Abhinash Khuntia

DevOps Engineer

Kolkata, West Bengal, India11 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in AI engineering and cloud governance.
  • Proven track record in designing autonomous systems.
  • Strong background in multi-tenant architecture.
Stackforce AI infers this person is a SaaS expert with a strong focus on AI and cloud governance.

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Skills

Core Skills

Ai EngineeringCloud GovernanceSoftware ArchitectureDevopsEtl Development

Other Skills

Claude SkillsOpenAI CodexModel Context Protocol (MCP)Prompt EngineeringNode.jsAmazon Web Services (AWS)TypeScriptPostgreSQLGraphQLMicrosoft AzureGoogle Cloud Platform (GCP)Build AutomationDataStageUnixShell Scripting

Experience

11 yrs 10 mos
Total Experience
5 yrs 11 mos
Average Tenure
8 yrs 7 mos
Current Experience

Turbot

4 roles

AI / GenAI Engineer

Jul 2024Present · 1 yr 11 mos · Remote

  • Building the AI engineering platform layer for Turbot Guardrails — a cloud governance product backed by a 162-package monorepo — enabling autonomous agents to operate with deep domain understanding across a complex, production codebase.
  • The core problem: enterprise codebases are too large and nuanced for general-purpose AI. I designed the architecture that bridges that gap.
  • ▸ Architected a skill and rules system that encodes 20+ domains of institutional knowledge — GraphQL, database patterns, mutation conventions, server architecture, testing — into structured, path-aware context AI agents consume at runtime
  • ▸ Shipped autonomous SDLC agents: Slack intake → triage → codebase investigation → draft PR generation → review resolution → merge notifications — running in production, closing the loop without human intervention
  • ▸ Integrated AI into CI/CD — orchestrating across GitHub Actions, Claude Code skills, and custom commands to trigger builds, monitor CodePipeline, version, and generate changelogs.
  • ▸ Designed a project-workflow system for AI-managed multi-task execution with parallel and sequential coordination.
Claude SkillsOpenAI CodexModel Context Protocol (MCP)Prompt EngineeringAI EngineeringCloud Governance

Software Architect

Promoted

Jul 2022Present · 3 yrs 11 mos · Remote

  • Owned the architecture of Turbot Guardrails — an enterprise platform governing millions of cloud resources across AWS, Azure, and GCP. Served as the final escalation point for complex customer issues — diagnosing whether problems stem from platform behavior or tenant configuration.
  • ▸ Designed the core data architecture — schema-per-tenant PostgreSQL isolation, hierarchical configuration resolution, zero-downtime migrations across dozens of database modules.
  • ▸ Made the system fast — optimized database triggers, parallelized index creation, tuned maintenance workers, and eliminated expensive query patterns across high-traffic API paths to keep response times low as tenant count scaled
  • ▸ Made the system reliable — adaptive backpressure to prevent cascade failures under load, concurrency patterns to eliminate deadlocks during bulk operations, and SIEM event ingestion into Splunk and CloudTrail Lake for real-time operational visibility
  • ▸ Shaped the engineering platform — plugin ecosystem pipeline publishing thousands of security and compliance checks across AWS, Azure, and GCP, TypeScript migration strategy, and CI/CD infrastructure
Node.jsAmazon Web Services (AWS)TypeScriptPostgreSQLGraphQLSoftware Architecture+1

Senior Software Engineer

Dec 2018Jun 2022 · 3 yrs 6 mos · Remote

  • Full-stack engineer on the Guardrails core platform — building the subsystems that power access control, task execution, and cloud resource governance across multi-tenant environments.
  • ▸ Built the permissions subsystem — a compiled access model resolving roles and scopes across three cloud providers into a unified authorization framework
  • ▸ Designed the task execution engine (v2) with priority queue scheduling for manual and automated dispatch with real-time state tracking across tenants
  • ▸ Optimized high-traffic API paths through targeted indexing, subquery elimination, and GraphQL resolver batching. Eliminated deadlocks during concurrent bulk operations through parallel-safe database functions.

DevOps Engineer

Sep 2017Nov 2018 · 1 yr 2 mos · Remote

  • Early team member who lead the governance module ecosystem — the plugin architecture defining how Guardrails discovers, monitors, and enforces policy across cloud resources.
  • ▸ Designed template generation frameworks that transformed mod development from manual authoring to scalable code generation across AWS, Azure, and GCP — automating creation of discovery, CMDB, compliance, and encryption controls
  • ▸ Authored governance mods across 50+ cloud services and built CIS Benchmark mods (v1) for all three cloud providers, mapping industry security controls to Turbot's policy engine
  • ▸ Developed reusable scaffolding packages that became the foundation for cross-cloud mod development
Node.jsAmazon Web Services (AWS)Microsoft AzureGoogle Cloud Platform (GCP)DevOpsBuild Automation+1

Tata consultancy services

Software Engineer

Jun 2014Sep 2017 · 3 yrs 3 mos · Greater Hyderabad Area

  • ETL developer building and maintaining data integration pipelines using IBM DataStage for clients in the banking and insurance sectors.
  • ▸ Designed and developed ETL pipelines for large-scale data movement — extracting from source systems, transforming business logic, and loading into data warehouses for downstream reporting and analytics
  • ▸ Worked across the full ETL lifecycle — requirements gathering, job design, testing, deployment, and production support across multiple client engagements
DataStageUnixShell ScriptingETL Development

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