Principal engineer jobs in Martinez, CA

Senior Data Centre Field Engineer - Bay Area (Frequent International Travel) | 12-Month Contract | 1099 or C2C Our client, a leading technology consultancy specialising in large-scale infrastructure deployments, is seeking an experienced Senior Data Centre Field Engineer to join their team on a 12-month contract. This position is based in the Bay Area and involves frequent international travel to client sites. This role will suit a highly skilled and self-driven field engineer with deep experience in data centre infrastructure, structured cabling, and enterprise network deployments. You will lead complex field projects, mentor junior engineers, and ensure that every installation meets the highest technical and quality standards. Role Overview As a Senior Data Centre Field Engineer, you will: Lead infrastructure deployment projects across data centre, enterprise, and retail environments, ensuring all deliverables are completed to scope, on time, and to a high standard. Pull, terminate, and test Cat6/6a and fibre structured cabling systems. Rack, stack, and configure network equipment; decommission legacy devices and patch cables as required. Deploy fully built racks into data centres and enterprise spaces, completing cross-connects and final cabling. Install and test Wireless Access Points, ensuring high-quality terminations and documentation. Partner with internal teams or local field engineers on complex, multi-site deployments. Mentor and support less experienced colleagues, sharing best practices and technical knowledge. Serve as a trusted on-site advisor, maintaining both client and internal standards throughout all project phases. Provide as-built and redline documentation updates to ensure engineering records remain current and accurate. Conduct post-project reviews, sharing lessons learned to continually improve delivery quality. Review project scopes, BOMs, and schedules using internal tools, identifying and escalating potential issues early. Stay current with emerging network technologies - routing, switching, Wi-Fi, firewalls, compute, storage, AV, power, and cabling. Represent the consultancy with professionalism, identifying potential business opportunities and maintaining strong client relationships. Required Skills & Experience 5+ years' experience delivering complex data centre or enterprise infrastructure projects for large customers (preferably via a VAR or systems integrator). Proven expertise in structured cabling, including fibre and copper installation, testing, and certification. Hands-on experience using tools such as Fluke testers, OTDRs, network analysers, and wire mapping tools. Ability to read and interpret MOPs, cable run lists, patch plans, and schematics. Strong troubleshooting and fault-finding skills within high-pressure, mission-critical environments. Proficiency with Unix/Linux CLI, network configuration, firmware installation, and device provisioning. Experience analysing wireless survey reports (e.g., Ekahau, Airmagnet, Hamina) and advising on signal remediation. Excellent customer-facing, communication, and documentation skills. Self-starter with strong organisational discipline and the ability to manage multiple concurrent projects. Certifications & Education Cabling certifications (e.g., CNCI, BTEC, City & Guilds, BICSI) desirable. CCNA or CWNA certification (or equivalent demonstrable knowledge) preferred. Contract Details Location: Bay Area, CA (frequent international travel required) Contract Type: 12-Month Contract (1099 or C2C) Client Type: Technology Consultancy Start Date: ASAP Compensation: Competitive day rate, based on experience If you are an experienced Senior Data Centre Field Engineer who thrives in hands-on environments and enjoys leading complex deployments, this is an excellent opportunity to join a forward-thinking consultancy working with some of the most respected clients in the industry.

We are seeking a player/ coach to elevate this Security Engineering team's vision, strategy, and technical execution as they advance to the next stage of maturity. Their strongest leaders stay close to the work - remaining hands-on, contributing to code and technical solutions as needed to unblock the team, maintain deep context, and lead by example. This role requires in-person presence twice a week at either our San Francisco, CA or New York City, NY office. Responsibilities Provide strategic and technical leadership for the Security Engineering team. Align security strategy with the evolving needs of the business, partner teams, and peer security functions. Support the ongoing success and growth of the organization through thoughtful hiring and active mentorship. Establish a roadmap that increases platform security capabilities while reducing operational toil through automation. Build trust-based partnerships with engineering and product teams, ensuring alignment between their priorities and security outcomes. Develop and maintain security policies, standards, and guidelines that meet GRC and audit expectations. Define program KPIs to track progress and identify opportunities for improvement. Advise on architecture, technical approaches, and risk trade-offs that balance business agility with secure design. Promote a customer-first mindset, offering self-service and automation-oriented solutions that reduce friction. Manage relationships with security vendors and lead build-vs-buy evaluations for critical capabilities. Qualifications 10+ years of direct technical experience in platform engineering, infrastructure, or security. Strong expertise in AWS, EKS (Kubernetes), EDR (Endpoint Detection & Response), Terraform, and GitHub Enterprise Cloud. Production-level programming experience with Python, Java, or equivalent languages. Demonstrated ability to leverage industry frameworks and standards to mature security programs and align with business outcomes. Experience guiding teams through organizational growth or transformation, preferably within technology-driven companies or startups. Pragmatic approach to security: balancing best practices with business reality to enable secure, efficient operations. Compensation & Benefits Competitive base salary: $250K to $350K Annual discretionary bonus Long-term equity incentives Comprehensive health coverage 401(k) with company matching Paid parental leave Flexible time off

