Kubernetes Jobs

410 open roles mentioning Kubernetes

AI Scientist - Zurich

11mo ago
Mistral AI

Mistral AI

Mistral AI is a pioneering company dedicated to democratizing AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform serves both enterprise and personal needs, offering tools like Le Chat, La Plateforme, Mistral Code, and Mistral Compute to bring frontier intelligence to end-users. We are a dynamic, collaborative, and diverse team passionate about AI's potential to transform society, thriving in competitive environments and committed to driving innovation. Join us to be part of shaping the future of AI and making a meaningful impact.

Zurich remote Full-time
MistralKubernetesPython +8 more

Security Engineer, Product

11mo ago
R

Rogo.ai

Rogo is transforming global finance with AI, empowering professionals at top investment firms with unparalleled speed, accuracy, and insight. We are redefining financial workflows and are a rapidly growing, global company with proven product-market fit and strong investor backing. We are scaling quickly and defining a new category of enterprise AI. Our team is sharp, motivated, and deeply committed to our mission, taking ownership of complex problems and focusing on our users. If you thrive in a fast-paced environment and want to help build the future of finance, join us.

New York City onsite FullTime
AWSKubernetesPython +5 more

Solutions Architect - Infrastructure

11mo ago
d

decagon

Decagon is seeking a Founding Solutions Architect - Infrastructure to shape how enterprises deploy and scale our AI-powered platform. This role blends pre-sales engineering, deployment architecture, and enterprise infrastructure strategy. You will serve as a trusted advisor to enterprise prospects and customers, guiding them through complex deployment discussions, from containerization to multi-cloud architectures, ensuring seamless integration with their existing infrastructure while meeting security, compliance, and scalability needs. As a founding hire, you will define deployment solutioning best practices, collaborate with Sales, Product, and Engineering, and establish technical credibility with stakeholders across various departments.

San Francisco onsite FullTime
AWSDockerKubernetes +3 more

Forward Deployed Engineer - Systems

11mo ago
M

Modal

We are seeking Forward Deployed Engineers to join our engineering team, working at the intersection of deep infrastructure and direct customer impact. In this role, you will partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, and sandboxing. Your primary goal will be to help them design and deploy production infrastructure on Modal's platform, acting as a key technical advisor and problem-solver.

New York onsite FullTime
AWSAzureDocker +4 more

Software Engineer, Agents

1y ago
M

Mercor

Mercor is seeking a strong engineer to build scalable agentic products. You will work on a variety of teams focused on automating operational work, developing evaluation systems for RL environments, and building the infrastructure for producing frontier data. This role involves end-to-end ownership of agentic features, from initial scoping and design through implementation, launch, and iteration. You will collaborate with researchers, operators, and AI companies at the forefront of AI advancement, contributing to the development of systems that are redefining society.

San Francisco onsite FullTime
LangGraphLangChainKubernetes +4 more

Member of Technical Staff - Research Infrastructure Engineer

1y ago
B

Black Forest Labs

We are seeking engineers to build and maintain the core infrastructure powering our mission to develop visual intelligence. This role involves maintaining and scaling compute clusters, building research platforms to accelerate innovation, and enabling large-scale, efficient resource orchestration for multi-week/month long training runs. If you are passionate about distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement, this team offers a unique opportunity to contribute to groundbreaking AI models.

€100k - €230k

Freiburg (Germany) onsite FullTime
AWSKubernetesPython +2 more

AI Scientist - Audio

1y ago
Mistral AI

Mistral AI

Mistral is on a mission to democratize AI by producing frontier intelligence for everyone, developed in the open. We are a dynamic, collaborative team passionate about AI's potential to transform society, with diverse teams distributed globally. We develop models for enterprise and consumers, focusing on systems that change business operations and integrate into daily lives, while also releasing frontier models open-source. We are hiring experts in large language model training and distributed systems to shape the future of AI.

Paris remote Full-time
MistralKubernetesPython +8 more

Software Engineer, Enterprise Agents

1y ago
Mistral AI

Mistral AI

Mistral AI is seeking a Software Engineer to design and build core systems that drive the company's growth, focusing on the Enterprise Agents area. This role involves developing internal tools, integrations, connectors, workflows, and dashboards to enhance information flow across the organization. The engineer will collaborate closely with internal stakeholders to understand business needs, translate complex workflows into scalable software, and deliver pragmatic solutions that optimize team operations. The position is at the intersection of engineering, finance, data, and operations, contributing to a dynamic and collaborative team environment.

Paris remote Full-time
MistralDockerKubernetes +5 more

Forward Deployed Engineer, Gov

1y ago
OpenAI

OpenAI

The Forward Deployed Engineer (FDE) role at OpenAI for Government focuses on leading complex deployments of frontier AI models in production environments for government and public sector customers. You will embed with these strategic clients to understand their challenges, structure delivery, and rapidly build full-stack solutions that create measurable value. This involves scoping, sequencing, and driving clarity across internal and external teams, acting as a technical thought partner to defense, intelligence, and federal stakeholders to guide adoption, maximize mission impact, and ensure successful deployments at scale. The role also involves identifying reusable patterns, codifying best practices, and providing field feedback to influence OpenAI's product roadmap.

Washington, DC hybrid FullTime
OpenAIAWSAzure +4 more

Machine Learning Infrastructure Engineer, Model Inference

1y ago
Abridge

Abridge

Abridge is seeking an ML Infrastructure Engineer, Model Inference to build and optimize the core inference infrastructure powering their machine learning models. This role is crucial for enhancing the scalability, efficiency, and performance of Abridge's AI-driven healthcare solutions. The engineer will collaborate with Infrastructure and Research teams to build, deploy, optimize, and orchestrate AI models, working on a platform that transforms patient-clinician conversations into structured clinical notes in real-time.

