Software Engineer, Infrastructure, AI Labs

Overview In this role you’ll build and run the cloud infrastructure that powers Epiq AI Labs’ AI platform. You’ll own infrastructure from design to production, focusing on reliability, scalability, security, and observability. You’ll collaborate with backend, AI, product, and security teams to scale deployment, monitoring, and compliance. You’ll work in a fast-moving, collaborative environment that treats infrastructure as a product and aims for end-to-end ownership. This is a chance to shape a cutting-edge platform at scale. Compensation / Benefitsenterprise-wide learningmobility programsflexible work arrangementsgrowth opportunities Responsibilities Design and implement cloud infrastructure with Terraform, including modular components and drift detection Operate production Kubernetes clusters with autoscaling, resource governance, network policy, and lifecycle management Build and maintain CI/CD and release pipelines with progressive delivery and rollback capabilities Define platform service-level objectives and establish metrics, tracing, alerting, and error budgets Implement security and compliance infrastructure, including hardening, audit logging, data residency controls, retention, and audit evidence collection Manage networks, secrets, keys, credentials, TLS, and certificate lifecycles Contribute to incident response, post-incident reviews, developer tooling, design docs, and platform readiness Key requirements 3+ years in infrastructure/platform/SRE roles Experience operating production infrastructure with on-call responsibility Hands-on with major cloud platforms (AWS, GCP, or Azure)IaC experience with Terraform and modular design Production Kubernetes experience with scaling, upgrades, resource limits, and troubleshooting Ownership of CI/CD pipelines (Git Hub Actions, Azure Dev Ops, or similar)Observability tooling experience (Prometheus, Grafana, or Open Telemetry) with SLOsIncident-command experience in production Secrets and certificate management at scale Python, Go, or similar for tooling/automation Strong system-design and architectural documentationcollaborative mindsetstrong communicationownership and accountability Terraform (modules, drift detection)Kubernetes production operationsCI/CD tooling (Git Hub Actions, Azure Dev Ops)