Lead Engineer jobs at MongoDB

Atlas Growth seeks a mid-level software engineer (Software Engineer 3). SE3s are solid contributors to projects they work on and often lead projects of their own. They act in accordance with MongoDB's core values and leadership principles, actively working toward a Senior role. The Team Atlas Growth's mission is to guide customers through their app development journey: from cluster configuration, data modeling, to running a production workload at scale. We use an in-house experiments platform which helps us validate our features quickly, releasing only the work that positively impacts our customers. Our engineers participate in cross-functional “squads” with product, design, analytics, and research focusing on a single metric (e.g. retention). Atlas Growth 1 builds customer-facing features across the MongoDB product suite and sits alongside other Growth engineering teams. Recent projects include a personalized landing page for Atlas, a recommendation system that offers tips for better database performance, and a pricing page designed to optimize conversion rates. This position is based in our New York office and open to our “Flexible” or “In Office” working models. Candidate Profile 3+ years of software engineering experience Fluency in TypeScript and JavaScript Proficiency in Java, Go, C++/C, or a similar compiled language Experience writing database queries, either document-based or relational Experience writing and reviewing technical specs, and leading small projects Interest in A/B testing or product design Expectations Contribute readable and well-tested code to ongoing projects Write scope and technical spec docs for new projects assigned by your manager. Lead small working groups of two or three engineers for these projects Participate actively and constructively in code and document reviews Help product management identify improvements for features you own and drive them to completion Triage incoming support requests and alerts for products you own, and participate in group-wide on-call rotation once onboarded About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform-the most widely available, globally distributed database on the market-helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers-including 75% of the Fortune 100 and AI-native startups-relying on MongoDB for their most important applications, we're powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB. To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: ********** MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is:$101,000-$198,000 USD

The Product team builds full-stack features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements-thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve You will work full-stack to develop new features used by millions of Asana users Participate in every step of the product development process with an open and curious team Develop clean, beautiful code and leave it better than you found it Experience growth and development by being paired with a mentor who will support and guide you through opportunities to stretch and learn About you 3+ years of experience working within large, well maintained codebases Experience using Typescript and React Excellent communication skills for collaborating with other teams Sound judgment when balancing moving quickly with producing quality code and long-term code maintainability Passionate about creating a superlative user experience and attentive to details Appreciate productivity and care deeply about helping teams collaborate more effectively and efficiently, including your own At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $171,000 - $209,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AS2

The Web Infrastructure team speeds up product engineering by making it easy to build and ship complex web app features. From core UI libraries to data loading APIs, these frameworks empower product engineers to easily build highly-reactive and fast product features at scale. We are looking for a Senior Software Engineer to help make our engineering team move even faster. You will help identify points of friction in software development at Asana and design new approaches that are easier and safer to use. You will work with our world-class team of engineers to influence the direction of software development patterns across the company. This role is based in our New York City office with an office-centric hybrid schedule. Along with most Asanas, you'll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. What You'll Achieve: Design, build, and iterate on Asana's data loading frameworks that impact every aspect of the product Partner with product engineering teams to identify opportunities to speed up development at Asana, and help the company achieve our goals. Become an expert in Asana's frontend and data loading frameworks, supporting product teams through office hours and presentations on our frameworks About You: 4+ years of experience in software engineering, or equivalent Comfortable transitioning between different areas of a large codebase Passionate about learning software best practices and sharing that knowledge with other engineers Experience driving complex technical projects, sometimes spanning multiple teams, and you know when to ask for help and find answers from other people Experience mentoring others on the team Curious to learn about new technologies and systems, and teach others Able to make and articulate technical tradeoffs in decisions that have cross-cutting impact. Excited about the latest and greatest frontend and data loading technologies Familiar with React / GraphQL ecosystem, TypeScript, Scala (nice to have) Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000-$258,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid

The Product team builds full-stack features end-to-end. From designing our data models to implementing the subtle interaction behaviors that differentiate good software from great software. We work closely with UI designers and are supported by our infrastructure team. We aim to delight users with both large new features and smaller, daily product enhancements-thanks to our continuous deployment architecture. We want to create a superlative user experience, down to the smallest details. We're looking for experienced software engineers to join our product engineering group in New York where we're building features that are core to the Asana product. Our focus is to improve work management both within and across teams, ranging from helping team leads and individual contributors plan and execute their work in Asana, to helping senior managers leverage Asana to monitor and support broad, complex initiatives within their organizations. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve You will work full-stack to design, build and release new functionalities used by millions of Asana users Make consistent contributions to Asana's core product with a focus on overcoming tricky technical challenges and modelling practices that improve quality and velocity Mentor other engineers through activities like pairing and code reviews to promote a culture of technical excellence Own and support technical design and execution for medium and large projects on the team (and sometimes partner teams) Partner with the team's Tech Lead to drive aspects of the technical strategy About you 5+ years of experience working in large codebases 1+ years of experience leading complex projects Sound judgment when balancing moving quickly with producing quality code and long-term code maintainability Experience working cross-functionally with stakeholders and PM/Design partners to define requirements, make tradeoffs and align on long-term plans Appreciation for productivity and deep care for helping teams collaborate more effectively and efficiently At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000 - $258,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AS2

The Reactive Data Loading team speeds up product engineering by making it easy to build and ship complex web app features. From core UI libraries to data loading APIs, these frameworks empower product engineers to easily build highly-reactive and fast product features at scale. We are looking for a Senior Software Engineer to help make our engineering team move even faster. You will help identify points of friction in software development at Asana and design new approaches that are easier and safer to use. You will work with our world-class team of engineers to influence the direction of software development patterns across the company. This role is based in our New York City office with an office-centric hybrid schedule. Along with most Asanas, you'll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. What You'll Achieve: Design, build, and iterate on Asana's data loading frameworks that impact every aspect of the product Partner with product engineering teams to identify opportunities to speed up development at Asana, and help the company achieve our goals. Become an expert in Asana's frontend and data loading frameworks, supporting product teams through office hours and presentations on our frameworks About You: 5+ years of experience in software engineering, or equivalent Comfortable transitioning between different areas of a large codebase Passionate about learning software best practices and sharing that knowledge with other engineers Experience driving complex technical projects, sometimes spanning multiple teams, and you know when to ask for help and find answers from other people Experience mentoring others on the team Curious to learn about new technologies and systems, and teach others Able to make and articulate technical tradeoffs in decisions that have cross-cutting impact. Excited about the latest and greatest frontend and data loading technologies Familiar with React / GraphQL ecosystem, TypeScript, Scala (nice to have) Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. What we'll offer: Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000-$258,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI. Cloudera Data Engineering is the next-generation cloud-native service that helps our customers run large-scale data engineering workflows made up of industry-standard big data processing frameworks like Apache Spark and Apache Airflow with just a few clicks, across both on-premises and public cloud environments. We are seeking a Staff Engineer with a strong technical background in data infrastructure space to lead the Cloudera Data Engineering experience for all customers using Cloudera Data Engineering Spark and Airflow. This high-impact IC role offers the opportunity to shape the future of Cloudera's Data Engineering space across multiple cloud environments, impacting thousands of customers worldwide. As a Senior Staff Engineer in the Cloudera Data Engineering space, you will: Gain deep technical knowledge across the Cloudera Data Engineering technical stack, with a focus on Spark and Airflow, and apply this expertise in your daily work. Work with a team of talented infrastructure engineers. Help hire and mentor engineers while supporting their career growth. Drive architecture and design discussions, providing strong technical direction for the team. Collaborate with product, engineering, and cross-functional partners, leading the delivery of several large, critical features in Cloudera's data engineering experience. Work on large-scale distributed systems, ranging from hundreds to thousands of nodes in production clusters. Bring passion for programming, clean coding practices, attention to detail, and a strong focus on quality. We are excited about you if you have: Relevant studies / BS or MS in Computer Science or related field 5+ years experience as a Software Engineer in infrastructure space Strong understanding of at least one of the following languages: Java, Scala, C++, Python. And interested to learn the languages we're using. Passionate about programming, clean coding habits, attention to detail, and focus on quality Excellent communication and collaboration skills (Most importantly) Open-minded attitude, desire to learn new things and build great products It's a plus if you have: Experience with public cloud (AWS/Azure/GCP) and/or private cloud (OpenShift/Rancher) Experience with containerization (Kubernetes, Docker). Strong understanding of distributed systems and building systems at scale. This role is not eligible for immigration sponsorship. Why this role matters: This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data. We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet. What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-BV1 #LI-HBRID

