Senior Software Engineer
Epsilon
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.
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 in TypeScript and React (React 19, Vite, pnpm monorepos) for creating modern web applications utilizing component libraries such as shadcn/ui, Radix UI, and Tailwind CSS.
- Proven track record in designing and constructing scalable REST APIs, microservices, containerized workloads (Docker/ECS Fargate), and distributed systems.
- Competence with PostgreSQL (including pgvector), Redis, and search/indexing systems (OpenSearch); familiarity with document and graph databases (DocumentDB, Neo4j, MongoDB) is advantageous.
- Experience working with AWS services, including ECS Fargate, RDS, S3, SQS, ALB, CloudFront, Secrets Manager, IAM, and AWS Bedrock, supporting the development of scalable and reliable cloud-native AI platforms.
- Expertise in asynchronous processing using Celery and message queues; knowledge of SSE/WebSocket streaming for real-time agent and voice interaction solutions.
- Experience implementing authentication and authorization protocols using Okta/OIDC, JWT, and claims-based access control within multi-tenant SaaS platforms.
- Practical experience with Infrastructure as Code (IaC) tools such as Terraform and/or AWS CDK.
- Understanding of CI/CD and DevOps methodologies through the use of tools like GoCD, CodeDeploy, ECR, GitHub/GitLab, and automated deployment pipelines.
- Ability to establish comprehensive testing strategies encompassing unit, integration, and end-to-end testing (pytest, Vitest, Playwright), while maintaining engineering best practices.
- Excellent critical thinking and analytical capabilities, enabling effective diagnosis, troubleshooting, and resolution of complex technical challenges.
- Awareness and exposure to Generative AI technologies, including LLMs, RAG architectures, MCP (Model Context Protocol), agent orchestration, and Agentic AI systems; hands-on experience is 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.
Additional Information
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
- People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
- Collaboration: We work together, support one another, and collectively achieve goals.
- Growth: There are endless opportunities for growth through learning, development and career advancement.
- Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
- Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.
Our values guide us to create value for our clients, our people and consumers.
- Act with integrity
- Work together to win together
- Innovate with purpose
- Respect all voices
- Empower with accountability
These pillars and values are our foundation-shaping our culture, guiding our decisions, and uniting us in common purpose.
Epsilon is an Equal Opportunity Employer.
Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.