--- title: "Sudhanshu Kumar - Site Reliability Engineer: Professional in Bengaluru | Tal" description: "Meet Sudhanshu Kumar, 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 based in Bengaluru. AI stack includes claude code, cursor, a..." image: "https://tal.club/meet/sudhanshu-kumar-1/share-image" --- # Sudhanshu Kumar on Tal ## 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 [View the original profile](https://tal.club/meet/sudhanshu-kumar-1) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/sudhanshu-kumar-1#person", "name": "Sudhanshu Kumar", "url": "https://tal.club/meet/sudhanshu-kumar-1", "image": "https://tal.club/meet/sudhanshu-kumar-1/profile-photo.jpg", "description": "Meet Sudhanshu Kumar, 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 based in Bengaluru. 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