Application engineer jobs in Fremont, CA

Role: Kotlin Developer / Kotlin Engineer Duration: Long Term Immediate Interviews - Need Strong Tech + Strong Communication! We are looking for a high-impact Java/Kotlin engineer who can hit the ground running and deliver in a fast-paced environment. The client is moving QUICK, and we need someone with deep technical expertise + very clear, concise communication. Tech Skills Needed: ✔ Java (8+) / Spring Boot ✔ Kotlin ✔ AWS (Lambda, EC2, ECS, S3, RDS) ✔ Microservices, REST APIs ✔ Docker, Kubernetes, CI/CD ✔ System Design, Problem Solving ✔ Excellent communication

🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer 📍 San Francisco (Hybrid / In-Office) 💰 $300,000-500,000 base plus Bonus & Equity We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes. You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role. You'll be trusted to: Build and ship core product features end-to-end Influence technical direction and system design Work closely with founders, product, and design Help define engineering standards as the company scales Tech Stack React + TypeScript (frontend) Python or Node.js (backend) Modern cloud-native tooling What We're Looking For Experience at startup or VC-backed companies (Seed-Series B ideal) Strong fundamentals in React, TypeScript, Python and/or Node Comfort owning problems, not just tickets Product-minded engineers who care about why , not just how Why This Role Early-stage impact: your work directly shapes the product High ownership, high trust environment Strong funding, clear roadmap, ambitious founders Surrounded by sharp, driven people who move fast

80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates. Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers. This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities. In this role, you will: Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows. Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems. Lead architectural design discussions and set long-term technical direction for the backend stack. Implement best practices for system reliability, observability, security, and scalability. Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes). Mentor fellow engineers and help shape our backend engineering culture. Optimize system performance and streamline complex data flows across distributed services. Influence and define standards for how we build, test, and deploy software across the company. Who You Are 7+ years of backend engineering experience, ideally in fast-moving production environments. Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks. Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design. Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability. Excellent communicator who enjoys collaborating across disciplines. Motivated by solving complex real-world problems in healthcare and improving patient outcomes. Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments. Why This Role Stands Out You'll own high-impact systems that directly affect patient and provider experiences. You'll shape backend architecture and engineering best practices in a growing company. You'll join a profitable, non-VC-backed organization focused on long-term sustainability. You'll work in-person with an ambitious, mission-driven team in downtown San Francisco. Competitive compensation, equity opportunities, and strong benefits designed to help you thrive. This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you! Base salary: $250k-300k DOE + generous equity and benefits

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

Frontend Engineer Duration: 6+ months (possible extension) Type: W2 Contract (Open to Consider USC, GC, EAD) - No Third Party or C2C Experience: 6+ Years in an Enterprise Environment with BS or MS in Computer Science. Must Have: JavaScript, React.JS, Typescript, NodeJS and REST API Job Summary: Seeking a Frontend Engineer with strong experience in JavaScript, HTML, CSS, and hands-on expertise in React and Node.js. The role involves building scalable, high-quality UI components and collaborating in an Agile development environment. Responsibilities: Develop and maintain frontend modules using JavaScript, HTML, CSS, React, and Node.js. Implement unit testing (JUnit) and ensure code quality. Utilize jQuery and core data structures where applicable. Work closely with cross-functional teams in an Agile/Scrum setup. Participate in solution design, code reviews, and feature development. Required Skills: Bachelor's degree in Computer Science or related field with Strong proficiency in JavaScript, HTML, CSS. Must-have: React.js and Node.js. Experience with unit testing tools (JUnit). Good understanding of data structures and jQuery.

