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Sr. DevOps Engineer - AWS
Sogeti 4.7
Devops engineer job in Fremont, CA
Location: San Francisco/Bay Area; must work PST hours. The team spends a few days in office each month.
About the Role: We are seeking a seasoned Sr. DevOpsEngineer to join Sogeti and help deliver cutting-edge cloud and automation solutions. This role focuses on designing and implementing secure, scalable DevOps practices across AWS environments, enabling continuous integration and deployment for enterprise-grade applications.
What You Will Do at Sogeti
Develop and implement DevOps strategies for deployment, scaling, and automation across AWS environments.
Build and optimize CI/CD pipelines with integrated automated testing using AWS CodeBuild and CodePipeline.
Manage containerized workloads leveraging Docker, Kubernetes, and Amazon ECS.
Configure and maintain AWS infrastructure, including RDS instances, multi-environment setups, and compliance monitoring.
Collaborate with development and QA teams during release cycles and troubleshoot production issues.
Apply best practices for cloud security and data protection across application, network, and infrastructure layers.
Oversee Cloudflare updates and database operations to ensure performance and security.
What You Will Bring
Proven experience implementing AWS cloud infrastructure and delivering end-to-end solutions.
Proficiency in scripting languages such as JavaScript, Bash, or Python.
Expertise in Infrastructure as Code using CloudFormation or Terraform.
Hands-on experience with container technologies (Docker, Kubernetes, ECS).
Strong knowledge of CI/CD methodologies, DevSecOps practices, and Git workflows.
Ability to secure systems across all layers and familiarity with security protocols (HTTPS, TLS, PKI, OAuth).
Experience managing AWS RDS instances, including secure configurations, monitoring, and backup strategies.
Preferred Skills
Experience with Cloudflare and Bitbucket.
Familiarity with building and deploying Node.js applications.
Knowledge of monitoring tools such as CloudWatch, Splunk, Datadog, and X-Ray.
Understanding of GDPR and CCPA compliance requirements.
Exposure to scaling applications across multiple geographies.
High-level AI usage in day-to-day activities.
Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field.
Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work options
401(k) with 150% match up to 6%
Employee Share Ownership Plan
Medical, Prescription, Dental & Vision Insurance
Life Insurance
100% Company-Paid Mobile Phone Plan
3 Weeks PTO + 7 Paid Holidays
Paid Parental Leave
Adoption, Surrogacy & Cryopreservation Assistance
Subsidized Back-up Child/Elder Care & Tutoring
Career Planning & Coaching
$5,250 Tuition Reimbursement & 20,000+ Online Courses
Employee Resource Groups
Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
Disaster Relief Programs
About Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Become Your Best | *************
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant **************************************************************************
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $135,000 - $185,000.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
$135k-185k yearly 3d ago
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Software Engineer - Reliability
Pantera Capital
Devops engineer job in Palo Alto, CA
About xAI
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
About the Role
We are seeking a talented Site Reliability Engineer (SRE) to join our SuperComputing team. In this role, you'll ensure the reliability, scalability, and performance of our high-performance computing (HPC) infrastructure, powering cutting-edge AI research. You'll collaborate with cross-functional teams to build and maintain systems that support massive-scale data processing and model training. You\'ll ensure Grok stays reliable for millions while inventing new approaches at the intersection of SRE and cutting-edge AI to help define the future of AI reliability engineering.
What You'll Do
Design, implement, and maintain robust, scalable infrastructure for supercomputing environments.
Monitor and optimize system performance, ensuring high availability and minimal downtime.
Develop automation tools and scripts to streamline operations and improve system reliability.
Troubleshoot complex issues across distributed systems, networks, and storage solutions.
Collaborate with AI researchers and engineers to support compute-intensive workloads.
Implement security best practices to protect sensitive data and infrastructure.
Contribute to capacity planning and disaster recovery strategies.
Participate in an on-call rotation to ensure 24/7 system reliability.
Ideal Experiences
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
3+ years of experience in site reliability engineering, DevOps, or systems engineering.
Proficiency in Linux system administration and scripting (e.g., Python, Bash).
Experience with containerization (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure).
Strong understanding of networking, distributed systems, and storage technologies.
Familiarity with HPC environments, GPU clusters, or large-scale data processing.
Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
Strong communication skills and a collaborative mindset.
Bonus: Experience with Infrastructure as Code (e.g., Terraform, Ansible) or monitoring tools (e.g., Prometheus, Grafana).
Location
This role is based in the Bay Area (San Francisco and Palo Alto). Candidates are expected to be located near the Bay Area or open to relocation.
