Technology Consulting - Digital Engineering - Platform​/Backend Engineer - Manager

Technology Consulting – Digital Engineering – Platform/Backend Engineer – Manager

Location:

Anywhere in Country

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

Join our dynamic Technology – Engineering & Systems Integration team as a Platform Engineer. This role is pivotal in designing, building, and maintaining the foundational infrastructure and services that power our applications. You will work closely with software engineers, Dev Ops, and data teams to ensure our platform is scalable, secure, and developer‑friendly. The Platform Engineering carries the responsibility of contributing to our technical innovation and efficiency.

In this role, you will stay hands‑on while contributing to a multifaceted team of engineers towards the goal of streamlining and automating our operations and processes. You will identify and define user/customer requirements, focusing on developing user interfaces across various platforms such as mobile, web, and tablets. You will create software components and services that interact seamlessly with upstream and downstream components, ensuring business requirements are met through effective coding and programming.

• Collaborate with clients to gather and analyze requirements.
• Design and develop user interfaces that are functional and enhance user experience.
• Write clean, maintainable code and create specifications that support business objectives.
• Design and implement robust APIs and microservices using Python, FastAPI, and OpenAPI.
• Architect and maintain containerized applications using Docker, Kubernetes, and Helm.
• Develop and optimize data models and queries using Postgre
  
  SQL and ORMs (e.g., SQL Alchemy).
• Champion test‑driven development (TDD) practices, including unit and integration testing.
• Collaborate with cross‑functional teams to build distributed systems leveraging message queues (Rabbit
  
  MQ) and caching layers (Redis).
• Integrate authentication and authorization mechanisms using Keycloak, OAuth2, OIDC, and Azure Active Directory.
• Work with Azure cloud services, including API gateways and object storage.
• Debug Kubernetes‑hosted services.
• Explore and implement interactions with AI/LLM systems, including agentic workflows, vector stores, and embedding‑based search.
• Monitor, troubleshoot, and optimize platform performance and reliability.
• Occasional contributions to CI/CD pipelines and infrastructure‑as‑code.
• Travel as needed to meet with clients.

• Strong understanding of agile delivery and development methodologies.
• Proficiency in application development tools and quality assurance practices.
• Ability to build and manage relationships with clients.
• Excellent communication skills, capable of conveying complex ideas with clarity.

• Bachelor’s degree in computer science, Software Engineering, or a related field.
• 4–6 years of relevant experience in platform engineering or a similar role.
• Strong proficiency in Python and FastAPI for backend development.
• Solid experience with microservices architecture, API design, and implementation.
• Hands‑on experience with containers, Kubernetes, and Helm.
• Deep understanding of relational databases, especially Postgre
  
  SQL, and ORM tools.
• Proven experience with unit testing, integration testing, and TDD methodologies.
• Experience with mTLS for secure service‑to‑service communication.
• Proficiency in Agile Delivery methodologies.
• Familiarity with application delivery processes, development tools, quality assurance practices, testing practices, and system development lifecycle.

• Experience building and evolving distributed systems.
• Experience with integration technologies: APIs, message queues, and caches.
• Familiarity with identity and access management tools (Keycloak, OAuth2, OIDC, AAD).
• Exposure to cloud services (Azure), including API gateways and object storage.
• Experience with LLMs, vector databases, and semantic search.
• Knowledge of CI/CD tools and infrastructure automation (Terraform,…