Job highlights

- Ensures scalable and resilient backend functionality,with proactive measures for increased system demands. Must have soft Skills
- bias for automation and iterative delivery. To qualify for the role,you must have
- Preferred Qualifications
- Experience with SageMaker (JumpStart,model hosting / tuning) and vector search (OpenSearch,pgvector)

Technology Consulting Title: Application Engineering Technical Lead - II

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you ll work with technologists and business experts, blending EY s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY.

That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

EY Technology:

Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day.

Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization.

EY Technology supports our technology needs through three business units:

- Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly.
- Enterprise Workplace Technology (EWT) - EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience.
- Information Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems.

We re seeking a hands-on AWS Platform Architect who is also an expert-level developer. You will set the technical direction, design and build highly resilient, highly available cloud services, and mentor teams through modern engineering practices. A robust background in AWS Generative AI services (including Amazon Bedrock) is essential, with the ability to translate business outcomes into secure, scalable, and cost-effective architectures that can be delivered iteratively.

Your key responsibilities

- Architecture Design
- Define end-to-end reference architectures leveraging AWS services (e.g., VPC, ALB/NLB, EC2, ECS/EKS, Lambda, API Gateway, S3, DynamoDB/Aurora, OpenSearch, CloudFront, Route 53).
- Engineer for resiliency and availability: multi-AZ patterns, active-active/active-passive, cross-Region DR, RTO/RPO targets, automated failover, throttling, retries, DLQs, and circuit breakers.
- Drive security-by-design using IAM least privilege, KMS, Secrets Manager, VPC endpoints/PrivateLink, WAF/Shield, GuardDuty, Security Hub, and threat-modeling practices.

- Hands-on experience building Generative AI applications on AWS using LangGraph, including:





- Designing and orchestrating multi-step agent workflows with LangGraph for tasks such as retrieval-augmented generation (RAG), tool-calling, workflow branching, and stateful interactions.
- Integrating LangGraph with Amazon Bedrock ( model invocation, guardrails, embeddings, Knowledge Bases, Agents) and AWS services such as Lambda, API Gateway, Step Functions, DynamoDB, and S3.
- Implementing secure, scalable, and cost-optimized GenAI patterns-evaluation, prompt management, latency optimization, caching strategies, and content-safety controls.
- Building production-ready GenAI microservices or platform components with observability (logs, metrics, traces), CI/CD, and automated testing.

- Build Platform Engineering

- Lead Infrastructure as Code (AWS CDK/Terraform/CloudFormation), Git-based workflows, and automated pipelines (CodePipeline/GitHub Actions/Azure DevOps) across environments.
- Set observability standards (CloudWatch, X-Ray, OpenTelemetry), SLO/error budgets, log/trace correlation, and automated runbooks.

- Performance, Reliability Cost

- Execute load and chaos testing; capacity planning; autoscaling policies; data partitioning and caching.
- Optimize TCO using Savings Plans/Reserved Instances, Graviton adoption, right-sizing, storage lifecycle policies, and cost allocation tags.

- Leadership Stakeholder Management

- Act as technical lead for cross-functional squads; decompose initiatives into deliverable architecture epics.
- Partner with Product, Security, and Operations to shape roadmaps and acceptance criteria; communicate decisions and trade-offs clearly to senior stakeholders.
- Mentor engineers; uplift engineering standards and architectural rigor through reviews and guilds.

- Provides expert-level technical leadership for critical software, middleware, or hardware projects across multiple platforms, ensuring successful architecture, development, and implementation.Evaluates and approves development options and technical deliverables. Oversees comprehensive testing for functionality, performance, and security.
- Approves technical solutions proposed by team members, resolves complex technical problems, and anticipates issues to enable preventive action.
- Acts as a key technical liaison with stakeholders, effectively communicating technical implications, project risks, and solution strategies.
- Maintains expertise in IT methodologies, architecture design, and enterprise standards; mentors staff and ensures team adoption of evolving standards.
- Reviews, authors, and approves technical documentation and architecture diagrams.
- Drives continuous improvement in technical standards, methodologies, and the adoption of emerging technologies.
- Participates in product life cycle reviews (design, code, test), and serves as a technical advisor across project meetings.
- Ensures compliance with IT and Information Security policies, validating that deliverables meet internal and external requirements.
- Leads or contributes to special projects and cross-functional initiatives as assigned.
- Applies deep server-side development skills, focusing on performance optimization, secure architecture, and database efficiency.
- Troubleshoots complex system performance issues and recommends improvements to optimize data flow across services and APIs.
- Ensures scalable and resilient backend functionality, with proactive measures for increased system demands.