Tech Stack
Languages: Rust, Python, C++, Golang
Interview Process
Application Review: Submit your CV and a statement of exceptional work. Our team will review your application to assess fit.
Phone Interview (45 minutes): A brief conversation with a team member to discuss your background, key accomplishments, and motivation.
Main Interview Process
1 Coding assessment: Solve problems in Rust, Python, C++, or Golang
1 Skill Specific Technical Interview: Demonstrate practical skills in a live problem-solving session.
1 SRE/System Case Study: Analyze and solve a complex, real-world system design or operational problem, demonstrating your technical expertise, problem-solving skills, and ability to optimize system reliability and performance.
Project Deep-Dive: Present your past exceptional work to a small audience.
Annual Salary Range
$180,000 - $440,000 USD
Benefits
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer.
California Consumer Privacy Act (CCPA) Notice
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$106k-150k yearly est. 1d ago
Senior AIML & Information Retrieval Engineer
Apple Inc. 4.8
Devops engineer job in Santa Clara, CA
A leading technology company in Santa Clara is seeking a Machine Learning Engineer to shape upcoming products. You will develop models for information retrieval and collaborate on user-facing services like Siri and Safari. The ideal candidate has over 5 years of experience in machine learning with strong programming skills in languages such as Python, C++, or Java. This role offers competitive pay and comprehensive benefits.
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$142k-181k yearly est. 2d ago
ML Engineer & Economist - Ads Marketplace Innovation
Pinterest 4.6
Devops engineer job in Palo Alto, CA
A leading social media platform in Palo Alto is seeking a Machine Learning Engineer/Economist to enhance the efficiency of its marketplace. The ideal candidate should possess a degree in a relevant field and have experience in data analysis and machine learning. This role involves building statistical models and driving cross-functional collaboration. A competitive salary range from $177,309 to $310,291 is offered, along with potential equity benefits.
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$177.3k-310.3k yearly 3d ago
Staff Software Engineer
Storm3
Devops engineer job in San Jose, CA
💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG)
📋 GenAI Healthcare
📍 Hybird in SF
💸 Competitive base + hefty bonus
We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform empowers physicians with AI-driven copilots, enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals across 300,000 facilities. The company brings together top healthcare and technology experts, operators, and leading clinical advisors to drive innovation in precision medicine.
We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on Retrieval-Augmented Generation (RAG), knowledge systems, and AI-native backend architectures.
This role is ideal for a senior technical leader who has designed and productionized LLM systems, worked with clinical, healthcare, or healthtech data, and can operate at both architectural and implementation depth. You will play a critical role in shaping the AI platform that powers clinician-facing copilots and decision-support tools, while ensuring correctness, safety, scalability, and regulatory compliance.
Responsibilities:
LLM & RAG System Architecture
Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows.
Architect knowledge retrieval systems that combine structured and unstructured clinical data (guidelines, policies, patient context, claims, formularies, etc.).
Healthcare & Clinical AI Applications
Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements.
Partner closely with clinical, product, and data science teams to translate real-world clinical workflows into reliable AI-driven experiences.
AI Platform & Backend Engineering
Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management.
Implement fault-tolerant, secure, and high-availability systems capable of operating at healthcare scale.
Evaluation, Safety & Quality
Lead the design of LLM evaluation frameworks (hallucination detection, grounding, faithfulness, latency, cost, and clinical relevance).
Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals.
Technical Leadership & Mentorship
Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy.
Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality.
Cross-Functional Collaboration
Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives.
Minimum Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10+ years of professional software engineering experience, with 3+ years working directly with LLM-based systems in production environments.
Hands-on experience designing and deploying RAG architectures, including embeddings, vector databases, retrieval strategies, and prompt orchestration.
Strong proficiency in Python and experience with modern backend stacks (REST/gRPC APIs, async systems, microservices).
Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data.
Proven ability to design systems that are scalable, secure, observable, and maintainable.
Preferred Qualifications:
Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets.
Familiarity with LLM evaluation tooling and frameworks (e.g., RAGAS, custom eval pipelines, automated and human feedback loops).
Experience with cloud-native architectures (preferably Azure) and containerized deployments.
Knowledge of data privacy, governance, and security best practices in healthcare environments.
Experience influencing technical direction at Staff or Principal scope across multiple teams or systems.
Benefits:
Competitive salary and performance-based bonuses.
Opportunities for professional growth and leadership in a rapidly scaling AI-native healthcare company.
Collaborative, mission-driven work environment with top-tier clinical and technical talent.
