Site Reliability Engineer @ Morgan Stanley | Linux, Kubernetes, CI/CD, Python, Cloud Infrastructure(AWS) | AI Workflow Automation (n8n, Agentic AI) | Cybersecurity | Mentor: Data, & AI Agent Workflows

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Hyderabad, Telangana, India

Hyderabad, Telangana, India

Warangal, Telangana, India







Bachelor of Technology, Computer Science and Engineering
Vasireddy Venkatadri International Technological University
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Download Tal BossSite Reliability Engineer @ Morgan Stanley | Linux, Kubernetes, CI/CD, Python, Cloud Infrastructure(AWS) | AI Workflow Automation (n8n, Agentic AI) | Cybersecurity | Mentor: Data, & AI Agent Workflows
I split my time between running production systems and teaching people how to run them. At Morgan Stanley, I work SRE — monitoring, incident response, on-call, keeping business-critical systems up. Prometheus, Grafana, structured postmortems, the usual discipline that high-availability finance demands. The other half of my work is training. I've built and delivered DevOps, cloud, and AI/ML curriculum for IIT Mandi, IIT Roorkee, IIT Guwahati, IIT Patna, and BITS Pilani, plus corporate and ed-tech programs with Internshala, Simplilearn, be10X, and others. Over 2,500 learners, 4.85/5.0 average rating across 5,000+ pieces of feedback. What ties it together: I don't teach theory I haven't used. Every lab, every module, comes from something I've actually deployed or debugged — AWS, Kubernetes, Terraform, CI/CD, and increasingly agentic AI and LLM deployment. I've also built and shipped AI agents as teaching tools, and won the ElevenLabs national hackathon doing it. If you're building reliability practice into a team, or building people into engineers, I'm glad to talk.
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Site Reliability Engineer at Morgan Stanley, Jul 2026 - Present · 3 mos, Bengaluru, Karnataka, India, Engaged via mthree, working on production environments in a high-availability financial services setting — deploying, monitoring, and supporting systems to keep uptime and reliability high. Day-to-day involves Prometheus/Grafana observability, on-call incident response, and structured postmortems. I also feed real production and incident learnings back into DevOps/SRE training content I build outside this role.
Curriculum Engineer at Masai, Jan 2026 - Jul 2026 · 7 mos, Bengaluru, Karnataka, India
Software Developer and Instructor at NxtWave, Mar 2025 - Jan 2026 · 11 mos, Hyderabad, Telangana, India
re/Start Graduate at Amazon Web Services (AWS), Feb 2025 - Mar 2025 · 2 mos, Hyderabad, Telangana, India
Research Analyst at SR University, Jul 2023 - Jan 2024 · 7 mos, Warangal, Telangana, India
Bachelor of Technology, Computer Science and Engineering, Vasireddy Venkatadri International Technological University
github: https://github.com/Harsha-Vardhan-Penugonda