Do you want to play a defining role in a well backed AI company building the next generation of intelligent agents? Compensation: $220k - $240k Employment Type: Full time Model: Hybrid (days on site, 3 days remote) This company is building AI agents that automate complex, manual workflows across one of the largest and most operationally complex industries in the world. What started with voice, the hardest and highest impact interface, is rapidly expanding into full end-to-end workflow automation across sales, servicing, and claims. The long term vision is to create reasoning agents capable of operating autonomously across entire enterprise systems. With over $70M raised, including a recent large Series B led by top tier venture firms, the company is entering a phase of rapid scale. Engineering is the core of the business, and technical decisions made today will define how intelligent systems operate in real production environments for years to come. The Opportunity: As a Staff Software Engineer, you will be a senior technical leader responsible for shaping foundational systems that power AI-driven products at scale. This role goes far beyond feature delivery. You will own architectural direction, influence platform strategy, and build systems that enable reliable, observable, high-performance AI agents in a regulated, mission-critical environment. You will work with an elite group of engineers, researchers, and product leaders who value strong technical judgment, clear communication, and high ownership. This is a role for someone who thrives in ambiguity, enjoys solving hard infrastructure problems, and wants to see their work have immediate, real world impact. What You Will Do: Define and drive the technical vision for core platforms and domains, including architecture, infrastructure, tooling, and performance Design, build, and operate scalable backend systems that leverage foundational LLMs and asynchronous workflows Lead architectural decisions and trade-offs, balancing speed of iteration with long-term reliability and maintainability Partner closely with product, data science, and infrastructure teams to translate business strategy into durable technical roadmaps Serve as a technical mentor through design reviews, code reviews, and hands-on guidance, raising the bar for engineering excellence Own operational excellence across the stack, including debugging complex issues, participating in on-call, and leading post-mortems Define, measure, and improve reliability metrics such as SLAs, SLOs, and SLIs Identify technical debt and drive initiatives that improve system quality, performance, and developer velocity Introduce new technologies and processes that materially improve how teams build and ship software Represent the engineering organization externally when appropriate through technical talks, open source, or partner engagement What We're Looking For: 8+ years of experience building and operating high-quality production software, with strong depth in Python Demonstrated experience architecting asynchronous, distributed, high-throughput systems in production Strong expertise with Python frameworks such as FastAPI, Django, and asyncio or equivalent Proficiency with Node.js, React, TypeScript, and Express, with sound judgment on when to use each stack Deep knowledge of SQL and experience with distributed messaging and streaming systems such as Kafka, SQS, SNS, or RabbitMQ Solid cloud experience with AWS, GCP, or Azure, including infrastructure as code, CI/CD, and observability Ability to navigate ambiguity, make principled trade-offs, and lead without formal authority Experience working in remote, asynchronous, distributed teams with strong written and verbal communication skills Curiosity and enthusiasm for emerging technologies and their real-world applications Nice to Haves: Hands-on experience working with large language models and techniques to improve reliability, latency, and cost efficiency Experience in regulated or compliance-heavy industries such as insurance, finance, or healthcare Background in high-growth startup environments where systems and teams scaled rapidly Proven track record of mentoring senior and mid-level engineers Public technical contributions through open source, talks, or publications Why This Role: Strong funding, long runway, and clear momentum toward category leadership Ownership over foundational systems that define how autonomous AI agents operate in production High autonomy and trust with direct influence on long-term technical direction A collaborative, high caliber engineering culture that values rigor, learning, and impact The opportunity to help define a new category of applied AI systems used by real customers at scale If you are excited by the chance to shape the core architecture of an AI platform operating in the real world, this role offers both the scope and the ownership to make a lasting impact.

