Professional Experience
Seven years building reliable cloud infrastructure and DevOps platforms across AWS, GCP, Azure, and production-grade CI/CD pipelines.
Key Achievements
🎤
AWS re:Invent Speaker/Advocate
Represented Roche at AWS re:Invent 2025, collaborating with AWS TAMs on service roadmaps.
🏆
Technical Excellence
Multiple internal recognitions for AIOps innovation and multi-cloud architecture leadership.
📐
Architecture Design
Service architecture design for multi-cloud Golden Image pipelines and serverless governance.
📚
Documentation
Extensive technical documentation, SOPs, and video tutorials for global engineering teams.
Conference Attendance
☁️
AWS re:Invent 2025
Las Vegas, USA
🌐
KubeCon + CloudNativeCon
India 2025 • Hyderabad
Career Timeline
Detailed work experience in chronological order (most recent first)
Roche Information Solutions India
Pune, India
Jan 2025 – Present
Present
Professional Experience
- Multi-Cloud Architecture: Lead the team’s expansion from AWS to a multi-cloud environment (GCP and Azure), architecting a hardened OS Image pipeline supporting 500+ AWS accounts and 200+ GCP/Azure accounts
- Infrastructure Deliverables: Engineered automation to support 5 distinct Operating Systems and 20 variants tailored for Base, EKS, ECS, GKE, Deep Learning, and Parallel Clusters etc.
- CI/CD Orchestration: Deployed tenant-isolated GitLab runners on EKS and GKE; which currently supports over 1,000 weekly GitLab jobs across 5 separate tenant teams.
- Serverless Governance: Architected a centralized AWS Patching-Service utilizing serverless & event-driven automation to manage monthly patching for 1,000+ EC2 instances across 500+ AWS accounts
- Technical Leadership: Served as Interim Team Lead; managed end-to-end recruitment, onboarding, and goal-setting while collaborating with Product Managers to define delivery timelines
- AIOps Innovation: Developed an LLM-integrated CLI tool for advanced debugging; implemented data & prompt engineering for log processing to optimize token usage, resulting in improved accuracy and cost efficiency
- Strategic Planning: Leading the zero-downtime migration of CI pipelines and codebase from GitLab to GitHub
- RAG Implementation: Developed a Proof of Concept (POC) RAG pipeline on AWS to enhance the internal documentation portal
- Professional Advocacy: Represented Roche at AWS re:Invent 2025, collaborating with AWS Technical Account Managers (TAMs) to align service roadmaps with organizational requirements
Tech Stack:
AWS (EKS, Lambda, EventBridge, Systems Manager, Bedrock, RAG, Athena, S3) • GCP (GKE, Cloud Build) • Azure • LLMs • Kubernetes (KEDA) • Terraform • GitLab CI/CD • GitHub Actions • Packer • Ansible • Python
Roche Information Solutions India
Pune, India
Jul 2023 – Jan 2025
1 year 6 months
Professional Experience
- Service Ownership: Designed and launched an event-driven, serverless patch management MVP that achieved rapid adoption by 10+ product teams across 30 AWS accounts
- Cost & Pipeline Optimization: Refactored deployment pipelines for EKS clusters and AMI distributions to save approximately $10,000 Quarterly, and eliminated manual work by building self-service pipelines for cross-org image copying and EC2 SSM document management.
