Sarju Tambe

Experienced Site Reliability Engineer and DevOps professional with 17+ years of experience designing, supporting, automating, and optimizing enterprise-scale distributed applications and cloud-native infrastructure within global financial services environments. Strong expertise in observability engineering, CI/CD automation, Kubernetes platforms, cloud infrastructure, operational reliability, and infrastructure automation. Proven experience implementing SRE principles including SLIs, SLOs, telemetry-driven monitoring, incident management, automation-first operational workflows, and continuous reliability improvements.

Passionate about building scalable, resilient, and highly available systems through modern DevOps and cloud-native engineering practices.

Site Reliability Engineer / DevOps Engineering Lead - Deutsche Bank - Pune, India

(2016-06)

• Support mission-critical distributed banking applications and cloud-native infrastructure platforms within highly regulated enterprise environments
• Design and implement scalable CI/CD pipelines using Jenkins, GitLab CI, Terraform, and automation-first engineering practices
• Build and improve observability platforms using Grafana, Prometheus, Splunk, ELK Stack, and centralized telemetry frameworks
• Implement monitoring, alerting, telemetry collection, and operational dashboards supporting proactive incident detection and operational visibility
• Apply SRE practices including SLIs, SLOs, operational KPIs, reliability engineering, and proactive service health governance
• Support Kubernetes and Docker-based application platforms and distributed cloud-native operational environments
• Implement Infrastructure as Code (IaC) solutions using Terraform, Ansible, and infrastructure automation frameworks
• Collaborate closely with software engineering, infrastructure, and operations teams to improve application scalability, reliability, and deployment automation
• Troubleshoot complex application, infrastructure, networking, and distributed systems issues across enterprise production environments
• Participate in incident response, root cause analysis, operational readiness reviews, and resilience improvement initiatives
• Contribute to automation of operational workflows, deployment activities, health checks, and repetitive production support processes using Python and Bash scripting
• Participate in architectural discussions and deployment planning focused on scalability, resiliency, and operational efficiency
• Support Agile delivery methodologies and collaborate with globally distributed engineering teams

DevOps / Infrastructure Engineer - Veritas Technologies - Pune, India

(2007-01 - 2016-05)

• Managed enterprise infrastructure, deployment automation, and operational support activities
• Developed automation tooling using Python and shell scripting
• Supported Linux/Unix systems and distributed enterprise applications
• Improved operational efficiency through monitoring, automation, and infrastructure optimization
• Assisted with deployment workflows, infrastructure operations, and production support activities
• Collaborated with engineering teams to troubleshoot and resolve production and deployment issues

Bachelor of Engineering - Computer Science - University of Pune (2007)

Diploma - Computer Engineering - Bombay University (2003)