Opportunity to build cutting-edge AI systems with real-world clinical impact.
📧 Interested in applying? Please click on the ‘Easy Apply' button
$130k-184k yearly est. 3d ago
Staff Simulation Software Engineer
Strativ Group
Devops engineer job in San Jose, CA
Location: San Jose (full time onsite)
Engagement: Contract (1099 or W2)
Duration: 6-12 months FTE conversion thereafter.
Hourly rate: The focus is on finding the right person, therefore open to market rate.
Overview
In this senior leadership capacity, you will spearhead the engineering of sophisticated flight emulation platforms designed for rigorous system certification and pilot-interaction studies. You will be responsible for modernizing deployment workflows through automated integration cycles and partnering with multidisciplinary teams to synchronize physical components within synchronized, real-time testing frameworks. By overseeing the full lifecycle of virtualized environments-ranging from component-level benches to full-scale "Iron Bird" rigs-you will ensure simulation accuracy by reconciling digital outputs with empirical data from live flight operations. Beyond the technical architecture, you will define the UI strategy for simulation control, manage the resolution of intricate distributed system anomalies, and cultivate a culture of elite technical mentorship and strategic project execution.
Requirements:
Expert experience in simulation software development and systems integration.
Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field.
Seasoned technical lead for an engineering team; providing guidance in planning and execution. Advanced proficiency in C/C++ and Python.
Expert in MATLAB/Simulink and Python.
Extensive experience developing real-time HIL test infrastructures.
Proven ability to develop simulation tools with a focus on usability, modularity, and performance.
Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…)
Experience prototyping Graphical User Interfaces based on user feedback.
Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies.
Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset.
Comfortable working in cross-disciplinary teams and mentoring junior engineers.
Preferred Qualifications
Experience with aerospace, spacecraft, or robotics systems-including modeling of flight dynamics, sensor-actuator loops, or avionics.
Proficiency in the NI software suite (LabVIEW, VeriStand).
Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS
Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles.
Understanding of control theory, GNC algorithms, and physics-based modeling.
Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation.
Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments.
Startup or fast-paced development experience is a plus.
Experience automating and executing test plans.
Familiarity with fault injection methodologies.
Familiarity with lab
$130k-184k yearly est. 2d ago
ML Engineer: Fraud Detection & Big Data at Scale
Datavisor 4.5
Devops engineer job in Mountain View, CA
A leading security technology firm in California is seeking a skilled Data Science Engineer. You will harness the power of unsupervised machine learning to detect fraudulent activities across various sectors. Ideal candidates have experience with Java/C++, data structures, and machine learning. The company offers competitive pay, flexible schedules, equity participation, health benefits, a collaborative environment, and unique perks such as catered lunches and game nights.
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$125k-177k yearly est. 4d ago
Full Stack Software Engineer (Python / React)
Arrayo
Devops engineer job in San Jose, CA
We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric.
Responsibilities
Architect, build, and maintain backend services using Python (FastAPI, Flask, Django)
Design and implement dynamic and responsive frontends using React.js and/or Vue.js
Create and consume RESTful and GraphQL APIs
Build reusable components and libraries for frontend use
Collaborate across teams to gather requirements, define solutions, and ensure quality
Optimize performance and scalability of applications
Write unit, integration, and end-to-end tests across the stack
Participate in peer code reviews and provide mentorship where appropriate
Required Qualifications
5+ years of experience in full stack development
M.S. degree in relevant domain required
Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django)
Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand)
Experience with Vue.js or interest in working across multiple frontend frameworks
Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint
Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design
Strong understanding of RESTful services, API security, and performance optimization
Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis)
Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI)
Strong communication skills and a collaborative approach to engineering
Preferred Qualifications
Familiarity with TypeScript
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with Docker, Kubernetes, or container orchestration
GraphQL and Apollo Client experience
Familiarity with microservice architecture
Experience working with real-time data (WebSockets, MQTT)
$106k-150k yearly est. 2d ago
Senior ML Engineer (Level 5) - Deploy & Scale Models
Minimal
Devops engineer job in Palo Alto, CA
A leading technology company in Palo Alto is seeking a Machine Learning Engineer to build and deploy models for core products. Responsibilities include applying modern ML techniques and collaborating with teams to launch innovative features. Ideal candidates possess a strong background in machine learning with 5+ years of experience, along with proficiency in frameworks like TensorFlow and PyTorch. This position offers competitive salary and equity opportunities, with a focus on workplace diversity and support.
