Mandatory Skill - Senior Architect (Java, Spring Boot, Angular, Node JS, React, React Native, AWS, SQL queries, Github, Bitbucket, Bamboo, CI/CD, TDD/BDD, Kore.ai)
Experience - 15+ Years
Location - Hyderabad
Notice Period - Immediate - 30 days
JD - AWS Platform Architect
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 strong 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.
• Build & Platform Engineering
o Lead Infrastructure as Code (AWS CDK/Terraform/CloudFormation), Git‑based workflows, and automated pipelines (CodePipeline/GitHub Actions/Azure DevOps) across environments.
o Set observability standards (CloudWatch, X‑Ray, OpenTelemetry), SLO/error budgets, log/trace correlation, and automated runbooks.
• Performance, Reliability & Cost
o Execute load and chaos testing; capacity planning; autoscaling policies; data partitioning and caching.
o Optimize TCO using Savings Plans/Reserved Instances, Graviton adoption, right‑sizing, storage lifecycle policies, and cost allocation tags.
• Leadership & Stakeholder Management
o Act as technical lead for cross‑functional squads; decompose initiatives into deliverable architecture epics.
o Partner with Product, Security, and Operations to shape roadmaps and acceptance criteria; communicate decisions and trade‑offs clearly to senior stakeholders.
o Mentor engineers; uplift engineering standards and architectural rigor through reviews and guilds.
• 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.
