Source Job

• Participate in sales meetings, provide architectural recommendations, and build proof-of-concept solutions for onboarding high-spending customers.
• Troubleshoot and resolve complex technical issues using code analysis, scripting, and log analysis.
• Create and maintain technical documentation and deliver training sessions, webinars, and demos.

Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. We are a small, remote-first team that takes ownership seriously, moves fast, and ships work relied on by more than a million developers daily.

• Design and build core platform infrastructure for large-scale cloud-native data and analytics systems.
• Own and improve CI/CD pipelines, testing frameworks, and deployment in a high-scale PaaS environment.
• Contribute to reliability engineering, observability, and operational excellence across distributed systems.

Jobgether uses an AI-powered matching process to connect candidates with roles. The company is a growing platform focused on efficient job matching and data privacy compliance.

• Lead engineering deployment, scaling, and operations of AI compute clusters with GPU fleets and bare metal environments.
• Drive reliability, monitoring, automation, and incident response for AI infrastructure.
• Collaborate with AI/ML, networking, and product teams to align infrastructure with business needs.

Our partner is a fast-growing cloud environment focused on building large-scale AI infrastructure. They seek a senior leader to manage engineering operations for advanced AI compute clusters.

• Own core compute infrastructure across multiple cloud providers and regions.
• Design capabilities for greater performance and flexibility in service deployment.
• Investigate and resolve challenging cloud and compute issues across the stack.

Render is a cloud platform for developers building AI-native, full-stack, multi-service applications. Trusted by over 6 million developers, the company has raised $257M in funding and values craft, velocity, and user experience.

• Own and evolve the cloud platform including compute layer, EKS fleet, serverless infrastructure, networking, and cloud operations across AWS and GCP.
• Design and maintain infrastructure-as-code foundation and networking layer for reliability, security, and scalability.
• Build AI-powered automation for cloud infrastructure management, including policy-as-code, drift detection, and LLM-assisted runbook generation.

Webflow builds the world's leading AI-native Digital Experience Platform, empowering teams to design, launch, and optimize for the web without barriers. As a remote-first company with over 2 million users across 190 countries, it fosters a culture of trust, transparency, and creativity.

• Build and maintain backend cloud services for Tile and other connected devices, including telemetry ingest and state management.
• Own well-defined features and designs, collaborating with firmware, mobile, and platform teams.
• Use AI-native engineering practices daily, including AI coding assistants for coding, testing, and debugging.

Life360’s mission is to keep people close to the ones they love through a mobile app, Tile tracking devices, and Pet GPS tracker. With about 97.8 million monthly active users and over 500 remote-first employees, we’ve become a household name for families and friends.

• Build and maintain backend services, Python libraries, and model lifecycle tooling for internal ML teams.
• Design and operate distributed systems for model serving, evaluation, and feature engineering.
• Focus on developer experience and reliability to help teams train, deploy, and serve ML models safely.

Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and more through a modern digital banking platform. With around 600 engineers out of roughly 5,000 employees, we value flexibility, collaboration, and open source contributions.

• Lead and scale the Forward Deployed Engineering and Technical Support teams, defining engagement models and operating standards.
• Own the FDE engagement lifecycle from technical discovery to deployment guidance, ensuring customer value.
• Drive operational discipline across support tools and partner with Sales, Product, and Engineering on roadmap alignment.

Runpod is the AI Developer Cloud. More than one million developers use the platform to experiment, train, deploy, and scale AI, and we are a small, remote-first team that has processed over 20 billion inference requests and closed a $100M Series A.

• Provide frontline technical expertise to help developers deploy and scale Temporal in cloud-native environments.
• Troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions.
• Collaborate with engineering and product teams to influence platform improvements and enhance developer experience.

Temporal provides an open source programming model that simplifies code and makes applications more reliable. The company is a growing team driven by values of curiosity, collaboration, and humility, focused on improving developer experience.

• Lead the technical vision and architectural strategy for cloud-native platforms and agentic AI capabilities.
• Define and govern DevOps standards, including CI/CD pipeline design, GitOps, and deployment strategies.
• Mentor engineers and drive architectural reviews to raise technical bar across teams.

Experian is a global data and technology company powering opportunities for people and businesses worldwide, operating across markets like financial services, healthcare, automotive, and insurance. They have an amazing team of 25,200 people in 32 countries with an inclusive, purpose-driven culture.

• Build, implement, and deploy agentic platforms within client environments, focusing on scalable AI-driven solutions.
• Design and build agentic platforms using Python and modern AI frameworks like LangGraph, CrewAI, and AutoGen.
• Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications.

Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. Today, our team of 500 experts in 20+ countries is trusted by leading enterprises, including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.

• Build AI-powered tools into engineers' day-to-day workflows (e.g., Claude, VS Code, GitLab, Datadog, internal documentation, Slack chatops).
• Implement and evolve inference and tool-calling pathways using Claude models on Amazon Bedrock, LiteLLM, and MCP/tool gateways within Omada's secure networks.
• Partner with teams across Engineering to define AI-augmented SDLC patterns across planning, coding, testing, and operations.

Omada Health is a virtual-first healthcare and technology company that combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, focusing on chronic conditions like obesity, diabetes, and hypertension. They have served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems, and are certified as a Great Place to Work.

• Own and evolve cloud infrastructure and CI/CD pipelines, driving projects from inception to deployment.
• Gain deep knowledge of the backend stack (Java Spring Boot) and optimize system reliability and scalability.
• Actively adopt AI tools to enhance productivity, automate infrastructure provisioning, and ensure security.

Archy is a Series B vertical SaaS company that provides AI-powered software to revolutionize dental practice management. The company has a growing, collaborative team with a remote-friendly culture.

• Spearheads evolution of compute and data delivery services with an emphasis on scale and user requirements
• Collaborates to enable efficient and rapid access to new and growing data sets
• Improves reliability and scalability by resolving edge cases, studying failure modes, and writing tests

Planet designs, builds, and operates the largest constellation of imaging satellites, delivering an unprecedented dataset via a cloud-based platform. With a global team and a people-centric approach, the company focuses on culture and community while preparing for growth.

• Lead the design and implementation of production-grade cloud and AI/ML solutions on AWS, ensuring scalability, security, and cost efficiency.
• Act as a trusted technical advisor for customers, optimizing reliability, performance, security, and FinOps outcomes.
• Deliver structured engagements such as architecture reviews, cloud optimization assessments, and GenAI workshops.

Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to review applications and share shortlists with employers, operating with a global, distributed team.

• Build enterprise-scale infrastructure using infrastructure-as-code and Kubernetes-native systems.
• Sustain platform health and performance by owning critical systems in production.
• Enable teams and customers to move faster with abstractions and tooling for AI/ML workloads.

Cake makes cutting-edge AI accessible to enterprise teams by removing infrastructure barriers, enabling 10x faster and cheaper AI/ML platform deployment. Backed by top investors, they have a small senior team focused on ownership and operational excellence.

• Lead and mentor a team of Forward Deployed Engineers deploying the North platform.
• Drive end-to-end deployment in private cloud and on-premises environments for customer success.
• Collaborate with Product, Engineering, and Sales while optimizing cloud infrastructure and K8s services.

Cohere is a security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products for real-world business problems. They are a global technology company with offices in Toronto, San Francisco, London, New York City, Montreal, Seoul, Germany, and Paris, employing a team of researchers, engineers, and designers.

• Design and build a next-generation reliability platform for Affirm's production systems, blending distributed systems engineering with AI-assisted development.
• Create AI agents and a centralized command center to assist with incident triage, root-cause analysis, and unified system health visualization.
• Own projects end-to-end, from requirements to rollout, collaborating with partner teams to build powerful, simple solutions for developers.

Affirm is reinventing credit to make it more honest and friendly, offering consumers the flexibility to buy now and pay later without hidden fees. The company is a remote-first organization with a strong focus on people-first values and inclusive benefits.

• Build and maintain infrastructure platforms for over 200 backend services running on Kubernetes clusters with 40,000+ cores.
• Lead and mentor other engineers, own complex infrastructure failures, and participate in a shared on-call rotation.
• Drive cloud cost efficiency, estimate schedules, and use AI tools as a first-class collaborator in daily workflows.

Life360's mission is to keep people close to the ones they love through location sharing, safe driver reports, and crash detection. The company serves approximately 97.8 million monthly active users across more than 180 countries and has more than 500 remote-first employees.

• Identify and prototype high-leverage AI opportunities across engineering, GTM, and operations to improve revenue, efficiency, and quality.
• Partner with functional owners to build internal workflow automations, prompt systems, and AI-enabled tools using approved platforms like Claude Code and Anthropic API.
• Document and share prototypes through demos and showcases, setting the standard for responsible, visible AI building.

Chainguard delivers hardened, secure builds of open source software for enterprises. Backed by leading investors, it serves Fortune 500 clients including OpenAI and Snap, and fosters a values-driven remote culture focused on security and innovation.