Principal engineer jobs in San Rafael, 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.

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!

🚀 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.

About the job Staff Software Engineer - SF Bay (4 days onsite) | Up to $195K - $255K + Equity TogetherWeTech is hiring a Staff Software Engineer to take end to end ownership of critical product areas, from architecture through launch, and set the technical direction for how we build at scale. You will drive design reviews, ship prototypes that push our product forward, and establish pragmatic engineering standards that balance speed and quality. Beyond your own contributions, you will mentor teammates into future tech leads and help grow a world class engineering culture. Their mission is to reshape design by streamlining the path from concept to creation, bringing more impactful ideas into the physical world. A well-funded (Series B $51m to date), growing double-digits MoM, and expanding the core engineering team in SF. The surface area is big: realtime collaboration, GPU inference at scale, a modern TypeScript stack, and serving real enterprise What you'll do: Set the architecture roadmap to keep our product reliable, scalable, and a joy to develop in as usage, models, and data grow. Ship hands-on: jump into code for critical paths, rapid prototypes, and hairy debugging (latency, memory, race conditions, WebGL/WASM quirks). Install quality guardrails that scale: test strategy, code-review norms, perf budgets, observability baselines. Mentor and multiply: develop senior engineers into tech leads, model clear written design, and practice crisp decision-making. Partner cross-functionally: represent engineering trade-offs with Product, Design, and Go-To-Market; act as the CTO's delegate when needed. Your toolbox: Frontend: TypeScript, React, Vite, WebGL; realtime collaboration. API/Backend: TypeScript/Node, GraphQL (PostGraphile), Postgres, Redis, background workers. Infra: Kubernetes, Pulumi, CI/CD with GitHub Actions, Datadog for observability, feature flags. Security/Enterprise: SSO/SAML (WorkOS), SOC 2-minded practices. To be considered, 2+ years of Staff Software Engineer role. If you are a passionate and an experienced Staff Softwared Engineer looking to make a difference in a fast-paced and innovative environment, we would love to hear from you! Better Together🟢

You'll work closely with our product, engineering, and security teams to build scalable decentralized systems that push the boundaries of what's possible on-chain. Key Responsibilities: Design, write, test, and deploy smart contracts on Ethereum or other EVM-compatible blockchains. Collaborate with frontend and backend developers to integrate smart contracts into decentralized applications (dApps). Conduct peer reviews, optimize gas efficiency, and maintain best practices for security. Develop automated testing frameworks to ensure contract reliability. Stay up to date with emerging blockchain protocols, development tools, and security standards. Participate in smart contract audits and coordinate fixes for any identified vulnerabilities. Contribute to technical documentation for contracts and protocols. Requirements: Proven experience developing and deploying smart contracts in Solidity (or Rust, for non-EVM chains). Strong understanding of blockchain fundamentals, consensus mechanisms, and token standards (ERC-20, ERC-721, ERC-1155). Experience with smart contract development tools such as Hardhat, Foundry, Truffle, or Remix. Familiarity with Ethereum and Layer 2 scaling solutions (e.g., Arbitrum, Optimism, Polygon). Understanding of web3 libraries (ethers.js, web3.js) and dApp integrations.

Key Responsibilities: Define and drive the company's engineering vision, technical roadmap, and architectural direction. Lead, mentor, and scale cross-functional engineering teams (Backend, Frontend, DevOps, QA, Cloud, Platform). Oversee product development lifecycle - planning, execution, delivery, and continuous improvement. Collaborate closely with Product, Design, and Business teams to ship high-quality, customer-centric products. Establish engineering best practices, coding standards, performance metrics, and operational excellence. Implement scalable engineering processes to support rapid growth and innovation. Guide decisions on technology choices, architecture, infrastructure, and system design. Ensure robust security, reliability, and compliance across platforms and systems. Manage engineering budgets, resource planning, and vendor relationships. Foster a culture of innovation, accountability, and continuous learning. Candidate Profile: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 15+ years of experience in software engineering, with at least 5 years in a senior leadership role. Proven experience building and scaling engineering teams in high-growth tech startups or enterprise software companies. Strong expertise in modern software architectures, cloud technologies (AWS/GCP/Azure), and distributed systems. Hands-on technical depth in one or more areas: SaaS, AI/ML, full-stack development, platform engineering, data engineering. Demonstrated ability to lead complex projects with tight timelines and high impact. Excellent stakeholder management, communication, and decision-making skills.

