Deployment Operations Engineer

Join Cloudflare as a Software Engineer specializing in resiliency and scalable deployments. In this role, you will work alongside a dynamic team to enhance our cloud infrastructure, ensuring it remains robust and scalable to meet the demands of our global customer base. You will have the opportunity to innovate and implement solutions that improve service reliability and performance.

Join Cloudflare as a Principal Software Engineer specializing in Resiliency, where you will play a pivotal role in enhancing our systems' robustness and availability. Your expertise will contribute to building and maintaining resilient infrastructure that supports our global network, ensuring our customers receive uninterrupted service.In this role, you will work alongside a talented team of engineers to identify vulnerabilities, implement solutions, and innovate new strategies that enhance system performance and reliability. If you are passionate about software engineering and system resiliency, we invite you to apply!

Join Cloudflare as a Software Engineer focusing on resiliency, where you'll play a pivotal role in ensuring our systems are robust, reliable, and highly available. Collaborate with a talented team to enhance our infrastructure and mitigate potential risks, delivering seamless experiences for millions of users worldwide.

Join Cloudflare as a Software Engineer focused on Resiliency, where your contributions will directly impact our mission to help build a better Internet. We are eager to welcome a talented engineer who is passionate about creating robust systems that maintain high availability and performance under varying conditions.

Join Cloudflare as a Software Engineer focusing on Workers Deployment and Configuration. In this role, you will be an integral part of our engineering team, working to enhance our deployment processes and improve configuration management for our serverless platform. You will collaborate with cross-functional teams to deliver high-quality software solutions that meet the needs of our clients.

Join Anthropic as a Software Engineer on our Launch Engineering team, where your focus will be on designing and building cutting-edge deployment infrastructure for inference code. You will ensure our AI models, at scale, are continuously and seamlessly deployed to production. This role is pivotal in optimizing resource management while maximizing deployment efficiency. Your expertise will be essential in navigating complex deployment challenges, validating systems, and ensuring minimal disruption to our user services. If you thrive in tackling ambitious problems at the intersection of automation and resource management, this position offers the opportunity to make a significant impact.

This technical role is based in our Palo Alto office (Atherton, near Menlo Park) and involves travel to customer sites throughout the Bay Area. Role Overview Voltai is seeking a Senior Software Engineer: Deployments to help deliver our AI platform to leading semiconductor and consumer electronics companies. This position works closely with customers to refine and enhance features, ensuring our solutions fit their real-world needs. About Voltai Voltai builds advanced models and agents that evaluate, design, and interact with hardware and electronic systems. Our work shapes the future of technology by bridging AI and electronics. Our Team The Voltai team includes hackers, researchers, and operators focused on AI for electronic systems and semiconductors. Team members come from diverse backgrounds, including former Stanford professors, SAIL researchers, Olympiad medalists, and executives from Synopsys, GlobalFoundries, and Cadence. We value execution and maintain strong relationships with industry leaders such as Stanford, Sequoia, Google, AMD, and Broadcom. What You Will Do Oversee customer deployments at sites across the SF Bay Area, including Cupertino and Santa Clara. Adapt and develop features tailored to customer workflows, moving capabilities from our cloud product to secure on-premises environments. Manage cloud deployments on AWS, Azure, GCP, and OpenShift. Monitor performance and troubleshoot issues as they come up. Gain exposure to hardware design. Prior experience is not required, but curiosity and willingness to learn about high-level hardware development are important. What We Look For Strong problem-solving skills matter more than matching keywords. At least 3 years of experience in backend engineering, full-stack development, or infrastructure/DevOps (not including internships or teaching assistant roles). Familiarity with agent development and Reinforcement Learning (RAG) is a plus. Solid instincts for systems design and debugging. Comfort with Docker, cloud infrastructure, and Infrastructure as Code (IaC) tools. Willingness to travel, primarily within California.

About the RoleJoin the Engineering Acceleration Delivery / Continuous Deployment team at OpenAI, where we develop and maintain systems designed to securely deploy OpenAI’s infrastructure and product code into production.Our team is responsible for the deployment platform, release pipelines, and safety mechanisms that empower engineers across OpenAI to make rapid changes while minimizing operational risks. Our goal is to streamline production deployments, enhancing speed, safety, and autonomy.This position is a unique opportunity to work at the convergence of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration.In This Role, You WillArchitect and implement continuous deployment infrastructure that efficiently manages changes across multiple Kubernetes clusters and global regions.Create systems for progressive delivery, incorporating techniques like canary releases, staged rollouts, and automated rollback processes.Enhance engineering velocity by reducing friction within the release pipeline and automating operational workflows.Collaborate with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale.Refine and adopt deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns.Develop systems that automatically assess deployment health through metrics, logs, traces, and alerts to identify regressions and initiate safe rollbacks.Create systems that facilitate agent-assisted or fully autonomous deployment workflows using cutting-edge AI tools.Technologies you will work with include:Kubernetes for large-scale container orchestration and runtime infrastructurePython and FastAPI for internal servicesTerraform for infrastructure as codeGitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems)Buildkite for CI orchestration

