---
title: "Harsh Kumar - Site Reliability Engineer, Cloud Platform in Bengaluru | Tal"
description: "Meet Harsh Kumar, Site Reliability & Platform Engineer @ Pluralsight | SRE · DevOps · Kubernetes (CKA) · AWS · Terraform · Kafka · Python · Linux | Distributed Systems, CI/CD & Incident Response based in Bengaluru. AI stack includes antigravity, claude code, and claude. Explore public work links in..."
image: "https://tal.club/meet/harsh-kumar-31/share-image"
---

# Harsh Kumar on Tal

## Headline

Site Reliability & Platform Engineer @ Pluralsight \| SRE · DevOps · Kubernetes \(CKA\) · AWS · Terraform · Kafka · Python · Linux \| Distributed Systems, CI/CD & Incident Response

## About

I'm a Site Reliability Engineer at Pluralsight working on Platform/DevOps engineering and production infrastructure\. While plenty of engineers can ship a feature, my focus is the layer underneath — the systems that stay up, scale quietly, and never make it into a user's day\. Reliability is an engineering requirement rather than an operations afterthought\. Led the migration of legacy EC2 workloads to EKS — cutting compute cost 40% with near\-zero deployment downtime — and built the observability layer \(New Relic APM/NRQL, Grafana, SLI/SLO definitions, P95 latency alerting\) that brought MTTR down 35%\. My bar: if a failure mode isn't quarantined, observable, and rehearsed, the system isn't production\-ready — it's just untested\. Most of my work lives in three places: making infrastructure self\-service \(reusable Terraform modules, so teams provision without filing tickets\), making delivery boring \(GitLab CI/CD across 20\+ microservices with Snyk scanning — 70% less deployment effort, 3× release frequency\), and making failure legible \(RCA, postmortems, and runbooks that actually get read\)\. My Tech Stack: ▪ Cloud & Orchestration: AWS \(EKS, EC2, RDS, S3, IAM, CloudWatch, Secrets Manager, SSM, Route 53\), Kubernetes \(CKA\), Docker, Helm, IRSA, HPA, cluster autoscaling\. ▪ IaC & Delivery: Terraform \(reusable modules\), GitLab CI/CD, GitHub Actions, everything\-as\-code provisioning\. ▪ Observability & Reliability: Prometheus, Grafana, New Relic \(APM, NRQL\), CloudWatch; SLIs/SLOs/SLAs, error budgets, alerting, incident response, RCA\. ▪ Languages & Data: Python, Bash/Shell, SQL, YAML; PostgreSQL \(JSONB\), Redis, PgBouncer, Kafka\. ▪ Security & Governance: DevSecOps, Snyk, IAM least\-privilege, secrets management, policy guardrails\. ▪ AIOps: LangGraph, RAG over pgvector, Langfuse tracing, RAGAS evaluation in CI — building OmniSight, an LLM\-powered incident triage platform\. Performance engineering is where I enjoy myself most: a PgBouncer redesign that cut active DB connections 60% and improved p95 latency 25%, holding steady through 3× peak traffic\. Same instinct that got me to Knight on LeetCode \(500\+ solved, top 4%\) — find the constraint, remove it, measure it\. 📩 Open to SRE / Platform / DevOps opportunities

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

github copilot

mcp

claudecode

## Work experience

Site Reliability Engineer, Cloud Platform at Pluralsight, Jul 2024 \- Present · 2 yrs 3 mos, Bengaluru, Reliability & Observability: Built a full\-stack observability framework with New Relic \(APM, NRQL\) and Grafana; defined SLIs/SLOs for critical services and configured automated alerting on P95 latency spikes, reducing Mean Time to Resolution \(MTTR\) by 35%\. ▪ Incident & Escalation Management: Drove incident response and structured root\-cause analysis with contributions to postmortems and runbooks, systematically reducing recurrence and improving overall service reliability\. ▪ Kubernetes & Scalability: Led migration of legacy EC2 workloads to EKS using Docker, Helm, IRSA, HPA, and cluster autoscaling — achieving a 40% compute cost reduction \(\~$350k/year\) with near\-zero downtime during deployments\. ▪ Infrastructure as Code & Self\-Service: Authored and maintained reusable Terraform modules \(ALB listener rules, Route 53, RDS, Redis, SQS/SNS, IAM roles/policies, Secrets Manager/SSM, CloudWatch alarms\), enabling self\-service, everything\-as\-code provisioning for development teams\. ▪ CI/CD & DevSecOps Guardrails: Engineered GitLab CI/CD pipelines for 20\+ microservices with automated unit/integration tests, Snyk container vulnerability scanning, and multi\-stage deployments — cutting deployment effort by 70% and improving release frequency 3×\.

Site Reliability Engineer Intern, Cloud Platform at Pluralsight, Jan 2024 \- Jun 2024 · 6 mos, Bangalore Urban, ◦ Engineered cloud asset inventory system using AWS SSM, Lambda, and EventBridge to automate EC2 metadata collection across 200\+ instances; built PostgreSQL database with JSONB columns and React dashboard that reduced audit prep time by 40% \(30 → 18 hours quarterly\)\. ◦ Built Jira automation platform using Node\.js and REST API monitoring 15\+ custom triggers with rule\-based workflow execution; eliminated 50% of manual operations \(15 hours/week saved\), improved SLA compliance from 78% to 94%, and increased team velocity by 22%\. ◦ Developed RESTful API backend using Express\.js and PostgreSQL handling 500\+ daily requests with P95 latency under 100ms; implemented normalized schema with proper indexing, JWT authentication, rate limiting, and achieved 99\.8% availability\.

Microsoft Engage Intern at Microsoft, Mar 2022 \- Jun 2022 · 4 mos, Remote, ◦ Selected from 10,000\+ applicants through competitive aptitude assessments and technical interviews to participate in Microsoft's flagship Engage mentorship program; built AI\-powered Movie Recommendation System using collaborative filtering algorithms and machine learning that advanced to final evaluation rounds\. ◦ Developed recommendation engine leveraging Python, scikit\-learn, and content\-based filtering techniques; implemented user preference analysis and similarity scoring algorithms achieving 85%\+ recommendation accuracy on test datasets\. ◦ Collaborated with Microsoft mentors on software design best practices, scalable system architecture, and Agile development methodologies; presented technical solution to engineering panel demonstrating problem\-solving and product thinking capabilities\.

## Education

Bachelor of Technology \- BTech, Computer Science, Rajiv Gandhi Institute of Petroleum Technology \(RGIPT\)

## Public links

- github: https://github\.com/HarshUmpoxy
- leetcode: https://leetcode\.com/algoacer

[View the original profile](https://tal.club/meet/harsh-kumar-31)

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