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

Join to apply for the Technology Consulting - Digital Engineering - AI & Distributed Systems Engineer - Manager role at EY

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 to build a better working world. The opportunity is in our Platforms Practice, which specializes in mission-critical, intelligent platforms and uses a product-driven, AI-centric approach to empower organizations to build for the intelligent digital future.

Your Key Responsibilities

• The goal is to support our clients to transform their business through technology. You will be responsible for analyzing, designing, developing, integrating, testing, and deploying new and existing software application programs.
• You will work with customers’ technical leads, client executives, and partners to manage and deliver high-quality systems with a focus on reliability and excellent customer experience, becoming a trusted advisor to decision-makers throughout the engagement.
• As a Manager, you will lead the effective management and delivery of processes, solutions, and projects, ensuring a strong focus on quality and risk management. You will engage regularly with external clients, actively participating in working sessions and leading work streams from planning through execution and closure.

• 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).
• Creating and debugging 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.

Skills And Attributes For Success

To thrive in this role, you will need a blend of technical and business skills that will make a significant impact. Your ability to build and manage relationships, communicate effectively, and lead teams will be essential.

• 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 putting hands-on if needed
• Work with the engineering team to package best practices and lessons learned into thought leadership and published assets
• 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

Required Qualifications

• Bachelor’s degree (4-year) in computer science, Software Engineering, or a related field
• Typically, no less than 4-6 years relevant…