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower organizations to seamlessly integrate advanced coding tools throughout their software development lifecycle. We are more than technical partners; we are collaborators who accelerate the planning, building, and delivery of software for a diverse range of clients, from innovative startups to established global enterprises.About the RoleWe are on the lookout for a technically proficient and creatively inclined AI Deployment Engineer who is not just a user of AI coding tools but is passionate about enhancing developer productivity. In this role, you will work closely with engineering leaders and hands-on developers to create, validate, and expand advanced AI workflows. You will often leverage Codex to develop prototypes, demos, integrations, and automations that our customers will utilize.This multifaceted position blends technical architecture, product strategy, and customer engagement. Collaborating with Sales, Solutions Engineering, Product Management, Applied Engineering, and the broader Codex team, you will advocate for customer needs, influence product direction, and facilitate the successful deployment of intelligent coding systems across some of the most impactful companies worldwide.Key Responsibilities:Act as the primary technical expert on OpenAI Codex for a select group of clients, working closely with their engineering teams to enhance coding workflows.Collaborate with customers to design and implement AI-powered development workflows, from rapid prototyping to scalable production.Create high-quality demos, reference implementations, and workflow automations using Codex in your development process.Facilitate large-scale workshops, in-depth technical sessions, and hands-on training that empower engineering teams to adopt AI coding tools effectively and safely.Contribute technical content such as examples, guides, patterns, and best practices to the OpenAI Cookbook, helping the broader developer community enhance their use of Codex.Gather valuable insights from actual customer deployments and translate them into actionable product proposals and feedback for internal teams.Influence customer strategies and decision-making by illustrating how AI coding tools enhance their software development lifecycle (SDLC), technical roadmap, and organizational goals.

Join Netic, the leading AI revenue engine powering essential services that form the backbone of the American economy.With $43 million in backing from Founders Fund, Greylock, Hanabi, and Dylan Field, who led our Series B, we have enabled our clients to secure hundreds of thousands of jobs across service sectors in North America. Companies are now operating entirely AI-first thanks to Netic.Become a part of our dynamic team composed of relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard, as we integrate frontier AI into the physical economy, tackling complex challenges with immediate and significant impact.As a Deployment Engineer, you will bring Netic’s AI agents to life for clients in essential service industries. You will operate at the crossroads of software, AI, and operations, managing customer deployments and resolving intricate technical and business challenges to drive measurable business results.

Join OSARO as a Deployment Engineer and play a critical role in bringing our innovative automation solutions to our customers. At OSARO, we blend cutting-edge software with advanced machine learning to enhance the capabilities of industrial robots, enabling them to perform a diverse range of tasks in modern factories and warehouses. Our solutions empower robots with the autonomy necessary for complex pick-and-place operations while seamlessly integrating with our clients' sophisticated software systems.In this position, you will be a key advocate for our customers, deeply understanding both OSARO's technology and the specific needs of our clients. Your responsibilities will encompass every stage of the customer journey—from designing tailored solutions to planning and executing successful implementations, including remote and on-site deployment support. You will work closely with our engineering teams, gaining insights into hardware, deep learning, computer vision, motion planning, and robotic control to troubleshoot and resolve any technical challenges that arise.We seek individuals who are passionate about their work, take ownership of their projects, and thrive in a challenging environment. You should be a team player who values direct communication and follows through on commitments.

At Meter, we strive to revolutionize the way networks are deployed, ensuring they are built for optimal performance and scalability. As a Network Deployment Engineer, you will play a vital role in transforming customer requirements into robust wired and wireless network solutions using our proprietary tools. You will spearhead all technical choices throughout the design and deployment process while assisting our clients during the network activation and validation stages. Your technical expertise will be crucial in enhancing deployment efficiency and ensuring customer satisfaction, allowing Meter to meet the increasing demand for dependable internet infrastructure.Your contributions will include:Crafting high-performance networks: Utilize Meter’s specialized toolkit to design both wired and wireless networks that are both resilient and efficient.Driving key technical decisions: Oversee technical aspects of network design and deployment until successful network launch and validation.Facilitating network activation: Provide troubleshooting and support for essential devices and network features during the activation process to guarantee a seamless customer experience.Assisting with on-site installations: Travel to complex customer locations as necessary to offer installation and validation support, ensuring successful deployments.Collaborating across teams: Work alongside Deployment Project Managers, Sales Engineers, and Product Engineering teams to innovate the next generation of Meter’s deployment and networking solutions.Why Choose Meter?The internet powers our world—every email, purchase, and video call relies on effective network communication. Yet, traditional networks remain outdated, fragile, and challenging to set up within enterprise environments.Meter was founded to create superior networks. Our journey began with designing and building our own enterprise hardware, user-friendly software, and streamlined operations to achieve outstanding customer outcomes. Today, we deploy these networks on a large scale, supporting prominent organizations such as Bridgewater, Lyft, and Reddit to keep their teams connected and productive across numerous locations.Our vision at Meter is straightforward: we anticipate a future where internet usage will only increase. We are confident that our comprehensive networking stack will empower businesses to operate as seamlessly and reliably as modern utilities.

