Devops engineer jobs in Mountain View, CA

We are seeking a Senior DevOps Build Engineer with experience in designing, building, and maintaining secure, automated CI/CD pipelines for cloud based applications. The ideal candidate is a cloud savvy AWS expert with strong DevOps experience and good understanding of infrastructure-as-code, containerization and security scanning. In this role, you will collaborate across multiple teams including development, infrastructure, security and networking to deliver reliable, secure and scalable cloud solutions. You will also provide leadership in DevOps best practices, CI/CD automation, and secure architecture design. Responsibilities: Design, build, and optimize automated CI/CD pipelines and integrate SAST, DAST, OSS, and container security scans. Provide DevOps architectural leadership, mentorship, and best-practice guidance across teams. Lead standardization of DevOps pipeline frameworks and secure development patterns. Implement automated deployment, infrastructure, and build/release workflows. Own technical implementation for assigned development initiatives and ensure alignment with internal engineering standards. Partner closely with architecture, security, and engineering stakeholders to ensure secure and compliant build practices. Maintain platform security aligned with organizational Information Security policies. Anticipate risks and proactively propose solutions related to enterprise platform scaling and cloud adoption. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent work experience. At least 7 years of AWS experience delivering solutions in a DevOps or architecture role Hands on background designing, implementing, and supporting complex multi environment platforms. Proven experience building and supporting DevOps infrastructure, CI/CD pipelines, and automation. Strong experience configuring GitLab and artifact repositories such as Nexus. Experience preparing vulnerability reports using tools such as Fortify, SonarQube, NexusIQ, and GitLab native scans (Semgrep, Gymnasium). Experience configuring Checkov and KICS for IaC scanning. Containerization experience using Docker and AWS cloud services (CloudWatch, ECS, EKS, Lambda, Fargate, EC2.) Secrets management experience using AWS Secrets Manager, AWS SSM Parameter Store, and/or Vault. Advanced scripting experience using Python, Shell, Groovy, YAML/JSON. Experience with major IDEs using Visual Studio, IntelliJ, Eclipse. Strong experience integrating build tools and technologies across C++, Java, JavaScript, and .NET application stacks. Strong Linux and Windows OS experience. Knowledge working within Agile project environments and using tools such as Jira and VersionOne.

Sr. DevOps with GitHub Co-Pilot exp. Long-term Contract Direct Client: Semiconductor Manufacturing Company Candidates need to be senior level with co-pilot experience Extensive experience in DevOps roles with a focus on supporting and optimizing AI-powered development tools, particularly GitHub Co-Pilot. Should be strong in Unix Demonstrated expertise in leveraging Co-Pilot to streamline code development workflows, improve code quality, and increase developer productivity. Proven track record of providing technical support and guidance to users of the Co-Pilot platform, including troubleshooting issues, addressing user feedback, and advocating for platform enhancements. Strong proficiency in integrating Co-Pilot into CI/CD pipelines and development workflows to automate repetitive tasks, accelerate code review processes, and ensure code consistency. Experience in creating and maintaining Co-Pilot-specific best practices and guidelines for code generation, including code style conventions, documentation standards, and security practices. Familiarity with machine learning and natural language processing concepts, with a deep understanding of how Co-Pilot's AI model works and its limitations. Ability to collaborate with engineering teams to provide insights and recommendations for improving Co-Pilot's accuracy, relevance, and usability. Excellent communication skills, both written and verbal, with the ability to effectively communicate Co-Pilot-related concepts and solutions to technical and non-technical stakeholders. Strong problem-solving abilities and attention to detail, with a proactive approach to identifying and addressing issues related to Co-Pilot usage and integration. Leadership skills to drive Co-Pilot adoption and advocate for its benefits across the organization, as well as mentor team members on best practices for leveraging the platform effectively. Adaptability and a willingness to stay updated on Co-Pilot updates, new features, and industry best practices to continuously improve its usage and impact within the organization. Must have AWS, Jenkins, Unix, and Co-Pilot strong Hands-on, Migrating experience from SVN to Git is a must - Total 8-10 yrs exp. in DevOps - Hands-on exp in Version Control, CI/CD, Containerization (Kubernetes) workflow, Code Scanning, etc. - In the beginning, he/she will help with migrating on-prem footprint to the cloud, so the candidate also needs to have a Terraform script and at the Solution Architect level of skill in AWS cloud.