ATTN - PLEASE READ CAREFULLY: WE CAN NOT SPONSOR NEW VISAS OR TRANSFER EXISTING VISAS. AT THIS TIME WE'RE ONLY CONSIDERING US CITIZENS OR GC HOLDERS. WE'RE LOOKING FOR SOMEONE WHO HAS SIGNIFICANT APPLICATION SECURITY EXPERIENCE-SOMEONE WHO HAS DESIGNED SECURE ARCHITECTURES, IMPLEMENTED CONTROLS ACROSS THE SDLC, AND PROACTIVELY IDENTIFIED AND MITIGATED VULNERABILITIES IN LARGE-SCALE DISTRIBUTED SYSTEMS. THE SUCCESSFUL CANDIDATE SHOULD ALSO HAVE A STRONG TRACK RECORD OF PARTNERING WITH ENGINEERING TEAMS TO IMPROVE OVERALL SECURITY POSTURE THROUGH ARCHITECTURAL GUIDANCE, SECURE CODING BEST PRACTICES, AND CONTINUOUS SECURITY EDUCATION. Picture a company redefining how life sciences harness data - one that turns the noise of fragmented scientific systems into the clarity that accelerates discovery, development, and ultimately, human progress. This Scientific Data Cloud pioneer has built a cloud-native ecosystem engineered specifically for the life sciences, connecting laboratory instruments, informatics systems, and analytics applications into a single, intelligent network. The result: harmonized, actionable scientific data that transforms R&D velocity and precision across discovery, development, and manufacturing. Trusted by the world's leading biopharma innovators, their open platform serves as the digital nervous system for scientific operations - empowering researchers and partners to unlock insights at unprecedented scale. Think of it as the Palantir of Life Sciences - designed not just to visualize complexity, but to ingest and process petabytes of scientific data through advanced taxonomies and ontologies that bring structure, context, and meaning to an otherwise chaotic scientific landscape. Through deep collaborations with global leaders in cloud computing and AI, this company is building the foundation for a new era of Scientific Intelligence - one where every experiment, every dataset, and every discovery is connected, contextualized, and exponentially more powerful than before. Senior & Lead Application Security Engineers We're looking for a hands-on Product Security Technical Lead to drive the design, implementation, and evolution of our security engineering program. You'll lead a team of Security Engineers focused on hardening our SaaS and data platforms by breaking things before attackers do - identifying vulnerabilities, building secure infrastructure, and integrating protection across our CI/CD pipelines. This role demands deep technical expertise across AWS, Python, and application & cloud security, along with a hacker's curiosity and a builder's discipline. Why This Role: • You'll have complete ownership of product and cloud security from architecture to execution. • You'll lead by doing - hacking, breaking, and building resilient systems. • Be part of a company where security isn't an afterthought - it's a product feature. Job Responsibilities • Own and evolve the organization's entire application security posture, with a focus on application and cloud security across all product lines. • Perform offensive and defensive security assessments - threat modeling, code review, penetration testing, and vulnerability exploitation. • Build and integrate automated security tooling (SAST, DAST, dependency scanning, IaC scanning) into CI/CD pipelines. • Develop security automation and internal tooling using Python, Bash, or Go. • Partner with Engineering, DevOps, and Infrastructure teams to ensure secure AWS architectures (VPC, IAM, KMS, GuardDuty, CloudTrail, WAF). • Oversee incident response and root cause analysis for product and infrastructure-level security events. • Define and enforce secure coding standards, and lead threat modeling sessions for critical features and services. • Continuously hunt for vulnerabilities, test assumptions, and “break things safely” to strengthen the platform. Preferred Qualifications: • Certifications such as AWS Certified Security - Specialty, OSCP, or CISSP. • Experience in SaaS, Big Data, or high-scale distributed environments. • Knowledge of MITRE ATT&CK, OWASP Top 10, and secure software design principles. Required Skills & Experience: • 8+ years of hands-on experience in Application, Cloud, or Product Security roles, with lead or staff-level responsibilities. • Deep expertise in AWS security architecture and service hardening. • Advanced programming and scripting ability in Python (Bash or Go a plus). • Proven experience with offensive security: hacking, exploit analysis, or red team operations. • Strong foundation in vulnerability management, threat modeling, and incident response. • Proficient with DevSecOps tools and modern CI/CD environments. • Familiarity with container and orchestration security (Docker, Kubernetes, EKS). Required Education • Bachelor's degree in computer science or another equivalent degree.

Senior ML Infra Engineer - San Francisco or Redwood City, CA A company who are building AI systems with general physical ability are looking for a Senior ML Infra Engineer to join their team to build and maintain infrastructure for training, RL workflows, data pipelines, and model deployment. What Will I Be Doing: Build and maintain scalable infrastructure for distributed model training, fine-tuning, RLHF/DPO workflows, and large-scale experiments. Develop data pipelines, dataset versioning systems, and experiment tracking tools to ensure reproducibility and traceability. Operate containerized training and inference environments, CI/CD pipelines for models, and automated evaluation workflows. Collaborate with LLM researchers, RL scientists, data engineers, and systems teams to support rapid experimentation and reliable model deployment. Who We're Looking For: Deep experience in ML infrastructure, distributed training, experiment management, or production ML systems. Familiarity with containerization, orchestration, model runners, dataset governance, and evaluation pipelines. Proven ability to design robust training and deployment workflows that support high-throughput experimentation. Comfortable working across ML, infrastructure, data, and engineering teams in a fast-paced, high-precision environment. What's In It For Me: Salary of $200k-$300k dependent on experience plus equity Ownership of critical ML infrastructure powering real-world AI experimentation Work at the forefront of AI, robotics, and scientific discovery Apply now for immediate consideration!

