Software Engineer, Backend

In this role you design and operate the core backend services and platform capabilities for Epiq AI Labs’ AI-driven legal platform. You own end-to-end systems, from design to deployment and observability, enabling secure, multi-tenant, scalable AI-powered workflows. You work closely with AI engineers to deliver reliable backend foundations and contribute to production-grade software with automated testing and controlled rollouts. This position offers high autonomy, collaboration across teams, and the opportunity to shape critical infrastructure at scale.

• enterprise-wide learning and mobility
• flexible work arrangements
• strong collaboration culture
• opportunity for growth
• high autonomy and low bureaucracy
• competitive compensation (180k-260k USD)

• Design, implement, test, debug, and operate backend services, REST APIs, and platform components powering Epiq AI Labs products
• Build distributed systems, data pipelines, and asynchronous workflows with queues and event-driven patterns, focusing on concurrency, idempotency, retries, and failure recovery
• Design data models and storage across relational databases, object storage, search, and vector stores, with pragmatic schemas and indexing decisions
• Implement secure, multi-tenant capabilities including authentication, authorization, RBAC, tenant isolation, and data access controls
• Partner with AI engineers to build backend services, data pipelines, and access controls used by agent execution, retrieval, and evaluation
• Instrument services with metrics, logs, and traces; investigate production issues and participate in on-call rotation
• Use AI coding agents in development while owning design, test plans, code reviews, and verification; apply automated tests and controlled rollouts with domain validation
• Senior+ – Define foundational architecture and patterns; lead major migrations, modernization, and identify systemic risks
• Senior+ – Elevate engineering standards, build reusable platform primitives, mentor engineers, and align with product/engineering leaders while staying hands-on

• 3+ years of experience designing, building, and operating backend systems in production
• Proficiency in Python or strong proficiency in a comparable language with ability to work primarily in Python
• Strong grounding in distributed-systems fundamentals (concurrency, consistency, asynchronous processing, failure modes, idempotency)
• Experience with a major cloud platform (AWS, GCP, or Azure)
• Relational databases experience (PostgreSQL preferred)
• Experience with asynchronous or event-driven processing using message queues or task workers
• Experience designing and implementing REST APIs
• Experience with automated testing, CI, and containerized deployment; Kubernetes preferred
• Observability practices (metrics, logging, tracing)
• Experience writing technical design documents and participating in design/code reviews
• Proficiency using AI coding agents in day-to-day development with good judgment
• Self-motivated with ownership and ability to learn quickly; hands-on with new technologies

• self-motivated
• ownership
• collaboration
• Python
• Distributed systems fundamentals
• AWS / GCP / Azure