Technology Consulting - Digital Engineering - AI & Distributed Systems Engineer - Manager

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Location:

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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.

The Platforms Practice specializes in mission‑critical, intelligent platforms for the world’s most ambitious organizations. Using our product‑driven, AI‑centric approach, we empower organizations to build for the intelligent digital future. Our elite team of product leaders, data scientists, designers, and software engineers enable our clients to solve their most complex product challenges and positively impact people and the world. We are seeking Backend Engineers with skills and experience in Java or C#, Python, Spring Boot, .Net

or .Net Core. We are looking for highly skilled and motivated Platform Engineers to join our team. This role is pivotal in designing, building, scaling, and maintaining the foundational infrastructure and services that power our applications. You will work closely with other engineers, Dev Ops, and data teams to ensure our platform and solutions are scalable, secure, fit‑for‑purpose, and UX‑friendly.

• Design and implement robust APIs and microservices using Java, 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 (AAD).
• Work with Azure cloud services, including API gateways (APIM, Front Door) and object storage (Azure Blob and File Storage).
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• 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. numb? ;
• Occasional contributions to CI/CD pipelines and infrastructure‑as‑code.

Regular travel steering necessary.

• Ability to multitask and work in a fast‑paced, collaborative team environment.
• Excellent written and oral communication skills; writing, publishing and conference‑level presentation skills.
• Convert unclear or broad requirements into clear, actionable tasks that prioritize high‑value outcomes for our users.
• Passionate about delivering commercial software products and platforms to market.
• Deeply technical and constantly in a state of learning.
• Comfortable providing technical guidance and coaching to other engineers.
• Strive to be at the forefront of new modern technologies and bring them within the larger team.
• Ensure the successful engineering delivery of assigned projects and put hands‑on if needed.
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• Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful project outcomes.
• Proficient in Agile delivery and development methodologies.
• Experienced in application delivery processes and application development tools.
• Strong understanding of quality assurance and testing practices.
• Knowledgeable in system development lifecycle and technology integration.

• Bachelor’s degree (4‑year degree) in computer science, Software Engineering, or a related field.
• Typically no less than 4‑6 years relevant experience in professional platform engineering or similar role in software development and system administration.
• Experience building large scale distributed systems with cloud native technologies.
• Programming languages:
  Experience with Java or C#, Python, Spring Boot, .Net or .Net Core.
• A solid grounding in Computer Science fundamentals.
• Ability to communicate in written and…