We are partnered with a Series A AI Lab (backed by top-tier investors and advised by pioneering figures in generative and interactive media) that is hiring a Principal DevOps Engineer. They're backed by leading global VCs and AI research leaders (from OpenAI, DeepMind, Meta, and others), and guided by renowned figures in computer graphics and autonomous systems. The founding team brings deep expertise from frontier AI research and large-scale distributed systems, blending academic excellence with proven startup execution. As a Principal DevOps Engineer, you will work directly with the founders to architect, build, and scale the compute substrate that powers this next generation of AI. You'll design and optimize the inference platform, GPU-based training clusters, and data processing pipelines that drive real-time creativity and discovery. You'll play a key role in scaling systems for both research and production - ensuring low-latency performance, high availability, and efficient utilization across petabyte-scale data and model-serving workloads. Key Experience Required 5+ years of experience in Software / ML Infrastructure Engineering. Deep experience with distributed systems and GPU orchestration for high-performance ML workloads. Proficiency in Python, Go, or similar, and strong grasp of software engineering best practices. Hands-on expertise with Kubernetes, Docker, and IaC (Terraform). Experience optimizing model serving and data pipelines for latency and scalability. A builder's mindset - you thrive in ambiguity, pick the right tools for the job, and ship. This is a chance to join a team working at the frontier of real-time AI systems - please apply ASAP for more info.

Duration;1 yr W2 candidates only What you will bring: Experience integrating complex public cloud and third-party SaaS solutions. Prior work with single sign-on and multi-factor authentication, with a focus on migrating between IDPs. Knowledge of cloud services (e.g., AWS, GCP, Azure) and infrastructure as code (e.g., Terraform, CloudFormation). Agile methodology including using tools/practices such as Jira, roadmapping, managing sprints and backlogs, and tracking resource usage. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical DevOps experience with at least 5+ years working with AWS. Strong scripting / coding skills in one or more programming / scripting languages (e.g., Python, Powershell,Go, C#, JavaScript). Strong communication and collaboration skills to work effectively with cross-functional teams. A passion for building systems that truly meet the needs of multiple types of technical and non-technical users.

Senior DevOps Engineer San Francisco, CA $175,000 - $210,000 Hybrid We're looking for an experienced Senior DevOps Engineer to lead infrastructure initiatives, optimize CI/CD systems, and mentor other engineers as we continue to scale our client's platform. Role Overview As a Senior DevOps Engineer, you'll take ownership of our cloud infrastructure and delivery pipelines. You'll collaborate closely with developers, architects, and security teams to build highly available, fault-tolerant systems as well as drive best practices in automation, observability, and reliability. Responsibilities Architect, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery. Lead the design and automation of scalable infrastructure in AWS, Azure, or GCP. Define and enforce best practices for infrastructure-as-code (IaC) using Terraform, Ansible, or similar tools. Implement robust monitoring, alerting, and logging systems (Grafana, Prometheus, ELK, Datadog). Optimize cloud costs, security, and performance across multiple environments. Collaborate with development teams to design cloud-native, containerized solutions using Docker and Kubernetes. Drive incident response processes and improve system reliability (SRE principles). Mentor junior DevOps and software engineers on automation and cloud operations. Requirements 7+ years of hands-on DevOps or Site Reliability Engineering experience. Proven expertise in AWS, Azure, or GCP cloud infrastructure. Strong experience with Kubernetes and container orchestration at scale. Deep understanding of CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or CircleCI). Strong scripting and automation skills (Python, Bash, or Go preferred). Proficiency in Infrastructure as Code (Terraform, CloudFormation, or Ansible). Excellent grasp of cloud security, networking, and system observability. Experience leading projects or mentoring engineering teams. Nice to Have Experience with service mesh, serverless, or multi-cloud deployments. Background in performance optimization, disaster recovery, or SRE practices. Certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or Azure DevOps Expert.