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$116k-157k yearly est. 1d ago
Senior Software Engineer
Metric Bio
Devops engineer job in Menlo Park, CA
We're partnering with a fast-growing healthcare AI company building production-grade software that connects advanced machine-learning models directly into real clinical workflows. This role sits at the intersection of full-stack engineering, cloud infrastructure, and data-intensive systems supporting clinician-facing applications.
You'll work on systems that handle voice-driven clinical documentation, structured report generation, and backend services that operate at scale in a regulated environment.
What You'll Work On:
Build and operate full-stack services supporting clinician workflows and AI-powered applications
Develop systems that transform voice dictation and model outputs into structured clinical reports
Create workflows for drafting, editing, and final clinician sign-off
Design and maintain low-latency, scalable backend services in the cloud
Work with large volumes of structured and unstructured data, including metadata and model outputs
Partner closely with machine-learning and infrastructure teams to bring inference into production
Own services end-to-end: design, implementation, deployment, and ongoing reliability
What We're Looking For:
Demonstrated ability to build and ship full-stack systems in production environments
Experience designing, deploying, and operating cloud-based services (AWS preferred)
Comfort owning API-driven, data-intensive systems
Experience working with distributed systems and production reliability concerns
Familiarity with a modern backend stack, such as:
AWS (e.g., EC2, S3, ECS/EKS, IAM, monitoring/logging tools)
Python-based backend services (e.g., FastAPI or similar frameworks)
Relational databases (e.g., PostgreSQL or equivalent)
Strong ownership mindset and sound engineering judgment
This team is not credential-driven - they value clear evidence of impact, technical depth, and the ability to own complex systems.
Nice to Have:
Experience with report generation, document workflows, or structured text pipelines
Exposure to ML inference pipelines or AI-powered production systems
Background working in healthcare or other regulated environments
$118k-164k yearly est. 3d ago
Systems Software Engineer
Sunbelt Controls 3.3
Devops engineer job in Pleasanton, CA
Now Hiring: Systems Software Engineer II
📍
Pleasanton, CA
| 💰
$108,000 - $135,000 per year
🏢 About the Role
We're looking for an experienced Systems Software Engineer II to join Sunbelt Controls, a leading provider of Building Automation System (BAS) solutions across the Western U.S.
In this role, you'll develop and program databases, create custom graphics, and integrate control systems for smart buildings. You'll also support project startups, commissioning, and troubleshooting - working closely with project managers and engineers to deliver high-quality, energy-efficient building automation solutions.
If you have a passion for technology, problem-solving, and helping create intelligent building systems, this opportunity is for you.
⚙️ What You'll Do
Design and program BAS control system databases and graphics for assigned projects.
Lead the startup, commissioning, and troubleshooting of control systems.
Work with networked systems and diagnose LAN/WAN connectivity issues.
Perform pre-functional and functional system testing, including LEED and Title 24 requirements.
Manage project documentation, including as-builts and commissioning records.
Coordinate with project teams, subcontractors, and clients for smooth execution.
Mentor and support junior Systems Software Engineers.
🧠 What We're Looking For
2-5 years of experience in Building Automation Systems or a related field.
Associate's degree in a technical field (Bachelor's in Mechanical or Electrical Engineering preferred).
Proficiency in MS Office, Windows, and basic TCP/IP networking.
Strong organizational skills and the ability to manage multiple priorities.
Excellent communication and customer-service skills.
Valid California driver's license.
💎 Why You'll Love Working With Us
At Sunbelt Controls, we don't just build smart buildings - we build smart careers. As a 100% employee-owned company (ESOP), we offer a supportive, growth-oriented environment where innovation and teamwork thrive.
What we offer:
Competitive salary: $108K - $135K, based on experience
Employee-owned company culture with a family-oriented feel
Comprehensive health, dental, and vision coverage
Paid time off, holidays, and 401(k)/retirement plan
Professional growth, mentorship, and ongoing learning opportunities
Veteran-friendly employer & Equal Opportunity workplace
🌍 About Sunbelt Controls
Sunbelt Controls is a premier BAS solutions provider serving clients across multiple industries, including data centers, healthcare, education, biotech, and commercial real estate. We specialize in smart building technology, system retrofits, analytics, and energy efficiency - helping clients reduce operational costs and achieve sustainable performance.
👉 Apply today to join a team that's shaping the future of intelligent buildings.
#Sunbelt #BuildingAutomation #SystemsEngineer #HVACControls #BASCareers
$108k-135k yearly 21h ago
ML Data Engineer: Systems & Retrieval for LLMs
Zyphra Technologies Inc.