Role overview The Partner AI Deployment Engineer at OpenAI focuses on delivering AI solutions built on Amazon Web Services (AWS). The position involves close collaboration with partners to bring OpenAI technologies into their products and workflows. This role is based in San Francisco. What you will do Deploy AI solutions using AWS infrastructure Work with partners to integrate OpenAI technologies into their systems Troubleshoot technical challenges and support successful implementation

Join Rockstar, a pioneering company dedicated to revolutionizing enterprise accounting by leveraging powerful integrations, intuitive design, and AI-driven automation. Our platform consolidates processes into a user-friendly interface, allowing accounting teams to focus on strategic, high-value tasks while reducing resource consumption.Our team comprises elite engineers and finance professionals from prestigious firms like Robinhood, Bolt, EY, Facebook, Twitter, Netflix, Amazon, Google, and Airbnb. With extensive industry experience, we are reshaping the way businesses handle their financial management.Backed by prominent Silicon Valley investors, we have successfully raised the largest seed round in our category, enabling us to launch a fully operational product and onboard several major clients.As an AI Deployment Engineer, you will:Collaborate with account executives to navigate complex deal cycles involving multiple stakeholders.Oversee and execute technical proof-of-concept (POC) processes.Optimize prompts and models to ensure optimal AI performance for our clients.Develop custom modules to facilitate successful client launches.Create and present tailored demonstrations based on customer business needs.Draft a comprehensive implementation scoping document for each customer.Integrate with various transaction systems, including revenue, billing, and accounts payable.Engage in customer-facing activities, including technical discovery calls.Collaborate with product and engineering teams to fulfill customer requests and advocate for their needs.Troubleshoot, debug, and enhance software to maintain reliable and robust performance in production environments.Provide ongoing technical support and maintenance for deployed solutions.Your qualifications include:Minimum of 2 years of experience in forward deployment engineering, sales engineering, implementation engineering, or solution engineering.Bachelor’s degree in any engineering discipline; computer science preferred but not mandatory.Excellent verbal and written communication skills, with the ability to effectively interface with customers.Self-motivated and proactive mindset.Capability to thrive in a high-pressure, fast-paced startup culture.Proficiency in programming languages such as Golang, Typescript, and Python.Adept at identifying customer needs and delivering innovative solutions.Experience collaborating with Account Executives on technical sales processes for Enterprise customers.

Join Crusoe as a Staff Network Deployment Engineer in our Lab division. In this pivotal role, you will spearhead the deployment and optimization of our cutting-edge networking technologies. Your expertise will be crucial in ensuring that our systems are robust, efficient, and ready to meet the demands of our innovative projects.

As the Deployment Director at endeavorAI, you will play a pivotal role in leading our deployment initiatives and ensuring the successful execution of our cutting-edge AI solutions. You will collaborate closely with cross-functional teams to strategize, oversee, and optimize deployment processes, ensuring that our technology meets the highest standards of quality and performance.

About the TeamAt OpenAI, our Forward Deployed Engineering (FDE) organization exists at the crucial intersection of product design, engineering, research, and market strategy. We are dedicated to transforming cutting-edge platform capabilities into practical applications by collaborating with design partners, converting raw customer feedback into tangible software, repeatable processes, and robust products.The FDE Platform team acts as a vital leverage function that amplifies the impact of the FDE organization on OpenAI’s products and platform. By integrating with customer-focused FDE pods, we provide hands-on support in areas such as architecture, product development, refactoring, and construction. This position is ideal for collaborative software engineers who are passionate about innovating with fellow creators on state-of-the-art products.About the RoleAs a pioneering Technical Deployment Lead (TDL) for the FDE Platform team, you will play a crucial role in ensuring the success of our earliest deployments with design partners, guiding them from initial planning and defining success metrics through to production and measurable value realization.This role is both operationally intensive and technically demanding: you will foster alignment among OpenAI and customer stakeholders, oversee the delivery plan across interconnected workstreams, and proactively address enterprise constraints to avoid late-stage discoveries. You will collaborate closely with both B2B and FDE Platform teams to ensure precise execution, transparent tradeoffs, and a scalable rollout strategy for our platform design partners. Success will be evaluated based on delivered outcomes and adoption within critical workflows rather than mere activity metrics.Your success will be quantified through impactful platform outcomes, which include successful deployments that deliver measurable value aligned with customer objectives, foster user adoption, and become integral to their workflows. Additional success metrics will encompass delivery reliability (on-time milestones, minimal reopen/churn), operational leverage (reuse of patterns across deployments), capacity for sound judgment under pressure, and product impact (field data that influences roadmaps and architectures).This position is based in San Francisco or New York City. Our hybrid work model requires employees to be in the office three days per week. We provide relocation assistance, and travel up to 50% is expected.In This Role, You WillDefine Pilot Scope and Success Criteria: Collaborate with customer sponsors and technical leads to translate goals into actionable plans, measurable outcomes, and clear acceptance criteria.Oversee Delivery Plans Across Workstreams: Manage the delivery process across multiple interdependent streams to ensure cohesive execution and successful deployment.