SF Office hybrid FullTime
KubernetesPyTorchTensorFlow +3 more

Software Engineer - Enterprise Platform

1y ago
B

Baseten

Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are seeking an Engineer for our enterprise engineering team to build capabilities that support large organizations with their security, compliance, and procurement needs. This role involves deep product and systems work across the full stack, focusing on core building blocks like identity and access management, billing, regional isolation, and deployment options. You will design authentication and authorization systems and develop administrative experiences for enterprise IT teams.

San Francisco hybrid FullTime
KubernetesSpark

Member of Technical Staff, Integration/RL Team (Research Engineer)

1y ago
Cohere

Cohere

Cohere is a leading enterprise AI company focused on building cutting-edge foundation AI models and end-to-end products for real-world business problems. The integration team specifically focuses on developing and scaling machine learning algorithms and infrastructure for LLM post-training, with an emphasis on large-scale, distributed Reinforcement Learning (RL) methods. This role is crucial for enhancing the post-training codebase by implementing new research tools, optimizing algorithms, and scaling distributed RL capabilities. We are looking for passionate individuals who are meticulous in their approach to engineering and science, contributing to both production code and research efforts.

Paris remote FullTime
CohereKubernetesPython +3 more

Software Engineer, Database Systems

1y ago
OpenAI

OpenAI

We are seeking engineers passionate about distributed systems, close-to-the-metal performance optimization, and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.

San Francisco onsite FullTime
OpenAIAWSAzure +5 more

Member of Technical Staff, Post-Training

1y ago
Cohere

Cohere

Cohere is seeking a Member of Technical Staff to focus on post-training of AI models. This role is crucial for advancing the state of the art in model post-training and shipping cutting-edge models to production, bridging the gap between research and practical application. You will have access to significant compute resources and a talented team to contribute to increasing model capabilities and driving customer value. The position offers a unique opportunity to contribute to both production code and research efforts, depending on your interests and organizational needs.

London hybrid FullTime
CohereKubernetesPython +3 more

Member of Technical Staff, Backend

1y ago
l

llamainndex ai

LlamaIndex is seeking an experienced backend engineer to join their application platform team. This role will focus on building new features and scaling ingestion and AI systems for a rapidly growing company backed by Greylock. You will have significant opportunities for growth and ownership as you contribute to the next phase of the company's expansion, working on innovative AI products that redefine knowledge access and utilization.

San Francisco hybrid FullTime
LlamaIndexKubernetesPython +2 more

Software Engineer, Agent Infrastructure

1y ago
OpenAI

OpenAI

The Agent Infrastructure team at OpenAI is building systems to enable the training and deployment of highly useful AI agents. This role involves working closely with research and product teams to scale systems for training agentic models and to build the platform for launching new agents to millions of users. You will contribute to a novel container orchestration platform, develop and maintain APIs for agentic infrastructure, and use Terraform for infrastructure management. The ideal candidate has deep experience in large-scale machine learning infrastructure, a knack for performance optimization, and expertise in virtualization and containerization technologies.

San Francisco onsite FullTime
OpenAIKubernetesAI Agents +1 more

Staff Product Security Engineer

1y ago
c

crusoe

Crusoe is seeking a Staff Product Security Engineer with deep AI/ML security expertise to enhance the company's security posture across applications, infrastructure, and distributed AI systems. This is a highly technical role focused on advanced penetration testing, AI/ML attack surface research, and developing secure-by-design guardrails for engineering teams. The role operates at the intersection of offensive security, AI systems, and production engineering, with end-to-end ownership of security outcomes and influence over system design across the organization.

$250k - $285k

San Francisco, CA - US onsite FullTime
KubernetesPythonGo +4 more

Applied AI Engineer, Senior/Staff Devops/SRE

1y ago
Mistral AI

Mistral AI

Mistral AI is seeking an Applied AI Engineer focused on DevOps to help customers adopt its products and solve complex technical challenges. In this role, you will apply your problem-solving abilities, creativity, and technical skills to assist organizations in leveraging AI for significant impact. You will gain unique insights and contribute to critical global industries and institutions. Applied AI Engineers at Mistral AI work in small teams, owning end-to-end execution of high-stakes projects, which may involve discussing architecture, managing large-scale data, coding custom applications, engaging with customer executives, and strategizing for the Applied Engineering team.

Singapore remote
MistralAWSAzure +10 more

Member of Technical Staff, Performance Optimization

1y ago
f

fireworks ai

Fireworks is seeking a Software Engineer focused on Performance Optimization to enhance the speed and efficiency of their AI infrastructure. This role involves optimizing performance across all levels of the technology stack, from low-level GPU kernels to large-scale distributed systems. The primary focus will be on maximizing the performance of demanding workloads such as large language models (LLMs), vision-language models (VLMs), and advanced video models. You will collaborate with research, infrastructure, and systems teams to identify and resolve performance bottlenecks, implement advanced optimizations, and scale AI systems for production use cases, directly influencing the speed, scalability, and cost-effectiveness of cutting-edge generative AI models.

San Mateo hybrid FullTime
KubernetesPyTorchModel Serving +1 more

Senior Application Security Engineer

1y ago
Abridge

Abridge

Abridge is seeking a highly experienced and motivated Senior Application Security Engineer to join their growing team. This is a key technical leadership role focused on building security from the ground up at the forefront of AI in healthcare. You will shape product, infrastructure, and engineering practices by impacting the vision and execution of the secure software development lifecycle (SDLC) across the entire product portfolio. The role involves collaborating with product and engineering teams to integrate security seamlessly, automate security controls, and foster a secure-by-default culture. This position demands deep technical expertise, a builder's mindset, and strong communication skills to influence security across the organization.

SF Office hybrid FullTime
KubernetesPythonGCP

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