Dec 2023 – Dec 2024 · 1 yr

• ★ Migrated 90%+ workloads to AWS (within pre-defined roadmap timelines set by Amazon) while ensuring 100% milestone adherence across Stellantis’s digital vehicle initiatives (OTA, telematics, connected services).
• ★ Pivoted roadmap focus to operational stability and governance, ensuring enterprise teams adopted AWS Landing Zone patterns, reducing compliance exceptions by 30%.
• ★ Designed adoption playbooks that cut onboarding of new services by 20%, enabling faster integration for engineering and QA teams.
• ★ Delivered reusable architecture blueprints for 5+ automotive domains with <3-week turnaround per project.
• ★ Achieved 65%+ reuse rate for modules like event-driven logging frameworks, data lake ingestion patterns, and API gateway templates.
• ★ Optimized existing Amazon-designed architectures by introducing multi-account governance, SCP boundaries, and hybrid integrations with Stellantis’s on-prem systems.
• ★ Conducted 25+ Architecture Review Board sessions to align blueprint decisions with Stellantis business needs, improving design acceptance rates by 20%.
• ★ Achieved <8% deviation from AWS cloud budget across multi-region deployments by implementing proactive monitoring and anomaly detection.
• ★ Implemented auto-scaling policies and S3 lifecycle rules, reducing compute/storage costs by 20% while meeting performance SLAs.
• ★ Partnered with finance to create cost accountability dashboards, reducing budget overages across 10+ teams by 25%.
• ★ Enforced IAM least-privilege, VPC security boundaries, SCP restrictions, ensuring 100% compliance with CIS and AWS Well-Architected Security Pillar.
• ★ Implemented region/data sovereignty policies critical for GDPR and ISO 26262 compliance, reducing policy exceptions by 40%.
• ★ Architected IoT and data analytics platforms on AWS using Glue, Kinesis, Snowflake, and Lambda, reducing data latency by 40 %. Implemented FinOps governance and multi-account data governance achieving 20 % cost savings.

Aug 2023 – Dec 2023 · 4 mos

• ★ Enhanced existing CI/CD pipelines (Jenkins, GitLab CI) for credit card servicing and fraud detection apps, reducing build/test times by 35%.
• ★ Automated security scans (SAST, DAST, dependency scanning) with SonarQube + OWASP checks, reducing manual audit preparation efforts by 50%.
• ★ Integrated centralized monitoring dashboards (Grafana + Prometheus + CloudWatch) for 15+ services.
• ★ Extended Terraform modules for repeatable infra provisioning across dev/test/prod, achieving 90% IaC coverage.
• ★ Partnered with the FinOps team to launch cost dashboards, improving visibility and reducing budget overruns by 10% within 5 months.
• ★ Ensured zero-downtime releases during peak billing cycles, improving customer satisfaction metrics.
• ★ Conducted 5+ technical workshops for developers on using self-service CI/CD templates and observability dashboards.
• ★ Mentored 3 junior DevOps engineers on Terraform, GitLab CI, and compliance automation practices.
• ★ Documented best practices for PCI-compliant DevOps pipelines, serving as a reference for future audits.

Oct 2021 – Jul 2023 · 1 yr 9 mos · Gurugram, Haryana, India · Remote

• ★ Spearheaded the transformation of legacy monolithic Java apps to 12-factor compliant Spring Boot-based microservices, reducing deployment time by 60% and increasing feature release frequency by 3x.
• ★ Re-architected high-volume data ingestion pipelines to support 20M+ media events/day, leveraging domain-driven design (DDD) for better service decoupling and ownership.
• ★ Designed and deployed scalable, fault-tolerant cloud-native architectures using Kubernetes, AWS Lambda, and Terraform, achieving 99.97% system uptime across customer-facing analytics platforms.
• ★ Implemented Infrastructure-as-Code (IaC) for 100% of staging and production environments, reducing configuration drift incidents by 90% and enabling zero-touch deployments.
• ★ Built and maintained observability stack using Datadog, implementing real-time alerting for 150+ services and reducing Mean Time to Detect (MTTD) by 55% and MTTR by 40%.
• ★ Conducted post-mortems and implemented permanent fixes for 30+ major incidents in 12 months, directly improving customer satisfaction scores by 18% in internal NPS surveys.
• ★ Automated end-to-end CI/CD pipelines using GitLab , reducing manual release efforts by 75% and accelerating secure delivery of services across 10+ agile squads.
• ★ Collaborated with 25+ developers and designers to align application architecture with platform SLAs, significantly reducing inter-team dependency blockers and time-to-market.
• ★ Mentored a cohort of 7 junior SREs and DevOps engineers, resulting in 3 internal promotions and improved overall incident response team readiness by 35%.
• ★ Led the 24/7 on-call rotation, handling over 150+ P1–P3 incidents/year, establishing runbooks and automated escalations, and ensuring 100% SLA compliance for B2B client-facing systems.
• ★ Built scalable ETL frameworks with AWS Glue + Python (Pandas, boto3), doubling data ingestion speed and achieving 99.9 % data consistency by Integrating Kafka + Airflow for real-time pipeline orchestration.

