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:
Job Summary
We are seeking a Staff Software Engineer with strong hands-on expertise in Python, FastAPI, and cloud-native architecture. The ideal candidate has evolved from a Java foundation into a Python-first engineering mindset, with proven experience designing and scaling AI-enabled, microservices-based SaaS products.
You will be responsible for architecting and implementing robust, scalable, and secure systems, integrating Azure AI / LLM-based solutions, and driving engineering excellence across teams. This is a hands-on leadership role that combines architecture vision, system design, and technical mentorship.
You’ll work closely with Product and Architecture teams to translate business challenges into innovative technology solutions while ensuring reliability, performance, and maintainability at scale.
Key Responsibilities
- Architect and build high-performance, scalable backend systems using Python and FastAPI within a distributed microservices environment.
- Design, integrate, and optimize solutions leveraging Azure AI Services, OpenAI APIs, and LLM-based architectures (RAG, embeddings, GenAI pipelines).
- Collaborate with cross-functional teams (Product, Data, DevOps, Frontend) to drive end-to-end solution delivery — from architecture to deployment.
- Lead and mentor engineers, perform code reviews, and instill best practices in design, testing, and observability.
- Contribute to defining and evolving technical standards, frameworks, and architecture principles across the engineering organization.
- Ensure systems are resilient, observable, and performant, with strong emphasis on logging, monitoring, and failover mechanisms.
- Participate in architectural discussions and make technology recommendations aligned with product and business goals.
- Drive continuous improvement in engineering processes, CI/CD practices, and system design quality.
- Partner with data and AI teams to operationalize AI/ML models and embed intelligence into production-grade systems.
- Stay current on emerging technologies, evaluate their potential impact, and advocate adoption where relevant.
Required Skills and Experience
Core Must-Have Skills
- Primary Language: Python (expert-level backend engineering)
- Frameworks: FastAPI (preferred) or Django/Falcon
- Cloud: Azure (hands-on with Azure AI, Cognitive Services, or OpenAI integrations)
- AI/LLM Exposure: Experience with LLMs, RAG, vector databases, embeddings, or GenAI solutions
- Architecture: Microservices, event-driven systems, distributed computing, and scalability design
- Databases: PostgreSQL, Redis, DynamoDB, or equivalent (SQL + NoSQL)
- Data & Messaging: Kafka, Airflow, dbt, or equivalent orchestration tools
- Observability: OpenTelemetry, Prometheus, ELK stack, or equivalent
- DevOps & CI/CD: Docker, Kubernetes, Terraform/CloudFormation, GitLab CI/CD or Azure DevOps
- Testing: Pytest, TDD, unit/integration testing frameworks
- Security & IAM: Auth0, Keycloak, OAuth2, JWT
Nice to Have / Preferred
- Early career experience in Java, transitioned into Python-first systems
- Familiarity with LangChain or similar AI orchestration frameworks
- Experience with MCP certification or cloud architecture credentials (Azure/AWS)
- Exposure to GraphQL, gRPC, or API Gateway patterns
- Prior experience in product companies or scale-ups with mature, high-traffic systems
Ideal Candidate Attributes
- Hands-on architect and builder — not purely managerial.
- Strong understanding of system design trade-offs (latency, reliability, cost, performance).
- Experience working on large-scale SaaS or enterprise-grade products.
- Ability to mentor and elevate engineering teams through technical leadership.
- Passion for innovation, AI integration, and next-gen cloud architectures.
- Clear, structured communication with ability to influence design decisions.
Education
- B.Tech / B.E. / M.Tech / M.S. in Computer Science (CSE), Information Technology (IT) or Data Science (AI/ML) streams.
It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.