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

Hi, Greetings from Solvecube HCM I hope you are enjoying a great day! I am from Solvecube HCM, an AI Based global consulting firm head quartered in Singapore. Our client is a Healthcare AI Startup based in San Francisco, USA and looking for a great tech leader as their Principal Engineer. It is a permanent role with client. Your experience at Ambience Healthcare must have equipped you with unique insights and skills that could be a great fit for this role. This opportunity offers a chance to work with a talented team and fixed Salary+Stock options. Key Responsibilities Set technical vision and lead architecture for AI-first platform services. Build advanced systems in LLMOps, reinforcement learning, and AI pipelines. Evaluate and integrate cutting-edge frameworks (LangChain, Hugging Face, RAG). Collaborate with leadership on long-term technology strategy. Mentor senior engineers across India and US teams. Qualifications 10+ years of experience in software/AI engineering, including leadership roles. Deep expertise in PyTorch, TensorFlow, LangChain, Hugging Face. Proven ability to innovate and deliver in startup/scale-up environments. Strong communication and collaboration skills. If this sounds intriguing, I'd love to chat more about it. Feel free to reply to this email or let me know if you'd prefer a quick call. Looking forward to hearing from you soon! If you are not exploring at this moment let me know if you have a strong reference for the same. Please note: The incumbent should be a local citizen or a Green card holder to be eligible. Best regards, Lijy Ronnie Mail me : ******************

A Product Engineer in this role will focus on building and scaling a high-quality AI agent product with strong UX, full‑stack development, and close user collaboration, and should bring 2+ years of startup experience, strong TypeScript skills, and a deep interest in the AI agent space while helping build “high-taste” products for self-learning AI agents and playing a key role in scaling the product to meet growing customer demand while maintaining an exceptional user experience in a rapidly evolving AI agent ecosystem. Responsibilities Collaborate closely with a product designer to ship new features and refine existing user flows based on customer feedback. Engage directly with customers to understand needs, gather feedback, validate ideas, and pitch new features. Develop core product features across the stack (front-end, back-end, and database work) with a focus on quality and reliability. Experiment with new features and technologies, build quick demos for the team, and productionize promising solutions. Contribute to product and design reviews, ensuring the experience is intuitive, polished, and delightful to use. Requirements 2+ years of experience in product, full‑stack, or front‑end engineering at technology startups (Seed to Series E). Proficiency in TypeScript, with experience either across the stack or in front‑end‑leaning roles. Experience at a high‑taste product company or at an AI/agent‑native startup. Undergraduate degree in Computer Science, Engineering, or a related field. What we're looking for Strong product sense and attention to user experience; you care about how things feel, not just how they work. High agency and ownership mindset-you proactively find problems, propose solutions, and ship iteratively. Genuine excitement about the AI agent space and improving agent behavior for real users. Comfort working in a fast-moving, experimental environment with tight feedback loops from users and teammates.

Crossing Hurdles is a global recruitment consultancy partnering with a fast-growing startup (YC W24) which is into orchestrating users' GitHub Action workflows on a fleet of bare-metal gaming CPUs, with build caches co-located next to CI jobs-all enabled by a single line of code. Raised a Series A funding, bringing total capital to $13.5M, and grew ARR from $1M to $3M in just 4 months, continuing to scale rapidly. Role - Product Engineer Location - 5 day/week in NYC/SF Required Tech Stack - React, TypeScript, Golang, Postgres, ClickHouse Compensation - $200k - $300k Benefits - Medical, Vision, and Dental insurance, Unlimited PTO, Quarterly offsite, 12 weeks fully paid parental leave (US) Requirements: 3 - 10 YoE as a great full stack engineer who is 50%-90% frontend leaning but can also work on the backend. Must be product-minded and have worked on customer-facing products Must be proficient in React / TypeScript Why Candidate Should Join: Orchestrates millions of virtual machines each month to run CI jobs efficiently across a proprietary fleet of bare-metal servers. Powers continuous integration for 600+ high-growth startups Founded by elite engineers