May 2021 – Sep 2021 · 4 mos · Gurugram, Haryana, India

• ★ Acted as a consulting SRE knowledge base across product, engineering, and sales teams, driving P1–P4 incident resolution within SLA across a platform supporting 7,000+ global boutiques and brands, ensuring 99.98% uptime for billions of transactions worldwide.
• ★ Established and enforced incident response protocols, improving MTTR by 42% and streamlining escalation workflows across cross-functional teams.
• ★ Ensured high availability, fault-tolerance, and zero-downtime deployments for customer-facing services in multi-cloud environments (AWS, Azure) using SRE best practices and APAC-resilient architectures.
• ★ Applied SLOs/SLIs and Error Budgets to improve service reliability for critical APIs, achieving sub-200ms response times for customer journeys like checkout and inventory search.
• ★ Automated provisioning and configuration of 1,000+ servers using Ansible and Terraform, reducing manual configuration drift and deployment time by ~80%.
• ★ Built and maintained CI/CD pipelines using GitLab CI, and Python scripting, decreasing deployment frequency from weekly to daily releases while maintaining quality gates.
• ★ Implemented Kafka-based event streaming architecture to support real-time data flow for order lifecycle and fraud detection, enabling sub-second latency across 50+ microservices.
• ★ Orchestrated Docker & Kubernetes-based microservices deployment strategy, increasing deployment agility by 3x and reducing rollback risks.
• ★ Led the adoption of multi-cloud best practices for performance, geo-distribution, disaster recovery, and documentation across 5+ tech verticals (Apps, Data Engineering, Cloud Ops, Product Teams).
• ★ Mentored and supported Platform, Base, and Cloud Automation teams across technologies like Terraform, Kubernetes, Kafka, Python.
• ★ Designed multi-cloud event-streaming architecture using Kafka + Snowflake integration, handling 1M+ events/day with 99.99 % availability.

May 2019 – Jan 2021 · 1 yr 8 mos · Gurgaon, India · Hybrid

• ★ Spearheaded deployment and management of applications across Kubernetes clusters spanning AWS, Azure, and GCP, achieving $12,000/month in infrastructure cost savings through cloud resource right-sizing and usage audits.
• ★ Standardized CI/CD pipelines across teams using Jennkins, ArgoCD, and Helm, reducing build/test/deploy cycles by ~70%, enabling teams to ship faster with zero-downtime deployments.
• ★ Established “DevOps-as-a-Service” practice enabling developers to onboard microservices within <30 minutes, improving developer onboarding speed by 4x.
• ★ Led the containerization of legacy apps using Docker and Helm charts, improving portability and reducing environment parity issues by 90%.
• ★ Provisioned and orchestrated 100+ Kubernetes clusters across dev, staging, and production using Terraform and GitOps principles, reducing manual infra provisioning time by 85%.
• ★ Re-architected a monolithic system into 25+ microservices, leveraging API Gateway, service mesh (Istio), and secure inter-service communication, leading to 50% reduction in deployment risk.
• ★ Supported traffic growth to 1.5M+ monthly active users with autoscaling Kubernetes-backed services, ensuring 95th percentile latency remained under 200ms.
• ★ Partnered with product, security, and QA teams to integrate security controls (e.g., IAM hardening, secret rotation) and compliance workflows (e.g., CIS benchmarks) into release pipelines.
• ★ Integrated centralized monitoring and logging stack (Prometheus, Grafana, ELK, and Alertmanager) across 200+ services, reducing Mean Time to Detect (MTTD) by 65% and Mean Time to Recovery (MTTR) by 48%.
• ★ Served as DevOps SME for escalation management and platform governance, directly mentoring 10+ engineers and enabling 3 team promotions through knowledge sharing and leadership grooming.