A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape. Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving. Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software. Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems. Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration. Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform. Develop backend services to process and serve complex 3D visualizations from simulation and geometric data. Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs. Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements Strong backend software engineering experience, with a primary focus on Python. Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered). Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK. Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models. Experience working in fast-paced environments where end-to-end ownership and proactivity are essential. Exceptional communication and collaboration abilities. What Will Make You Stand Out Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools). Exposure to agent frameworks, workflow orchestration engines, or distributed systems. Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends. Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Robotics Software Engineer (Generalist/Full-Stack) Robotic Software Engineer - Humanoid Robotics Palo Alto, SF Bay Area (Full-time | Onsite) $180k-$200k + equity (flexible for exceptional candidates) We are recruiting building next-generation humanoid robotic systems that combine advanced AI with cutting-edge hardware. Our team moves fast, prototypes aggressively, and puts real robots into the world. We're now hiring a Robotic Software Engineer to help shape our core software stack and accelerate the development of our embodied AI systems. What You'll Work On As part of a small, high-impact engineering team, you will: Build and optimise robotics software in C++ and ROS2 Integrate perception, control, planning, and learning modules Work hands-on with robots to bring up new hardware and run real-world experiments Deploy reinforcement learning / imitation learning policies onto physical robots Develop middleware, interfaces, and tooling that connect AI → hardware Prototype behaviours across diverse robot types (arms, humanoids, mobile platforms, drones) This role directly supports both our AI and hardware teams and has significant ownership from day one. Must-haves: Strong C++ development skills (multi-threading, performance, systems-level) Professional experience with ROS2 Hands-on robotics experience - ideally robot learning on physical hardware Ability to work on real robots (debugging, integration, testing) Generalist mindset and comfort in a fast-paced startup environment Nice-to-haves: Manipulation or kinematics (humanoids, arms, quadrupeds) Controls for mobile robots or drones Sensor/actuator integration, drivers, or middleware experience VR prototyping (Meta Quest or similar) Experience across different robot embodiments Why Join Us Build software that runs on real humanoid robots immediately High ownership within a small, world-class engineering team Competitive compensation + meaningful equity Opportunity to influence architecture, roadmap, and product direction Work at one of the most exciting intersections in tech: AI × robotics

🚀 Software Engineer - AI & Full Stack (San Francisco, CA) 💼 Full-Time | 🧠 1-4+ Years Experience | 💰 $150,000- 210,000 We're building self-improving software - AI that continuously creates, tests, and enhances digital experiences. Backed by Y Combinator, Gradient, and leaders from OpenAI, Uber, and Meta, we've raised $5M+ and are scaling fast. If you love building things that think for themselves , this is your chance to help shape the next wave of intelligent software. 🧩 What You'll Do Build an AI-powered paywall editor serving millions of users every day. Work across the stack - Next.js frontend + Python backend - integrating the latest AI models & APIs. Ship fast: design → code → test → deploy → learn → repeat. Collaborate directly with founders, engineers, and customers to deliver exceptional user experiences. ⚡ What We're Looking For Strong problem-solving and full-stack skills (Python, React, TypeScript). Experience building user-facing products that people love. Excellent communication and a bias for action. Ownership mindset - you ship things that matter. Startup experience = BONUS BSc CompSc degree preferred 💡 Bonus Points Experience with AI/LLM integrations. Startup or founder-level experience. Mobile skills (Swift, Flutter, React Native). 🧠 Tech Stack Next.js (React/TypeScript), Zustand, Tailwind, Shadcn, Python, Supabase, Fly.io, Swift, Flutter, Expo 📍 In-person role - San Francisco (Mon-Sat) U.S. work authorization required (O-1 visa sponsorship possible). If you're ready to build AI that builds software, we'd love to hear from you. 👉 Apply now and help us invent the future of intelligent systems.

Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack-where raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale. We eliminate the hidden inefficiencies in modern data platforms-slashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60%+ lower storage costs, up to 60% lower compute spend, 3× faster data processing, and 20% overall efficiency gains. Why It Matters Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back-making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills. Who We Are World-renowned researchers in compression, information theory, and data systems Elite engineers from Google, Pure Storage, Cohesity, and top cloud teams Enterprise sellers who turn ROI into seven‑figure wins. Powered by World-Class Investors & Customers $65M+ raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders Our Mission: We're building the default data substrate for AI, and a generational company built to endure. Smarter Infrastructure for the AI Era: We make data efficient, safe, and ready for scale-think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling: 60%+ reduction in storage costs and up to 60% lower compute spend 3x faster data processing 20% platform efficiency gains Trusted by Industry Leaders Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms. A Deep Tech Approach to AI We're unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy: Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1-2 top-tier papers per quarter. Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025. Backed by the Best We've raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our Mission To convert entropy into intelligence, so every builder-human or AI-can make the impossible real. We're building the default data substrate for AI, and a generational company built to endure beyond any single product cycle. WHAT YOU'LL DO This is a deep systems role for someone who lives and breathes distributed infrastructure, understands how data moves at scale, and wants to build the next-generation AI data platform from the ground up. Own the ACID backbone. Design and harden transactional layers and metadata services so that petabyte-scale tables can time-travel in microseconds and schema evolution becomes a non-event. Turn metadata into rocket fuel. Build compaction, caching, and pruning services that keep millions of file pointers within 50 ms from lookup to plan. Squeeze more signal per byte. Optimize data layouts-from column ordering to dictionary and bit-packing, bloom filters, and zone-map indexes-to cut scan I/O by 10× on real-world workloads. Ship adaptive indexing with research. Co-invent machine-driven indexes that learn access patterns and automatically re-partition nightly-no more manual “analyze table” ever again. Scale the engine, not the babysitting. Write Spark, Flink, or batch pipelines that autoscale across S3, GCS, and ADLS; expose observability hooks; and survive chaos drills without triggering a pager storm. Code for longevity. Write clean, test-soaked Java, Scala, Go, or C++. Document key invariants so future teams can extend the system-instead of rewriting it. Measure success in human latency. If analysts see their dashboards refresh in blink-level time, you've won. Publish your breakthrough and mentor the next engineer to raise the bar again. WHAT WE'RE LOOKING FOR You've built systems where performance, resilience, and clarity of design all matter. You thrive at the intersection of infrastructure engineering and applied research, and care deeply about both how something works and how well it works at scale. Core Skills Distributed Systems and Storage Fundamentals - consistency, replication, sharding, durability, transactions. Columnar Storage Optimization - deep knowledge of Parquet or similar formats (column ordering, compression, zone maps). Metadata and Indexing Systems - experience building metadata-driven services, compaction, caching, and adaptive indexing. Distributed Compute at Scale - production-grade Spark/Flink or equivalent pipeline development across S3, GCS, or ADLS. Programming for Scale and Longevity - strong coding in Java, Scala, Go, or C++, with clean testing and documentation practices. Resilient Systems and Observability - you've built systems that survive chaos drills and expose the right metrics. Desired Skills Exposure to open table formats such as Apache Iceberg, Delta Lake, or Hudi. Experience with catalog services, query planning, or compaction frameworks. OSS contributions or published work in data infrastructure or distributed systems. WHY JOIN GRANICA If you've helped build