Staff Software Engineer

About Business Unit:

The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative problem solvers develops and builds products that position Epsilon as a differentiator, encouraging an open and balanced marketplace built on respect for individuals, where every brand interaction holds value. Our full-cycle product engineering and data teams chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence. Driven by a passion for delivering smart end-to-end solutions, this team plays a key role in Epsilon's success story.

Why are we looking for you

At Epsilon, we run on our people's ideas. It's how we solve problems and exceed expectations. Our team is now growing, and we are on the lookout for dedicated individuals who always set the standard by constantly challenging themselves and are experts in building customized solutions in the digital marketing space. So, are you someone who wants to work with pioneering technology and enable marketers to create data-driven, omnichannel consumer experiences through data platforms Then you could be exactly who we are looking for. Apply today and be part of a creative, innovative, and experienced team that's not afraid to push boundaries or take risks.

What will you enjoy in this role

As a Software Engineer on the Agentic Platform team, you will contribute to design, delivery, technical strategy, and execution for critically important agent platform systems. Depending on level, you will implement well-scoped features, own end-to-end delivery, lead epics and mentor engineers, or define platform-wide architecture and engineering standards. You will help ensure the Agentic Platform scales securely and reliably to support sustained business growth across Epsilon product lines including loyalty, customer data, messaging, digital media, and enterprise AI capabilities.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

• Build and deliver large-scale cloud-native agent platform capabilities primarily on AWS, leveraging REST APIs, WebSockets, Server-Sent Events (SSE), microservices, and event-driven architectures to create highly scalable and resilient systems.
• Work hands-on across the technology stack — including Python, Django, TypeScript, React, FastAPI, Celery, PostgreSQL, Redis, OpenSearch, AWS Bedrock, Strands Agent SDK, MCP, Terraform, and Docker — to solve complex engineering challenges and maintain platform excellence.
• Design, develop, and operate agent runtime services including spec compilation, pre-flight authorization, skills seeding, MCP tool orchestration, streaming responses, and run package recording.
• Build and enhance agent builder and product UIs (Agent Cloud, Core Agent, responsive web) and shared frontend libraries using React 19, shadcn/ui, tanstack Query, and type-safe OpenAPI client generation.
• Implement MCP catalog, gateway, and federation capabilities; integrate domain MCP servers for loyalty, customer CDP, messaging, digital media, and related enterprise systems.
• Drive performance optimization, scalability, reliability, security, tenant isolation, governance, and cost efficiency across agent execution and platform services.
• Collaborate closely with global engineering, product management, architecture, AI/ML, and business partners to align technical solutions with strategic business objectives.
• Own the end-to-end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation.
• Contribute to observability and quality through OpenTelemetry instrumentation, Grafana/Phoenix tracing, pytest/Vitest/Playwright testing, and CI/CD pipelines.
• At Lead and Staff levels: mentor engineers, lead technical design reviews, set engineering standards, and drive cross-team initiatives for runtime performance, MCP federation, orchestration, and multi-tenant scale.
• E./B.Tech/M.Tech/MCA in Computer Science, IT, or related fields.
• 12+ years as Staff Software Engineer with expertise in scalable applications, distributed systems, and org-level technical leadership.
• Defines platform architecture (runtime, MCP federation, orchestration, multi-tenant scale) and drives standards for security, observability, reliability across teams.
• Expert in at least one area: distributed systems, LLM/agent runtime, or cloud platform engineering.
• Represents engineering in reviews, incidents, and strategic planning.
• Advanced Python and Django (REST Framework/Django Ninja) skills for backend APIs, Celery, and multi-app architectures.
• Proficient in TypeScript and React (React 19, Vite, pnpm) for modern web apps using component libraries (shadcn/ui, Radix UI, Tailwind).
• Experienced in designing scalable REST APIs, microservices, containerized workloads (Docker/ECS Fargate), and distributed systems.
• Knowledge of PostgreSQL (pgvector), Redis, OpenSearch; familiarity with document/graph stores (DocumentDB, Neo4j, MongoDB) is a plus.
• Extensive AWS experience (ECS Fargate, RDS, S3, SQS, ALB, CloudFront, Secrets Manager, IAM, Bedrock).
• Skilled in asynchronous processing (Celery, message queues), SSE/WebSocket streaming for real-time interactions.
• Authentication/authorization expertise with Okta/OIDC, JWT, claims-based access in multi-tenant SaaS.
• Hands-on IaC tools (Terraform/AWS CDK).
• CI/CD and DevOps proficiency (GoCD, CodeDeploy, ECR, GitHub/GitLab, automated pipelines).
• Strong testing practices (pytest, Vitest, Playwright), engineering best practices adherence.
• Excellent critical thinking and problem-solving abilities.
• Familiarity with Generative AI technologies (LLMs, RAG, MCP, agent orchestration, Agentic AI); hands-on preferred for senior roles.

Nice to have:

• Experience with Strands Agent SDK, AWS Bedrock AgentCore, LiteLLM, or comparable agent runtime frameworks.
• Experience building MCP servers or tool-calling integrations using FastMCP or similar frameworks.
• Experience with agent evaluation (DeepEval, Guardrails AI), LLM observability (Arize Phoenix, Langfuse, OpenTelemetry), and token metering.
• Experience with React Flow (xyflow) for workflow visualization, CodeMirror for in-browser editors, and declarative UI / SSE event streaming.
• Experience with Expo / React Native for mobile applications.
• Experience with A2A (Agent-to-Agent) protocol, cross-account AWS agent execution, and Step Functions / EventBridge orchestration.
• Working knowledge of Neo4j, Trino, Databricks, or Vertex AI RAG integrations.
• Experience building platforms in privacy-safe, Customer Data Platform (CDP), or Marketing Technology environments.
• Experience with GoCD, Husky pre-commit hooks, Orval OpenAPI code generation, and monorepo development workflows.

Specialization Tracks:

• Platform Backend — Django apps, APIs, Celery, PostgreSQL, tenant isolation, publishing workflows.
• Agent Runtime / AI — Strands SDK, Bedrock, MCP, RAG, evaluation, streaming, performance optimization.
• Frontend / UX — React apps, shadcn/ui, workflow editors, SSE streaming, type-safe API clients.
• Mobile — Expo / React Native companion application.
• Platform / Infra — Terraform, ECS, observability, CI/CD, cross-account AWS.