Senior operations engineer work from home jobs - 1673 jobs

A leading storage solutions company is seeking a Senior Project Engineer in Data Center Design. You will manage design projects valued between $50-70 million and interface with multiple teams to ensure successful outcomes. Ideal candidates should have a four-year degree, 7-10 years of experience in relevant fields, and strong mechanical or electrical expertise. Responsibilities include overseeing complex designs and supporting sales efforts. This role offers a salary range of $123,500 to $164,700. #J-18808-Ljbffr

Regional Application Engineering Leader with FR3 Fluid / Transformer Oil You know transformers inside out - the hum, the heat, the physics behind the oil. But what if your next step wasn't just about keeping systems running, but redefining what powers them? As a Regional Application Engineering Leader, you'll be the go-to expert on FR3 fluid - guiding manufacturers, training end users, and helping shape how the next generation of transformers are built. You'll travel, teach, solve problems, and show why innovation and reliability don't have to clash. Every week brings a new challenge: answering tough questions from the field, collaborating with design engineers, or presenting ideas that move the industry forward. You won't just support change - you'll drive it. What You'll Do Build strong technical relationships with transformer manufacturers and end users. Provide technical training, on-site and virtual, to support commercial and engineering teams. Lead and support technology projects that enhance application and adoption of FR3 fluid. Offer technical expertise for product application and problem-solving. Represent the company at industry events and conferences through papers or presentations. What You'll Bring Bachelor's degree in a related field. 4+ years of related engineering experience. Understanding of insulating liquids and transformer design principles. Experience in power or distribution transformer manufacturing, or customer technical support. Willingness to travel up to 50%. Strong communication and collaboration skills. #J-18808-Ljbffr

Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. Website: https://www.recruitingfromscratch.com/ Role Title of Role: Lead AI Engineer Location: Remote Company Stage of Funding: Early-Stage Venture-Backed (Series A) Office Type: Fully Remote Salary: $200,000 - $300,000 base + equity Company Description We are representing a fast-growing, venture-backed software company building next-generation integration and automation infrastructure powered by AI. With strong early traction (100+ paying customers) and a team of experienced founders and early employees from category-defining companies, this is an opportunity to join at a formative stage and make a major impact. The company is backed by top-tier venture investors and notable industry founders. This is an exciting time to come onboard: the team is small and highly technical, the product is scaling rapidly, and the leadership is prioritizing this hire as a top company initiative. What You Will Do As the Lead AI Engineer, you will take end-to-end ownership of a flagship AI product-a specialized agent designed to streamline complex integrations. You'll play both a hands-on technical role and a strategic one, helping shape product direction, architecture, and execution. Key responsibilities include: Leading development of AI-powered integration agents from scratch Designing system architecture and ensuring scalability, reliability, and performance Gathering requirements from internal stakeholders and shaping product direction Driving hands-on implementation and technical decision-making Coordinating across engineering and product teams to ensure smooth execution Managing code quality, test coverage, documentation, and technical debt Potentially growing and leading a small team as the product scales Ideal Candidate Background Proven experience building and deploying AI agents or applications on top of large language models (LLMs) Strong background in backend software engineering and systems design Practical experience with APIs, integrations, and developer tools Ability to take full product ownership-requirements, architecture, and execution-without heavy product management support Startup experience, especially at early-stage companies, where autonomy and speed are essential Strong communication skills for working with both technical and non-technical stakeholders Preferred Experience building specialized AI agents (e.g., OpenAI Agent, Lovable, or similar projects) Track record of building developer-facing products or integration platforms Familiarity with TypeScript (or willingness to work in it) A history of shipping impactful side projects in AI/automation Ability to thrive in fast-paced, ambiguous, early-stage environments Compensation and Benefits Salary: $200,000 - $300,000 base Equity: 0.5% - 1% ownership in the company Remote-first culture with full flexibility and autonomy Significant impact and ownership over a flagship product Backing from leading venture funds and founders in AI and SaaS Opportunity to join a rapidly growing team at a formative stage, with substantial career growth potential This is a rare opportunity to take full ownership of building a cutting-edge AI product from scratch at a high-growth startup. If you're excited about shaping the future of AI-powered integration and want both impact and autonomy, this role is for you. #J-18808-Ljbffr