the modern data stack at a large company-Databricks, Snowflake, Confluent, or similar-you already know how critical lakehouse infrastructure is to AI and analytics at scale. At Granica, you'll take that knowledge and apply it where it matters most…at the most fundamental layer in the data ecosystem. Own the product, not just the feature. At Granica, you won't be optimizing edge cases or maintaining legacy systems. You'll architect and build foundational components that define how enterprises manage and optimize data for AI. Move faster, go deeper. No multi-month review cycles or layers of abstraction-just high-agency engineering work where great ideas ship weekly. You'll work directly with the founding team, engage closely with design partners, and see your impact hit production fast. Work on hard, meaningful problems. From transaction layer design in Delta and Iceberg, to petabyte-scale compaction and schema evolution, to adaptive indexing and cost-aware query planning-this is deep systems engineering at scale. Join a team of expert builders. Our engineers have designed the core internals of cloud-scale data systems, and we maintain a culture of peer-driven learning, hands-on prototyping, and technical storytelling. Core Differentiation: We're focused on unlocking a deeper layer of AI infrastructure. By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence. Be part of something early-without the chaos. Granica has already secured $65M+ from NEA, Bain Capital Ventures, A* Capital, and legendary operators from Okta, Tesla, and Databricks. Grow with the company. You'll have the chance to grow into a technical leadership role, mentor future hires, and shape both the engineering culture and product direction as we scale. COMPENSATION & BENEFITS Competitive salary and meaningful equity Unlimited PTO + quarterly recharge days Premium health, vision, and dental Team offsites, deep tech talks, and learning stipends Help build the foundational infrastructure for the AI era Granica is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Title: Software Engineer (All Levels) - Mountain View, CA Team: Core Engineering Employment Type: Full-Time About the Role: We're building a transformative real-world product that operates at the intersection of autonomy, connectivity, and scale. As part of our growing engineering team in Mountain View, you'll contribute to a cutting-edge system that brings together diverse areas of software-from low-level hardware integration to high-level user experience. We're looking for engineers at all levels who thrive in collaborative environments and enjoy solving complex, real-world challenges. Whether your expertise lies in distributed systems, computer vision, full stack development, embedded systems, or data pipelines, there's a place for you here. What You'll Do: Your contributions will vary based on your expertise, but opportunities include: Building scalable distributed systems for real-time processing and coordination Developing and refining perception pipelines and ML-driven computer vision systems Designing, implementing, and testing embedded software with real-world constraints (latency, power, bandwidth) Creating intuitive web interfaces and backend APIs for monitoring, control, and insights Architecting robust QA frameworks to support system-level reliability and automation Enhancing connectivity and wireless performance in dynamic, multi-device environments Working on advanced control algorithms and sensor fusion pipelines to ensure safe, stable operation We're Looking For Engineers Who: Are passionate about building resilient, high-performance systems Have strong fundamentals in computer science or electrical engineering Value code quality, testability, and performance Can collaborate across disciplines (hardware, software, data) Are comfortable working in a fast-moving, iterative environment Preferred Experience (You don't need all of these): Experience with C++, Python, Go, or Rust Background in real-time systems or embedded development Familiarity with machine learning, computer vision, or sensor fusion Knowledge of cloud platforms and scalable infrastructure (e.g., Kubernetes, AWS) Prior work on autonomous systems, robotics, or high-reliability systems Why Join Us: This is your chance to work on a product that operates in the physical world and has a direct impact on safety, autonomy, and connectivity. You'll work alongside a highly skilled, mission-driven team in a collaborative and supportive environment. We're building something unique-and we'd love for you to be a part of it.

