Devops engineer jobs in Fremont, CA - 10,161 jobs

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. DevOps Engineer 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.

The Skywalker Sound Development Group is seeking a highly skilled Sr ML Ops Engineer to build and maintain the infrastructure powering our machine learning and AI frameworks. This position is crucial in enabling seamless workflows for model training, retraining, and deployment, ensuring that cutting‑edge AI solutions operate reliably at scale. As a Sr ML Ops Engineer, you will act as the backbone of our AI/ML efforts, bridging the gap between data science, research, and production engineering. Your expertise in DevOps principles, model deployment strategies, and scalable infrastructure will support the development of transformative audio solutions for speech processing, style transfer, and source separation in media production workflows. This role is considered Hybrid, which means the employee will work 2‑3 days onsite at our Nicasio, CA office and occasionally from home. What You'll Do: Develop, deploy, and maintain scalable infrastructure for machine learning model training, retraining, and inference. Design and optimize CI/CD pipelines specifically tailored for machine learning workflows, ensuring efficient delivery from research to production. Implement robust monitoring and logging systems to track model performance and identify potential issues in production environments. Collaborate with AI researchers and data scientists to ensure infrastructure aligns with project requirements and supports iterative experimentation. Manage compute resources (cloud and on‑premises) to enable large‑scale distributed training and inference tasks. Containerize machine learning models and applications using Docker and deploy them via Kubernetes or equivalent orchestration systems. Automate deployment workflows for serving ML models using frameworks such as TorchServe, TensorFlow Serving and FastAPI. Implement model versioning, rollback strategies, and governance for maintaining production stability. Optimize cost efficiency and performance of machine learning workflows in cloud environments such as AWS, GCP, or Azure. Stay updated with emerging ML Ops tools and practices, integrating them into existing workflows to improve performance and reliability. What We're Looking For: Bachelor's in Computer Science, Engineering, or a related field. Master's Degree is preferred. 5+ years of experience in DevOps, Site Reliability Engineering, or a related role, with at least 2+ years focusing on ML Ops. Expertise in building and maintaining CI/CD pipelines for machine learning applications. Strong proficiency with containerization (Docker) and orchestration tools (Kubernetes). Proficiency in deploying machine learning models using frameworks such as TensorFlow Serving, TorchServe, or custom APIs. Deep understanding of cloud infrastructure and services (AWS, GCP, or Azure) for ML workloads, including GPUs and TPU utilization. Experience managing large‑scale distributed training workflows and optimizing resource allocation. Familiarity with tools like MLflow, DVC, Weight+Biases, or similar for data and model tracking and versioning. Solid understanding of security best practices for machine learning systems and sensitive data handling. Strong scripting and programming skills in Python, Bash, or Go. Preferred Qualifications: Experience with data orchestration tools such as DataChain, Weights and Biases, etc, for managing ML workflows. Hands‑on experience with automated hyperparameter tuning and optimization frameworks. Familiarity with model monitoring tools such as Prometheus, Grafana, or custom solutions for model drift and data quality checks. Experience integrating pre‑trained foundational models and managing their deployment at scale. Contributions to open‑source ML Ops projects or relevant research publications. The hiring range for this position in San Francisco, CA is $155,400 to $208,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #J-18808-Ljbffr

A pioneering tech startup in San Francisco is seeking a Founding Deployment Engineer. You will manage the entire technical sales lifecycle, ensuring customer success through direct engagement and innovative solutions. The ideal candidate has over 8 years of experience in a similar role and strong coding skills in Python or JavaScript. Join us to build impactful products and enjoy a flexible, remote-first culture with growth opportunities. #J-18808-Ljbffr

A leading technology company in San Francisco is looking for adaptable field engineers to install and troubleshoot innovative systems. This role combines outdoor work and technical challenges, making it ideal for those with experience in high-stakes environments like military or trades. You'll contribute to cutting-edge technology while ensuring systems run smoothly and meet regulatory requirements. Competitive compensation and benefits are offered as part of this mission-driven opportunity. #J-18808-Ljbffr