Must have soft Skills

- Executive-quality communication : clear, concise narratives and visuals for both technical and non-technical audiences.
- Tech lead mentoring : setting guardrails, conducting design/code reviews, enabling teams to move independently.
- Stakeholder management: roadmap alignment, expectation setting, risk/issue management,



and conflict resolution.
- Product mindset: outcome-driven, data-informed decisions; bias for automation and iterative delivery.

To qualify for the role, you must have

- 8+ years designing and building production systems on AWS, including at least 3 years in an architect/tech-lead role with hands-on development.
- Proven delivery of highly available, highly resilient services at scale (multi-AZ and cross-Region patterns, DR strategy with defined RTO/RPO).
- Expert-level development experience in one or more languages (TypeScript/Node.js, Python, or Java) and with microservices / serverless / container platforms (Lambda, ECS/Fargate, EKS).
- Deep knowledge of AWS networking (VPC, subnets, routing, NAT, TGW, PrivateLink), security (IAM/KMS/Secrets Manager), and data (DynamoDB, Aurora, S3, event streaming with SNS/SQS/Kinesis).
- Hands-on experience delivering GenAI solutions on Amazon Bedrock (models, guardrails, RAG, Knowledge Bases) and integrating with enterprise data sources.
- Strong command of IaC, CI/CD, testing automation , and observability.
- Hands-on experience with Agile, Confluence, JIRA, and monitoring and refining

Preferred Qualifications

- Certifications:
- - AWS Certified Solutions Architect - Professional (required)
- AWS Certified DevOps Engineer - Professional (preferred)
- AWS AI/ML or Generative AI specialty (preferred, if available)

- Experience with SageMaker (JumpStart, model hosting/tuning) and vector search (OpenSearch, pgvector).
- Familiarity with Zero-Trust, security compliance (e.g., SOC2/PCI/ISO 27001), DLP, and data residency practices.
- Background with event-driven and streaming architectures; schema governance; idempotency and eventual consistency patterns.
- Prior ownership of migration/modernization programs (monolith to microservices, on-prem to AWS, or lift-and-evolve).

Soft Skills (Critical)

- Executive-quality communication : clear, concise narratives and visuals for both technical and non-technical audiences.
- Tech lead mentoring: setting guardrails, conducting design/code reviews, enabling teams to move independently.
- Stakeholder management: roadmap alignment, expectation setting, risk/issue management, and conflict resolution.
- Product mindset: outcome-driven, data-informed decisions; bias for automation and iterative delivery.

Preferred Qualifications

- Certifications:
- AWS Certified Solutions Architect - Professional (required)
- AWS Certified DevOps Engineer - Professional (preferred)
- AWS AI/ML or Generative AI specialty (preferred, if available)

- Experience with SageMaker (JumpStart, model hosting/tuning) and vector search (OpenSearch, pgvector).
- Familiarity with Zero-Trust, security compliance (e.g., SOC2/PCI/ISO 27001), DLP, and data residency practices.
- Background with event-driven and streaming architectures; schema governance; idempotency and eventual consistency patterns.
- Prior ownership of migration/modernization programs (monolith to microservices, on-prem to AWS, or lift-and-evolve).

Ideally, you ll also have

- Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
- Be highly flexible, adaptable, and creative.
- Comfortable interacting with senior executives (within the firm and at the client)

What we look for

- Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values.

We offer a competitive remuneration package where you ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. : Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 DE-Application Engineer Technical Lead- II-VG (Hyderabad)
🏢 EY
📍 Hyderabad