Job
Description
About The Role
Project Role :Full Stack Engineer
Project Role Description :Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills :Docker Kubernetes Architecture and Design
Good to have skills :Infrastructure As Code (IaC), Ansible on Microsoft Azure, Cloud Automation DevOps
Minimum 7.5 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:We are looking for a Senior Full Stack Platform Engineer with 8+ years of experience to lead enterprise platform engineering strategy and architecture. You will define golden paths, drive platform adoption, and enable developer productivity through internal developer platforms, automation, and secure-by-design practices. This is a leadership role requiring both technical depth and cross-functional influence.You will shape the platform engineering vision, define standards, ensure resilience, security, and cost efficiency, and guide modernization journeys for global clients.You will also be responsible for capability development initiatives, writing Points of View (POVs), white papers, and developing new assets. Roles & Responsibilities:
Define and implement enterprise-wide platform strategy across cloud, DevOps, Kubernetes, IaC, AI-enabled workflows, and application deployment.Architect secure, scalable cloud landing zones with integrated CI/CD, observability, compliance automation, and cost optimization.Establish governance frameworks, policy-as-code, and security guardrails for multi-cloud and hybrid platforms.Lead the design of internal developer platforms (IDP), golden paths, and reusable service catalogs.Mentor and guide platform engineering teams, driving adoption of best practices and modern patterns (GitOps, DevSecOps, SRE).Integrate advanced deployment strategies (blue-green, canary, chaos engineering, automated rollback).Collaborate with enterprise architects, security teams, and application teams to ensure alignment with business goals.Evangelize platform engineering principles across the organization via communities of practice.Evaluate and integrate AI/ML and GenAI capabilities into CI/CD, observability pipelines, cloud operations, and security workflows. Lead integration of AI services such as AWS Bedrock, Azure OpenAI, Google Vertex AI into secure landing zones.Architect AI-powered platform automation including:Intelligent code generation, IaC reviews, and policy validationAI-driven anomaly detection, incident triage, drift detectionautomated insights for cost optimization, capacity planning, and performance tuningImplement Agentic Automation using multi-agent systems for:Self-healing infrastructureAuto-remediation workflowsCompliance and security guardrail enforcementCost & performance optimizationGuide teams on LLM adoption patterns, embeddings, vector databases, inference optimization, and integration of AI features into platform services.Build strategy and standards for:AI governance, responsible AI, model evaluation frameworksprompt engineering, prompt orchestration, retrieval-augmented generation (RAG)secure AI deployment on enterprise-grade infrastructureBring an architectural perspective to the full AI lifecycle:data readiness, model selection, evaluation, deployment, monitoring, and value realization. Professional & Technical
Skills:Proven expertise in multi-cloud architecture (AWS, Azure).Deep hands-on experience with Kubernetes (multi-cluster, service mesh, operators/CRDs) and GitOps-based delivery.Mastery of IaC architecture and policy-as-code (Terraform Enterprise, Crossplane, OPA, Sentinel, Pulumi, Ansible).Ability to design enterprise DevOps platforms (self-service CI/CD, observability, governance, security scanning).Strong architectural vision across infrastructure, security, databases, and application delivery.Ability to write and orchestrate deployment scripts (Bash, PowerShell, Ansible, Python).Integrate Enterprise Observability & Reliability solutions (Prometheus, Grafana, ELK, Splunk, New Relic, SRE practices)Demonstrated ability to lead cross-functional platform transformations.Cost & Governance:FinOps, optimization frameworks, governance automationExceptional communication, collaboration, and leadership skills.GenAI & Emerging Technologies:Generative AI (Core)Strong understanding of LLMs, embeddings, vector databases, prompt engineering, RAG architectures.Hands-on experience integrating cloud-based GenAI (Bedrock, Azure OpenAI, Vertex AI).Ability to drive AI project delivery:discovery ? solution design ? prototyping ? deployment.Agentic AIExperience with multi-agent frameworks for self-healing infrastructure, cost automation, and enforcement of security guardrails.Understanding of planning, task decomposition, autonomy, and AI-driven decision workflows.AI/ML FundamentalsSolid foundation in machine learning concepts:supervised & unsupervised learning, model evaluation, data analysis, and statistical reasoning.Knowledge of neural networks, transformers, embeddings, and NLP fundamentals. Executive certifications:Cloud Professional Certification (Any 2)AWS:Solutions Architect Professional, DevOps ProfessionalAzure:Solutions Architect Expert, DevOps Engineer ExpertDevOps Professional (Any One)AWS:DevOps ProfessionalAzure:DevOps Engineer ExpertTerraform (Any One):HashiCorp Certified:Terraform AssociateKubernetes (Any 2):Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Certified Kubernetes Security Specialist (CKS)
Additional Information:The candidate should have minimum 7.5 years of experience in Docker Kubernetes Architecture and Design.This position is based at our Bengaluru office.A 15 years full time education is required.
Qualification 15 years full time education