Specialized Coating Services "SpecCoat" is a rapidly growing company in the Tide Rock Holdings portfolio. SpecCoat is an established leader in advanced coating solutions. Our cutting-edge technologies and commitment to quality have made us a trusted partner for businesses worldwide. Our expansive expertise caters to a broad spectrum of industries including aerospace & defense, medical device, and consumer electronics. Position Summary The Senior Conformal Coating Engineer leads the development, implementation, and optimization of conformal coating processes for electronic assemblies. This role ensures high-quality standards, compliance with IPC and MIL-STD specifications, and supports cross-functional teams in production, quality, and engineering. Key Responsibilities Lead process development and improvement initiatives for conformal coating (manual, automated, parylene, and selective coating). Define and validate coating parameters, masking techniques, and curing processes. Collaborate with design and manufacturing teams to ensure coating compatibility and performance. Troubleshoot coating-related issues and drive root cause corrective actions (RCCA). Develop and maintain process documentation, including work instructions, SOPs, and validation protocols. Ensure compliance with IPC-A-610, IPC-CC-830, J-STD-001, and customer-specific standards. Support equipment selection, installation, and maintenance (e.g., PVA, Asymtek, SCS systems). Train and mentor junior engineers and technicians in coating processes Participate in audits and customer reviews as the technical subject matter expert. Monitor process metrics and drive continuous improvement Qualifications Bachelor's degree in Chemical Engineering, Materials Science, Mechanical Engineering, or related field. 5+ years of experience in conformal coating engineering, preferably in aerospace, defense, or electronics manufacturing. Strong knowledge of coating materials (acrylic, silicone, urethane, parylene) and application methods. Experience with automated coating systems and masking strategies. Familiarity with IPC and MIL-STD standards for coating and inspection. Proficiency in CAD tools, MES systems, and statistical process control (SPC). Excellent problem-solving, communication, and project management skills. Preferred Skills Experience with conveyorized coating and vacuum deposition systems. Knowledge of environmental and safety regulations related to coating materials. Hands-on experience with coating inspection tools (UV light, thickness gauges). Certification in IPC-A-610 or IPC-J-STD-001 is a plus.

We're a fast-moving Series A startup on a mission and we're looking for a Compiler Engineer who can turn cutting-edge ideas into blazing-fast reality. If you live and breathe compilers, know your way around low-level codegen, and love squeezing every last drop of performance from hardware, this is your moment. What You'll Bring 4+ years crafting compilers, with deep mastery of algorithms and data structures Hands-on expertise in low-level code generation, object file manipulation, and target-specific optimizations Serious C/C++ chops Clear communicator, strong doc writer, detail-driven, and always team-first Bonus Points MS/PhD in CS/CE/EE Familiarity with instruction selection, register allocation, dominance, def-use, calling conventions, linking & relocations LLVM experience Loop optimization wizardry (vectorization, unrolling, fusion, parallelization) Why Us? You won't be a cog. You'll be a cornerstone. Own major pieces of the toolchain, shape architecture decisions, and ship tech that pushes the boundaries of what's possible. If you want to build boldly, optimize ruthlessly, and leave your fingerprints on the future, we want to meet you.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Job Title: Lead Data Engineer - Databricks & Azure (SQL Migration) Location: Hybrid @ Palo Alto Compensation: $140,000 - $175,000 per year Role Overview: We are seeking a skilled Lead Data Engineer to support the migration of on-premise SQL Server databases to the Azure Databricks Lakehouse Platform. This role involves designing and implementing parameter-driven ETL frameworks, migrating SQL stored procedures, views, and business logic to Databricks Unity Catalog stored procedures, and supporting data governance strategies. The ideal candidate will have proven experience with Databricks, Unity Catalog, Delta Lake, and ADF, and will work closely with the team to deliver scalable, efficient, and secure data migration solutions. Key Responsibilities: Design and implement data migration pipelines from on-prem SQL Server to Azure Databricks Lakehouse. Build parameter-driven/config-based ETL mappings for reusable and dynamic pipelines. Migrate SQL stored procedures, views, and business logic from SQL Server to Databricks Unity Catalog stored procedures within the Databricks Lakehouse using Databricks SQL or PySpark. Configure and manage Databricks Unity Catalog for governance, lineage, access control, and security. Develop and optimize Delta Lake tables following the Medallion architecture (Bronze, Silver, Gold). Orchestrate ETL workflows via Azure Data Factory (ADF) and Databricks Workflows. Implement data access controls, account-level permissions, and object ownership via Unity Catalog. Collaborate with architects, developers, and business stakeholders to ensure data quality, lineage, and governance. Troubleshoot and optimize ETL pipelines for performance, scalability, and cost efficiency. Support CI/CD integration using Databricks Repos, Git, and Azure DevOps. Required Skills: 10+ years of experience in data engineering, including cloud migration projects. Hands-on expertise in Azure Databricks, ADF, ADLS Gen2, and Databricks Unity Catalog. Lakebridge Very good knowledge of SQL DB Stored procs, SSIS, SSRS Proven experience in migrating SQL stored procedures, views, and business logic to Databricks Unity Catalog stored procedures. Strong skills in Databricks SQL, PySpark, and Python for data transformation. Experience designing parameter-driven/config-based ETL frameworks. Deep understanding of Delta Lake, Medallion architecture, and data modeling. Knowledge of data governance, lineage tracking, and security policies. Experience with CI/CD automation, Git, and Azure DevOps. Visa Status: We are currently unable to sponsor visas. Only candidates who are visa-independent will be considered. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 - $145,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits As a fulltime employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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.