Aircall is a unicorn AI‑powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We're redefining what a customer communications platform can be-by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer‑facing team work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post‑call tasks, and AI Assist Pro delivers real‑time guidance that helps people do their best work. The result-companies grow revenue, deliver faster resolutions, and scale service. We've built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world‑class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you'll join a company in motion-ambitious, profitable, and product‑driven-where impact is visible, decisions are fast, and growth is real. How We Work at Aircall At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast‑paced, team‑driven environment where curiosity, trust, and impact matter, you'll fit right in. About the Team Aircall's Forward Deployed Engineering team connects our innovative AI Agents technology to real‑world SMB workflows. We turn possibility into production-delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross‑functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands‑on role at the intersection of technical consulting, project leadership, and AI adoption strategy. You don't need to be a full‑time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates. About the Role As a Forward‑Deployed Engineer, you'll own the end‑to‑end delivery of technically sound, low‑code AI solutions for Aircall customers. You'll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You'll also play a key role in driving team upskilling, building reusable frameworks, and leading cross‑functional initiatives that improve how Aircall deploys AI at scale. This is a hands‑on role where you'll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall's platform and accelerate adoption. What you'll do Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture. Design, build, and deploy integrations using low/no‑code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors. Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements. Configure and optimize the AI Agent - defining intents, prompts, actions, guardrails, and performance metrics. Manage complex, cross‑functional deployments - defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope. Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent. Champion continuous learning and enablement - train peers, run internal workshops, and document best practices to raise the technical bar across the team. Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team. Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking. Own regional top‑line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add‑on quotas. Act as an internal product owner within the GTM function-defining product‑specific MRR strategies, coordinating cross‑functional support, and ensuring Aircall delivers the leading AI‑enabled communication platform. Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings. Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners. Maintain deep awareness of AI and CX industry trends, ensuring Aircall's positioning remains competitive and insights continuously feed back into product and GTM strategies. What you'll bring 5-8 years in technical consulting, solutions engineering, or integration‑focused project management. Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) - able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers. Hands‑on experience with low‑code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce). Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring. Proven ability to lead cross‑functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes. Excellent communication and stakeholder management skills, translating between technical and business audiences. A growth mindset - constantly learning new tools, frameworks, and ways to improve the customer experience and team capability. Nice‑to‑haves Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT). Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake). Exposure to scripting (JavaScript/Python) for light customization and debugging. What Success Looks Like Consistent delivery of high‑quality, scalable AI Agent deployments with clear business outcomes. Shortened time‑to‑first‑value and increased automation adoption across SMB customers. Reusable frameworks, models, and templates actively used by peers and partners. Strong collaboration with Engineering and Product to enhance platform capabilities. Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence. Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions. $11,000 - $115,000 a year This base range is not including a quarterly bonus, equity, and other benefits. The maximum OTE for this role is 190K, including a 75K bonus. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience. Why This Role is Unique This is a role for builders, connectors, and enablers. You'll be at the intersection of AI innovation, customer experience, and scalable delivery - combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall's internal capability to deploy AI faster and smarter. If you're motivated by making cutting‑edge technology accessible and impactful - while continuously learning and helping others do the same - this is the perfect next step in your career. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities 💆♀️ Our people matter, work‑life balance is important at Aircall 📚 Fast‑learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi‑cultural mindset 💵 Competitive salary package & equity 🏨 Medical, dental, and vision insurance is 100% covered 📈401k plan with company matching! ✈️Unlimited PTO - take the time you need to come to work feeling great! ⭐️Wellness, commuter, and childcare reimbursements 💚Generous parental leave policy DE&I Statement At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. #J-18808-Ljbffr