🌎 San Francisco (Hybrid) 💼 Founding/Staff Design Engineer 💵 $200-300k base Our client is an applied AI research lab combining world-class AI expertise-including alumni from Google DeepMind-with exceptional product execution to bring AGI-powered tools to finance. As a Design Engineer, you will own how users experience complex AI systems, defining both the UX and the implementation in modern frontend technologies. You'll be the bridge between cutting-edge research and highly polished, intuitive interfaces that financial professionals can trust. What you'll do: Own the end-to-end user experience for core products, from early prototypes to polished, production-ready interfaces. Build high-quality, interactive frontends using React, TypeScript, and Tailwind, making complex AI systems feel intuitive and trustworthy. Collaborate closely with researchers, PMs, and engineers to translate novel AI capabilities into clear and actionable workflows for users. Define and maintain the design system and component library, ensuring consistency, performance, and visual quality across all products. Run rapid experiments, gather user feedback, and iterate quickly, shaping product decisions with real-world data and insights. Make strategic technical choices-refactoring or redesigning frontend architectures when it improves quality, speed, or maintainability. Ideal candidate: Have built high-performance, polished web applications end-to-end, ideally in complex or data-heavy domains. Are an expert in modern frontend technologies (TypeScript, React, Tailwind, Next.js) and can translate high-level product concepts into production-ready interfaces. Can make non-trivial backend changes (Node.js or Python) and implement small services when needed to support product features end-to-end. Are skilled in at least one statically typed language, care deeply about type safety across UI and APIs, and make technology choices with an eye toward maintainability and long-term quality. Have deployed frontends or supporting services using Docker and Kubernetes on a major cloud provider-or can learn quickly. Use AI to accelerate your work-generating code, copy, or design variants-but critically review outputs to maintain UX quality and correctness. Thrive in high-performing, cross-disciplinary teams, enjoying collaboration with designers, researchers, and engineers. Love technically challenging problems at the intersection of interaction design, performance, and complex AI behavior. Nice to have: Experience designing for professional or enterprise users (traders, analysts, operators). Experience with data visualization or building rich, real-time interfaces. Previous early-stage startup experience or experience as one of the first design/UX hires. Compensation & setup: Competitive salary + meaningful equity upside Hybrid, primarily in-office in San Francisco, working closely with founders and research team High-ownership role with direct impact on product, design, and AI-powered workflows

Machine Learning Research Engineer - Video Intelligence - Up to $250k A Series A Funded start-up who already have millions in recurring revenue are building next-generation AI infrastructure for video intelligence are looking for an Applied Research Engineer to join their team. What You'll Be Doing Build high-performance video understanding systems and large-scale processing pipelines Tackle ambiguous research problems with creative technical solutions Optimize model performance through clever pre/post-processing, parallelism, and inference optimization Work directly with customers and external teams to deliver end-to-end video intelligence products Collaborate with leading AI video labs on cutting-edge applications What We're Looking For 3+ years experience in computer vision or audio processing Strong Python skills with PyTorch or similar ML frameworks Excellent communication abilities, especially customer-facing Clean, maintainable coding practices Product-minded approach - you want to build complete solutions, not just train models Early startup experience is a plus What's In It For You: Competitive salary up to $250k Small, high-impact team with significant growth trajectory Opportunity to work with top AI video labs and collect world-class datasets Apply now for immediate consideration!

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.