The Role Our client is looking for a Lead AI Engineer to spearhead the development of our state-of-the-art foundation model for manufacturing and CAD. This is a leadership role at the intersection of AI, technical architecture, and company vision: a chance to shape not only our models, but the direction of AI in the physical world. What You'll Do Architect and lead the development of a next-generation foundation model that integrates text, geometry, and design intelligence. Build and code: set the standard for technical excellence in ML engineering and model development. Define and own the technical roadmap for Backflip's core model, including architecture, data, training, and evaluation strategy. Shape AI strategy in close collaboration with Backflip's leadership team, ensuring the technical direction is in harmony with product and customer goals. Drive execution: set ambitious objectives, define milestones, and uphold a high technical bar across the team. Mentor and develop engineers across AI and software, fostering growth, creativity, and technical mastery. Collaborate deeply with customers, product, and the sales team to ground model design in real-world feedback and deliver impactful AI-powered tools. Ship real products. You've done it before, and you'll do it again - taking models from research to production systems used by real people in the physical world. Who You Are You've led and shipped at least one (ideally multiple) ML products or large models into real-world production. You have deep experience building large-scale multimodal or generative models (text, 3D, or visual), and are fluent in PyTorch, distributed training, and modern ML infrastructure. You're comfortable thinking across architecture, data, and evaluation, and thrive in the ambiguity of solving hard problems end-to-end. You've led teams or initiatives that influenced company direction, product definition, or customer experience. You bring strong communication and leadership skills, with a clear sense of how technical vision connects to product and customer value. You care deeply about building tools that expand human capability, not just optimizing benchmarks. You're inspired by the opportunity to redefine how AI reshapes manufacturing and design in the real world. What We're Looking For 5-7+ years in deep learning / generative AI with a record of shipping complex systems. Expert in multimodal and generative models (transformers, diffusion, autoregressive); strong Python + PyTorch. Evidence of technical leadership as an IC: you've set standards, led cross-functional efforts, and made architectural decisions that lasted. Fluency from research to production: data strategy, training, tooling, serving, and performance engineering. Bonus Experience with CAD, 3D geometry, graphics, differentiable programming, or AI for the physical world.

What we do Idler builds reinforcement learning environments that teach AI models to code like 0.01% engineers. Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. Our training environments are based on real-world coding scenarios that frontier models will actually encounter. We've closed a multimillion-dollar contract with a leading foundation lab (the largest they've issued to date). Demand is outpacing our capacity to deliver, so we're scaling the team fast. What you'll do Build agentic systems that create and QA coding environments at scale. Most of your day will be spent designing these systems to be extremely sound. A big part of our work is thinking critically about what makes a coding environment and task "good" and "fair". This requires high agency and philosophical thinking alongside technical execution. Concretely, you'll: Design and build scaleable systems that generate RL environments Create automated QA systems to validate environment quality and fairness Work directly with AI researchers at leading labs to understand what makes training data effective Support new product lines as we expand beyond coding environments Staff Engineer Responsibilities & Requirements Lead the process of identifying, specifying, and implementing core technology primitives that maximize the leverage of the rest of the team. Understand and own the technology stack end-to-end. 8 years of professional software engineering experience. Lead and mentor more junior members of the team. You'll work with The founding team, a founding engineer, and a small group of engineers (we're hiring quickly). You'll have direct access to AI researchers at frontier labs. Tech stack Typescript, React, NodeJS, Postgres, Redis, Vercel, Cursor Benefits Healthcare coverage, 401(k), and 15 days PTO. Meals, coffee, and snacks (that you will actually enjoy) covered during working days. Latest MacBook Pro and equipment. Relocation assistance available. Team offsites and events (we love hanging out). xevrcyc This is an in-person role in San Francisco. We're a tight-knit founding team and we play to win. Join us if you like to win too.

