At Epiq , your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.
Job Description:
Epiq AI Labs is the innovation and engineering hub behind Epiq’s next-generation AI platform for corporate legal departments and global law firms. Operating with the speed and autonomy of a startup and the resources of a global alternative legal services provider, the team builds intelligent agents, reasoning engines, knowledge systems, and structured workflows for litigation, investigations, compliance, and corporate knowledge work.
We are fast, experimental, and product-obsessed, with high autonomy, high trust, and low bureaucracy. We ship to real legal clients and hold a high bar for correctness, and we use AI tools throughout our own development workflow. The team is deeply technical, highly collaborative, and owns its systems end to end — you design it, you build it, you ship it.
The Opportunity
You will build and operate the cloud infrastructure and automation behind Epiq AI Labs’ AI platform, including infrastructure as code, Kubernetes, CI/CD, networking, secrets, and observability across Azure, AWS, and Epiq-managed on-prem GPU environments. Writing, testing, debugging, and reviewing infrastructure code and automation are daily responsibilities at every level, including Principal. Ownership extends from design through production operation, with scope matched to your level.
Infrastructure is treated as a product whose reliability, scalability, and security shape the capabilities of the entire platform. You will partner closely with backend engineering, AI engineering, product management, and security to establish deployment, observability, and security patterns that can scale with the organization.
Essential Job Responsibilities
Write, test, review, and maintain reusable Terraform modules and infrastructure automation for provisioning, environment configuration, and drift detection and remediation.
Operate Kubernetes in production, including orchestration, autoscaling, resource governance, network policy, and cluster lifecycle management.
Build and maintain CI/CD and GitOps release automation, improving build and test feedback and targeting zero-downtime rollouts through progressive delivery, safe rollback, and protection of in-flight requests and long-running jobs.
Operate the Epiq-managed GPU infrastructure (cloud and on-prem) that serves Epiq AI's in-house models: cluster management and scheduling, utilization and cost, observability, and model-serving reliability.
Define platform service-level objectives and build the metrics, tracing, alerting, and error-budget practices required to support them.
Implement security and compliance infrastructure, including hardening, audit logging, data-residency controls, retention, legal hold, and audit evidence collection.
Build and maintain network, secrets, key, credential, TLS, and certificate-lifecycle infrastructure.
Use AI coding agents throughout development while owning the outcome — the design, specifications and test plans, code review, and verification of correctness, security, and maintainability — and ship major changes behind automated tests and controlled rollouts, with stakeholder validation where appropriate.
Build and maintain AI-native developer tooling and technical design documentation, and contribute to architectural reviews.
Participate in the on-call rotation and incident response; maintain runbooks, test backup and restore procedures, and turn incident findings into lasting fixes.
Senior+ level: Define the foundational infrastructure…