R&D Why Join Us? Join the founding U.S. deployment team and embed directly with strategic enterprise clients. Bridge technology and business by architecting, coding, and operationalizing AI solutions in real-world production settings while shaping product direction from the field. Key Responsibilities Embed with customer teams (on-site or virtually), rapidly understand domain challenges, and design tailored AI/ML-driven solutions Lead end-to-end implementation: data ingestion, model integration, application logic, UI/UX, APIs, monitoring, and scaling Collaborate with customer stakeholders (technical and executive) to define roadmap, success metrics, and delivery plans Iterate rapidly: prototype, test, learn, and refine in production settings Surface lessons from client deployments back into our core platform-help shape product direction, SDKs, abstractions, and APIs Assist the sales / pre‑sales process: technical discovery, architecture reviews, proof‑of‑concept scoping, and proposals Ensure reliability, observability, performance, security, and compliance in deployed systems Requirements 3-8+ years of professional software engineering experience (full stack, data, infrastructure, or ML systems) Experience building production systems: APIs, data pipelines, scalable services, frontend/backends Demonstrated ability to work in ambiguous environments, integrating multiple systems and APIs Excellent communication skills: able to engage both engineers and non‑technical stakeholders Highly autonomous, creative problem solver, comfortable working across layers (data ↔ app ↔ infra) Willingness to travel (20%-40%) to customer sites Preferred Qualifications Experience in AI/ML, knowledge graphs, embeddings, LLMs, vector databases Background in regulated industries (finance, healthcare, government) #J-18808-Ljbffr

About Tailwind Tailwind is organizing the world's insurance information. Insurance is one of the largest markets in the world, and it runs entirely on PDFs and antiquated infrastructure. We like it that way. While the industry takes years to roll out change, we ship in days. Tailwind is backed by the earliest investors in financial infrastructure and technology titans Ramp ($23B), Robinhood ($100B) and Cognition ($10B), as well as over a dozen founders and leaders of billion dollar+ companies (including Segment, Newfront, Qualtrics, Cursor, etc) and even NBA champions. About the Role As a Forward Deployed Engineer, you'll sit at the intersection of engineering, product, and customer success. Owning the technical integration will be the foundation of your role - especially at first - but we expect you to evolve into leading the technical delivery of special projects and initiatives for your customers. Your primary internal partner will be the Deployment Strategist who owns customer success overall and will partner with you to deliver value quickly and repeatedly. This role is part solutions engineer, part product specialist, part technical consultant. You'll develop software at the edges of our product, configure our core platform, and become the trusted technical advisor to business leaders inside our customers' organizations. Technical Requirements We're looking for someone who can quickly gain context, build lightweight technical solutions, and work across teams to drive customer outcomes. You should: Be comfortable standing up simple applications - in a modern cloud environment (e.g., AWS, GCP, Azure), using tools like serverless functions, containerized services, or basic web frameworks. You don't need to be a full‑stack wizard, but you should know how to go from zero to working prototype. Have experience building and debugging data pipelines - whether that's writing SQL to transform and move data, scripting in Python or Java, or orchestrating lightweight ETL workflows. You'll often need to wrangle customer data or bridge gaps between systems. Be fluent in APIs and integration logic - including authentication (OAuth, keys), RESTful design, and tools like Postman or curl. You'll regularly connect Tailwind's systems with customers' infrastructure and tools. Be LLM‑native - you're already using tools like Copilot, Claude, or ChatGPT to accelerate dev work, generate glue code, or prompt your way through hairy problems. Thrive in ambiguity - this isn't a checkbox role. We're solving problems that don't always have clear requirements. You'll need to think critically, get your hands dirty, and ship solutions that move the needle for customers. What You'll Do Own technical integrations for new brokerage customers - from first install to full rollout. Expand our product with additional integrations, analytical capabilities -- whatever there is a commercial need for that is not met by our core product Work closely with deployment strategists and product ops to ensure smooth rollouts and successful adoption. Collaborate with engineering on product fixes, light customizations, and new deployments. Travel occasionally for key deployments or high‑touch customers, if needed. What Makes You a Great Fit 1-6 years in software engineering, solutions engineering, or technical consulting. Comfortable working with APIs, SQL databases, and cloud or on‑prem deployments. Strong communication skills - you'll be customer‑facing and technical. Excited to working in our SF office Insurance or financial services experience a plus but not required. Why You Should Work Here Impact: You'll be the bridge between product and customer - ensuring success at the most critical stage of adoption. The best startups are adopting this model because it gives engineers direct exposure to customers, influence over the roadmap, and a faster feedback loop than traditional engineering roles. Skills in this area are in high demand and open doors to product, leadership, and founder paths. Speed: Work closely with engineering to ship improvements fast. Career growth: Forward‑deployed engineers often move into product, solutions architecture, or technical leadership as startups scale. Elite Team: Small, ambitious, and fast‑moving. Our core team has worked together 3 times now, hailing from Carta ($7B) and AppDirect ($2B) and includes veterans from Ramp, Apple, Salesforce and C3 AI - people who know what great product looks like, and what it takes to build it fast. Tailwind is backed by the earliest investors in financial infrastructure and technology titans Ramp ($23B), Robinhood ($100B) and Cognition ($10B), as well as over a dozen founders and leaders of billion dollar+ companies (including Segment, Newfront, Qualtrics, Cursor, etc) and even NBA champions. #J-18808-Ljbffr