We're a Series A and we need a systems-savvy engineer who can architect, optimize, and turbocharge our multi-target runtime from day one. If concurrent programming is your playground, C++14 is your native language, and you think in cache lines, pipelines, and memory hierarchies, this role puts you at the heart of the action. What You'll Do Design, build, and continually improve our multi-target runtime Apply cutting-edge parallelization + partitioning techniques to generate and exploit highly optimized kernels Rapidly prototype ideas and validate them with real data What You Bring Deep expertise in asynchronous + concurrent programming 4+ years of modern C/C++ Strong grasp of hardware architecture (scalar vs vector, memory hierarchies, etc.) Knowledge of OS kernel or hypervisor development Bonus Points CUDA/ROCm library experience GPU programming background HPC experience MS/PhD in CS or equivalent Familiarity with PyTorch, JAX, Triton Experience wrangling large compute clusters Why You'll Love It You'll own critical, performance-sensitive systems that sit at the core of our stack; shaping how next-gen ML models run across diverse hardware. High impact, deep tech, zero bureaucracy. If you want to engineer at the limits of performance and help build a runtime that changes the game let's talk!

Sr. DevOps with GitHub Co-Pilot exp. Long-term Contract Direct Client: Semiconductor Manufacturing Company Candidates need to be senior level with co-pilot experience Extensive experience in DevOps roles with a focus on supporting and optimizing AI-powered development tools, particularly GitHub Co-Pilot. Should be strong in Unix Demonstrated expertise in leveraging Co-Pilot to streamline code development workflows, improve code quality, and increase developer productivity. Proven track record of providing technical support and guidance to users of the Co-Pilot platform, including troubleshooting issues, addressing user feedback, and advocating for platform enhancements. Strong proficiency in integrating Co-Pilot into CI/CD pipelines and development workflows to automate repetitive tasks, accelerate code review processes, and ensure code consistency. Experience in creating and maintaining Co-Pilot-specific best practices and guidelines for code generation, including code style conventions, documentation standards, and security practices. Familiarity with machine learning and natural language processing concepts, with a deep understanding of how Co-Pilot's AI model works and its limitations. Ability to collaborate with engineering teams to provide insights and recommendations for improving Co-Pilot's accuracy, relevance, and usability. Excellent communication skills, both written and verbal, with the ability to effectively communicate Co-Pilot-related concepts and solutions to technical and non-technical stakeholders. Strong problem-solving abilities and attention to detail, with a proactive approach to identifying and addressing issues related to Co-Pilot usage and integration. Leadership skills to drive Co-Pilot adoption and advocate for its benefits across the organization, as well as mentor team members on best practices for leveraging the platform effectively. Adaptability and a willingness to stay updated on Co-Pilot updates, new features, and industry best practices to continuously improve its usage and impact within the organization. Must have AWS, Jenkins, Unix, and Co-Pilot strong Hands-on, Migrating experience from SVN to Git is a must - Total 8-10 yrs exp. in DevOps - Hands-on exp in Version Control, CI/CD, Containerization (Kubernetes) workflow, Code Scanning, etc. - In the beginning, he/she will help with migrating on-prem footprint to the cloud, so the candidate also needs to have a Terraform script and at the Solution Architect level of skill in AWS cloud.

We are seeking a Senior DevOps Build Engineer with experience in designing, building, and maintaining secure, automated CI/CD pipelines for cloud based applications. The ideal candidate is a cloud savvy AWS expert with strong DevOps experience and good understanding of infrastructure-as-code, containerization and security scanning. In this role, you will collaborate across multiple teams including development, infrastructure, security and networking to deliver reliable, secure and scalable cloud solutions. You will also provide leadership in DevOps best practices, CI/CD automation, and secure architecture design. Responsibilities: Design, build, and optimize automated CI/CD pipelines and integrate SAST, DAST, OSS, and container security scans. Provide DevOps architectural leadership, mentorship, and best-practice guidance across teams. Lead standardization of DevOps pipeline frameworks and secure development patterns. Implement automated deployment, infrastructure, and build/release workflows. Own technical implementation for assigned development initiatives and ensure alignment with internal engineering standards. Partner closely with architecture, security, and engineering stakeholders to ensure secure and compliant build practices. Maintain platform security aligned with organizational Information Security policies. Anticipate risks and proactively propose solutions related to enterprise platform scaling and cloud adoption. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent work experience. At least 7 years of AWS experience delivering solutions in a DevOps or architecture role Hands on background designing, implementing, and supporting complex multi environment platforms. Proven experience building and supporting DevOps infrastructure, CI/CD pipelines, and automation. Strong experience configuring GitLab and artifact repositories such as Nexus. Experience preparing vulnerability reports using tools such as Fortify, SonarQube, NexusIQ, and GitLab native scans (Semgrep, Gymnasium). Experience configuring Checkov and KICS for IaC scanning. Containerization experience using Docker and AWS cloud services (CloudWatch, ECS, EKS, Lambda, Fargate, EC2.) Secrets management experience using AWS Secrets Manager, AWS SSM Parameter Store, and/or Vault. Advanced scripting experience using Python, Shell, Groovy, YAML/JSON. Experience with major IDEs using Visual Studio, IntelliJ, Eclipse. Strong experience integrating build tools and technologies across C++, Java, JavaScript, and .NET application stacks. Strong Linux and Windows OS experience. Knowledge working within Agile project environments and using tools such as Jira and VersionOne.