Project Description Sr. Java Engineer for the Application Platform team developing core enterprise microservices using Java and Spring Boot. Databases like Oracle, Cassandra and messaging systems like Kafka are used for developing these microservices. Duties/Day to Day Overview Analyzes, designs, programs, debugs, and modifies software enhancements and/or new products used in local, networked or Internet-related computer programs. Using current programming language and technologies, writes code, completes programming, and performs testing and debugging of applications. Completes documentation and procedures for installation and maintenance. Specific Responsibilities • Gathers and verifies technical requirements • Authors and audits technical design for features • Competent in programming and debugging across multiple modules and dealing with related external dependencies • Writes high quality code with full test coverage • Reviews code to ensure it is functionally correct and is of high quality • Provides story or business requirements breakdown planning and estimation, reviews and evaluates the team's estimates • Accountable for complex stories or business requirements • Identifies feature and module dependencies • Proposes mitigation plans for identified risks and problems • Suggests process improvements and best practices • Identifies new areas that could be measured • Able to identify, evaluate and discuss alternative technologies and techniques • Justifies decisions and achieves peer consent • Interacts with team members, other IT teams, business users, individual contributors, managers • Sphere of influence is small group of peers • Actively shares knowledge within domain • Able to share knowledge outside domain • Mentors co-workers within area of expertise, improves other's productivity • Provides guidance for the work performed by contractors • Assesses the quality of work and effectiveness of contract resources • Participates in development of contractor agreements, including deliverables and SLAs Top Requirements (Must haves) 8+ years of professional software engineering experience, with 5+ years focused on Java/Spring Boot backend services. Strong core Java coding skills & ability to articulate coding problem-solving approach Expert in multithreading, memory management, collections, Microservices design, production-level troubleshooting & database fundamentals. Deep experience designing microservices (service boundaries, API design, idempotency, retries, circuit breaking). Hands-on with Oracle (SQL tuning, indexing, stored procedures) and Cassandra (data modeling, consistency levels) are strongly preferred, candidates with no SQL experience with other databases will still be considered Production experience with Kafka (consumer groups, partitioning, offset management, schema evolution) is strongly preferred, candidates with similar system experience will still be considered Strong grasp of testing: unit/integration/contract tests; test data management. Solid knowledge of RESTful APIs, pagination, error handling, and versioning. Experience with CI/CD (e.g., Jenkins/GitHub Actions) and Git workflows. Proficiency in observability (e.g., logs/metrics/traces) and performance optimization for JVM-based services. Ability to lead technical initiatives, review designs, and drive outcomes in a fast-paced environment.

Senior Full Stack Engineer (AI) - Onsite NYC or San Francisco I'm working with a fast-scaling enterprise AI company that's just made a major acquisition and is building the next generation of AI-driven contract intelligence software. This is an opportunity to join a small, elite engineering team at a pivotal moment and work directly with founding-level leaders on genuinely best-in-class AI agent technology used by some of the largest enterprises in the world. Why this role stands out Early engineer in a newly integrated, high-impact team Real ownership and influence over product and technical direction Building AI agents that sit at the core of enterprise systems Solving complex problems in a fast-moving, startup-style environment What they're looking for 5-10 years full stack experience (Python, JavaScript, React) Hands-on experience building AI products (4+ years ideal) Strong backend foundations: SQL, Postgres, databases, CI/CD Experience with agent frameworks (LangGraph, CrewAI, AutoGen) Comfortable using AI coding tools daily (Cursor, Codex) Startup background (Series A-B preferred) Logistics Onsite 5 days/week New York or San Francisco If you're excited by high-ownership engineering roles at the intersection of AI, enterprise software, and scale, please apply!