Forward Deployed Engineer - LanceDB Team: Engineering Job Type: Full-Time About LanceDB LanceDB is an open-source, cloud-native vector database and multimodal AI lakehouse built on a high-performance columnar format. It enables developers and enterprises to build scalable, real-time search and analytics applications across vectors, structured data, and AI workflows. LanceDB delivers both embedded and managed deployment models with rich SDKs in Rust, Python, and other languages, and is purpose-built to power state-of-the-art retrieval, feature engineering, and large-scale AI systems. Role Overview As a Forward Deployed Engineer (FDE) at LanceDB, part of the Engineering organization, you will operate at the intersection of deep systems engineering and direct customer engagement. You will work hands‑on with strategic customers in the Bay Area to design, deploy, and scale LanceDB in demanding production environments. This is a highly technical, product‑facing role. You will not only deliver customer solutions, but also contribute production‑quality code and actionable feedback directly back to LanceDB's core product lines. Your real‑world experience deploying LanceDB alongside modern data infrastructure will directly influence product architecture, APIs, and performance characteristics. What You'll Do Lead on‑site and remote technical deployments of LanceDB with enterprise and strategic customers, including architecture design, benchmarking, performance tuning, and operational hardening. Write and maintain production‑grade code in Rust and Python for customer integrations, SDK enhancements, ingestion pipelines, and internal tooling. Contribute code upstream to LanceDB's core repositories, including bug fixes, performance improvements, new features, and architectural refinements informed by customer use cases. Capture, distill, and communicate structured product feedback from customer engagements to product and core engineering teams, influencing roadmap and design decisions. Integrate LanceDB into existing data and AI infrastructure stacks, including Spark, Ray, and similar distributed processing frameworks. Diagnose and resolve complex issues involving distributed systems, cloud object storage, concurrency, and large‑scale data movement. Partner closely with product, core engineering, and GTM teams to ensure customer requirements translate into generalizable, reusable platform capabilities. Deliver technical deep dives, workshops, and proofs‑of‑concept for engineers and architects at customer organizations. What We're Looking For At least 2 years of experience in a technical field or forward deployed engineering role. Ability and willingness to be on‑site at customers daily. This role is located in the San Francisco Bay Area, and candidates must live there. No exceptions will be made for this requirement. Proven experience building, deploying, or operating distributed, cloud‑native databases or data platforms in production. Strong proficiency in Rust and Python, with a demonstrated ability to write performant, maintainable systems code. Hands‑on familiarity with data infrastructure technologies such as Apache Spark, Ray, or similar distributed compute and data processing frameworks. Experience integrating databases with batch and streaming data pipelines, ML workflows, or large‑scale analytics systems. Demonstrated ability to contribute directly to core product codebases, not just customer‑specific glue or scripts. Deep understanding of distributed systems concepts including sharding, replication, consistency, concurrency, and failure handling. Strong customer‑facing skills, with the ability to work directly with engineers, architects, and technical leaders to drive solutions from concept to production. Nice-to-Have Experience with vector databases, similarity search, or multimodal data systems. Prior contributions to open‑source databases, storage engines, or distributed systems projects. Familiarity with cloud platforms (AWS, GCP, Azure), Kubernetes, Terraform, and observability tooling. Experience with Apache Arrow-based ecosystems, large‑scale ML data pipelines, or AI infrastructure stacks. Why LanceDB? As a Forward Deployed Engineer at LanceDB, you'll work directly with cutting‑edge customers while shaping the core product itself. Your field experience will feed back into LanceDB's architecture, APIs, and performance roadmap, giving you a rare opportunity to influence both customer success and the evolution of next‑generation AI data infrastructure. #J-18808-Ljbffr