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. We are seeking a highly skilled and motivated Staff Full Stack Engineer (contract position) to join our Product Security team, focusing on the development and enhancement of Heimdall, our internal vulnerability metrics and dashboard capability. This role demands an engineer with end-to-end full lifecycle development experience, adept at translating requirements, UI mockups, and specifications into a robust, reliable product that our internal stakeholders can trust for critical security insights. As a Staff Full Stack Engineer you will… Learn and Adapt Get familiarized with Cloudera's products and services end-to-end and gain a full appreciation for the product and development lifecycle. Understand our open source and proprietary ecosystem, and identify areas for improvement in terms of current CVE remediation efforts. Design and Development: Identify tooling and frameworks for improving developer productivity - AI/ML Tools that can expedite in remediating CVE fixes Design and develop POCs to enterprise-class solutions to enable the delivery of high-quality remediation across the entire customer-facing Cloudera stack. Process: Work alongside the product security team to evaluate and enhance existing security tools (SCA, SAST, DAST, etc.) and explore new technologies to improve vulnerability detection and remediation speed/accuracy. Integrate enhanced security scanning into CI/CD pipelines. Contribute to the development of a proactive dependency management strategy. Participate in defining and enforcing clear CVE SLAs and accountability. Collaboration & Communication: Work closely with cross-functional teams including Product Security, Engineering Component Teams, QE, Release Engineering, and Customer Support. Contribute to regular reporting on CVE debt reduction, SLA adherence, and other key metrics. Actively participate in daily stand-ups and other team meetings. We're excited about you if you have: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 5-7 years of experience as a Software Engineer, with a strong focus on security and vulnerability remediation as a big plus. Strong proficiency in at least two of the following programming languages: Python, Go, TypeScript, React JS. Proficiency with vulnerability management CVE tooling such as Aquasec, Triaging, and JIRA ticketing. Hands-on experience with tools like Docker, Maven, SonarQube, Harness, Jenkins, and GitHub Actions. Experience with relational databases (e.g., Postgres/RDS). Familiarity with cloud essentials, particularly Kubernetes and AWS. Experience contributing to open-source projects is a plus. Excellent problem-solving skills, with the ability to diagnose and resolve complex security issues in large-scale software systems. Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Experience with large-scale software development and testing. This role is not eligible for immigration sponsorship. EEO/VEVRAA #LI-SZ1 #LI-REMOTE

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Your Impact We are seeking an experienced Data & Analytics Senior Engineer to design, build, and deploy complex data models in Anaplan and manage data warehousing projects, as well as build and deploy internal applications to support our technology lifecycle, service delivery, and collaboration tools. You will integrate data from SaaS sources like Salesforce, Adobe Analytics, Workday, and Splunk into Anaplan and Google BigQuery. You will also: Maintain the highest levels of development practices, including creating technical designs, writing clean, self-sustaining code, and managing system configurations. Implement and maintain DataOps practices, including managing data infrastructure as code (IaC) with Terraform and utilizing Git for version control. Work closely with analysts and business process owners to translate business requirements into technical solutions and present analysis results. Conduct Database Performance Tuning, Load Testing, Data Migration, and design efficient ETL/ELT processes. Drive projects to synchronize efforts and achieve business goals. Your Qualifications 8+ years in data orchestration, data warehousing, and ETL/ELT development. Proficient in Python (production-level scripting, understanding existing code, Pandas DataFrames, ReST API Calls). Proficient in SQL Querying; extensive experience with Google BigQuery and the broader GCP platform. Strong knowledge of database concepts. Proven experience developing and troubleshooting ETL/ELT processes. Exposure to ETL tools (e.g., Informatica is a plus) and understanding of ETL/ELT architecture, including Modern Data Architecture (Data Lake). Experience with Git for version control and Terraform for Infrastructure as Code (IaC). Familiarity with CI/CD principles. Strong troubleshooting skills are a must for identifying and resolving complex data issues. Model-building experience in Anaplan is highly valued. Project Management Experience working in an Agile/Scrum environment using tools like JIRA. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to ****************** before taking any further action in relation to the correspondence.

The opportunity Datadog's APM Experiences team owns the core product experience for Application Performance Monitoring - including distributed tracing, service representation, and more. We're building a new wave of AI-powered capabilities that help customers detect, resolve, and prevent performance issues faster. In this role, you will lead end‑to‑end development of LLM- and Agent‑based features that can: Debug and investigate application performance issues down to the root cause, as both a developer assistant and a fully autonomous agent Proactively recommend performance and reliability-based optimizations to prevent the next incident Automatically create intelligent monitors and SLOs for the most important business flows and critical paths This is a highly product‑minded engineering role: you'll work from problem discovery and UX all the way to reliable, scalable production systems. What you'll do Shape AI experiences for APM. Design and ship LLM/agentic workflows that analyze traces, metrics, logs, and other telemetry to generate diagnoses, explanations, and guided fixes. Own the full loop. Prototype quickly, define success metrics and evals, run experiments, iterate, and ultimately productionize for scale and reliability. Build robust agent systems. Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths. Integrate with Datadog's platform. Leverage surfaces like Trace Explorer, Service Catalog, monitors, and workflows to deliver end‑to‑end value in the APM UI. Partner deeply. Collaborate with PM, Design, and partner teams to build cohesive experiences. Raise the bar on engineering. Write performant, maintainable backend code, own services in production, and improve reliability for high‑throughput, low‑latency data systems. Who you are Product‑minded engineer who ships AI to production 4+ years building backend or real-time ML systems; you value simplicity, correctness, and performance Proven experience delivering LLM/agent features to production (prompting, tooling, evals, safety/guardrails) Comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics Strong ML / applied science fundamentals Solid grasp of the ML lifecycle (task definition, dataset collection, modeling, evaluation, deployment, iteration) and statistics (experiment design, confidence intervals) Experience choosing/modeling the right technique for the job (e.g., anomaly detection, ranking/recommendation, NLP), and knowing when a heuristic beats a model Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions Distributed systems & observability savvy Experience with microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns Proficient in Go, Java, or Python; strong API/service design; production ops (monitoring, alerting, on‑call rotation) Nice to have Hands‑on with distributed tracing stacks (OpenTelemetry/Datadog APM), profilers, and logs/metrics pipelines Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data Familiarity with SLO/SLA practices and incident response Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business. Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn. Competitive global benefits. Continuous professional development. Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:$187,000-$240,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale-trillions of data points per day-providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog's Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog's senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You'll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several teams or product lines. Drive the design and delivery of high-scale, high-impact projects, from vision to execution in production. Build consensus and alignment across stakeholders on key architectural decisions and long-term strategy. Deeply investigate and optimize performance, reliability, and efficiency in large-scale distributed systems. Collaborate with Staff Engineers, Directors, and VPs across the company to shape Datadog's technical roadmap. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent practical experience. You have 10+ years of backend, infrastructure, or distributed systems engineering experience. You have 4+ years of experience leading complex technical initiatives and cross-team projects. You have designed and delivered systems that are deeply technical, highly reliable, and serve critical business needs. You can navigate and make progress in ambiguous problem spaces, identifying the right problems to solve. You have exceptional communication skills, with the ability to align diverse stakeholders around a shared technical vision. You have deep expertise in one or more core systems domains-such as distributed storage, event streaming, networking, data infrastructure, or large-scale observability-and broad awareness of adjacent areas. You care about getting things right, not just getting them done, and you raise the bar for engineering quality around you. You're excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:$272,000-$340,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

