CI/CD Jobs

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work alongside Physical AI customers to understand their workloads and production requirements, translating these into actionable insights for our core infrastructure products. You will also investigate and prototype new product opportunities based on unmet customer needs, helping to shape the future of Nebius' offerings. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure in close collaboration with customers, NVIDIA, Product, and Engineering teams.

Tavily is building the infrastructure layer for agentic web interaction at scale, powering Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. They connect LLMs to high-quality, trustworthy web content, enabling developers to build intelligent and informed agents. Tavily works with innovative AI teams, from startups to large enterprises, serving as the link between LLMs and the real world.

$147k - $224k

Ultra is seeking a Product Engineer, AI Enablement to develop and deploy internal tools that enhance AI utilization across the company. This role involves collaborating with various teams to identify AI opportunities, build reliable internal tools and workflows, and ensure their adoption. You will be part of the Software team, focusing on both the software development lifecycle for AI tools (coding agents, reviews, testing) and empowering non-engineering colleagues with AI-driven automations. The position is production-oriented, requiring evaluation of commercial tools, development of custom solutions, and measurement of impact and adoption. This is an in-person role in NYC, offering direct visibility into Ultra's operations.

$150k - $225k

NVIDIA is seeking an experienced software engineer to help build NVIDIA AI for Media SDKs, a GPU-accelerated platform delivering AI-powered video, audio, and augmented reality capabilities for developers building media, content creation, and broadcast workflows. You will develop and optimize AI software across cloud and embedded platforms while advancing the build, validation, and delivery infrastructure behind our SDKs. This role combines strong C++ systems engineering, Linux expertise, accelerated inference, and software delivery automation. You will collaborate with algorithm, platform, infrastructure, and QA teams to deliver efficient, reliable software on NVIDIA hardware.

$184k - $357k

Glean is seeking a Software Engineer to help build a scalable software-based platform, including enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs. This role involves building large-scale, fault-tolerant distributed systems and implementing data ingestion pipelines to create secure search indexes. You will also design and implement user interfaces for enterprise content search and APIs for related applications.

$187k - $234k

Salesforce is seeking a Software Engineering SMTS to join their Product Core team. This team builds foundational product systems for prospect identification, meeting scheduling, data synchronization, workflow execution, and enterprise authentication. They also enable customers and partners to extend the product through APIs and webhooks. The role involves building the data, context, and execution capabilities behind agentic product experiences, such as meeting preparation and routing investigation. As a technical leader, you will drive complex initiatives from design to production, shape architecture, write production code, and influence technical direction.

$149k - $224k

Salesforce is seeking a Software Engineer to join the brand-new Software Factory team. This team is responsible for industrializing software development by building a platform that enables coding agents to perform real work on the company's codebase. The role involves creating remote sandboxes for agents to run builds safely, developing orchestration for agent tasks triggered from various platforms like Slack and GitHub, and implementing observability to ensure the trustworthiness of agent output at scale. The team's strategy is to leverage existing off-the-shelf coding agents rather than building their own, focusing on the surrounding factory infrastructure. As one of the first hires, you will have significant influence in shaping this platform from the ground up, working closely with the CTO on architecture, build-vs-buy decisions, and future priorities, while delivering value to internal customers from day one.

$173k - $314k

Baseten is seeking a Backend/Distributed Systems Engineer to join their Product Platform team. This role is central to Baseten's mission of powering mission-critical AI inference for leading AI companies. You will work on key areas such as commercialization, billing, partnerships, developer productivity, agentic development, and the observability platform. The position offers the opportunity to design and build scalable systems, own core platforms, and contribute to the company's growth at the forefront of AI development.

$165k - $330k

Scale AI

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines. You won't just be managing resources; you’ll be defining the deployment standards for Agentic workflows at scale. Your mission is to bridge the gap between complex AI orchestration and world-class infrastructure, ensuring our platform remains the most reliable destination for enterprise agents. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

$216k - $270k

Accenture

We are building the next generation of AI-native engineering talent, where AI is a core part of how engineers work, not an add-on. As an AI Engineer, you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as a standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems, understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This role offers breadth across every industry and enterprise technology stack, combined with vendor fellowship access inside leading AI companies, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

The Learning Team at ClickHouse is expanding rapidly, and we're seeking a Technical Curriculum Developer to enhance our hands-on training experience. This role involves accelerating technical content creation by integrating AI-powered tools and agents directly into the learning process. You will be responsible for the infrastructure that supports content releases, certification exams, courses, and learning environments. Additionally, you will spearhead GenAI initiatives to improve content development efficiency and build an AI-powered user experience for our students.

