AVAILABLE · BENGALURU, IN

JithinVishnu R.

Senior Software Engineer shipping quality-first frameworks, AI-assisted automation, and cloud infrastructure that scales. 7+ years across Cloudera, JumpCloud, HackerRank, and TCS.

Get in touch

jithin@neo · zsh · 80×24

● LIVE

Experience7+ yrssince 2019

CurrentClouderaSr. SWE · QE

Stack depth11 areasautomation → cloud

Biggest win99.8%E2E pass rate · JumpCloud

About · the short version.

/bio · 3 paragraphs
readtime · ~30s

I build the frameworks and tools that let product teams ship quickly without shipping bugs, across Quality, Automation, AI, DevOps and Cloud.

Expertise

Deep fluency in web automation and DevOps stacks. I design test frameworks, CI/CD pipelines and infra-as-code that scale from team to org.

Growth

Always learning. Currently exploring chaos engineering and AI-assisted QE.

Now · a live snapshot.

/now · updated Apr 2026
inspired by nownownow.com

Currently

Cloudera Manager

Addressing quality gaps and shaping QA strategy for a platform serving enterprise data infrastructure.

Jan 2026 → Present

Exploring

AI-native QE

How Cursor / Claude / agent loops reshape the test authoring and triage workflow.

Ongoing

Work · five roles, six+ years.

2019 → present
Kerala · Pune · Bengaluru

● 2026 – Present

Senior Software Engineer

Cloudera·Bengaluru, IN

Owned quality strategy for Cloudera Manager's cluster registration and licensing across online, air-gapped, and license-exempt environments.
Rebuilt registration API automation around JWT and Ed25519, covering registration, key rotation, deregistration, and negative paths.
Stabilized system-test infrastructure, cutting one suite from 4–6h → under 2h and unblocking ~50 failing tests.
Hardened automation across FIPS, mTLS, Kerberos/AD, and JDK 21, while reducing system-test Docker context by 36% and image size by 17%.
Built AI-assisted engineering workflows and led adoption of Playwright, pytest 9, and uv, mentoring the Protractor-to-Playwright migration.

Quality StrategyPythonpytestPlaywrightSecurityAI Engineering

2024 – 2025

Software Quality Engineer II

JumpCloud·Pune, IN

Expanded API and UI coverage with Python / pytest and Cypress suites, catching regressions before they shipped.
Built reusable GitHub Actions pipelines, streamlining CI/CD across product teams.
Shipped a load-testing framework on AWS ECS with Docker and Terraform.
Delivered perf tests for RADIUS auth and LDAP ops under enterprise load.
Replaced brittle manual test data with pre-seeded namespaces plus DB cloning automation.
Stabilized envs with Kubernetes, Terraform, ArgoCD, Datadog.

PythonpytestCypressAWS ECSTerraformK8sArgoCDDatadog

2023 – 2024

SDE in Test

HackerRank·Bengaluru, IN

Automated UI coverage with Ruby Howitzer (Selenium), then led the migration to SerenityJS (Playwright).
Orchestrated Slack ⇄ Lambda ⇄ S3 ⇄ DynamoDB ⇄ Jenkins workflows to kill repetitive manual work.
Automated end-to-end candidate technical assessments and real-time email flows.
Ran cross-browser stability via LambdaTest.

PlaywrightSeleniumRubySerenityJSAWS LambdaJenkins

2020 – 2023

System Engineer

Tata Consultancy Services·Trivandrum, IN

Owned end-to-end automation for a UK retail client’s back-office case-management system (Robot Framework / Selenium / Python).
Cut suite runtime from 20h → under 3h via execution-strategy redesign.
Introduced pabot parallelization. Regression down from 1.5h → ~20m.

Robot FrameworkSeleniumPythonpabot

2019 – 2020

Full Stack Developer

SCOPE INDIA·Trivandrum, IN

Full-stack Django. REST architecture and ORM across multiple databases.
Shipped web apps end-to-end, deployed to Heroku.

DjangoPythonRESTHeroku

Projects · deep engineering builds.

one featured project
agentic QE

Cloudera · 2026

QE-Agent

Agentic Development Lifecycle (ADLC) for Quality Engineering

multi-agent

executionJira → Context → Spec Gate → Implement → Code Gate → PR → CI → Validate → RCA → Loop

Built a multi-agent QE system with sub-agent orchestration that takes Jira tickets from context gathering and specification through implementation, review, CI validation, RCA, and iterative fixes.
Orchestrated specialized agents, skills, and tools using Claude Code in headless mode, LiteLLM, Atlassian CLI, GitHub, Jenkins, Harness, Docker, CI/CD APIs, SSH, and custom Python/Shell automation across repositories, build pipelines, and live on-premise clusters.
Added independent specification and code-review quality gates covering requirement understanding, coverage, reuse, correctness, framework fit, suite tagging, shared-utility safety, and feasibility.
Added RCA and validation agents that distinguish product regressions from test failures, draft defect-ready findings, and feed validation failures back into the execution loop.