The Mobile team's mission is to enable teams to work together effortlessly, even when they are away from their desktops. We partner closely with Product Designers, PMs, and other product engineering teams to continuously improve the Asana experience for our customers on-the-go. We work hard to maintain a codebase and a culture that is a joy to work in by combining mobile best practices with many of the innovative opportunities that our in-house frameworks provide. Software Engineers at Asana are quickly trusted to own major parts of both the codebase and our processes through the Areas of Responsibility system. We expect you to thrive in defining and solving problems, with mutual support from your peers. This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Ship fast and deliver high-quality experiences to our global users in close collaboration with Product and Design partners. Elevate engineering standards through strategic technical investments, delivering improved code quality, expanded test coverage, and reduced technical debt. Craft well-documented, well-structured, and well-tested code. Help the team improve by providing thoughtful feedback in code/design reviews and mentoring others. Accelerate Asana's Mobile teams by leveraging the latest practices, tooling and SDKs. Own and contribute to AoRs (Areas Of Responsibility). About you 5+ years of experience developing, releasing, and maintaining high-quality iOS applications, ideally using Swift. Aware of the latest developments in the iOS ecosystem. Advocate for leaving code better than you found it. Passion for crafting a delightful end-user experience. Commitment to continuous improvement and mentorship. Good judgment for balancing scrappiness and long-term code maintainability. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $202,000- $258,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid

We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale-trillions of data points per day-providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog's Staff Engineers are our technical leaders operating at the forefront of technology, building solutions that take us through at least our next five years of growth. They do this in three major ways: As individual contributors, they bring world class technical abilities to deliver industry leading systems in areas such as data visualization, virtual runtime profiling, and planet scale streaming. As technical leaders they bring experienced technical breadth and communication skills to tackling design and architectural problems spanning the organization, charting the right course, then leading delivery. In both roles they participate in the staff engineering community and help us learn from what the industry is doing and what we've built before, and so improve company wide standards around software and systems engineering. Some examples of projects a staff engineer may own include designing and building a new data storage engine handling hundreds of millions of records per second, being the lead engineer building a new product like synthetics or profiling, or rebuilding a critical service to handle the next two orders of magnitude of scale. Requirements: You have a BS/MS/PhD in a scientific field or equivalent experience 10+ years of relevant engineering experience 4+ years of technical leadership experience, either as a manager or technical leader You have led the design and delivery of industry-leading systems, either in their unique depth of technical expertise needed and/or in their scope of impact across a company's engineering org You will: Be the technical owner of multiple pieces of critical architecture in your area of the business Own delivery of the systems you architect from beginning-to-end, doing what it takes to get things shipped and at full scale in production Dive deep into performance of systems; inventing new approaches that bring efficiency at scale Bonus: You're excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:$234,000-$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

