Sep 2021 – Jan 2025 · 3 yrs 4 mos · Hyderabad, Telangana, India · Remote

• Led cloud infrastructure strategy and delivery, defined roadmaps, set OKRs and driven cross-team alignment to build secure, scalable, and automated platforms.
• Designed, built, and maintained CICD pipelines for multiple microservices across multi-cloud environments (AWS, GCP), ensuring scalability and reliability.
• Implemented cloud cost optimization strategies across AWS and GCP, reducing overall infrastructure spend by ~25% through rightsizing, workload scheduling, and monitoring unused resources.
• Built an automated AWS and GCP provisioning platform through Terraform IaC and GitLab, reducing setup time by 70% and improving governance.
• Designed and operated AWS EKS and GCP GKE Kubernetes clusters, improving deployment speed by 40%.
• Implemented a unified observability stack (Prometheus, Grafana, Datadog), reducing incident detection time by 30%.
• Established SLIs (Latency, Errors, Traffic, Saturation) and SLOs with Error Budgets across key microservices, driving proactive monitoring and reliability improvements.
• Led incident management and postmortem processes for critical production services, reducing Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR) by 30% through improved alerting and automation.
• Designed and rolled out GitOps pipelines with FluxCD to automate Kubernetes deployments, ensuring version-controlled, auditable, and policy-compliant delivery processes.
• Automated key operational tasks using Python and Bash, reducing manual toil by 40% and improving team efficiency and response times.
• Drove the adoption of a Shift Left approach by integrating developer productivity and automation tools, improving code quality and accelerating feedback cycles across development teams.
• Spearheaded PoC and PoV evaluations of emerging cloud-native technologies, resulting in successful tool adoption and enhanced operational efficiency.

Oct 2020 – Sep 2021 · 11 mos · Bengaluru, Karnataka, India · On-site

• Led and mentored the Platform Engineering team, promoting adoption of Site Reliability Engineering (SRE) best practices to improve system resilience and operational maturity.
• Automated infrastructure provisioning and configuration using Terraform, Python, and Ansible, enhancing deployment consistency and reducing manual effort.
• Designed and implemented CI/CD pipelines with Jenkins and Concord, enabling global, scalable, and secure application deployments.
• Directed incident response and production troubleshooting efforts, establishing a blameless RCA culture and improving mean time to recovery (MTTR).
• Built and managed observability frameworks leveraging Datadog, Prometheus, Grafana, and Splunk, ensuring centralized monitoring, log analytics, and proactive alerting.
• Administered and optimized Splunk clusters, managing indexers, search heads, and ingestion pipelines to improve performance and query efficiency.

Jan 2019 – Jan 2020 · 1 yr · Greater Bengaluru Area · On-site

• Built and led the SRE team from the ground up, including hiring, onboarding, and mentoring engineers to establish a culture of reliability and operational excellence.
• Orchestrated and managed microservices on Google Kubernetes Engine (GKE), leading migration of critical workloads from on-premise infrastructure to Google Cloud Platform (GCP).
• Defined and implemented SLIs, SLOs, SLAs, and Error Budgets, improving observability, accountability, and overall system reliability.
• Designed and implemented capacity planning and performance engineering frameworks, ensuring scalability and optimal resource utilization.
• Established comprehensive incident management processes, including blameless RCA governance, runbooks, and monitoring dashboards for faster issue resolution.
• Introduced and operationalized chaos engineering practices to validate system resilience and proactively address potential failure scenarios.

Aug 2017 – Sep 2019 · 2 yrs 1 mo · Bangalore · On-site

• Implemented end-to-end observability stack using Datadog and Sumologic, improving incident detection and reducing alert fatigue.
• Automated provisioning and deployment of infrastructure using Terraform and Ansible, cutting manual operations effort by 50%.
• Collaborated with development teams to define and monitor SLIs/SLOs, enabling data-driven reliability improvements and faster recovery from failures.
• Enhanced CI/CD pipelines with Jenkins, integrating automated testing, canary and blue-green deployments, and rollback mechanisms.
• Participated in on-call rotations and conducted blameless postmortems, identifying recurring issues and driving long-term remediation efforts.

Jun 2016 – Aug 2017 · 1 yr 2 mos · Bengaluru Area, India · On-site

• Automated repetitive operational workflows using Python and Bash, improving system efficiency and reducing manual intervention.
• Monitored and optimized production environments through Splunk and Pingdom, configuring proactive alerts to ensure high availability and rapid issue detection.
• Supported SaaS release engineering and data migration initiatives, ensuring smooth deployments and minimal downtime during critical releases.
• Strengthened change management and incident response processes by improving root cause tracking and enhancing team coordination during major incidents.

Nov 2014 – Jun 2016 · 1 yr 7 mos · Bangalore · On-site

• Spearheaded the migration of legacy on-prem workloads to AWS, implementing secure Redshift cluster architecture and ensuring seamless data transition.
• Administered and enhanced Jenkins CI/CD pipelines to streamline release processes and strengthen deployment reliability across environments.
• Drove production incident management and RCA processes, ensuring SLA adherence and contributing to continuous reliability improvements.

May 2012 – Nov 2014 · 2 yrs 6 mos · Greater Hyderabad Area · On-site

• Proactively monitored production environments and resolved critical incidents, minimizing downtime and maintaining service continuity.
• Led root cause investigations and implemented permanent fixes, enhancing system reliability and reducing repeat incidents.
• Coordinated with product and support teams to deliver customer-facing fixes within SLA, improving operational responsiveness and user experience.