The Developer Productivity team at Cloudflare builds internal tools and platforms to enhance the velocity and developer experience for Cloudflare's engineering teams. This role is responsible for AI-assisted development across all of Cloudflare engineering, with significant adoption growth in the past year. As a Software Engineer on this small, high-impact team, you will have substantial ownership from day one. You will help build and operate internal platforms that enable Cloudflare engineers to develop, deploy, and run software safely and efficiently, working across developer tooling, CI/CD, GitOps, and AI-assisted development, including MCP servers, agents, evals, and context engineering. Additionally, you will contribute to governing and enforcing Cloudflare’s Engineering Codex by translating engineering standards into automated guardrails, paved paths, and actionable feedback.

Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization. We are increasingly applying AI, from agentic workflows to LLM-assisted development and automated diagnostics, to build integrations faster, operate them more reliably, and reduce manual toil across the team. Our mission is to create scalable, reliable, and intelligent systems that ensure data flows securely and efficiently between platforms, and to use AI as a force multiplier for how we design, build, and support that work. Our team is highly collaborative, values continuous learning, and supports each other through shared ownership and open communication. We work closely with both technical and business teams, conduct regular retrospectives, and are actively evolving how AI tooling changes the way we plan, build, test, and troubleshoot integrations.

The next generation of software will be built and shipped by agents, and Vercel is at the forefront of this revolution. As an engineer on the Agentic Infrastructure team, you will own the systems that power Vercel's build and deployment lifecycle at scale. This role requires a blend of product thinking and deep systems ownership, where you will be responsible for the design, reliability, and evolution of the platform. You will make critical decisions that impact performance, define best practices, and ensure the workflows that Vercel, its customers, and their agents depend on are fast, resilient, and secure. We are seeking engineers who are passionate about owning high-scale systems end-to-end, improving the developer and agent experience, and making a lasting impact on how modern software is built and delivered.

$196k - $294k

Glean is seeking a Software Engineer, Developer Productivity to enhance how our engineers build, test, and ship software. This role involves optimizing our multi-language codebase, which is powered by Bazel and runs on GitHub Actions with cloud remote execution. You will be instrumental in designing and refining build systems, CI/CD pipelines, and developer tools. A key aspect of this position will be enabling engineers to effectively utilize AI-powered coding and productivity tools, ultimately reducing friction in daily workflows, scaling our infrastructure, and accelerating the entire engineering team's progress with confidence.

$140k - $220k

NVIDIA is seeking a Product Engineer to lead an internal platform that scores, tracks, and reports on open-source readiness across the DSX OS portfolio. This role will evolve the platform from a measurement tool into a core system for all DSX OS projects, ensuring reliability and data quality are paramount. The goal is to automate scoring, integrate self-serve capabilities into onboarding and workshops, and establish a feedback loop with engineering teams to continuously improve the product. This position requires a strong ownership mentality for production systems and a track record of transforming manual processes into automated, reliable solutions.

$168k - $322k

OpenAI

OpenAI's Hardware organization is developing next-generation AI-native silicon and integrated systems to power frontier models. This role focuses on defining and building the CI/CD systems essential for qualifying these advanced models and the software stack that runs on OpenAI's custom AI accelerators. The work ensures that correctness, performance, and stability are measurable for every code change, from initial commits to production releases. This position involves model workloads, accelerator software, systems infrastructure, and enhancing developer productivity by establishing scalable CI/CD and GitOps practices, designing robust regression and benchmarking pipelines, and collaborating with various engineering teams to optimize feedback loops.

$318k - $485k

We are seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.

$145k - $170k

We are seeking a Senior Engineer to design, build, and scale the infrastructure that powers NVIDIA's AI agent ecosystem. This role sits at the intersection of distributed systems, developer platforms, and agentic AI, focusing on building foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. You will be instrumental in creating the core platform that supports the full agent lifecycle, from registration to teardown, ensuring robust and scalable operations.

$200k - $391k

d-Matrix is at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate, execution-driven individuals ready to tackle challenges and shape the future of AI. The Inference Cloud Engineering team is responsible for the deployment and orchestration technology behind d-Matrix’s inference services, including an internal cloud for model testing and a customer-facing cloud with self-service inference endpoints. This role will own the end-to-end testing and release process for this critical software, ensuring features are proven, releases are predictable, and rollbacks are safe, even with scarce and shared hardware resources.

$155k - $235k