Senior DevOps Engineer San Francisco, CA $175,000 - $210,000 Hybrid We're looking for an experienced Senior DevOps Engineer to lead infrastructure initiatives, optimize CI/CD systems, and mentor other engineers as we continue to scale our client's platform. Role Overview As a Senior DevOps Engineer, you'll take ownership of our cloud infrastructure and delivery pipelines. You'll collaborate closely with developers, architects, and security teams to build highly available, fault-tolerant systems as well as drive best practices in automation, observability, and reliability. Responsibilities Architect, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery. Lead the design and automation of scalable infrastructure in AWS, Azure, or GCP. Define and enforce best practices for infrastructure-as-code (IaC) using Terraform, Ansible, or similar tools. Implement robust monitoring, alerting, and logging systems (Grafana, Prometheus, ELK, Datadog). Optimize cloud costs, security, and performance across multiple environments. Collaborate with development teams to design cloud-native, containerized solutions using Docker and Kubernetes. Drive incident response processes and improve system reliability (SRE principles). Mentor junior DevOps and software engineers on automation and cloud operations. Requirements 7+ years of hands-on DevOps or Site Reliability Engineering experience. Proven expertise in AWS, Azure, or GCP cloud infrastructure. Strong experience with Kubernetes and container orchestration at scale. Deep understanding of CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or CircleCI). Strong scripting and automation skills (Python, Bash, or Go preferred). Proficiency in Infrastructure as Code (Terraform, CloudFormation, or Ansible). Excellent grasp of cloud security, networking, and system observability. Experience leading projects or mentoring engineering teams. Nice to Have Experience with service mesh, serverless, or multi-cloud deployments. Background in performance optimization, disaster recovery, or SRE practices. Certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or Azure DevOps Expert.

Robotics Software Engineer (Generalist/Full-Stack) Robotic Software Engineer - Humanoid Robotics Palo Alto, SF Bay Area (Full-time | Onsite) $180k-$200k + equity (flexible for exceptional candidates) We are recruiting building next-generation humanoid robotic systems that combine advanced AI with cutting-edge hardware. Our team moves fast, prototypes aggressively, and puts real robots into the world. We're now hiring a Robotic Software Engineer to help shape our core software stack and accelerate the development of our embodied AI systems. What You'll Work On As part of a small, high-impact engineering team, you will: Build and optimise robotics software in C++ and ROS2 Integrate perception, control, planning, and learning modules Work hands-on with robots to bring up new hardware and run real-world experiments Deploy reinforcement learning / imitation learning policies onto physical robots Develop middleware, interfaces, and tooling that connect AI → hardware Prototype behaviours across diverse robot types (arms, humanoids, mobile platforms, drones) This role directly supports both our AI and hardware teams and has significant ownership from day one. Must-haves: Strong C++ development skills (multi-threading, performance, systems-level) Professional experience with ROS2 Hands-on robotics experience - ideally robot learning on physical hardware Ability to work on real robots (debugging, integration, testing) Generalist mindset and comfort in a fast-paced startup environment Nice-to-haves: Manipulation or kinematics (humanoids, arms, quadrupeds) Controls for mobile robots or drones Sensor/actuator integration, drivers, or middleware experience VR prototyping (Meta Quest or similar) Experience across different robot embodiments Why Join Us Build software that runs on real humanoid robots immediately High ownership within a small, world-class engineering team Competitive compensation + meaningful equity Opportunity to influence architecture, roadmap, and product direction Work at one of the most exciting intersections in tech: AI × robotics

🚀 Software Engineer - AI & Full Stack (San Francisco, CA) 💼 Full-Time | 🧠 1-4+ Years Experience | 💰 $150,000- 210,000 We're building self-improving software - AI that continuously creates, tests, and enhances digital experiences. Backed by Y Combinator, Gradient, and leaders from OpenAI, Uber, and Meta, we've raised $5M+ and are scaling fast. If you love building things that think for themselves , this is your chance to help shape the next wave of intelligent software. 🧩 What You'll Do Build an AI-powered paywall editor serving millions of users every day. Work across the stack - Next.js frontend + Python backend - integrating the latest AI models & APIs. Ship fast: design → code → test → deploy → learn → repeat. Collaborate directly with founders, engineers, and customers to deliver exceptional user experiences. ⚡ What We're Looking For Strong problem-solving and full-stack skills (Python, React, TypeScript). Experience building user-facing products that people love. Excellent communication and a bias for action. Ownership mindset - you ship things that matter. Startup experience = BONUS BSc CompSc degree preferred 💡 Bonus Points Experience with AI/LLM integrations. Startup or founder-level experience. Mobile skills (Swift, Flutter, React Native). 🧠 Tech Stack Next.js (React/TypeScript), Zustand, Tailwind, Shadcn, Python, Supabase, Fly.io, Swift, Flutter, Expo 📍 In-person role - San Francisco (Mon-Sat) U.S. work authorization required (O-1 visa sponsorship possible). If you're ready to build AI that builds software, we'd love to hear from you. 👉 Apply now and help us invent the future of intelligent systems.

