Headline

Site Reliability Engineer(SRE) at BlackLine

About

Site Reliability Engineer with 6+ years of experience building and operating resilient, large-scale cloud platforms across GCP, AWS, and Azure. Deep practitioner of Kubernetes (GKE), GitOps (ArgoCD), and Infrastructure as Code (Terraform, Ansible), with a track record of sustaining 99.9%+ uptime SLAs and delivering $300K+ in annualised cloud savings through data-driven optimisation. Pioneered AI-driven operational models using MCP-based agentic workflows, cutting MTTR by 20% and alert fatigue by 15%, bridging the gap between traditional SRE and intelligent automation. Aspiring to architect the next generation of self-healing, AI-augmented infrastructure platforms that set the reliability and efficiency benchmark at a high-growth, engineering-first organisation.

Location

Bengaluru

AI stack

anthropic apis

claude code

cursor

gemini

github copilot

langchain

Work experience

Site Reliability Engineer at BlackLine, Jul 2024 - Present · 2 yrs 4 mos, Bengaluru, ◦ Served as primary on-call and incident commander on a bi-weekly rotation for tier-1 services; actively resolved major outages, conducted blameless RCAs, and led the strategic onboarding of a NOC team as an L1 first line of defense, training them on initial investigations to drastically reduce engineering escalations. ◦ Built an AI-powered New Relic MCP server that audits alert coverage and dashboard gaps across microservices using Golden Signals (latency, traffic, errors, saturation), improving observability baseline quality and reducing non-actionable alert noise by 15%. ◦ Designed and deployed an On-Call Agent integrating PagerDuty, New Relic, and automated runbooks to classify incidents, execute safe remediations, and escalate only complex or permission-sensitive cases with context-rich summaries, reducing MTTR by 20%. ◦ Led foundational platform enablement for development teams by provisioning greenfield GCP projects end-to-end, including IAM guardrails, networking baselines, CI/CD onboarding, and Vertex AI setup, reducing team onboarding time by 25%. ◦ Spearheaded a massive cloud cost-optimization initiative, involving instance right-sizing, storage tiering, and database upgrades, generating over $300,000 in annualized operational savings. ◦ Managed Kubernetes workloads utilizing GitOps principles with ArgoCD and Helm, streamlining deployment processes, enabling automated drift detection, and reducing manual release intervention by 20%. ◦ Established an agentic reliability engineering operating model by combining observability intelligence, incident context enrichment, automated remediation, and toil reduction workflows, reducing alert fatigue by 15% and improving on-call efficiency.

Assoc Site Reliability Engineer at Liferay, Dec 2022 - Jun 2024 · 1 yr 7 mos, Bengaluru, India, ◦ Administered and scaled large-scale Google Kubernetes Engine (GKE) clusters, ensuring optimal resource allocation, security compliance, and fault tolerance for mission-critical portals. ◦ Conducted deep-dive troubleshooting into Linux OS internals, network stacks, and resource scheduling to optimize application performance and stability. ◦ Elevated system observability by instrumenting Prometheus, Grafana, and Dynatrace, establishing proactive thresholds and alerts that addressed performance degradation before customer impact. ◦ Restructured and maintained Jenkins CI/CD pipelines, proactively identifying build-stage bottlenecks and troubleshooting faulty deployment mechanics to stabilize daily release trains. ◦ Executed detailed GKE cluster performance analysis to identify compute inefficiencies; implemented node auto-provisioning and proactive node-scale-down strategies to achieve a sustainable 20% footprint cost reduction. ◦ Wrote custom Python and Bash automation scripts to replace tedious daily operational tasks, saving the infrastructure team 10+ hours per week.

Senior Software Engineer at Capgemini, Jun 2020 - Sep 2021 · 1 yr 4 mos, Mumbai, ◦ Provisioned, secured, and scaled enterprise-grade AWS and Azure cloud infrastructures leveraging VPCs, EC2/VMs, and auto-scaling groups for global client deployments. ◦ Troubleshot and resolved complex network and routing issues, including Load Balancer algorithms, DNS resolution, and TCP/IP bottlenecks, ensuring uncompromised connectivity and low latency. ◦ Drove foundational Infrastructure as Code (IaC) adoption by developing version-controlled ARM templates and Bash deployment scripts, standardizing cloud environments and drastically reducing manual provisioning errors. ◦ Engineered Python and shell automation suites to govern cloud resource lifecycles, automating snapshot cleanup, instance tracking, and IAM access audits, effectively reducing weekly operational toil across engineering teams. ◦ Delivered CI/CD pipelines via Azure DevOps for multi-environment deployments, enforcing gated release stages and automated rollback triggers to reduce failed deployments.

Software Analyst at Capgemini, Jun 2019 - May 2020 · 1 yr, Bengaluru, Karnataka, India

Education

Bachelor of Engineering - BE, Reva Institute of Technology & Management, Bangalore

Bachelor of Engineering, Reva Institute of Technology and Management