Saga's mission is to give developers what they need to build the next 1000 chains in the multichain metaverse, or multiverse. We are a protocol for automatically provisioning application-specific blockchains in the multiverse. We are rearchitecting developer and end-user interactions with blockchains. Using shared security, innovations in validator orchestration, and an automated CI/CD deployment pipeline standardized across apps in single-tenant VMs, Saga makes launching a dedicated blockchain, or chainlet, as easy as deploying a smart contract. Saga's initial focus will be on gaming and entertainment chains. As the metaverse expands, performance requirements and end-user expectations are climbing higher and higher, and crypto-based applications must deliver. Our vision is ambitious, and we need the smartest and most determined engineers to join us on our journey. We are a world‑class team of veteran web3 entrepreneurs and builders from Ignite (Tendermint), Apple, Twitter, NVIDIA, and Skuchain, and we're looking to grow. We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and international team that will support you in your personal and professional growth. This is an exciting opportunity to take an active part in the blockchain space and contribute to the decentralization of the future. The Work Design, document, and implement quality backend architectures, services, and tooling that leverage the CosmosSDK / CometBFT technology stack Develop high-quality, performant, modern, clean and readable code within tight deadlines Work collaboratively with the engineering, design, and product teams, contributing ideas that add value to our product roadmap and company goals Own the development and maintenance of the project from ideation to deployment Must Have Minimum 7 years experience in designing and implementing quality backend architectures. Experience contributing to Cosmos SDK, CometBFT, IBC, Ethermint, and other modern consensus algorithms, ZK, base primitives, EVM, and Solidity used today in production. Minimum 5 years of experience working with Golang. Exceptional problem‑solving, analytical, and communication skills Experience with distributed systems architecture Understanding of blockchain systems like Ethereum or Cosmos Good knowledge of cryptographic primitives such as public/private keys, hash functions and Merkle trees Experience with GitHub or other developer collaborative tools Nice to Have Experience with Kubernetes and containerization and different cloud providers like AWS or GCP. Experience with performance optimizations Contribution to open‑source projects Benefits Work Remotely from anywhere in the world Work on exciting things. The world of crypto is our playground! Flexible working hours Flexible vacation policy Competitive Salary Stock options Full benefits* * Medical, Dental, Vision and 401k retirement plans. For US Employees only. #J-18808-Ljbffr

Empower the voices of the ******************** you want to push the world of podcasting into the future, come join a team that loves to live on the edge! We are a fully distributed team of smart people who are passionate about changing the world one voice at a time. You should join us if you: You have significant experience with codecs / encoding / transcoding, media containers, streaming You have a good understanding of computer science fundamentals. You might not have gone to school for it, but you know the difference between heap and stack, different time complexities, which patterns to use, and when You are not afraid of words like H264, VP8, I-frames, P-frames, NALU, SVC, DTS You are ambitious. You might want to build your own company one day or have tried to tackle the toughest tech problems just for fun You have deep experience writing C / C++ You are open to writing typescript sometimes You have an eye for performance. Whether thinking about maintaining the best frame rates, or creating the fastest video codecs you care about speed. You are a team player. One team, one dream. You have good communication skills. You can write a technical spec as well as play “Among Us” with the team and find the imposter! What sets you apart: You have a passion for high-performance applications You have significant open source contributions You want to work in a fast-growing startup. Which comes with the blood, sweat, and tears of working to disrupt an established industry You have empathy for the end-user. A spec is a conversation starter, as an advocate for the end-user you always are thinking about how to best serve their needs You have an eye for code quality and you strive to uphold best practices in engineering, security, and design Why you should choose us: You'll be working with world‑class engineers, Ph.D.'s, and designers in a fully distributed team Work in an agile and fast-changing environment Equity commensurate to your contribution in a profitable company Health insurance Unique challenges and the support and talent to solve them 4 weeks PTO Freedom to work where you please Office setup budget Continuing education credits What we're looking for: 5 + years of С/С++ experience Ability to lead the design and implementation of major software components, systems, and features Bonus points if you have: Experiencing working in high traffic, low latency applications Digital Signal Processing experience Experience working with bleeding edge technology of video and audio processing Experience deploying a/v pipelines on edge devices We are flexible! For the right candidate, we ask: What do you need to do your best work? #J-18808-Ljbffr

A tech innovation firm in San Francisco seeks engineers to build scalable platforms and integrate systems for deeper AI-powered intelligence. The role emphasizes collaboration with design and engineering teams, and requires solid backend tech skills, including Python and SQL. Candidates should have a strong desire to win as a team and be comfortable with ambiguity. The company offers a remote-first culture with opportunities for collaboration and competitive compensation aligned with Tier-1 market data. #J-18808-Ljbffr

A leading software development company in San Francisco is seeking experienced Engineers to join their Vault team, focused on building and scaling encryption key management products. Responsibilities include architecting systems for real-time encryption, collaborating with customers and other teams, and mentoring junior engineers. Candidates should have 5+ years of software development experience, particularly in security and encryption. Benefits include competitive pay, healthcare coverage, remote work flexibility, and equity grants. #J-18808-Ljbffr

A leading telecommunications company seeks a Manager of Cyber Defense Engineering to lead a remote team of security engineers protecting enterprise applications and cloud infrastructures. This role requires 7+ years in cybersecurity and strong expertise in WAF, MFA, and cloud security practices. The ideal candidate will develop security controls and strategies while collaborating with various teams to ensure compliance and enhance security frameworks. #J-18808-Ljbffr