With a strong early technical team in place, we're looking to add a forward deployed engineer to help us add and go deeper with customers. Your role will be in partnering with Alex Klarfeld , the CEO/Founder, in managing outreach, building demos, onboarding new customers, iterating with the engineering team on product feedback, and closing deals. Mission To attract net new customers through demos, qualify and gather requirements from prospects, implement integrations for new prospects and manage active customer engagements, so the company can: Grow the top of funnel by demonstrating the product through demos Gather requirements and help qualify prospects on sales calls Drive the sales process by auditing new integration requests and using this to qualify customers Implement new integrations using Supergood tooling, and take learnings from implementation to shape the product roadmap Manage customer roll-outs, ongoing support, and net new integrations Technically Adept: You exhibit a high understanding of technical concepts that helps establish trust from prospects and customers, ensuring the product delivered will be high quality. Crazy Creative: You have a never ending supply of wild and crazy ideas to help showcase the product in an interesting way, or solving customer problems in a creative way. High Level of Ownership: You're constantly and neurotically monitoring every single customer deployment, proactively identifying issues before customers even notice them. Run through walls: You come up with creative solutions to very strange problems. You're comfortable working in a non-intuitive problem space such as reverse engineering, and know how to push towards success regardless of the resistance. Requirements 1-3 years of years of experience in consulting, early-stage sales, or growth-focused roles at large companies Ability to engage and build relationships with customers of all types on a technical level Interest and ability to build from zero to one, and be a self-starter Has tinkered with modern LLM and AI tools and understands their capabilities, and more importantly, their limitations Experience in environments with high velocity of iteration and shipping Based in San Francisco, CA and willingness to work in-person five days a week Competitive salary and generous equity compensation Medical, dental and vision insurance Daily lunch and coffee / snacks / beverages Supergood is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

A healthcare technology company in San Francisco is looking for a Forward-Deployed Engineer to enhance patient care navigation. You will collaborate closely with teams to configure workflows and build automated agents to improve care outcomes. Ideal candidates should have a Bachelor's degree in a related field, proven experience with AI content generation, and strong analytical skills. This role offers a competitive salary and benefits including health insurance and paid time off. #J-18808-Ljbffr

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 #J-18808-Ljbffr

About the Role We're looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that directly change people's lives. Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We're building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities - leading to a network where worker and employer agents match on real capabilities, not job boards. In this role, you will: Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform Design and ship core systems for matching, candidate verification, skills representation, and workflow automation Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities Build high-trust, scalable systems that support millions of job seekers and employers Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes Work closely with product, design, research, and ops to create human-centered experiences powered by AI Optimize for speed, reliability, and security, ensuring a trusted platform for economic mobility You may be a good fit if you have: 5+ years of software engineering experience building highly-available user-facing products Experience working across the stack (frontend + backend) and comfort owning features end-to-end Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required) Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

