Hemachandiran Pajany

DevOps Engineer

Chennai, India6 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced troubleshooting time by 50% with LLM tools.
Achieved 90% test pass rates through automation.
Saved 15+ hours weekly by automating workflows.

Stackforce AI infers this person is a DevOps Engineer specializing in automation and cloud infrastructure within the SaaS industry.

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Skills

Core Skills

DevopsLarge Language Models (llm)Amazon Web Services (aws)Python (programming Language)Quality AssuranceAppium

Other Skills

Android DevelopmentAnthropic ClaudeAWS LambdaAWS GlueNode.jsAmazon BedrockLinuxAndroid StudioHTMLCSSAndroidDebuggingComputer ScienceProgramming ConceptsProblem Solving

About

Experienced DevOps Engineer with over 5 years of expertise driving software development, automation, cloud infrastructure optimisation, and CI/CD pipeline enhancements within large-scale Cloud Platform environments at Amazon. Skilled in developing advanced tools including LLM-based triage systems that halve troubleshooting time and full-stack tools for proactively identifying Android 14 app issues detecting 80+ issues before testing and saving 4 hours of dev and QA effort per issue. Developed Python scripts to automate production log file analysis, saving 2 hours of dev effort per issue, and automation frameworks with Appium achieving over 90% test pass rates eliminating manual testing overhead. Proficient in Python, JavaScript, Shell scripting, and AWS services, with a successful track record in migrating complex cloud services while reducing operational costs and incident turnaround times by over 50%. Known for creating impactful SOPs, resolving high-severity incidents while maintaining zero backlog, and mentoring teams to adopt AI/ML-driven automation tools. Driven by curiosity, a strong sense of ownership, and systems thinking - passionate about leveraging cutting-edge technologies to improve system reliability, accelerate release cycles, and enhance end-user experiences in the Fire TV ecosystem. Open to collaborating on innovative projects and driving operational excellence through intelligent automation.

Experience

6 yrs 2 mos

Total Experience

6 yrs 2 mos

Average Tenure

6 yrs 2 mos

Current Experience

Amazon

5 roles

DevOps Engineer IV

Promoted

Apr 2026 – Present · 0 mo

Devops engineer-lll

Jul 2025 – Mar 2026 · 8 mos

● Developed an LLM-based triage tool integrated with Cline and MCP server, reducing initial troubleshooting analysis time for Fire TV App issues by 50% through automated pattern recognition.
● Built comprehensive expertise module with 14 specialised knowledge bases and
RAG for platform-specific debugging.
● Designed multi-layer architecture with handling workflow automation, evidence management, and multi-build system integration.
● Successfully resolved 100+ Fire TV app issues across Android 14, 8, and 7 platforms within streamlined SLAs, supporting multiple concurrent programs and maintaining a 95% customer satisfaction rate.
● Decreased defect turnaround time by 57%, improving cycle efficiency from 7 days to 3 days on average.
● Automated developer outreach workflow using Python and Cline AI assistant, reducing repetitive manual tasks by 70% and saving 15+ hours weekly.
● Managed and resolved more than 15 Sev 2 issues while maintaining a zero backlog status, ensuring uninterrupted service.
● Authored multiple SOPs using Google Android documentation, enabling systematic root cause analysis and faster resolution of Fire TV app issues.
● Led the onboarding and integration of additional LLM tools within the team, enhancing automation and significantly reducing manual workload.
● Partner with engineering teams to debug software programs, make enhancements to existing software systems, and design and develop software features to ensure systems are scalable and supportable.

Android DevelopmentDevOpsLarge Language Models (LLM)Python (Programming Language)Anthropic Claude

DevOps Engineer II

Promoted

Jul 2024 – Jul 2025 · 1 yr

● Created Python-based log analysis scripts that reduced incident resolution time by 80%, significantly boosting system monitoring capabilities.
● Investigated and optimized AWS infrastructure, resulting in cost savings of ₹1,500 per month through improved resource utilization.
● Designed and deployed a chatbot using Node.js and Amazon Bedrock integrated with JIRA API, optimizing incident tracking and reporting.
● Managed CI/CD pipelines, eliminating manual steps which improved software deployment reliability across diverse DevOps tools.
● Executed migrations for JDK, NetScaler load balancer, and AWS CDK across 50 Tier 1 service pipelines with zero production impact.
● Resolved 100+ customer support tickets by implementing auto-triage mechanisms, reducing recurring issues and monthly ticket inflow.
● Developed 50 standard operating procedures (SOPs) for issue resolution, enhancing operational efficiency and reducing downtime.
● Mentored five junior engineers, resulting in a 25% reduction in onboarding time and knowledge gaps on the team.

Amazon Web Services (AWS)AWS LambdaLarge Language Models (LLM)Python (Programming Language)AWS Glue

Quality Assurance Technician

Promoted

Jun 2022 – Jul 2024 · 2 yrs 1 mo

● Built a centralised repository for Fire TV support teams, streamlining access to tools, SOPs, and troubleshooting resources.
● Collaborated with software teams to develop a Python, HTML, and CSS-based log analysis web app, enhancing troubleshooting for high-performance computing environments.
● Developed and maintained automated test suites using Pytest and Appium, improving device testing efficiency across AWS and Linux platforms.
● Built and automated test cases and infrastructure with Appium ,Android Studio and linux, achieving 90% pass rate and removing the need for manual test execution.

Python (Programming Language)Quality AssuranceLinuxAppiumAndroid Studio