About the Role Fluidstack is seeking a Senior Staff Network Engineer to lead our Network Deployment & Integration pillar. This role acts as the team lead, you'll be hands‑on building our first AI datacenter fabrics while establishing the deployment playbook that scales to GW deployments across multiple regions. This role demands equal parts technical depth and operational leadership. You'll time in the field executing deployments while building the systems, processes, and team that enable repeatable, factory‑line pod deployments. Success means handing over production‑ready fabrics to operations on schedule while building a deployment organization that can run 3-4 parallel datacenter builds. You'll develop a team of deployment engineers, establish handover criteria with cross‑functional partners (DC Ops, ICT, Validation). Focus Deployment Execution: Own hands‑on deployment of datacenter networks - front‑end fabric, back‑end fabric, BMS, management networks. Configure and validate switches, coordinate fiber/cabling remediation, manage hardware RMAs, and drive the first datacenter handover to production. Deployment Playbook Development: Build the repeatable deployment process that scales from double digit Megawatt to Gigawatt deployments. Define pre‑deployment checklists, turn‑up procedures, validation gates, and handover criteria. Document blockers, failure modes, and workarounds. Create the operations manual that allows future deployment engineers to execute independently with minimal guidance. Cross‑Functional Orchestration: Partner with DC Operations (rack/stack, power, structured cabling), ICT teams (fiber validation, insertion loss), Hardware (device staging, logistics), and Network Engineering (design review, config validation) to drive deployments to completion. Own the critical path - identify blockers within hours, escalatethe decisively, and ensure nothing stalls deployment timelines. Field Execution Leadership: Lead deployment teams in the field - coordinate travel, assign work, provide technical guidance during complex turn‑ups, and ensure quality standards. Build trust with datacenter partners through hands‑on problem solving and accountability. Handover Excellence: Define and enforce exit criteria for production handovers to Network Operations. Ensure every fabric meets standards for physical layer validation (OTDR traces, insertion loss), logical configuration (BGP/EVPN validation, reachability tests), observability (monitoring integration, alerting), and documentation (as‑built, cutsheets, runbooks). Own the relationship with Operations to ensure smooth transitions. About You Proven Deployment Leadership: 8+ years in network engineering with significant datacenter deployment experience. You've built large‑scale fabrics from the ground up - not just designed them, but physically turned them up in the field. You understand the gap between design and reality, and you know how to close it through detailed planning and relentless execution. AI Fabric Expertise: Deep hands‑on experience with modern datacenter fabrics - EVPN/VXLAN, BGP, CLOS topologies, high‑radix switching. Ideally, you've deployed AI/ML fabrics with RDMA (RoCEv2), lossless Ethernet (PFC, ECN), or equivalent high‑performance networking. You understand the precision required when every packet matters. Player‑Coach Mentality: You're equally comfortable getting hands on and building the team that scales beyond you. You've mentored, and developed engineers before. You know when to lead by example and when to delegate. You see building a team as part of the mission, not a distraction from technical work. Operational Pragmatism: You thrive in fast‑paced, ambiguous environments where perfection is the enemy of progress. You make pragmatic tradeoffs between speed and quality. You document as you go. You build processes that are good enough to scale, then iterate. You don't wait for perfect tooling - you ship with what you have and improve incrementally. Cross‑Team Influence: Exceptional at partnering across functions. You've coordinated complex projects involving hardware vendors, datacenter operators, cabling contractors, and internal engineering teams. You communicate clearly, escalatethe decisively, and earn trust through follow‑through and accountability. Travel Ready: Comfortable with 70-80% travel for extended onsite deployments during datacenter turn‑ups. Remote‑based but willing to be wherever the work is. You understand that deployment leadership means showing up when it's hard. Nice to Haves Hyperscale Background: Experience deploying networks at hyperscale companies (Meta, Google, Microsoft, AWS) or large AI infrastructure providers. You've seen what "good" looks like at scale and can adapt those lessons to a fast‑growing startup. Vendor Ecosystems: Deep familiarity with Arista, Juniper, or NVIDIA networking platforms. You know the quirks, the failure modes, and the workarounds. You have relationships with vendor TAC/SE teams and know how to escalatethe effectively. Automation Mindset: Exposure to network automation tools (Ansible, Terraform, Python) and source‑of‑truth systems (Netbox, DCIM). You may not be writing automation yourself, but you understand how to design deployments that are automatable and you partner effectively with automation engineers. Project/Program Management: Formal or informal experience with project coordination, Gantt charts, critical path management, and cross‑functional program execution. You've been the person who keeps complex initiatives on track when everyone else is focused on their own domain. Startup Experience: You've built something from scratch before - ideally in a high‑growth infrastructure or cloud company. You're comfortable with rapid context switching, evolving requirements, and the intensity of early‑stage company building. Salary & Benefits Competitive total compensation package (salary + equity). Retirement or pension plan, in line with local norms. Health, dental, and vision insurance. Generous PTO policy, in line with local norms. The base salary range for this position is $200,000 - $300,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options. We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. #J-18808-Ljbffr