Salary: upto $400k cash + Equity & Bonus Reports to: CEO Team: Robotics & Systems Engineering As Head of Physical Systems & Robotics, you will own the vision and execution for physical infrastructure, from robotic hardware and manipulation systems to controls, perception, and high-throughput experimental platforms. You will lead multi-disciplinary teams to deliver physically capable, autonomous systems that integrate closely with AI and simulation teams. Key Responsibilities Technical Vision & Strategy: Define and drive the roadmap for robotics, automation, and physical system platforms. Team Leadership & Growth: Build and lead teams across robotics, controls, perception, systems integration, and hardware engineering. System Architecture: Establish robust hardware/software architectures for complex physical systems. Integration & Collaboration: Work with AI, simulation, and software teams to ensure seamless integration between algorithms and physical execution. Operational Excellence: Implement best practices for reliability, maintainability, safety, and scalability of robotic platforms. Hands-On Innovation: Balance leadership with technical involvement in prototypes, design reviews, hardware selection, and validation. Risk & Safety: Set standards for safety, testing protocols, fault tolerance, and regulatory compliance. Qualifications MS/PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related fields. 10+ years of engineering leadership in building and scaling complex robotic or automated systems. Experience owning end-to-end physical systems, including motion planning, controls, perception integration, and hardware/software co-design. Strong track record of cross-disciplinary collaboration with AI researchers and software engineers. Excellent communicator and leader capable of motivating and aligning engineering teams. Bonus Points Experience with high-throughput or autonomous experimental platforms. Prior work with digital twin or simulator environments tied to physical hardware.

Mechanical Engineer (Robotics) We are partnering with a robotics company building complex electro-mechanical systems where mechanical design directly determines real-world performance. This role is for someone who doesn't just design parts, but owns motion, reliability, and scale. What You'll Do Own the end-to-end mechanical design of complex electro-mechanical systems with moving parts Design and prototype custom mechanisms and actuators under aggressive timelines Drive concepts from first prototype through high-volume production Personally design parts for volume manufacturing processes, including: Injection molding Die casting Stamping / sheet metal Extrusion Powder metal / MIM Partner closely with contract manufacturers (CMs) to ensure DFM, reliability, and cost targets are met Build systems that are not just elegant but robust, testable, and shippable at scale What We're Looking For Exceptionally strong mechanical intuition, you understand how things move, fail, and improve Proven ability to design and prototype quickly without sacrificing rigor Track record of shipping reliable, hardware products at scale Deep hands-on experience designing custom mechanisms, joints, transmissions, and actuators Experience owning mechanical architecture for complex systems with dynamic loads and tight tolerances Comfortable operating across ambiguity, tight timelines, and high expectations Required Background Currently working at a robotics company (hands-on mechanical role) Background in electro-mechanical systems with real moving parts (not CAD-only work) Experience taking designs from concept → prototype → volume production Ideal Signals Designed robotic arms, legs, mobile platforms, end-effectors, or actuation systems Personally responsible for motor selection, gearing, kinematics, or load paths Close collaboration with electrical and controls teams Bias for execution and ownership over documentation and theory

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

Senior / Staff Frontend Engineer | Product-Focused | Series A Startup We're working with a Series A, AI-driven software company building a product that fundamentally changes how federal contractors create and submit proposals. This team is tackling complex, high-stakes workflows and turning weeks of compliance-heavy work into days through thoughtful product design and modern AI. This role is ideal for a Senior or Staff-level Frontend Engineer who cares deeply about user experience, enjoys owning large parts of the product, and wants to help shape both the technical foundation and product direction at an early-stage company. What you'll do • Build and ship core, customer-facing product features used by external users • Own frontend architecture and help define best practices as the product scales • Partner closely with product, design, and backend engineering to deliver polished, intuitive experiences • Translate complex workflows into clean, usable interfaces • Contribute to enterprise-grade software with high standards for performance and reliability • Play a key role in an early-stage company, influencing both product direction and engineering culture What we're looking for • 5+ years of product-focused frontend engineering experience • Proven experience building consumer or business-facing products (not just internal tools) • Background working at a Series A or early-stage startup, or a strong desire to work in that environment • Track record of shipping high-quality software in fast-moving, ambiguous settings • Senior-level ownership mindset, with Staff-level scope or ambition welcomed Technical skills • Strong proficiency in React, JavaScript, and TypeScript • Deep understanding of modern web technologies and frontend architecture • Strong UI/UX instincts and product design sensibility • Experience building complex, data-rich interfaces • Exposure to AI-powered features or large language models is a plus Traits that matter • Product-minded and deeply user-centric • Comfortable taking ownership and making decisions • Excited to build from the ground up at an early-stage startup • Clear communicator who collaborates well across disciplines If you're excited about building meaningful, user-facing products at a Series A company where your work has visible impact, this is worth a conversation.