A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape. Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving. Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software. Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems. Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration. Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform. Develop backend services to process and serve complex 3D visualizations from simulation and geometric data. Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs. Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements Strong backend software engineering experience, with a primary focus on Python. Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered). Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK. Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models. Experience working in fast-paced environments where end-to-end ownership and proactivity are essential. Exceptional communication and collaboration abilities. What Will Make You Stand Out Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools). Exposure to agent frameworks, workflow orchestration engines, or distributed systems. Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends. Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Senior DevOps Engineer San Francisco, CA $175,000 - $210,000 Hybrid We're looking for an experienced Senior DevOps Engineer to lead infrastructure initiatives, optimize CI/CD systems, and mentor other engineers as we continue to scale our client's platform. Role Overview As a Senior DevOps Engineer, you'll take ownership of our cloud infrastructure and delivery pipelines. You'll collaborate closely with developers, architects, and security teams to build highly available, fault-tolerant systems as well as drive best practices in automation, observability, and reliability. Responsibilities Architect, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery. Lead the design and automation of scalable infrastructure in AWS, Azure, or GCP. Define and enforce best practices for infrastructure-as-code (IaC) using Terraform, Ansible, or similar tools. Implement robust monitoring, alerting, and logging systems (Grafana, Prometheus, ELK, Datadog). Optimize cloud costs, security, and performance across multiple environments. Collaborate with development teams to design cloud-native, containerized solutions using Docker and Kubernetes. Drive incident response processes and improve system reliability (SRE principles). Mentor junior DevOps and software engineers on automation and cloud operations. Requirements 7+ years of hands-on DevOps or Site Reliability Engineering experience. Proven expertise in AWS, Azure, or GCP cloud infrastructure. Strong experience with Kubernetes and container orchestration at scale. Deep understanding of CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or CircleCI). Strong scripting and automation skills (Python, Bash, or Go preferred). Proficiency in Infrastructure as Code (Terraform, CloudFormation, or Ansible). Excellent grasp of cloud security, networking, and system observability. Experience leading projects or mentoring engineering teams. Nice to Have Experience with service mesh, serverless, or multi-cloud deployments. Background in performance optimization, disaster recovery, or SRE practices. Certifications such as AWS Certified DevOps Engineer, CKA/CKAD, or Azure DevOps Expert.

Robotics Software Engineer (Generalist/Full-Stack) Robotic Software Engineer - Humanoid Robotics Palo Alto, SF Bay Area (Full-time | Onsite) $180k-$200k + equity (flexible for exceptional candidates) We are recruiting building next-generation humanoid robotic systems that combine advanced AI with cutting-edge hardware. Our team moves fast, prototypes aggressively, and puts real robots into the world. We're now hiring a Robotic Software Engineer to help shape our core software stack and accelerate the development of our embodied AI systems. What You'll Work On As part of a small, high-impact engineering team, you will: Build and optimise robotics software in C++ and ROS2 Integrate perception, control, planning, and learning modules Work hands-on with robots to bring up new hardware and run real-world experiments Deploy reinforcement learning / imitation learning policies onto physical robots Develop middleware, interfaces, and tooling that connect AI → hardware Prototype behaviours across diverse robot types (arms, humanoids, mobile platforms, drones) This role directly supports both our AI and hardware teams and has significant ownership from day one. Must-haves: Strong C++ development skills (multi-threading, performance, systems-level) Professional experience with ROS2 Hands-on robotics experience - ideally robot learning on physical hardware Ability to work on real robots (debugging, integration, testing) Generalist mindset and comfort in a fast-paced startup environment Nice-to-haves: Manipulation or kinematics (humanoids, arms, quadrupeds) Controls for mobile robots or drones Sensor/actuator integration, drivers, or middleware experience VR prototyping (Meta Quest or similar) Experience across different robot embodiments Why Join Us Build software that runs on real humanoid robots immediately High ownership within a small, world-class engineering team Competitive compensation + meaningful equity Opportunity to influence architecture, roadmap, and product direction Work at one of the most exciting intersections in tech: AI × robotics