Top Infrastructure Engineer Jobs

The Infrastructure Engineer will design, build, and maintain cloud infrastructure, manage Kubernetes environments, improve developer experience tools, and ensure compliance with security standards.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

As a Senior Staff Engineer, you will enhance Stripe's Developer Infrastructure, collaborating to improve productivity and managing a talented engineering team.

As a founding member of the Observability team, you'll build and integrate observability solutions, ensuring system reliability and performance while mentoring others and driving automation.

Design and operate cloud and on-prem infrastructure, support DevOps practices, monitor systems, enhance performance, and resolve operational issues.

Design, build, and optimize high-speed interconnects for AI ML clusters, manage vendor relations, and drive innovation in connectivity solutions.

As a Software Engineer on the Data Infrastructure team, you will design, build, and maintain data platforms, implementing data models and ETL pipelines while collaborating cross-functionally.

As a Senior Infrastructure Cloud Engineer, you will develop and manage cloud-native infrastructure solutions, focusing on automation and Kubernetes for a multi-tenant environment. Collaboration with teams to design and deploy efficient systems will be key.

The role focuses on building cloud-native infrastructure, deploying applications, and ensuring reliability using automation tools and Kubernetes within a multi-tenant environment.

The role involves building and maintaining Claude's infrastructure, ensuring reliable execution environments, managing security, and developing tools for observability, partnering with product teams.

The Research Engineer will optimize large-scale RL training systems by enhancing performance in networking, memory, and computation. Responsibilities include designing low-level optimizations, collaborating with various teams to improve infrastructure, and contributing to open-source projects.

Design, develop and maintain low-latency trading systems, ensuring scalability and performance while handling diverse projects in various programming languages.

The Senior Software Engineer will enhance developer velocity and product delivery by managing CI/CD pipelines, distributed systems, and hybrid-cloud infrastructure for nTop's software solutions.

As a Senior Back-End Engineer II, you will focus on platform engineering and DevOps, building CI/CD pipelines, managing cloud infrastructure, and supporting database operations.

Design and optimize storage systems at scale, implementing caching strategies and ensuring data availability and performance for a large user base.

The role involves designing ML infrastructure, building distributed training systems, integrating algorithms, and ensuring reliable inference architecture. Responsibilities include mentoring, driving technical direction, and managing projects effectively.

The role involves leading engineering efforts for ML infrastructure, optimizing distributed training, and enhancing AI platform efficiency in drug discovery.

As a Software Engineer in Core Infrastructure, you will maintain and expand multi-cloud infrastructure, automate deployments, and improve compute efficiency for drug discovery efforts.

The Infrastructure Software Engineer will install Imogen in client cloud environments, collaborate on technical efforts, and apply XP practices such as pair programming and test-driven development.

Design and implement automation systems and databases, manage compliance code, collaborate with teams to convert requirements, and resolve testing defects.

The role involves managing Linux and Windows OS in AWS and Azure, troubleshooting networking issues, and automating infrastructure with Infrastructure as Code tools.

As a Senior Software Engineer at Taara, you will design and implement scalable cloud-native software for managing global optical terminals, build telemetry pipelines, automate infrastructure, and ensure effective communication between hardware and cloud services.

The Software Engineer will architect, build and scale the core infrastructure for an AI-driven CRM, ensuring system performance and resilience. Responsibilities include developing data models and backend services, maintaining full-stack systems, and mentoring team members.

This role involves designing and implementing infrastructure systems for AI workloads, focusing on orchestration, automation, APIs, and compliance in a cloud-native environment. Collaboration across teams is essential for project success.

You will design and develop core data platform components, build scalable services for data integration, and collaborate with stakeholders in a data-driven environment.