Devops engineer job in Palo Alto, CA
A leading AI technology company based in Palo Alto, CA is seeking a Machine Learning Data Engineer. You will build and optimize the data infrastructure for our machine learning systems while collaborating with ML engineers and infrastructure teams. The ideal candidate has a strong engineering background in Python, experience in production data pipelines, and a deep understanding of distributed systems. This role offers comprehensive benefits, a collaborative environment, and opportunities for innovative contributions.
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Applied SciML (Scientific Machine Learning) Engineer
Santa Clara, United States | Posted on 10/16/2025
Role: Applied SciML (Scientific Machine Learning) Engineer
MUST HAVE: Job Description
We're looking for an engineer with deep expertise in scientific machine learning and computational geometry to build production ML systems for physical simulation data.
Requirements
Core Deep Learning Experience (3+ years)
Hands‑on deep learning training with scientific datasets: CAD geometries, CFD simulations, or similar physical data
End‑to‑end model development: data preparation, training, hyper‑parameter tuning
Multi‑GPU training and GPU memory optimization
PyTorch and PyTorch Lightning proficiency
Technical Depth
Demonstrated experience (via publications in top venues or 3+ years industry experience) in one or both areas:
Computational Geometry: PointNet, DGCNN, TripNet, MeshGPT, or similar geometric deep learning architectures
Scientific ML: PINNs, DeepONet, FNO, Transformers for physics, SCoT, Poseidon, or related physics‑informed models
Evidence of impact - publications in leading ML/computational science conferences/journals or a proven track record building SciML systems in industry
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$95k-137k yearly est. 3d ago
Application Specific Integrated Circuit Verification Engineer
ACL Digital
Devops engineer job in San Jose, CA
We're looking for a skilled GPU Design Verification Engineer to help ensure the quality and correctness of our low-power GPU architecture.
Requirements
BS in CE/EE (or equivalent) with 5+ years in design verification
Strong experience in SystemVerilog, UVM/OVM, and constrained-random verification
Proficiency in OOP/C++ and scripting (Python/Perl)
Solid understanding of micro-architecture, FSMs, and datapath pipelines
$107k-145k yearly est. 21h ago
MEP Systems Engineer
Samara 3.4
Devops engineer job in Redwood City, CA
Ready to play a key role in building the future of living? Join Samara in tackling California's housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we're at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact.
To support our next phase of growth, we're hiring product-focused engineers to advance and scale the technical foundation of our modular system. These roles go beyond traditional design work-they refine system standards, improve factory repeatability, and ensure our units are code-compliant, manufacturable, and built to the highest standards of quality and performance.
The MEP Systems Engineer will be responsible for the detailed design and implementation of mechanical, electrical, plumbing, and PV systems tailored for modular construction building systems. This role requires a deep understanding of MEP systems combined with practical experience in modular construction. You will collaborate closely with leadership, crossfunctional design and engineering teams to integrate all technical and user experience requirements into our designs to ensure optimal functionality, sustainability, and compliance with all regulations.
What You'll Do
Design and develop integrated MEP systems for our new and existing designs including solar energy systems, including PV and ESS, optimized for prefabricated modular construction
Ensure that solar and energy storage designs align with overall MEP system functionality and building energy requirements
Lead the creation of comprehensive design documents, schematics, component material selections and system layouts, preferably using CAD and BIM software
Provide technical leadership during the installation and commissioning phases to ensure systems meet design specifications and performance standards
Conduct system testing and validation to ensure functionality, efficiency, and safety of both MEP and PV installations
Collaborate closely with installation teams to facilitate seamless and efficient factory and onsite implementation of design
Engage in research and application of the latest technologies and practices in renewable energy and modular construction
Work with program managers and other engineering disciplines to ensure holistic integration of all systems within Samara modular units
What We're Looking For
Modular construction experience in factory builds, multi-mod, stackable and/or other hands on related experience.
Licensed Electrician or Mechanical Contractor -and/or- Bachelor's degree in Mechanical, Electrical, or Energy Systems Engineering, or a related field
Professional Engineering (PE) license preferred
Minimum of 7 years of experience in one of the following: Mechanical, Electrical, Solar and/or Plumbing System design
Comprehensive knowledge of building codes, safety regulations, and sustainability practices relevant to MEP and renewable energy systems
Proficiency in design software such as Onshape, Revit, and/or other BIM methodologies preferred
Excellent problem-solving skills and the ability to adapt designs to changing technological and regulatory landscapes
Strong communication and leadership skills, capable of driving project decisions and managing complex stakeholder relationships
Ability to travel to our factory in Mexico up to 25-40%.