Why Join Doppel Doppel is built to outsmart one of the great threats AI presents: mass‑manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world's fastest‑evolving digital threats. Backed by top‑tier investors and trusted by some of the world's most recognized brands, Doppel is growing fast. If you're driven to solve real‑world problems with bold technology, we'd love to meet you. What We're Building We're building the AI‑native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats. What We're Looking For We're looking for an experienced full‑stack engineer to help build out our new Simulation product. We only just recently launched it but market traction is growing extremely fast and we need people excited to jump and do whatever it takes to build what our customers desperately want. For example: Build out a “Cursor for phishing simulation” flow that lets users create simulations using natural language. Build out voice deepfakes that use AI to call employees pretending to be their co‑worker. Here are some additional resources on what we built and why. What We Offer 🚀 A mission‑driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density 🍽️ Free lunch and dinner in the office 🌴 Flexible PTO ✈️ Quarterly team offsites Join Doppel Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 million entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective. We're not just another cybersecurity company. We're defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top‑tier investors and trusted by some of the world's most recognized brands, Doppel is growing fast. If you're driven to solve real‑world problems with bold technology, we'd love to meet you. #J-18808-Ljbffr

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)

Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can't see risks, obligations, or act in time. Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you're buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That's why the world's most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We're consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company's Most Innovative Workplaces. Ironclad has also been named to Forbes' AI 50 and Business Insider's list of Companies to Bet Your Career On. This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Software Engineer, Platform Infrastructure sits under the umbrella of Product and Engineering and plays a pivotal role in ensuring our developers have the tools, infrastructure, and systems to provide our customers with reliable, secure, and scalable software. Roles & Responsibilities: Be part of the Cloud Platform SRE Team, focused on building our Cloud Platform using modern tools and best practices. Champion SRE best practices within the team and throughout the organization Solve the whole problem. Architecture for resiliency, identify risks, and make it happen. Ability to use a wide variety of open source technologies and tools Understanding of Continuous Integration & Continuous Delivery in the software engineering process and can clearly articulate how a Software Engineer, Platform Infrastructure facilitates these practices in collaboration with the Development, Quality Assurance and Technical Operations teams to drive business goals Ability to demonstrate a clear, energetic and excited interest in automating everything (build, test, release/deploy, monitoring, reporting), which includes Infrastructure as Code Preference for collaboration, open communication and reaching across functional borders Thorough understanding of backup/recovery systems, development automation routines, storage area networks and virtualization Be on an on-call rotation to respond to incidents that impact Ironclad's availability, and provide support with internal or customer-facing incidents Develop an understanding of the near, mid, and long-term needs of the business - and understand how the Platform SRE contributes to its success Influence architectural decisions with a focus on security, scalability, and high performance Be a mentor, multiply our team's output with leadership and guidance Key Skills: 8+ years of professional DevOps / SRE experience. 5+ years of coding (Python, Golang, TypeScript Shell Scripting, Rust, etc), scaling, and architecture work. Experience with Typescript is a plus. Expert knowledge of Docker and Kubernetes Experience with Google Cloud Platform (or similar provider) Experience with Build and Deployment tools such as Terraform, CircleCI, ArgoCD Experience with multi-region support is a plus Experience with ELK Stack, MongoDB, Postgres Strong technical aptitude and exceptional communication skills (written and verbal) Ability to appropriately prioritize and respond to different escalations Troubleshooting and analytical skills, drive to help customers, and the ability to dive deep and learn a new product. Experience and desire to work cross-functionally Team and goal-oriented. High output; low ego Benefits: Health, dental, and vision insurance 401k Wellness reimbursement Take what you need vacation policy Generous parental leave for both primary and secondary caregivers Base Salary Range: $180,000 - $200,000 The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad's competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

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

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. DevOps Engineer 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.

Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Collaborate with development teams to make the systems they design and operate more reliable. Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment. Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. Implement fault-tolerant and resilient design patterns to minimize service disruptions. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. You might thrive in this role if you: Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems. Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management. Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Proven experience as an reliability engineer or a similar role in a fast-paced, rapidly scaling company. Strong proficiency in cloud infrastructure. Proficiency in programming/scripting languages. Experience with containerization technologies and container orchestration platforms like Kubernetes. Knowledge of IaC tools such as Terraform or CloudFormation. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack. Experience with microservices architecture and service mesh technologies. Knowledge of security best practices in cloud environments. This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr