Senior Software Engineer

Overview 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. 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.

Responsibilities

• Build and deliver large-scale cloud-native agent platform capabilities primarily on AWS, using 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.

Qualifications

• Bachelor s or Master s degree (B.E./B.Tech/M.Tech/MCA) in Computer Science, Information Technology, or a related discipline.
• Experience relevant to the target level: 5 7 years as a Senior Software Engineer, with demonstrated proficiency in developing scalable applications and distributed systems.
• Extensive hands-on experience in Python and Django, including Django REST Framework and/or Django Ninja, for production API development, data modeling, Celery worker implementation, and multi-app backend architectures.
• Advanced skills…