What We Offer
Salary range of $120-160K and performance-based bonuses.
Hybrid work schedule with 3 days each week in our Redwood City office.
Snacks and Lunch on in-office days
Early stage employee equity.
Exceptional health, dental, and vision insurance.
401k eligibility after 6 months.
Flexible PTO policy.
How to Apply
If you're excited to support Samara's mission and have the skills to match, we'd love to hear from you. Please submit your resume and a brief letter of introduction to our team.
Let's build something extraordinary-together.
$120k-160k yearly 2d ago
Telecom Voice Systems Engineer--Bay Area (on-site visits to 9 City and County offices required)--Contract
Okaya Infocom
Devops engineer job in Fremont, CA
Title: Telecom Voice Systems Engineer
Duration: Contract On 24 months, with one option to extend up to 8 months (through December 2028)
Job Description:
Bottom Line
This role is ideal for a Senior-level Unified Communications Engineer with proven experience leading Avaya-to-VoIP migrations, who thrives in high-visibility, public-sector consulting engagements and can confidently own complex, multi-department implementations.
Project Overview
The City and County of San Francisco is undertaking a large-scale, multi-year telecommunications modernization initiative to transition more than 100 legacy Avaya PBX systems to modern Voice over IP (VoIP) and Unified Communications platforms. These legacy systems are no longer vendor-supported, suffer from frequent outages, and present operational risk due to single points of failure.
This initiative spans multiple City departments and supports a range of modern VoIP solutions, including:
Microsoft Teams VoIP
Cisco VoIP
Webex Soft Phones
Webex Calling (Cloud)
Webex Contact Center
The Department of Technology leads solution selection and implementation, ensuring continuity of service, operational resilience, and a seamless transition for City staff and residents. This role plays a critical part in delivering a reliable, secure, and future-ready voice infrastructure across City operations.
Position Summary
The City is seeking one (1) Expert Telecom Voice Systems Engineer to provide project-based technical leadership and hands-on expertise supporting the migration from legacy Avaya PBX systems to modern VoIP platforms.
This is a consulting and implementation role, focused on migration, integration, cutover, validation, and transition activities. It is not an operational or day-to-day support position.
Key Responsibilities
Provide technical leadership and hands-on support for migrations from Avaya PBX to Microsoft Teams VoIP, Cisco VoIP, Webex Soft Phones, and Webex Calling (Cloud).
Design, configure, and validate VoIP solutions, including call routing, voicemail, caller ID, endpoint registration, and E911 functionality.
Support Webex Contact Center deployments and integrations with enterprise platforms such as Salesforce, ServiceNow, Calabrio, and Webex AI Agent.
Conduct site walkthroughs, inventory voice endpoints, and assist with phone placement and cutover planning.
Perform VoIP readiness assessments, including network dependencies, endpoint provisioning, and desktop client configuration.
Provide cutover and post-cutover support, including troubleshooting and issue resolution.
Develop technical documentation and deliver training to City administrative staff and end users.
Collaborate closely with City networking, infrastructure, and departmental stakeholders to ensure successful implementations.
Support change-management activities to minimize service disruption during migrations.
Stay current on industry best practices and emerging unified communications technologies.
Required Experience
Hands-on experience supporting Microsoft Teams VoIP and Cisco Unified Communications in production environments.
Demonstrated experience participating in or leading large-scale VoIP migration projects, including legacy PBX environments.
Experience supporting or integrating Webex Contact Center solutions in large enterprise or public-sector environments.
Experience migrating from Avaya Communication Manager to modern VoIP platforms.
Consulting or implementation experience in complex, multi-stakeholder environments.
Required Qualifications
5+ years of experience supporting Microsoft Teams and Cisco Unified Communications environments.
Strong knowledge of Microsoft Teams administration and troubleshooting.
Proficiency with Cisco Unified Communications Manager (CUCM) and related technologies.
Familiarity with Avaya Communication Manager administration and implementation.
Excellent written and verbal communication skills.
Strong analytical and problem-solving abilities.
Ability to work independently while collaborating effectively with cross-functional teams.
Technical Skill Set
VoIP & Telephony: SIP, enterprise telephony, voicemail, E911.
Networking Fundamentals: IP addressing, routing, QoS, and network security.
Microsoft Teams: Architecture, Direct Routing, and Microsoft 365 integration.
Cisco Systems: CUCM, Cisco VoIP, collaboration technologies.
Avaya Systems: Legacy PBX environments and migration support.