Jul 2017 – Apr 2019 · 1 yr 9 mos · Noida Area, India · On-site

• ★ Migrated 100+ mission-critical workloads (Java/Oracle) from on-prem to AWS, achieving 99.9% system availability and reducing technical debt by 40% through cloud-native re-architecture (DynamoDB, S3).
• ★ Designed and implemented multi-tiered hybrid cloud architecture supporting zero-downtime migrations for 3 government clients, reducing migration duration by 30% with minimal service disruption.
• ★ Reduced infrastructure costs by ~$1.2M/year by consolidating underutilized on-prem assets and leveraging Reserved Instances, S3 Lifecycle Policies, and DynamoDB Auto-Scaling.
• ★ Delivered a CI/CD pipeline strategy using AWS CodePipeline + Jenkins + Terraform, increasing deployment speed by 60% and reducing rollback incidents by 40%.
• ★ Led end-to-end cloud architecture for 3+ large-scale government digital initiatives, overseeing compliance with AWS Well-Architected Framework and NIST 800-53 security controls.
• ★ Developed architecture blueprints and governance models adopted across three client organizations, leading to consistent security, cost management, and scalability standards.
• ★ Mentored a cross-functional team of 10+ engineers on cloud architecture best practices, containerization (ECS/EKS), and DevSecOps, improving skill maturity by 40% within 6 months.
• ★ Engaged in C-level workshops to define technical roadmaps and delivered 6+ RFPs with precise estimations, resulting in $3M+ in new cloud engagements.
• AWS Services:- EMR, Elasticsearch Service, Kinesis, QuickSight, Data Pipeline, Glue, Managed Streaming for Apache Kafka, Simple Notification Service(SNS), Simple Queue Service(SQS), Cost Explorer, Budgets, Lambda, AWS Batch, Serverless Application Repository, Elastic Container Registry, Elastic Container Service(ECS), Elastic Kubernetes Service (EKS), Pinpoint, Simple Email Service(SES), RDS, DynamoDB, Elastic Cache, VPC, etc.

Apr 2015 – Jul 2017 · 2 yrs 3 mos · Gurgaon, India

• Gamit Technical Services is a provider of Information Technology Solutions in the following areas such as Cyber Security, Information Assurance, Supply Chain, Project Management, telecommunications, Warehousing in the public and private sector clients for the US region.
• ★ Efficiently managed 100+ servers based on forecasts of increased usage leading to savings in server costs of $220,000 annually.
• ★ Oversaw the development of the infrastructure for a new product which quickly scaled the 100,000 daily active users while maintaining uptime of 99.99%.
• ★ Service owner for configuration management, continuous integration, continuous delivery, and version control reducing the time to deploy by 16%.
• ★ Develop automation processes to enable teams to deploy, manage, configure, scale, and monitor their applications through the use of tooling or scripting reducing the time to get features in production by 36%.
• ★ Responsible for infrastructure setup on AWS & Managing AWS services like EC2, VPC, SES, IAM, RDS, S3, Elastic Beanstalk, Route 53, Cloud Front, Cloud Watch, Cloud Formation, etc.
• ★ Led the organization's shift from a Puppet environment to a more modern Docker-based service architecture.
• ★ Implemented automated alerting around infrastructure issues which resulted in quicker and more efficient fixes leading to an improvement in the response time to critical errors by 85%.
• ★ Contribute to future planning, implementation, and support of emerging cloud technologies.
• ★ Coordinate with web developers to ensure web servers were configured to support their website rollouts.
• Environment: ‐ RHEL 6 & 7, Ubuntu, Apache, Tomcat, Postfix, MySQL, Git, Jenkins, Puppet, Nagios, Ant, Shell, Python, Docker, VMware ESXi & KVM, Windows 7 & 10.
• AWS Services:- EC2, VPC, S3, RDS, SES, IAM, Cloud Watch, Cloud Formation, Route 53, Elastic Beanstalk, Cloud front, etc.