Hi, Hope you are doing good! We have a Contract-W2 opportunity for you as Senior Cloud Engineer @ San Francisco, CA (Hybrid - 3 days a week) Role: Senior Cloud Engineer Type of Hiring: Contract-W2 Job Description: Cloud Engineer Core Competencies: Core AWS Cloud Engineer with experience in DevOps skills, Agile skills, ability to operate platforms at scale, has done automation, with a focus on maturing the cloud platform. AWS IAM identity-based and resource-based policies AWS Networking (route tables, transit gateways, security group rules, VPC, subnets, R53 etc.) AWS CloudWatch and CloudTrail x troubleshooting issues AWS glue AWS Redshift RDS MSSQL Splunk Experience with CI/CD pipelines for infrastructure deployments. Experience with Harness would be a plus, but experience with other CI/CD tools (ArgoCD, CircleCI, Git Hub Actions, Jenkins, etc.) is acceptable. Terraform Experience with Centralized secrets store (AWS Secrets Manager). Git management best practices EKS and k8s cluster management SSO via Okta and role-based access control Experience with Agile project management (scrum and kanban) concepts: sprints, sprint planning, backlog grooming, story points, ticket life cycle and management.

Senior Software Engineer (Backend / Platform) UMATR are partnered with an early-stage technology company building an AI-driven internal platform designed to help fast-growing organisations maintain clarity, alignment, and operational efficiency as they scale. Their product acts as an intelligent internal system that understands company context, objectives, and workflows, supporting both individual contributors and leadership with real-time insight. They work closely with experienced operators and technologists from leading software organisations and are focused on solving complex problems at the intersection of data, systems, and applied AI. Their mission is to help teams scale without losing coherence, speed, or shared understanding. What You'll Do Design, build, and maintain scalable backend and platform systems Develop and operate AI-driven services that work with large and evolving datasets Take ownership of core systems in a fast-moving, early-stage environment Collaborate closely with a small team while operating autonomously Adapt quickly as product direction and technical challenges evolve What We're Looking For 3+ years of experience in backend or platform engineering Strong ability to work independently and move quickly in ambiguous environments Experience with Python, cloud infrastructure, relational databases, and API design Comfort owning systems end-to-end in production Bonus: experience with modern AI/ML systems, language-model integrations, retrieval-based systems, or agent-style architectures What We Offer Competitive salary and meaningful equity Comprehensive health benefits Meal support during in-office work Wellness and fitness reimbursement Transportation or commuting stipend Flexible paid time off A small, high-impact team with significant ownership and autonomy

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

🚀 Hiring: Software Engineer / Founding Engineer / Product Engineer 📍 San Francisco (Hybrid / In-Office) 💰 $300,000-500,000 base plus Bonus & Equity We're working with a VC-backed startup building a product at the intersection of engineering, product, and real-world impact. This is a rare opportunity to join early, influence architecture, and help shape what the company becomes. You'll work across front-end, back-end, or full-stack, depending on your strengths and interests. Titles are flexible, as this could be a Founding Engineer, Product Engineer, or Senior Software Engineer role. You'll be trusted to: Build and ship core product features end-to-end Influence technical direction and system design Work closely with founders, product, and design Help define engineering standards as the company scales Tech Stack React + TypeScript (frontend) Python or Node.js (backend) Modern cloud-native tooling What We're Looking For Experience at startup or VC-backed companies (Seed-Series B ideal) Strong fundamentals in React, TypeScript, Python and/or Node Comfort owning problems, not just tickets Product-minded engineers who care about why , not just how Why This Role Early-stage impact: your work directly shapes the product High ownership, high trust environment Strong funding, clear roadmap, ambitious founders Surrounded by sharp, driven people who move fast

ATTN - PLEASE READ CAREFULLY: WE CAN NOT SPONSOR NEW VISAS OR TRANSFER EXISTING VISAS. AT THIS TIME WE'RE ONLY CONSIDERING US CITIZENS OR GC HOLDERS. WE'RE LOOKING FOR SOMEONE WHO HAS SIGNIFICANT APPLICATION SECURITY EXPERIENCE-SOMEONE WHO HAS DESIGNED SECURE ARCHITECTURES, IMPLEMENTED CONTROLS ACROSS THE SDLC, AND PROACTIVELY IDENTIFIED AND MITIGATED VULNERABILITIES IN LARGE-SCALE DISTRIBUTED SYSTEMS. THE SUCCESSFUL CANDIDATE SHOULD ALSO HAVE A STRONG TRACK RECORD OF PARTNERING WITH ENGINEERING TEAMS TO IMPROVE OVERALL SECURITY POSTURE THROUGH ARCHITECTURAL GUIDANCE, SECURE CODING BEST PRACTICES, AND CONTINUOUS SECURITY EDUCATION. Picture a company redefining how life sciences harness data - one that turns the noise of fragmented scientific systems into the clarity that accelerates discovery, development, and ultimately, human progress. This Scientific Data Cloud pioneer has built a cloud-native ecosystem engineered specifically for the life sciences, connecting laboratory instruments, informatics systems, and analytics applications into a single, intelligent network. The result: harmonized, actionable scientific data that transforms R&D velocity and precision across discovery, development, and manufacturing. Trusted by the world's leading biopharma innovators, their open platform serves as the digital nervous system for scientific operations - empowering researchers and partners to unlock insights at unprecedented scale. Think of it as the Palantir of Life Sciences - designed not just to visualize complexity, but to ingest and process petabytes of scientific data through advanced taxonomies and ontologies that bring structure, context, and meaning to an otherwise chaotic scientific landscape. Through deep collaborations with global leaders in cloud computing and AI, this company is building the foundation for a new era of Scientific Intelligence - one where every experiment, every dataset, and every discovery is connected, contextualized, and exponentially more powerful than before. Senior & Lead Application Security Engineers We're looking for a hands-on Product Security Technical Lead to drive the design, implementation, and evolution of our security engineering program. You'll lead a team of Security Engineers focused on hardening our SaaS and data platforms by breaking things before attackers do - identifying vulnerabilities, building secure infrastructure, and integrating protection across our CI/CD pipelines. This role demands deep technical expertise across AWS, Python, and application & cloud security, along with a hacker's curiosity and a builder's discipline. Why This Role: • You'll have complete ownership of product and cloud security from architecture to execution. • You'll lead by doing - hacking, breaking, and building resilient systems. • Be part of a company where security isn't an afterthought - it's a product feature. Job Responsibilities • Own and evolve the organization's entire application security posture, with a focus on application and cloud security across all product lines. • Perform offensive and defensive security assessments - threat modeling, code review, penetration testing, and vulnerability exploitation. • Build and integrate automated security tooling (SAST, DAST, dependency scanning, IaC scanning) into CI/CD pipelines. • Develop security automation and internal tooling using Python, Bash, or Go. • Partner with Engineering, DevOps, and Infrastructure teams to ensure secure AWS architectures (VPC, IAM, KMS, GuardDuty, CloudTrail, WAF). • Oversee incident response and root cause analysis for product and infrastructure-level security events. • Define and enforce secure coding standards, and lead threat modeling sessions for critical features and services. • Continuously hunt for vulnerabilities, test assumptions, and “break things safely” to strengthen the platform. Preferred Qualifications: • Certifications such as AWS Certified Security - Specialty, OSCP, or CISSP. • Experience in SaaS, Big Data, or high-scale distributed environments. • Knowledge of MITRE ATT&CK, OWASP Top 10, and secure software design principles. Required Skills & Experience: • 8+ years of hands-on experience in Application, Cloud, or Product Security roles, with lead or staff-level responsibilities. • Deep expertise in AWS security architecture and service hardening. • Advanced programming and scripting ability in Python (Bash or Go a plus). • Proven experience with offensive security: hacking, exploit analysis, or red team operations. • Strong foundation in vulnerability management, threat modeling, and incident response. • Proficient with DevSecOps tools and modern CI/CD environments. • Familiarity with container and orchestration security (Docker, Kubernetes, EKS). Required Education • Bachelor's degree in computer science or another equivalent degree.

