Headline

SRE @ IBM |Python •Linux • Networking fundamentals • Kubernetes (k2)• AWS ( Ec2,s3)• IBM Cloud • Incident Management • SLO/SLI Management • Automation • Observability•On-Call• Containerization •Terraform • Automation

About

I build systems that don't page you at 3 AM — and when they do, they already know why. As an SRE at IBM, I own reliability for IBM Planning Analytics, Cognos Controller, and FCI — three production platforms serving 500+ enterprise clients across hybrid cloud (AWS + IBM Cloud), sustained at 99.9% uptime under real-world SLOs. My work lives at the intersection of systems thinking and automation. I design SLIs/SLOs from first principles, govern error budgets as a product signal, and close the loop with post-mortems that actually prevent recurrence. When I see toil, I eliminate it — not document it. Some things I've shipped: — An agentic RCA pipeline (Prometheus + Instana → ML clustering → LLM postmortems) that resolved 350+ Sev1/Sev2 incidents and cut MTTR by 40% — A BAU Automation Suite that killed 7 manual workflows and reclaimed 20 engineer-hours/month — Real-time error budget dashboards in Grafana that caught 2 near-exhaustion events before they became incidents Before SRE, I shipped backend features at IBM scale — a schema discovery module for a 2M+ user product, and a CI/CD pipeline that compressed 4-hour mainframe deployments to 40 minutes. I'm looking for SRE-2 or Platform Engineer roles at product-led engineering orgs where reliability is a first-class concern — not an afterthought. If your team measures toil, ships on-call tooling, and takes error budgets seriously, let's talk.#opentowork

Location

Bengaluru

AI stack

claude code

cursor

github copilot

openai

claudecode

ChatGPT

Work experience

Site Reliability Engineer: Professional at IBM, Feb 2024 - Present · 2 yrs 7 mos, Bengaluru, Agentic RCA pipeline: Built Python-based system ingesting Prometheus + Instana alerts → ML incident clustering → LLM-assisted postmortems. Resolved 350+ Sev1/Sev2 incidents; cut MTTR 40% and saved ~8 hrs/week of on-call engineering time. Toil elimination at scale: Authored BAU Automation Suite (Python + Bash + Jenkins) replacing 7 manual daily workflows — OS patching, health checks, claim reporting, env validation. Reclaimed ~20 engineer-hours/month; reduced on-call toil ~90%. SLO ownership across 3 platforms: Defined SLIs/SLOs and governed error budgets for IBM Planning Analytics, Cognos Controller, and FCI — 500+ enterprise clients on hybrid cloud (AWS EC2/S3/CloudWatch + IBM Cloud). Sustained 99.9% uptime through proactive capacity planning and Instana-based observability. Error budget dashboards: Built Grafana burn-rate dashboards tracking real-time SLIs across 3 production platforms; proactive stakeholder comms prevented 2 near-exhaustion events from escalating to incidents. CI/CD reliability layer: Instrumented alerting into Jenkins + GitHub Actions pipelines; automated issue labeling and triage routing cut sprint overhead ~30%. Delivered zero major escalations across all global on-call rotations as L1/L2. Multi-region cloud infrastructure: Managed AWS deployments (MCSP PaaS) for platforms integrating Snowflake + BigQuery; handled SSL/TLS, firewall rules, VPN configs, and LB tuning to maintain sub-100 ms p99 response SLAs.

Software Engineer at IBM ISL, Jul 2023 - Mar 2024 · 9 mos, Owned reliability and operational support for IBM Db2 Analytics Accelerator (IDAA) a high-performance analytics platform enabling 100x–1000x query performance improvement.Designed and shipped a scalable Schema Discovery REST API for IBM Db2 Analytics Accelerator, enabling automated table discovery for 2M+ users. Owned end-to-end delivery across 3 releases with zero critical regressions by driving CI/CD and API testing.Engineered a Jenkins + Groovy-based CI/CD pipeline for automated WAR deployment to z/OS mainframe, reducing deployment time from 5 hours to 45 minutes (85% reduction) and eliminating manual errors across 5+ monthly releases.

Software Developer at IBM, Jul 2023 - Jan 2024 · 7 mos, Kochi, Schema discovery at 2M-user scale: Designed and shipped the getAllTables module for IBM Db2 Analytics Accelerator (Java 8 + Spring Boot + REST) — automated table discovery delivered across 3 release milestones with zero critical regressions. Mainframe CI/CD pipeline: Built automated WAR deployment pipeline to z/OS mainframe systems — compressed deployment time from 4–5 hours to 40–45 minutes (85% reduction), eliminating all manual handoff errors. Db2 analytics optimization: Optimized DBA workflows on z/OS for high-volume enterprise analytics pipelines; measurably reduced sync latency for mainframe-driven Db2 workloads. Release quality ownership: Led regression and API testing for 3 consecutive milestones; enforced quality gates maintaining 0 critical regression track record across all releases.

Education

Bachelor of Technology - BTech, Electrical and Electronics Engineering, Cochin University of Science and Technology

Bachelor of Science - BS, programming and Data science, Indian Institute of Technology, Madras