And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events.
Key Responsibilities
You Will Build
Platform Workflows and Services: You will design and enhance platform services that support internal engineering workflows across Internal Developer Platform(IDP) and adjacent fleet systems. This includes APIs, workflow orchestration, service integrations, and operator-facing tooling. Apply AI-First approach in designing solutions where consumers can also be AI-agents or agentic workflows and not just humans.
Testbed Governance: You will help evolve the IDP by improving on-demand testbed workflows using AI feedback loops, lease enforcement, policy based governance, lifecycle control, and clean automation.
Dashboarding and Observability: You will build and improve live dashboards and data visibility workflows that provide a birds-eye view of test runs, support triage, and help teams understand product and infrastructure trends. Work on clean data such that data insights can be fed to AI based workflows that can make real-time decisions on workload placement and forecasting.
Platform Reliability: You will debug complex workflow and infrastructure issues, improve correctness and operational behavior, and harden services used by engineering teams every day.
Design, build, and maintain platform services and automation used by internal engineering teams.
Contribute to IDP, APIs, dashboards, Agentic workflows and supporting data models.
Improve testbed lifecycle management, lease enforcement, and service integrations for on-demand infrastructure use cases.
Collaborate with cross-functional teams to implement scalable, reliable, and secure platform solutions.
Automate and optimize infrastructure provisioning, deployment, and operational workflows.
Identify bottlenecks, bugs, and architectural gaps, and drive robust fixes that improve system behavior and user trust.
Ensure code quality through design reviews, code reviews, and comprehensive testing.
Create documentation, knowledge transfer, and operational clarity so systems are easier
Requirements
Strong software engineering fundamentals and experience building backend or platform systems.
Experience with Linux systems, automation, and production-grade debugging.
Experience with Go and scripting for infrastructure or platform automation.
Experience with APIs, service integrations, and workflow-based systems.
Strong problem-solving skills and the ability to work independently in ambiguous areas.
Ability to work across teams and turn operational pain points into reliable platform improvements
Experience building internal platforms, developer productivity tools, or infrastructure services.
Experience with observability, dashboards, or engineering-facing operational tooling.
Familiarity with Kubernetes, containerized systems, or fleet-scale infrastructure management.
Experience contributing to large-scale distributed systems or open source ecosystems.
Experience improving service reliability, governance, and lifecycle control for shared infrastructure.
Ready to Apply?
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