Backend Infrastructure In Jobs

Lead a team of cloud infrastructure engineers to build a cutting-edge AI cloud platform in Amsterdam.

Join Bretton AI as a Forward Deployed Engineer to integrate AI solutions in financial institutions while collaborating with enterprise customers.

Join Poolside AI as a mid-level engineer to design and implement CI/CD and tooling infrastructure for a remote-first team.

Design and scale database infrastructure for AI systems at a leading physical security startup.

Lead the backend engineering for core API infrastructure at HockeyStack, driving high-performance data access for enterprise revenue.

Join LaunchDarkly as a Backend Engineer to enhance backend services for Flag Delivery in a senior team focused on modernization and operational improvements.

Design and scale backend systems for Hedra’s developer platform, focusing on Python services and cloud infrastructure.

Join Axion as a Senior/Staff Software Engineer to build and scale data ingestion systems for a cutting-edge AI platform in manufacturing.

Join Databricks as a Senior Software Engineer focusing on backend infrastructure for a leading data and AI platform.

Join Supabase as a Software Engineer to design and build a high-performance CI/CD execution platform for developers.

Join GitLab as a Senior Backend Engineer to enhance deployment environments and improve cloud-native operations.

Join Abridge as a Senior Software Engineer to build scalable data infrastructure that drives business decisions and machine learning research.

Join Rogo as a Backend Software Engineer to automate internal systems and enhance financial workflows using AI.

Join Sleeper as a Backend Software Engineer to build scalable systems for millions of sports fans in a fast-growing startup.

Own the full lifecycle of integrations that power Hebbia’s AI, building resilient data systems across complex environments.

Join HappyRobot as a Site Reliability Engineer to enhance operational resilience and improve system uptime in a high-impact role.

Lead a team to enhance MongoDB's internal developer platform, focusing on automation and collaboration across engineering teams.

Design and implement backend features for a global platform while integrating AI into engineering workflows.