We're on a mission to build the best observability platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale-trillions of data points per day-providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity The Metrics Query team owns and operates the “read” side of Datadog's metrics platform. Our systems provide the APIs and interfaces for querying time series data. These systems parse, plan, execute, and cache trillions of queries per day. Our challenge is to efficiently and pragmatically scale these systems while continuing to add new capabilities that delight our customers. What You'll Do Help design, build, and operate the next-generation query systems that will unlock new use cases for Datadog across observability, business analytics, AI/ML, and beyond. Work closely with adjacent teams operating storage and intake systems to provide the best end-to-end platform solutions. Collaborate with engineers and product managers across Datadog to build features that exceed our customers' expectations and work seamlessly across data platforms. Occasionally be on call for your team's services, responding to alerts to ensure we're always operational for our customers. Who You Are You have a BS/MS/PhD in a scientific field or equivalent experience 10+ years of relevant engineering experience You have several years of experience leading cross-team initiatives in a platform or infrastructure-focused environment You have experience with query systems and/or time-series databases You have led the design and delivery of industry-leading systems You're excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth Competitive global benefits New hire stock equity (RSUs) and employee stock purchase plan (ESPP) An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:$234,000-$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog's Staff Engineers are our technical leaders operating at the forefront of technology, building solutions that take us through at least our next five years of growth. They do this in three major ways: As individual contributors, they bring world class technical abilities to deliver industry leading systems in areas such as data visualization, virtual runtime profiling, and planet scale streaming. As technical leaders they bring experienced technical breadth and communication skills to tackling design and architectural problems spanning the organization, charting the right course, then leading delivery. In both roles they participate in the staff engineering community and help us learn from what the industry is doing and what we've built before, and so improve company wide standards around software and systems engineering. Examples of projects you might take on as a staff engineer include designing and implementing a major improvement to a system or tool that many application engineering teams depend on, developing a new Datadog product line from initial outline to public launch (and beyond), or breaking down a complex UX problem, solving the fundamental workflows, and polishing your solution until it feels totally intuitive. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: Use your expertise to design and deliver technology that will power the next generation of products Take cross-team decisions that will influence the Datadog frontend community at large Lead through example and excellence, helping the people around you grow Improve processes on your team, and across the whole of frontend engineering Who You Are: 10+ years of relevant engineering experience 4+ years of technical leadership experience, including both effective communication of complex concepts and experience coordinating across teams to ship critical products Strong UI/UX intuition, adept at working closely with product design and product management stakeholders to develop a shared vision and deliver on it You have led development of high-complexity, high-performance interactive browser applications, including architecture, interaction design, and optimization Ability to bring best practices from across the world of software engineering and adapt them to the frontend environment Knowledge of React and TypeScript Benefits and Growth: High income earning opportunities based on individual performance New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Giving programs #LI-SH1 Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:$234,000-$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

We're on a mission to build the best observability platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale - trillions of data points per day - providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity Query Experience is the organization responsible for defining and delivering the unified interface through which all internal and external users query and interact with data at Datadog. We build the APIs, planning layers, semantic infrastructure, and UI platforms that power querying across all telemetry data types-metrics, logs, traces, events, and more. Our work spans developer experience, natural language interfaces, schema-aware querying, and intelligent access patterns. Together, we support hundreds of engineers, countless dashboards, AI agents, monitors, and backend systems across Datadog. Datadog is building the next generation of federated query systems, enabling: Cross-org & cross-region querying for exec dashboards and incident response Federated search into customer-managed stores Data sovereignty-aware federation, where sensitive fields are controlled At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead design of the query planner that splits, dispatches, and joins queries across orgs, regions, and customer stores Architect and implement the service to transmit plans and data securely across Datadog regions and customer space Define and enforce data sovereignty policies Collaborate with product teams to bring this into dashboards, monitors, SOC workflows, and executive KPIs. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have 10+ years of relevant engineering experience, and experience acting as a technical lead You have experience with query federation, distributed joins/unions, and multi-source query execution (e.g., Substrait, Trino, DataFusion, Calcite, Presto). You have a strong grasp of query optimization under constraints like cost, latency, and partial pushdowns You are excited to work cross-functionally to build alignment You're excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:$234,000-$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

