Software Engineer, Infrastructure

In this role you will design, build, and operate the cloud infrastructure and automation powering Epiq AI Labs’ platform. You’ll manage infrastructure as code, Kubernetes, CI/CD, and security across cloud and on‑prem environments, collaborating with backend, AI, product, and security teams. You’ll ensure reliability, scale, and secure deployment of in‑house AI models and services. This is a chance to shape foundational platform patterns and lead migrations at scale while owning end‑to‑end outcomes.

• enterprise‑wide learning and mobility
• flexibility that respects life beyond work
• high autonomy and low bureaucracy
• opportunity to work at scale with AI tooling
• competitive compensation with potential bonus
• modern platforms and AI integration

• Develop and maintain Terraform modules and infrastructure automation for provisioning and drift remediation
• Operate production Kubernetes including autoscaling, networking, and cluster lifecycle
• Build and maintain CI/CD and GitOps with progressive delivery and safe rollouts
• Manage Epiq‑managed GPU infrastructure (cloud and on‑prem) for model serving and scheduling
• Define platform SLAs and implement metrics, tracing, and alerting to support them
• Implement security/compliance infra including audit logging, data residency, retention, and legal hold
• Manage secrets, certificates, and TLS lifecycle infrastructure
• Contribute to AI‑native developer tooling, docs, and architectural reviews
• Participate in on‑call rotation, runbooks, backups, and incident postmortems
• Senior+: define architecture patterns, lead migrations, and capacity planning while ensuring availability
• Senior+: raise engineering bar, mentor engineers, and guide technical direction while delivering production software

• 3+ years in infrastructure/platform engineering or site reliability engineering
• Experience building and operating production infrastructure with on‑call responsibility
• Hands‑on experience with at least one cloud platform (AWS, GCP, or Azure)
• Terraform and reusable module design
• Production Kubernetes experience (scaling, upgrades, networking)
• CI/CD pipelines ownership (GitHub Actions, Azure DevOps, or similar)
• Observability tools (Prometheus, Grafana, OpenTelemetry)
• Secrets and certificates management in production
• Proficiency in Python or Go for production tooling
• Experience using AI coding agents in development
• Strong system design and technical documentation skills
• Self‑motivated with ownership and rapid learning
• Senior+: track record of delivering complex platform/distributed systems and capacity planning
• Senior+: ability to lead technically across teams and communicate trade-offs

• ownership
• collaboration
• problem solving
• Terraform (modules, IaC)
• Kubernetes (production ops)
• CI/CD and GitOps