- Security & Governance: Managed the AWS Account management pipeline, implementing SCPs and IAM hardening based on security protocols
- Data-Driven Growth: Developed a statistics and data processing pipeline to track patching service adoption metrics, using these insights to drive new feature development based on user pain points
- Release Management: Directed monthly release cycles, ensuring full compliance with release notes and distribution reporting
- Enablement: Authored comprehensive service documentation and recorded technical tutorial videos to streamline team and end-user onboarding
Tech Stack:
AWS (EKS, Lambda, EventBridge, SSM, S3, Athena) • Terraform • GitLab CI/CD • Helm • Packer • Ansible • Docker • Python • Jinja2 • Bash
Amazon Development Centre India
Hyderabad, India
Mar 2022 – Jun 2023
1 year 3 months
Professional Experience
- High-Scale Data Engineering: Designed and implemented high-throughput AWS Lambda workflows to process TB-scale CSV/JSON data from S3
- Lambda Optimization: Overcame execution timeout constraints by leveraging asynchronous invocation, file indexing, and function chaining to optimize data ingestion into DynamoDB
- Infrastructure Migration: Orchestrated a large-scale HTTP(s) VIP migration, transitioning legacy infrastructure from NetScaler to AWS native load balancers (ALB/NLB)
- Migration Strategy: Developed comprehensive rollback and automation strategies, including IAM role design, prerequisite validation, and migration timeline planning
- Incident Management: Served as the Primary On-Call POC for high-severity incidents, executing mitigation strategies and Root Cause Analysis (RCA) to minimize customer impact
- Operational Excellence: Authored detailed technical documentation, SOP guide books, and mitigation playbooks using Draw.io, which expedited team onboarding and reduced recurring incidents
- Observability & Monitoring: Led KPI-driven monitoring initiatives, identifying critical metrics and anomalies to enhance proactive system alerting
- Serverless Automation: Engineered AWS-based serverless tools for organizational ticket tracking and process automation, improving overall operational scalability
- Global Collaboration: Partnered with globally distributed teams to conduct system design reviews and ensure production-ready code quality for robust deliverables
Tech Stack:
AWS (Lambda, S3, DynamoDB, ALB/NLB, CloudWatch, SNS, SQS) • Python • Draw.io • On-Call Operations • Root Cause Analysis
Tata Consultancy Services
Nagpur, India
Jul 2019 – Mar 2022
2 years 9 months
Professional Experience
- Cloud Migration & IaC: Provisioned scalable AWS compute and storage resources using Terraform and CloudFormation to support large-scale cloud migration projects
- Infrastructure Automation: Automated custom AMI creation and tool-baking processes using Packer and Ansible, ensuring environment consistency across the organization
- Disaster Recovery (DR) Engineering: Engineered "point-in-time" disaster recovery solutions; developed automated failover mechanisms using Jenkins jobs triggered by SQS and Lambda-based monitoring
- CI/CD Orchestration: Managed robust Jenkins CI/CD pipelines for microservices and Micro Frontends (MFEs), leveraging shared libraries and multibranch pipelines integrated with AWS CLI and SSM
- Observability & Alerting: Automated infrastructure monitoring using CloudWatch, SNS, and Lambda to ensure high availability and rapid incident response
- Client Management & SOPs: Facilitated infrastructure knowledge transfers and project updates for clients; authored documentation and SOPs to standardize Change Management and onboarding processes
Tech Stack:
AWS (EC2, S3, CloudWatch, SNS, SQS, Lambda) • Terraform • CloudFormation • Jenkins • Packer • Ansible • Docker • Kubernetes • Python • Bash
Complete Technical Skillset
🤖 AIOps & AI
- LLM Integration (Amazon Bedrock)
- RAG Pipeline implementation
- Prompt Engineering for DevOps logs
- AI-driven operational excellence
☁️ Cloud Platforms
- AWS: EKS, Lambda, S3, DynamoDB, EventBridge, Systems Manager, Bedrock
- GCP: GKE, Compute Engine, Cloud Functions, Cloud Storage
- Azure: Compute, Storage, Governance
- Multi-cloud architecture & cost optimization
🏗️ Infrastructure as Code
- Terraform (modules, remote state, workspaces)
- Ansible (playbooks, roles, vault)
- Packer (Hardened AMI/image building)
- Helm (chart development & management)
- CloudFormation
🚀 CI/CD & DevOps
- GitLab CI/CD (KEDA, complex runners)
- GitHub Actions & Migrations
- Jenkins (pipelines, plugins, distributed builds)
- ArgoCD / GitOps practices
- Security scanning (Trivy, SonarQube)
🐳 Containers & Orchestration
- Kubernetes (EKS, GKE, strict isolation)
- KEDA (event-driven autoscaling)
- Docker (multi-stage optimization)
- Container security & best practices
📊 Observability & Monitoring
- Prometheus & Grafana
- CloudWatch (metrics, logs, alarms)
- ELK Stack (Elasticsearch, Logstash, Kibana)
- Distributed tracing & APM
- SRE practices & SLA/SLO management
Career Highlights
7+
Years of Experience
3
Major Organizations
1,000+
Weekly GitLab Jobs
$10K+
Quarterly Savings