The opportunity Datadog's APM Experiences team owns the core product experience for Application Performance Monitoring - including distributed tracing, service representation, and more. We're building a new wave of AI-powered capabilities that help customers detect, resolve, and prevent performance issues faster. In this role, you will lead end‑to‑end development of LLM- and Agent‑based features that can: * Debug and investigate application performance issues down to the root cause, as both a developer assistant and a fully autonomous agent * Proactively recommend performance and reliability-based optimizations to prevent the next incident * Automatically create intelligent monitors and SLOs for the most important business flows and critical paths This is a highly product‑minded engineering role: you'll work from problem discovery and UX all the way to reliable, scalable production systems. What you'll do * Shape AI experiences for APM. Design and ship LLM/agentic workflows that analyze traces, metrics, logs, and other telemetry to generate diagnoses, explanations, and guided fixes. * Own the full loop. Prototype quickly, define success metrics and evals, run experiments, iterate, and ultimately productionize for scale and reliability. * Build robust agent systems. Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths. * Integrate with Datadog's platform. Leverage surfaces like Trace Explorer, Service Catalog, monitors, and workflows to deliver end‑to‑end value in the APM UI. * Partner deeply. Collaborate with PM, Design, and partner teams to build cohesive experiences. * Raise the bar on engineering. Write performant, maintainable backend code, own services in production, and improve reliability for high‑throughput, low‑latency data systems. Who you are Product‑minded engineer who ships AI to production * 4+ years building backend or real-time ML systems; you value simplicity, correctness, and performance * Proven experience delivering LLM/agent features to production (prompting, tooling, evals, safety/guardrails) * Comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics Strong ML / applied science fundamentals * Solid grasp of the ML lifecycle (task definition, dataset collection, modeling, evaluation, deployment, iteration) and statistics (experiment design, confidence intervals) * Experience choosing/modeling the right technique for the job (e.g., anomaly detection, ranking/recommendation, NLP), and knowing when a heuristic beats a model * Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions Distributed systems & observability savvy * Experience with microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns * Proficient in Go, Java, or Python; strong API/service design; production ops (monitoring, alerting, on‑call rotation) Nice to have * Hands‑on with distributed tracing stacks (OpenTelemetry/Datadog APM), profilers, and logs/metrics pipelines * Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data * Familiarity with SLO/SLA practices and incident response Benefits and Growth: * Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. * Have a lot of influence on product direction and impact on the business. * Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn. * Competitive global benefits. * Continuous professional development. Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

We're looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog's Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You'll act as a technical leader within the APM group, focused on agentic workflows. You'll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We're looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production. Build and benchmark GenAI/ML models using state-of-the-art techniques. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience 10+ years of relevant engineering experience, as well as experience acting as a technical lead Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment You have significant experience in model deployment, development, training, fine-tuning, or evaluation Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

We are looking for a Staff Engineer to join our Event Platform Storage team. Our Event Platform ingests, transforms and stores events to provide more than 30 Datadog products data retrieved by a query API at a rate of ~15 Million messages/second. With a focus on a high-level of reliability, you will contribute to a platform using Java, Go and Rust. Engineers with a background or interest in the challenges of optimizing distributed systems for durability, high availability, low latency and scalability are encouraged to apply. Husky Blog Husky Deep Dive This is a unique opportunity to contribute to one of the most critical platforms at Datadog. This platform provides a scalable, exactly-once, cost-effective, and reliable storage engine for timestamped payloads with a full-featured and fast query engine with multiple integration options.. We have challenges to continue scaling these components and add new features important for our customers. This is an opportunity to accelerate the growth of one of the most profitable parts of the business. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Design and drive high priority, high visibility projects that increase the platform's resilience and scalability across multiple teams Lead and guide others through architectural decisions for new and existing distributed, high-throughput, real-time systems Identify potential system risks and trends in reliability, and design solutions to address them Provide input on prioritization of engineering-led initiatives in short- and long-term planning and roadmaps Collaborate closely with partner platforms that integrate and depend on the event platform to provide critical capabilities to their customers Who You Are: You have led cross-team initiatives in a platform or infrastructure-focused environment for 2+ years. Passionate about performance and efficiency optimization. You have led impactful technical initiatives in an environment where performance, reliability, and accuracy are first-order concerns You have a reliability-oriented mindset and care deeply about designing and building resilient architectures You have significant back end programming experienced and have architected, built, and operated distributed systems to solve problems at high scale You're excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:$272,000-$340,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

We're looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog's Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You'll act as a technical leader within the APM group, focused on agentic workflows. You'll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We're looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Serve as the technical owner for GenAI initiatives within APM, leading design, development, and deployment of ML/AI-powered features across multiple teams. Guide long-term strategy and technical direction for GenAI workflows across APM and related products. Build and benchmark GenAI/ML models using state-of-the-art techniques. Contribute to Datadog's broader senior engineering community through thought leadership and collaboration on company-wide initiatives. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience 10+ years of relevant engineering experience, including 4+ years leading cross-team technical initiatives. Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment You're highly proficient in model development, deployment, evaluation, and optimization, with hands-on experience in building end-to-end ML systems. Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges You are passionate about mentoring others and cultivating a high-performing engineering culture. You're excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is:$272,000-$340,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.