About Reducto Reducto helps AI teams process complex, real-world enterprise data with high accuracy. Most enterprise information lives in unstructured formats like PDFs and spreadsheets. Our vision models read these documents as effectively as a person, supporting product development, model training, and process automation at scale. Reducto has seen rapid growth, revenue has increased 8x year-over-year. We work with a range of customers, from leading AI teams such as Harvey, Vanta, and Scale, to major corporations including FAANG companies and top trading firms. With over $100 million raised from investors like A16z, Benchmark, and First Round Capital, we are expanding our team in San Francisco. Role Overview: Infrastructure Engineer for Customer Deployments This role focuses on deploying Reducto’s platform into customer environments, which can include Virtual Private Clouds (VPCs) and on-premises bare metal. Each deployment brings its own set of hardware, networking, security, and reliability requirements. The engineer in this position works directly with customer teams to ensure successful, secure, and reliable deployments. Rather than building internal platforms, this role is about hands-on implementation and direct collaboration with enterprise customers’ infrastructure, security, and platform teams. The work bridges Reducto’s technology with customer systems, requiring both technical depth and strong communication skills. Main Responsibilities Plan, configure, test, and implement end-to-end deployments of Reducto in customer environments. Work closely with enterprise IT, security, and platform teams to understand their infrastructure and security policies, and design deployment strategies that fit their needs. Develop a deep understanding of the hardware supporting Reducto’s in-house machine learning models to ensure deployments run smoothly on customer systems. Build monitoring, telemetry, and phone-home solutions that provide visibility into customer-managed deployments while maintaining security standards. Troubleshoot and resolve infrastructure issues specific to each customer, such as Kubernetes configuration problems or cloud IAM challenges, to reduce downtime. Lead incident response for customer deployments, maintaining high operational standards. Document best practices and create reusable patterns for future deployments. Location This position is based at Reducto’s San Francisco office.

Join Our Innovative TeamAt OpenAI, our AI Deployment Engineering team is dedicated to the safe and impactful integration of Generative AI applications for developers and enterprises alike. Acting as trusted advisors and thought leaders, we collaborate closely with our customers to curate an effective portfolio of GenAI use cases tailored to their industries, propelling these solutions into production through expert technical guidance. As the head of our Solutions Architects within the Digital Native segment, you will empower technology and software firms to revolutionize their operations through advanced solutions, including customer service enhancements, automated content generation, and pioneering applications utilizing our most cutting-edge models.Your RoleWe are on the lookout for a visionary leader who will spearhead the technical success of our key technology and software clients across the Americas. In this pivotal position, you will oversee the entire implementation process, ensuring a smooth platform integration. As the voice of our clients, you will synchronize technical teams to provide a cohesive and outstanding experience throughout the customer journey. Your success will be gauged by the deployment of live applications, heightened API engagement, and compelling customer narratives that highlight the transformative power of our technology.This position is based in our San Francisco office, embracing a hybrid work model with three in-office days per week, and we offer relocation support for new hires.Key ResponsibilitiesDevelop and execute the strategy and operational framework of the AI Deployment Engineering team, ensuring alignment with organizational goals and the dynamic needs of our clients.Lead, nurture, and inspire a high-performing team of Solutions Architects to achieve remarkable customer outcomes, evidenced by production applications and increased API utilization.Act as the technical champion for our clients, translating their requirements into actionable insights for Research and Applied Product/Engineering roadmaps.Serve as the primary technical escalation resource during development phases, building trust and maintaining open lines of communication with executive stakeholders.Position yourself as an industry thought leader, advocating for the responsible and innovative use of our technology across various sectors.Ideal Candidate ProfilePossess 8+ years of experience in a technical, customer-facing role, particularly with C-level technical and business executives.Demonstrated leadership in managing complex projects and cross-functional teams.Exceptional communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Strong analytical and problem-solving skills, coupled with a passion for innovative technology.