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE As a Microsoft Copilot Studio Senior Engineer, you will lead the design, development, and deployment of sophisticated AI assistants using Microsoft Copilot Studio. This role demands deep technical expertise in integrating Copilot Studio with the Microsoft Power Platform, Microsoft Azure and enterprise applications. You will be responsible for building advanced AI features that are secure, scalable, and high performing. In addition to hands-on development, you will mentor junior engineers, contribute to architectural decisions, and help establish best practices for AI agent development across the organization. YOUR TASKS You will take ownership of the full lifecycle of AI agent development - from initial design and integration to deployment and optimization. This includes building custom connectors to integrate with external APIs and data sources and implementing advanced conversational AI capabilities based on large language models. You will ensure that all solutions meet enterprise-grade security and compliance standards. Your role also involves troubleshooting and maintaining deployed applications and providing technical leadership and support to team members working on cross-platform integrations and AI-driven automation. YOUR PROFILE 4+ years of experience in Conversational AI development, with significant hands-on experience in Microsoft Copilot Studio. Proficiency in building custom connectors and actions within Power Platform or Logic Apps. Deep hands-on expertise with Microsoft Azure AI services, including Azure AI Foundry, Azure AI Agent Service, Microsoft Copilot Studio, and Semantic Kernel. Strong understanding of Power Platform integration (Power Automate, Power Apps, Dataverse). Experience with enterprise data connectivity, including Microsoft Graph connectors. Proven ability to deliver scalable and secure AI solutions. Demonstrated leadership in designing generative AI solutions, including effort estimation, pricing, and client-facing business case development. Strong understanding of cloud design patterns, enterprise integration patterns, and responsible engineering practices. Experience identifying opportunities for transformation, automation, and AI within enterprise environments. Working knowledge of cloud architectures (AWS, GCP, Azure), enterprise integration patterns, and DevOps practices. Solid grasp of advanced AI concepts such as multi-agent workflows, reasoning and decision engines, and autonomous agent design. NICE TO HAVE Experience with Python for programmatic interaction with Copilot Studio agents (e.g., Semantic Kernel). Familiarity with the Microsoft 365 Agents SDK. Knowledge of OAuth 2.0 authentication with Microsoft Entra ID for secure integrations. Experience with rapid prototyping of generative and agentic AI solutions. Familiarity with Microsoft, SAP, and Oracle suites and their integration with AI. Experience with AI safety testing frameworks. Background in consulting or experience in a client-facing technical specialist role. WHAT YOU'LL LOVE ABOUT WORKING HERE Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home thanks to HO package (including laptop, monitor, and chair). Ask your recruiter about the details. Early support thanks to Buddy Programs: learn in the flow of work alongside our experts who collaborate on top-tier solutions for global enterprises, including 145 Fortune 500 companies. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

A technology collaboration company is seeking a Machine Learning Systems Engineer. This role involves building and scaling core infrastructure for AI and ML, mentoring junior engineers, and leading projects from design to launch. Candidates should be fluent in Java or Kotlin and have experience with AWS and machine learning. The position offers remote work options and competitive compensation ranges based on geographical zones. #J-18808-Ljbffr

Our Mission We're building infrastructure for modern healthcare delivery Traditional healthcare is plagued with outdated, monolithic EHRs designed to maximize billing outcomes. Patient outcomes and provider experiences have been afterthoughts, as these systems have bolted on non-API-first solutions. None of this is built for how clinically excellent healthcare is actually delivered-longitudinally and collaboratively, with the patient at the center. Healthie is the world's leading API-first, ONC-Certified EHR for healthcare delivery outside of the hospital. We provide the powerful infrastructure every scaling organization needs-EHR, scheduling, patient engagement, billing, and more-all accessible via modern APIs and a white-labeled UI. Our platform makes it simple for organizations of any size to launch, customize, and scale their care delivery models without reinventing the wheel. Today, over 1 billion API calls are made to Healthie every month, as thousands of organizations-working with more than 13 million patients in total-rely on Healthie to deliver care across a spectrum of specialties, from preventative health and wellness to complex chronic care management. We believe in the power of technology to improve access to healthcare-and we're building the rails that make this a reality. We work fast and with quality because we provide business-critical, healthcare-critical software that clinicians and patients need for a better healthcare system. We're customer-obsessed, operate with lightning-fast processes and responses, make our product roadmap public so customers can see what we're building, and remain relentlessly focused on how care gets delivered. Healthie is backed by leading investors, and while we've $42M raised to date, more importantly, we operate with fiscal responsibility and have been profitable for more than half of our time as a company. Learn more at **************************** About the role We're hiring a Staff Infrastructure Engineer to scale and secure the platform that powers Healthie. You'll design and evolve systems on AWS to ensure high availability, performance, and reliability as usage grows. Your focus will be on infrastructure automation, observability, and CI/CD pipelines-supporting millions of API calls and data transactions. You'll work closely with product engineers to provide a stable foundation for rapid development while shaping our long-term platform strategy. We move quickly and you'll have autonomy to make high-impact decisions, collaborate across teams, and mentor others while solving complex scaling challenges in healthcare technology. Our ideal candidate has deep experience with AWS infrastructure, monitoring and observability at scale, and building CI/CD systems that enable both speed and reliability. You're motivated by building resilient systems that directly improve the customer experience Details, details This is a full-time, remote position and U.S. work authorization is required. The salary range is $205,000- $235,000 plus benefits, equity, and annual bonus About you You have 8-10+ years of experience building and scaling infrastructure for SaaS platforms, with deep expertise in AWS. You're confident in designing resilient systems and have a strong toolkit that allows you to get up to speed quickly. Bonus points if you've worked in healthcare technology or other high-compliance environments. You'd consider yourself a full-spectrum engineer with strong foundations in cloud infrastructure, observability, and CI/CD automation. You're fluent in concepts like distributed systems, load balancing, caching, monitoring, and database optimization, and you know how to design infrastructure that supports rapid product growth without compromising reliability. You're a clear communicator who can break down complex technical concepts for both engineers and cross-functional partners. As part of a remote team, your writing and async communication skills are critical to your success. You are organized and self-directed. You thrive in environments where you can do great work independently, while collaborating effectively with peers across engineering and product. When you don't know something, you dig in, ask thoughtful questions, and embrace the chance to grow. You are a strong problem-solver who balances pragmatism with long-term vision. You're well-versed in the tools of the trade: AWS ECS, Kubernetes, Terraform, CI/CD pipelines (We use github and circleci), and observability platforms like Datadog, Grafana, SumoLogic, or AppSignal and you have familiarity with OTEL. This isn't just a stepping stone. You want to play a long-term role in shaping Healthie's infrastructure, mentoring others, and solving the complex scaling challenges that come with growth. Interview Process Quick chat with Katie, Director of Talent or Aaron, Senior Technical Recruiter (20 minutes) Interview with Cavan, CTO + cofounder (30 minutes) Technical Pairing Interview with Chris M, Staff Engineer, Platform (45 minutes) Group Interviews: Peer Interview with Platform Team members (30 minutes) Cross Functional Interview (30 minutes) Reference checks To learn more about Working at Healthie & our benefits, click here. Healthie participates in e-verify Healthie is committed to equal employment opportunity. All qualified applicants will receive consideration for employment without regard to and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. We're proud to be building a diverse and inclusive environment that encourages collaboration, creativity, and growth. Whatever your background, please apply if this is a role that would make you excited to come into work every day.

Spotify is looking for a Backend Engineer to join our Data Infrastructure engineering organization. You will forge new ground in how we help teams at Spotify build analytics for internal and Music industry facing tools. Our platform enables capabilities that include showing artists how many streams their latest release has to informing internal teams about their cloud resource usage. As a part of a platform team, you will help exemplify, measure and raise the reliability of data infrastructure of squads across different verticals within Spotify. You'll work closely with engineers to provide OLAP capabilities to build dynamic, reliable data visualizations and share responsibility with them in diagnosing, resolving, and preventing production issues. We are strong believers in engineering teams taking operational responsibility for their products and work hard to support them in this.What You'll Do Build, operate, and evolve data analytics platform that includes backend services as well as OLAP data store (Druid) for teams building analytics across Spotify. Build internal tooling, libraries, and services that streamline integration patterns with our analytics platform. Advocate for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability. Work in an autonomous, mult-functional environment and collaborate with squads across Spotify to continuously iterate and deliver on new product objectives. Who You Are 3+ years of relevant experience with distributed datastores, and backend services. Proficient in Java and excited to learn Kubernetes, Terraform. Understanding of data modeling, dimensional schemas, and analytical query patterns. Experience building internal developer tools, libraries, or shared services that support large engineering organizations. Strong sense of ownership of service quality, SLOs, and operational excellence. Familiar with OLAP databases or analytics warehouses (e.g., Druid, ClickHouse, Pinot, BigQuery, Snowflake). Experience with Druid is a strong plus. Comfort with metrics-driven development and observability stacks (Prometheus, Grafana, similar). You are a good communicator and an empathetic, attentive listener with the capability to anticipate the needs of partners You are deeply curious, and enjoy exploring both technical and organizational problems and domains. You are eager to learn new technologies and to expand your area of expertise Where You'll Be This role is based in NYC We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. The United States base range for this position is $125,562- $179,374 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: ***********************************

#TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors This IT Systems Engineer role is pivotal in designing, building, and maintaining enterprise identity and access management across Okta and integrated SaaS systems. By owning identity governance at scale, including SSO/SCIM integrations, automated employee lifecycle (Joiner/Mover/Leaver), and self-service access workflows, you'll help reduce security risks and improve operational efficiency. Working with stakeholders in Business Technology, People, and Engineering, you'll build event-driven automations, enforce access policies, and maintain SOX/compliance standards through reliable integrations and processes. This work drives strategic growth and supports the company's digital transformation. The Impact You'll Make If you excel at resolving complex Okta and identity issues, thrive as the escalation point for IT support, and enjoy building automation that removes friction for employees, this is the role for you. Your work will ensure reliable, secure access to the tools our teams rely on every day, reduce time-to-resolution for critical incidents, and enhance our team's capabilities through better processes, documentation, and mentorship. Your responsibilities will include: Administer Okta by managing SSO/SAML/OIDC, SCIM provisioning, groups, policies, MFA, and app assignments with clear ownership and audit trails, ensuring security and efficiency that support organizational success Design and operate self-service access workflows through Okta Request conditions, including approval routing, compliance tracking, and Jira integration for visibility and auditability Build and maintain integrations across People (Workday), identity platforms (Okta), and SaaS applications (Google Workspace, Atlassian) using Okta Workflows, Tray.io, Workato, and API/webhook patterns to automate processes and increase efficiency Own end-to-end employee lifecycle automation (Joiner/Mover/Leaver), including provisioning, access grants, and deprovisioning workflows. Document recovery paths for exceptions and verify alignment with the downstream systems Implement secure workarounds for SaaS applications that don't support SSO, including service account management, credential governance, and automated deprovisioning Serve as the escalation point for complex support and/or access-related issues originating from Level 1/2 helpdesk teams Partner with Compliance and Company stakeholders on periodic UARs (access reviews), RBAC tuning, and audit support, using Request Conditions history and ticket linkages What You'll Bring To The Team 3+ years of experience in Okta administration across SSO/SAML/OIDC, SCIM, group mapping, and policies, with a strong understanding of audit/SOX implications and documentation needs 5+ years of IT Support experience with escalation management and documentation Proven hands-on experience with iPaaS and automation platforms (Okta Workflows, Tray.io, Workato) to implement approval flows, listeners, and provisioning logic tied to event triggers Proficiency working with APIs and webhooks to integrate SaaS systems; ability to design workflows with retries and clear error handling paths Administration of SaaS apps like Google Workspace, Atlassian (Jira/Confluence), and Slack in an enterprise setting, aligned to identity governance and service management practices Clear stakeholder communication mindset and strong project management skills, helping align IT initiatives with business priorities and driving cross-functional impact Experience incorporating AI tools (e.g., LLMs like OpenAI, Agents) into everyday processes to improve operational efficiency, empowering you to drive meaningful innovation within the team Experience evolving self‑service models to improve user productivity while preserving scope boundaries Comfort implementing compliant exceptions when SSO is not supported by a vendor, using owner/service accounts with traceability in Okta logs and downstream automation Bonus Points Experience with Okta logging, SIEM monitoring tools (Splunk, etc.), and reporting Okta Certified Administrator or Okta Certified Professional/Consultant Certification Other IT certifications (Jamf, A+, Network+, Google IT Support, etc.) Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography. The starting salary for this role is expected to range from $120,000 to $130,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

We are seeking a motivated Junior Network Engineer to join our team, focusing on designing and maintaining low latency network infrastructures. The ideal candidate will assist in optimizing network performance and automating network processes. What You'll be doing: Network Maintenance and Automation: Assist in automating network infrastructure using zero-touch provisioning (ZTP) and continuous integration/continuous deployment (CI/CD) processes Latency Optimization: Participate in research and experimentation to identify opportunities for reducing network latency and improving overall network performance Cloud Services: Assist in managing cloud services from providers like AWS, GCP or AliCloud Scripting and Automation: Develop basic scripting skills in Python, Bash, or other languages to automate routine network tasks What we look for in You: Fundamental Network Knowledge: Basic understanding of computer networks, including routing and switching principles Linux Skills: Familiarity with Linux, particularly the network stack Nice-to-Have: Familiarity with network automation tools Basic understanding of hardware components in servers and networking equipment Cloud Experience: Basic experience with cloud services Scripting Basics: Familiarity with scripting languages Why should you join our team? Exciting challenges with ample opportunities for personal and professional growth A welcoming international team of highly qualified professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

About us Mythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications-whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 °C to +125 °C, making it ideal for industrial, automotive, aerospace, and defense. We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets. About the role Join us in advancing the MLIR ecosystem at Mythic. You'll help extend our existing high-level dialects and design a new hardware-aware low-level dialect, building conversion paths that bridge to our current IRs. Working closely with hardware engineers and ML developers, your work will expand interoperability with PyTorch and other frameworks, laying the groundwork for long-term innovation. The result: an MLIR-based stack that unifies hardware constraints with developer needs and accelerates adoption of modern ecosystems.Here's what you will do Architect the migration of the existing compiler flow into MLIR, defining dialects, passes, and lowering strategies. Build conversion paths between MLIR and Mythic's custom low-level IR to keep both flows operational during migration. Define validation infrastructure within MLIR, including interpretation or execution paths for simulation and debugging. Enable compilation by extending MLIR integration across analog accelerators and digital subsystems. Leverage Torch-MLIR where PyTorch inputs are available, and guide future integration with PyTorch 2.0 compiler technologies (TorchInductor, TorchDynamo, Torch-MLIR) Here's the background we hope you will have 3+ years of experience in compiler or high-performance systems development. Proficiency in modern C++ (C++14/17/20) and Python. Direct, hands-on experience with MLIR, including dialect design, compiler passes, or lowering pipelines. Strong understanding of compiler IRs and transformations, with the ability to reason about lowering from high-level ops to hardware-aware representations. The following would be nice to have, but is not required Experience architecting complete MLIR flows: from frontend dialects down to hardware-aware dialects, including conversion to and from existing IRs. Familiarity with PyTorch compiler technologies, especially Torch-MLIR and integration paths with PyTorch 2.0 (TorchDynamo, TorchInductor). Knowledge of dataflow architectures, scheduling, and memory orchestration. Background in heterogeneous or specialized accelerators (e.g., analog compute, NPUs, GPUs, DSPs). What we offer Shape the MLIR and PyTorch integration strategy for novel AI hardware. Opportunity to contribute upstream and influence the broader ML compiler ecosystem. Collaborate with a team spanning hardware, runtime, and compiler design. Competitive compensation, equity, and comprehensive benefits. At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.

Prelude Security is building the category leader in Runtime Memory Protection - an endpoint product that detects and blocks in-memory execution, memory zero-day exploitation, and ransomware execution entirely from user mode. We are a small team of security researchers and software developers working to reinvent the way we protect endpoints in a world where threats are complex, emergent, and accelerating. Backed by Sequoia Capital, Insight Partners, and other leading investors, we are building an advanced security solution to detect in-memory attacks on endpoints, which is written in Rust and runs exclusively in user mode. It leverages advances in modern edge computing architecture, hardware-level telemetry, and a graph-based understanding of the Windows operating system to catch adversaries the moment that they compromise an endpoint. Rather than endlessly attempting to predict what an adversary might do, trapping adversaries at this universal and unavoidable chokepoint that lies at the center of their operations allows us to focus all of our efforts on what they must do, regardless of their sophistication or how much creativity (or AI) they apply to their tactics. Our goal is simple: to detect out-of-context execution in a way that remains entirely outside the adversary's control. Out-of-context execution occurs when an attacker coerces an application to run code paths that were not intended by the original application. This includes in-memory execution techniques such as local and remote injection, exploitation that results in the execution of dynamic code, and fileless malware. Role As an Infrastructure Engineer at Prelude, you will build the foundation upon which our endpoint protection platform is built, deployed, and scaled. You will be responsible for designing, building, and maintaining the cloud architecture and CI/CD frameworks that empower our engineering and research teams to ship performant, stable, and resilient software with high velocity. Combining principles from Site Reliability Engineering (SRE) and DevOps, you will own the entire lifecycle of our services from architectural design and infrastructure provisioning to deployment, monitoring, and incident response. This role is critical to ensuring our platform is reliable, scalable, and secure for our customers. Given the confidential nature of our work, we require an NDA to be signed after an introductory call if there is mutual interest in moving forward. Responsibilities Design, build, and maintain the core infrastructure that powers Prelude's endpoint protection platform. Develop and manage our CI/CD pipelines to automate the building, testing, and deployment of our software. Scale our systems sustainably through automation, leveraging Infrastructure as Code (IaC) principles. Implement and manage robust monitoring, logging, and alerting systems to ensure service health, availability, and performance. Collaborate closely with software engineers and security researchers to improve the reliability, deployability, and operational aspects of their code. Practice sustainable incident response and conduct blameless postmortems to drive continuous improvement. Serve as a subject matter expert on cloud architecture, system scalability, and operational excellence. Skills and Experience Demonstrable experience building and managing infrastructure in a major cloud environment (e.g., AWS, GCP, Azure). Strong proficiency with Infrastructure as Code (IaC) tools like CloudFormation, Ansible, or Terraform. Experience with containerization and orchestration technologies Solid understanding of CI/CD principles and experience with tools such as GitHub Actions. Proficiency in one or more programming or scripting languages, such as Python or Rust. Experience implementing and using modern observability tools for monitoring, logging, and tracing (e.g., Prometheus, Grafana, Datadog, ELK stack). Strong understanding of networking and security best practices in cloud environments. Nice to Haves Experience working in a fast-paced, adaptive startup environment. Prior experience building and managing infrastructure for a security-focused product or in a high-compliance environment. Experience with distributed systems. Systems programming experience, ideally using Rust. Working at Prelude Prelude is a fully remote team across the US & Canada, built on trust, autonomy, and excellence. We empower our team to take ownership, move with purpose, and continuously improve. Our culture values top performers who align with our mission and embrace high standards. We offer generous healthcare, flexible PTO, and home-office support, ensuring our team has the freedom and resources to thrive. While we move fast, we prioritize quality, collaboration, and remain committed to building impactful security solutions with precision.

About Us: Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers' most difficult problems. We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications. The Role: We're seeking an experienced infrastructure engineer to help architect and build our AWS cloud foundation. This is a technical leadership role where you'll design infrastructure-as-code solutions, create self-service platforms for development teams, and establish the architectural patterns that enable us to scale. You'll work independently with limited supervision, making technical decisions about cloud architecture, security baselines, and infrastructure patterns. Responsibilities: Infrastructure Architecture Design and implement AWS cloud architecture from the ground up, including multi-account strategy, networking patterns, security baselines, and environment configurations Build infrastructure-as-code foundations using Terraform, creating reusable modules that encode organizational standards Establish "golden paths" for common infrastructure patterns-making the right way the easy way Platform Development Create self-service infrastructure tooling (CLIs, APIs, or interfaces) that hide AWS complexity from internal users while maintaining security guardrails Build abstraction layers that provide infrastructure provisioning without sacrificing governance Develop documentation and enablement materials that teach teams to leverage infrastructure independently Technical Leadership Serve as a technical authority on cloud infrastructure and architecture decisions Establish observability foundations (logging, metrics, tracing) for platform health visibility Automate operational tasks Communicate complex technical decisions to engineering and business stakeholder Required Qualifications: 5-8+ years in infrastructure, cloud engineering, or platform roles Deep AWS expertise with production environment design (VPC, EC2, RDS, S3, IAM, CloudFormation/CDK) Terraform mastery including module design, state management, and multi-environment strategies Platform thinking: Experience building self-service infrastructure or internal tooling that enables teams Automation philosophy: Strong scripting/coding in Python, Go, Bash, or similar Systems thinking: You make decisions based on multiple constraints-infrastructure, security, compliance, and developer experience must balance Independent executor: You work autonomously, making sound technical judgments and seeking input when needed Product mindset: You treat infrastructure as a product with internal customers, caring about developer experience and platform usability Preferred Qualifications: Building Internal Developer Platforms (IDPs) or self-service infrastructure Regulated industries (chemical, manufacturing, healthcare, financial) with compliance requirements Serverless Architecture and Lambda experience Track record mentoring engineers and establishing infrastructure practices Hybrid cloud or multi-cloud experience (AWS primary, Azure/GCP helpful)

Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen? Check out these resources in addition to the job description. -> Meet Egen -> Life at Egen-> Culture and Values at Egen-> Career Development at EgenAbout the job: Implement cloud-based IaC solutions Develop and implement automation to support continuous delivery and continuous integration solutions Use GCP services to deploy highly available, scalable, and secure applications Implement workflows to automate the release and upgrade process for applications in Development, Test, and Production environments. Implement secure integrations using GCP security and networking technologies Administration and engineering of IAM user Role-Based Access Controls and processes Create and update support documentation and standards. Develop automated methodologies for deployment activities, configuration management, supporting systems, and business processes. Investigate and contribute to solving various issues in production environments. About you: 3+ years of professional experience managing infrastructure on AWS, GCP, or Azure including networking and access security Experienced in Infrastructure as Code (IaC) frameworks like Terraform, or AWS CloudFormation Experienced in CI/CD Pipeline automation and integration using Jenkins, AWS Code{Pipeline, Build, Deploy}, Azure DevOps, or other relevant tooling Strong experience with shell scripts, editors, SSH, awk/sed, git, and other Linux toolkits Experienced in deploying containers and container orchestration using Docker, Kubernetes, and its components Experience with Kubernetes components like Ingress Controllers, Cert Managers, Custom Resource Definitions, and RBAC access security Implement secure integrations using security and networking technologies (IAP, VPC, and PSC) Administration and engineering of IAM user Role-Based Access Controls and processes Experienced in monitoring, alerting, and observability stack using Elastic Stack, Splunk, Prometheus, Grafana, CloudWatch Is self-directed, can work independently and make decisions autonomously at a high level Nice to have (but not required): Experience withloud SDKs like AWS SDK, Kubernetes clients library, Helm Experience with Mysql, PostgreSQL, Bitbucket, GitHub Knowledge of IAM and JWT authorization, SSO/OAuth (Azure AD, Okta) Knowledgeable of 12-factor app methodology and how they should be applied EEO and Accommodations: Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.