This is a full-time role with a client of Dinan & Associates. This role is with an established company and includes excellent health care and other benefits. Role: Principal / Senior Principal Software Engineer Industry: Biotechnology / Pharmaceutical R&D Location: San Francisco Bay Area (Hybrid) The Organization We are a leading global biotechnology company driven to innovate and ensure access to healthcare for generations to come. Our goal is to create a healthier future and more time for patients with their loved ones. The Position Advances in AI, data, and computational sciences are transforming drug discovery and development. Our Research and Early Development organizations have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Our Computational Sciences group is a strategic, unified team dedicated to harnessing the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering innovative medicines for patients worldwide. Within this group, the Data and Digital Solutions team leads the modernization of our computational and data ecosystems by integrating digital technologies to empower stakeholders, advance data-driven science, and accelerate decision-making. The Role The Solutions team develops modernized and interconnected computational and data ecosystems. These are foundational to building solutions that accelerate the work done by Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage, and sharing. As a Software Engineer in the Solutions Engineering capability, you will work closely with Data Engineers, Product Leaders, and Tech/ML Ops, as well as directly with key partners including Computational Scientists and Research Scientists. You will build robust and scalable systems that unlock the potential of diverse scientific data, accelerating the discovery and development of life-changing treatments. Key Responsibilities Technical Leadership: Provide strategic and tactical technical leadership for ongoing initiatives. Identify new opportunities with an eye for consolidation, deprecation, and building common solutions. System Design: Responsible for technical excellence, ensuring solutions are innovative, best-in-class, and integrated by delivering data flows and pipelines across key domains like Research Biology, Drug Discovery, and Translational Medicine. Architecture: Learn, deeply understand, and improve Data Workflows, Application Architecture, and Data Ecosystems by leveraging standard patterns (layered architecture, microservices, event-driven, multi-tenancy). Collaboration: Understand and influence technical decisions around data workflows and application development while working collaboratively with key partners. AI/ML Integration: Integrate diverse sets of data to power AI/ML and Natural Language Search, enabling downstream teams working on Workflows, Visualization, and Analytics. Facilitate the implementation of AI models. Who You Are Education: Bachelor's or Master's degree in Computer Science or similar technical field, or equivalent experience. Experience: 7+ years of experience in software engineering (Principal Software Engineer level). 12+ years of experience (Sr. Principal Software Engineer level). Full Stack Expertise: Deep experience in full-stack development is required. Strong skills in building Front Ends using JavaScript, React (or similar libraries) as well as Backends using high-level languages like Python or Java. Data & Cloud: Extensive experience with Databases, Data Analytics (SQL/NoSQL, ETL, ELT), and APIs (REST, GraphQL). Extensive experience working on cloud-native architectures in public clouds (ideally AWS) is preferred. Engineering Best Practices: Experience building data applications that are highly reliable, scalable, performant, secure, and robust. You adopt and champion Open Source, Cloud First, API First, and AI First approaches. Communication: Outstanding communication skills, capable of articulating technical concepts clearly to diverse audiences, including executives and globally distributed technical teams. Mentorship: Ability to provide technical mentorship to junior developers and foster professional growth. Domain Knowledge (Preferred): Ideally, you are a full-stack engineer with domain knowledge in biology, chemistry, drug discovery, translational medicine, or a related scientific discipline. Compensation & Benefits Competitive salary range commensurate with experience (Principal and Senior Principal levels available). Discretionary annual bonus based on individual and company performance. Comprehensive benefits package. Relocation benefits are available. Work Arrangement Onsite presence on the San Francisco Bay Area campus is expected at least 3 days a week.

Role : Senior Cloud Engineer (AWS) Duration: Long Term Contract 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.

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.

A frontier AI company is building systems that can act in the physical world, experimenting, engineering, and executing multi-step processes with real-world constraints. Backed by major research funding and operating at the edge of physical-AI innovation, they're creating capabilities that don't exist anywhere else. Join to work from first principles, own high-impact systems end-to-end, and help define how agentic AI will operate complex workflows in the real world. Why This Role Matters Build agent systems that plan, execute, and recover across intricate engineering workflows Shape foundational behaviour patterns for next-gen LLM tool-use Join early enough to influence architecture, culture, and performance standards Work on problems that sit far beyond typical “LLM app” engineering What You'll Do Develop planners, state machines, and tool-calling flows using frameworks like LangGraph Create schemas, action definitions, and cross-tool interfaces for reliable, traceable execution Build error-handling, timeouts, retries, rollbacks, and replay mechanisms Partner with ML, infra, and systems teams to integrate agents into real engineering toolchains What You Bring Strong experience with agent systems, structured tool calling, or orchestration frameworks Deep intuition for schemas, deterministic execution, and multi-step workflow design Ability to model failure modes, edge cases, and safe interactions in complex systems Comfort working across AI, systems engineering, and specialised domain tools in a high-precision environment

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

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!