Preferred Certifications
Microsoft
Microsoft Certified: Teams Administrator Associate
Microsoft Certified: Microsoft 365 Enterprise Administrator Expert
Cisco
CCNA or CCNP
Cisco Certified Specialist - Collaboration
AudioCodes
AudioCodes Certified Professional (ACP) or equivalent (SBCs, media gateways, Teams Direct Routing)
Additional
CompTIA Network+
ITIL Foundation
Minimum Qualification Requirements (Mandatory)
Minimum 3-5 years of experience migrating from Avaya to Microsoft Teams VoIP
Minimum 3-5 years of experience migrating from Avaya to Cisco VoIP
Submission of one (1) resume/CV for the proposed resource
Completed City-provided price proposal documentation
Key Project Tasks (Selected)
Task 1: Webex Contact Center Integrations
Gather and document departmental requirements.
Design, implement, and validate integrations with Salesforce, ServiceNow, Calabrio, and Webex AI Agent.
Train City staff on integrated workflows and systems.
Task 2: City Hall Avaya-to-VoIP Migration
Support major departments including the Mayor's Office, Board of Supervisors, City Attorney, Controller, and Emergency Management.
Perform readiness assessments, phone inventories, floorplan layouts, and cutover planning.
Execute go-live events and provide post-cutover support.
Configure Teams clients, hardphones, VLANs, call routing, voicemail, and E911 services.
$86k-120k yearly est. 2d ago
Sr. DevOps Engineer - AWS
Sogeti 4.7
Devops engineer job in San Jose, CA
Location: San Francisco/Bay Area; must work PST hours. The team spends a few days in office each month.
About the Role: We are seeking a seasoned Sr. DevOpsEngineer to join Sogeti and help deliver cutting-edge cloud and automation solutions. This role focuses on designing and implementing secure, scalable DevOps practices across AWS environments, enabling continuous integration and deployment for enterprise-grade applications.
What You Will Do at Sogeti
Develop and implement DevOps strategies for deployment, scaling, and automation across AWS environments.
Build and optimize CI/CD pipelines with integrated automated testing using AWS CodeBuild and CodePipeline.
Manage containerized workloads leveraging Docker, Kubernetes, and Amazon ECS.
Configure and maintain AWS infrastructure, including RDS instances, multi-environment setups, and compliance monitoring.
Collaborate with development and QA teams during release cycles and troubleshoot production issues.
Apply best practices for cloud security and data protection across application, network, and infrastructure layers.
Oversee Cloudflare updates and database operations to ensure performance and security.
What You Will Bring
Proven experience implementing AWS cloud infrastructure and delivering end-to-end solutions.
Proficiency in scripting languages such as JavaScript, Bash, or Python.
Expertise in Infrastructure as Code using CloudFormation or Terraform.
Hands-on experience with container technologies (Docker, Kubernetes, ECS).
Strong knowledge of CI/CD methodologies, DevSecOps practices, and Git workflows.
Ability to secure systems across all layers and familiarity with security protocols (HTTPS, TLS, PKI, OAuth).
Experience managing AWS RDS instances, including secure configurations, monitoring, and backup strategies.
Preferred Skills
Experience with Cloudflare and Bitbucket.
Familiarity with building and deploying Node.js applications.
Knowledge of monitoring tools such as CloudWatch, Splunk, Datadog, and X-Ray.
Understanding of GDPR and CCPA compliance requirements.
Exposure to scaling applications across multiple geographies.
High-level AI usage in day-to-day activities.
Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field.
Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work options
401(k) with 150% match up to 6%
Employee Share Ownership Plan
Medical, Prescription, Dental & Vision Insurance
Life Insurance
100% Company-Paid Mobile Phone Plan
3 Weeks PTO + 7 Paid Holidays
Paid Parental Leave
Adoption, Surrogacy & Cryopreservation Assistance
Subsidized Back-up Child/Elder Care & Tutoring
Career Planning & Coaching
$5,250 Tuition Reimbursement & 20,000+ Online Courses
Employee Resource Groups
Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
Disaster Relief Programs
About Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Become Your Best | *************
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant **************************************************************************
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $135,000 - $185,000.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
$135k-185k yearly 3d ago
Staff Software Engineer
Storm3
Devops engineer job in Fremont, CA
💻 Staff / Principal Software Engineer - AI Platform (LLMs & RAG)
📋 GenAI Healthcare
📍 Hybird in SF
💸 Competitive base + hefty bonus
We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform empowers physicians with AI-driven copilots, enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals across 300,000 facilities. The company brings together top healthcare and technology experts, operators, and leading clinical advisors to drive innovation in precision medicine.