ATTN - PLEASE READ CAREFULLY: WE CAN NOT SPONSOR NEW VISAS OR TRANSFER EXISTING VISAS. AT THIS TIME WE'RE ONLY CONSIDERING US CITIZENS OR GC HOLDERS. WE'RE LOOKING FOR SOMEONE WHO HAS SIGNIFICANT APPLICATION SECURITY EXPERIENCE-SOMEONE WHO HAS DESIGNED SECURE ARCHITECTURES, IMPLEMENTED CONTROLS ACROSS THE SDLC, AND PROACTIVELY IDENTIFIED AND MITIGATED VULNERABILITIES IN LARGE-SCALE DISTRIBUTED SYSTEMS. THE SUCCESSFUL CANDIDATE SHOULD ALSO HAVE A STRONG TRACK RECORD OF PARTNERING WITH ENGINEERING TEAMS TO IMPROVE OVERALL SECURITY POSTURE THROUGH ARCHITECTURAL GUIDANCE, SECURE CODING BEST PRACTICES, AND CONTINUOUS SECURITY EDUCATION. Picture a company redefining how life sciences harness data - one that turns the noise of fragmented scientific systems into the clarity that accelerates discovery, development, and ultimately, human progress. This Scientific Data Cloud pioneer has built a cloud-native ecosystem engineered specifically for the life sciences, connecting laboratory instruments, informatics systems, and analytics applications into a single, intelligent network. The result: harmonized, actionable scientific data that transforms R&D velocity and precision across discovery, development, and manufacturing. Trusted by the world's leading biopharma innovators, their open platform serves as the digital nervous system for scientific operations - empowering researchers and partners to unlock insights at unprecedented scale. Think of it as the Palantir of Life Sciences - designed not just to visualize complexity, but to ingest and process petabytes of scientific data through advanced taxonomies and ontologies that bring structure, context, and meaning to an otherwise chaotic scientific landscape. Through deep collaborations with global leaders in cloud computing and AI, this company is building the foundation for a new era of Scientific Intelligence - one where every experiment, every dataset, and every discovery is connected, contextualized, and exponentially more powerful than before. Senior & Lead Application Security Engineers We're looking for a hands-on Product Security Technical Lead to drive the design, implementation, and evolution of our security engineering program. You'll lead a team of Security Engineers focused on hardening our SaaS and data platforms by breaking things before attackers do - identifying vulnerabilities, building secure infrastructure, and integrating protection across our CI/CD pipelines. This role demands deep technical expertise across AWS, Python, and application & cloud security, along with a hacker's curiosity and a builder's discipline. Why This Role: • You'll have complete ownership of product and cloud security from architecture to execution. • You'll lead by doing - hacking, breaking, and building resilient systems. • Be part of a company where security isn't an afterthought - it's a product feature. Job Responsibilities • Own and evolve the organization's entire application security posture, with a focus on application and cloud security across all product lines. • Perform offensive and defensive security assessments - threat modeling, code review, penetration testing, and vulnerability exploitation. • Build and integrate automated security tooling (SAST, DAST, dependency scanning, IaC scanning) into CI/CD pipelines. • Develop security automation and internal tooling using Python, Bash, or Go. • Partner with Engineering, DevOps, and Infrastructure teams to ensure secure AWS architectures (VPC, IAM, KMS, GuardDuty, CloudTrail, WAF). • Oversee incident response and root cause analysis for product and infrastructure-level security events. • Define and enforce secure coding standards, and lead threat modeling sessions for critical features and services. • Continuously hunt for vulnerabilities, test assumptions, and “break things safely” to strengthen the platform. Preferred Qualifications: • Certifications such as AWS Certified Security - Specialty, OSCP, or CISSP. • Experience in SaaS, Big Data, or high-scale distributed environments. • Knowledge of MITRE ATT&CK, OWASP Top 10, and secure software design principles. Required Skills & Experience: • 8+ years of hands-on experience in Application, Cloud, or Product Security roles, with lead or staff-level responsibilities. • Deep expertise in AWS security architecture and service hardening. • Advanced programming and scripting ability in Python (Bash or Go a plus). • Proven experience with offensive security: hacking, exploit analysis, or red team operations. • Strong foundation in vulnerability management, threat modeling, and incident response. • Proficient with DevSecOps tools and modern CI/CD environments. • Familiarity with container and orchestration security (Docker, Kubernetes, EKS). Required Education • Bachelor's degree in computer science or another equivalent degree.