Senior / Staff Software Engineer About the Role Our client a leader within the enterprise MCP space is building the AI enablement layer for enterprises adopting Model Context Protocol (MCP) a platform that securely connects AI agents to internal tools with strong controls around permissions, observability, and auditability. They're looking for a Senior/Staff Engineer who can architect and ship core platform systems while working directly with enterprise customers. This is a high-ownership, early-stage role where you'll build foundational infrastructure and help define how enterprises adopt MCP in production. What You'll Do Design and build scalable backend and integration systems Ship APIs and connect AI agents to enterprise tools and data Solve real-world integration and data transformation challenges Work directly with customers to gather requirements and iterate quickly Own projects end-to-end, from design to production Help set engineering standards and mentor teammates What We're Looking For 7+ years of hands-on engineering experience with system design Strong background building API-driven, integration-heavy platforms Experience in customer-facing or enterprise environments Familiarity with AI/ML-powered systems or agent tooling High agency, ownership mindset, and strong communication skills Nice to Have Experience with MCP or agent/tooling standards Background in agent security, permissioning, and observability Enterprise-scale platform experience Why This Role High-impact ownership in a small, fast-moving team Direct influence on a cutting-edge AI standard Real enterprise customers and production use cases Fast, founder-led interview process

🚁 Robotics Engineer (Forward Deployed) | UAVs, Aerial Autonomy | Remote (US) We're working with one of the most exciting venture-backed robotics startups in the defense-tech space, building real-time autonomous systems that are deployed directly into the field and used by operators in live environments. Backed by leading defense-focused investors, this team develops mission-critical aerial autonomy software that integrates into next-generation defense platforms. They are hiring a Robotics Engineer to join a small, high-impact engineering team. This role is ideal for someone who has built UAV or drone software hands-on, taken systems from early concept through prototype, and enjoys working directly with customers to shape real-world robotic systems. What you'll be working on: Designing and developing end-to-end UAV and aerial robotics software for defense-focused use cases Building and iterating on autonomous systems using C++, Python, and ROS Prototyping UAV capabilities, running flight tests, gathering operator feedback, and refining rapidly Integrating navigation, mapping, computer vision, and sensor systems into a unified platform Working directly with operators and external stakeholders to understand system behavior in the field Debugging, troubleshooting, and optimizing systems for reliability in real-world environments Collaborating closely with autonomy, hardware, and product teams from lab to deployment What you'll bring: Hands-on experience developing software for drones or UAVs Strong proficiency in C++ with solid robotics software fundamentals Experience working with navigation, mapping, or computer vision systems Familiarity with ROS and real-time sensor data pipelines Comfort operating without rigid requirements and iterating through trial and error A systems-level mindset, able to connect multiple parts of the robotics stack into a working solution Strong communication skills and confidence working directly with customers and operators Bonus points for: PX4 or Ardupilot flight controller experience Startup or founding team experience with exceptional scope University robotics or drone competition teams SLAM, path planning, or perception integration experience Hands-on hardware or prototyping exposure Why this role? Work on cutting-edge UAV autonomy with real-world deployment Join a fast-moving, VC-backed startup with significant ownership and impact Full benefits package including health, dental, vision, 401(k), and flexibility See your software used directly by operators in critical environments This role is open to US-based engineers only. US Citizenship or Green Card required (ITAR compliant). Apply now or for more information, please contact Ciara Holmes at EVONA

🚀 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

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!

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.

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

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.

A top AI Native Command Center startup is looking for a lead software developer to join their growing technology team. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh venture round, they are scaling quickly. As Engineering Lead at Cred, you'll shape how we build. You'll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core. Key Responsibilities: Lead and scale the engineering function with a strong delivery mindset - shipping high-quality features weekly Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps Design and build internal tools to automate development, QA, and data workflows, powered by AI What We're Looking For Must-Haves: 6-10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles Strong background in DevOps and QA best practices - CI/CD pipelines, automated testing, infrastructure as code Experience building and scaling data-rich products - including APIs, integrations, scraping tools, or cloud platforms AI-native mindset - you actively look for ways to integrate LLMs and automation into engineering processes

Research Engineer - San Francisco, CA A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Research Engineer to join their team. What Will I Be Doing: Optimize inference throughput for novel model architectures Contribute to frameworks used for our research and production workloads Train trillion-parameter models on large GPU clusters Curate post-training datasets to improve targeted capabilities Build out internet-scale data pipelines and crawlers Design, prototype and optimize new model architectures Contribute to research across long-context, inference-time compute, RL, and more What we're looking for: Strong general software engineering skills Thorough knowledge of the deep learning literature Experience with pre- and post-training of LLMs Ability to come up with and evaluate research ideas Experience working with large distributed systems Ability to handle large ETL workloads What's In It for Me: Salary of $225K-$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors Apply now for immediate consideration!