We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on Retrieval-Augmented Generation (RAG), knowledge systems, and AI-native backend architectures.
This role is ideal for a senior technical leader who has designed and productionized LLM systems, worked with clinical, healthcare, or healthtech data, and can operate at both architectural and implementation depth. You will play a critical role in shaping the AI platform that powers clinician-facing copilots and decision-support tools, while ensuring correctness, safety, scalability, and regulatory compliance.
Responsibilities:
LLM & RAG System Architecture
Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows.
Architect knowledge retrieval systems that combine structured and unstructured clinical data (guidelines, policies, patient context, claims, formularies, etc.).
Healthcare & Clinical AI Applications
Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements.
Partner closely with clinical, product, and data science teams to translate real-world clinical workflows into reliable AI-driven experiences.
AI Platform & Backend Engineering
Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management.
Implement fault-tolerant, secure, and high-availability systems capable of operating at healthcare scale.
Evaluation, Safety & Quality
Lead the design of LLM evaluation frameworks (hallucination detection, grounding, faithfulness, latency, cost, and clinical relevance).
Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals.
Technical Leadership & Mentorship
Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy.
Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality.
Cross-Functional Collaboration
Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives.
Minimum Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10+ years of professional software engineering experience, with 3+ years working directly with LLM-based systems in production environments.
Hands-on experience designing and deploying RAG architectures, including embeddings, vector databases, retrieval strategies, and prompt orchestration.
Strong proficiency in Python and experience with modern backend stacks (REST/gRPC APIs, async systems, microservices).
Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data.
Proven ability to design systems that are scalable, secure, observable, and maintainable.
Preferred Qualifications:
Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets.
Familiarity with LLM evaluation tooling and frameworks (e.g., RAGAS, custom eval pipelines, automated and human feedback loops).
Experience with cloud-native architectures (preferably Azure) and containerized deployments.
Knowledge of data privacy, governance, and security best practices in healthcare environments.
Experience influencing technical direction at Staff or Principal scope across multiple teams or systems.
Benefits:
Competitive salary and performance-based bonuses.
Opportunities for professional growth and leadership in a rapidly scaling AI-native healthcare company.
Collaborative, mission-driven work environment with top-tier clinical and technical talent.
Opportunity to build cutting-edge AI systems with real-world clinical impact.
📧 Interested in applying? Please click on the ‘Easy Apply' button
$131k-185k yearly est. 3d ago
Full Stack Software Engineer (Python / React)
Arrayo
Devops engineer job in Fremont, CA
We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric.
Responsibilities
Architect, build, and maintain backend services using Python (FastAPI, Flask, Django)
Design and implement dynamic and responsive frontends using React.js and/or Vue.js
Create and consume RESTful and GraphQL APIs
Build reusable components and libraries for frontend use
Collaborate across teams to gather requirements, define solutions, and ensure quality
Optimize performance and scalability of applications
Write unit, integration, and end-to-end tests across the stack
Participate in peer code reviews and provide mentorship where appropriate
Required Qualifications
5+ years of experience in full stack development
M.S. degree in relevant domain required
Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django)
Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand)
Experience with Vue.js or interest in working across multiple frontend frameworks
Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint
Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design
Strong understanding of RESTful services, API security, and performance optimization
Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis)
Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI)
Strong communication skills and a collaborative approach to engineering
Preferred Qualifications
Familiarity with TypeScript
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with Docker, Kubernetes, or container orchestration
GraphQL and Apollo Client experience
Familiarity with microservice architecture
Experience working with real-time data (WebSockets, MQTT)
$106k-150k yearly est. 2d ago
SRE Cybersecurity Engineer - Scale Systems (Equity)
Pantera Capital
Devops engineer job in Palo Alto, CA
A tech-focused financial services firm in California is seeking a Cybersecurity/SRE professional to secure and maintain the reliability of its infrastructure. Responsibilities include building secure applications on AWS, managing identities, and strengthening Kubernetes security. The ideal candidate has expertise in Python, Terraform, and large distributed systems, and holds a proactive, problem-solving mindset. Competitive salary and comprehensive benefits included.
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How much does a devops engineer earn in Mountain View, CA?
The average devops engineer in Mountain View, CA earns between $97,000 and $176,000 annually. This compares to the national average devops engineer range of $80,000 to $135,000.
Average devops engineer salary in Mountain View, CA
$131,000
What are the biggest employers of Devops Engineers in Mountain View, CA?
The biggest employers of Devops Engineers in Mountain View, CA are: