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Ernst & Young

Global professional services: consulting, assurance, tax

DE-Application Engineer Technical Lead-II-VG-CS0048-B1

AI Application Engineering +1Updated on Nov 14
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience designing and building production systems on AWS, including at least 3 years in an architect or technical lead role with hands-on development.
  • Proven ability to deliver highly available and resilient services at scale, including multi-Availability Zone and cross-Region patterns and disaster recovery strategies with defined recovery time and recovery point objectives.
  • Expert-level development experience in one or more of TypeScript/Node.js, Python, or Java, and experience with microservices, serverless, or container platforms such as Lambda, ECS/Fargate, or EKS.
  • Deep knowledge of AWS networking, including VPC, subnets, routing, NAT, Transit Gateway, and PrivateLink; security services including IAM, KMS, and Secrets Manager; and data services including DynamoDB, Aurora, S3, and event streaming with SNS, SQS, or Kinesis.
  • Hands-on experience delivering generative AI solutions on Amazon Bedrock, including models, guardrails, retrieval-augmented generation, Knowledge Bases, and integration with enterprise data sources.
  • Strong command of infrastructure as code, continuous integration and continuous delivery, automated testing, and observability.
  • Hands-on experience with Agile, Confluence, JIRA, and monitoring and refining.
  • AWS Certified Solutions Architect – Professional certification is required.
  • Clear, concise communication using narratives and visuals for technical and non-technical audiences.
  • Ability to set technical guardrails, conduct design and code reviews, and enable teams to work independently.
  • Ability to align roadmaps, set expectations, manage risks and issues, and resolve conflicts with stakeholders.
  • Outcome-driven, data-informed product decision-making, with an emphasis on automation and iterative delivery.

Responsibilities

  • Define end-to-end reference architectures using AWS services, including VPC, ALB/NLB, EC2, ECS/EKS, Lambda, API Gateway, S3, DynamoDB/Aurora, OpenSearch, CloudFront, and Route 53.
  • Engineer for resiliency and availability using multi-Availability Zone patterns, active-active or active-passive designs, cross-Region disaster recovery, recovery time and recovery point objectives, automated failover, throttling, retries, dead-letter queues, and circuit breakers.
  • Apply security-by-design using least-privilege IAM, KMS, Secrets Manager, VPC endpoints/PrivateLink, WAF/Shield, GuardDuty, Security Hub, and threat-modeling practices.
  • Design and orchestrate multi-step agent workflows with LangGraph for retrieval-augmented generation, tool-calling, workflow branching, and stateful interactions.
  • Integrate LangGraph with Amazon Bedrock model invocation, guardrails, embeddings, Knowledge Bases, and Agents, and with AWS Lambda, API Gateway, Step Functions, DynamoDB, and S3.
  • Implement secure, scalable, and cost-optimized generative AI patterns covering evaluation, prompt management, latency optimization, caching strategies, and content-safety controls.
  • Build production-ready generative AI microservices or platform components with observability, continuous integration and delivery, and automated testing.
  • Lead infrastructure as code using AWS CDK, Terraform, or CloudFormation; Git-based workflows; and automated pipelines using CodePipeline, GitHub Actions, or Azure DevOps across environments.
  • Set observability standards using CloudWatch, X-Ray, and OpenTelemetry, including service-level objectives/error budgets, log and trace correlation, and automated runbooks.
  • Execute load and chaos testing, capacity planning, autoscaling policies, data partitioning, and caching.
  • Optimize total cost of ownership using Savings Plans or Reserved Instances, Graviton adoption, right-sizing, storage lifecycle policies, and cost-allocation tags.
  • Act as technical lead for cross-functional squads and decompose initiatives into deliverable architecture epics.
  • Partner with Product, Security, and Operations to shape roadmaps and acceptance criteria, and communicate decisions and trade-offs to senior stakeholders.
  • Mentor engineers and improve engineering standards and architectural rigor through reviews and guilds.
  • Provide expert-level technical leadership for critical software, middleware, or hardware projects across multiple platforms, ensuring successful architecture, development, and implementation.
  • Evaluate and approve development options and technical deliverables, and oversee comprehensive functionality, performance, and security testing.
  • Approve technical solutions proposed by team members, resolve complex technical problems, and anticipate issues to enable preventive action.
  • Serve as a technical liaison with stakeholders, communicating technical implications, project risks, and solution strategies.
  • Maintain expertise in IT methodologies, architecture design, and enterprise standards; mentor staff and ensure team adoption of evolving standards.
  • Review, author, and approve technical documentation and architecture diagrams.
  • Drive continuous improvement in technical standards and methodologies and adoption of emerging technologies.
  • Participate in product life cycle reviews covering design, code, and testing, and serve as a technical advisor across project meetings.
  • Ensure compliance with IT and Information Security policies and validate deliverables against internal and external requirements.
  • Lead or contribute to special projects and cross-functional initiatives as assigned.
  • Apply deep server-side development skills to performance optimization, secure architecture, and database efficiency.
  • Troubleshoot complex system performance issues and recommend improvements to optimize data flow across services and APIs.
  • Ensure scalable and resilient backend functionality, with proactive measures for increased system demands.

Desired Qualifications

  • AWS Certified DevOps Engineer – Professional certification.
  • AWS AI/ML or Generative AI specialty certification, if available.
  • Experience with SageMaker, including JumpStart and model hosting or tuning, and vector search using OpenSearch or pgvector.
  • Familiarity with Zero Trust, security compliance such as SOC 2, PCI, or ISO 27001, data loss prevention, and data residency practices.
  • Background with event-driven and streaming architectures, schema governance, idempotency, and eventual consistency patterns.
  • Prior ownership of migration or modernization programs, including monolith-to-microservices, on-premises-to-AWS, or lift-and-evolve migrations.
  • Strong verbal and written communication, facilitation, relationship-building, presentation, and negotiation skills.
  • Flexibility, adaptability, and creativity.
  • Comfort interacting with senior executives within the firm and at the client.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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