Headline

Site Reliability Engineer (SRE) | AIOps & Platform Engineering | AWS · Azure · Kubernetes · Terraform · Python | Incident Management, Observability, SLO/Error Budgets | LLM & Agentic AI for Ops | 9+ yrs

About

Site Reliability Engineer with 9+ years running production infrastructure for payment and enterprise platforms. Current platform handles high daily transaction volume at 99.9% uptime, with MTTR down 40%. My day-to-day is incident management, on-call, root cause analysis, and the automation that stops the same incident happening twice. I work across AWS, Azure, Kubernetes, Linux, Terraform, Ansible and CI/CD (Jenkins, GitHub Actions, Azure DevOps), with observability on Dynatrace, Splunk, New Relic, Prometheus and Grafana. I built the SLO, SLI and error-budget framework my team runs on. For the last two years I have been moving that work into AIOps. I designed AROE (AI-Assisted Reliability and Operations Enhancement), an AI incident-management platform: ML anomaly detection, LLM-generated root cause analysis with confidence scoring, RAG over runbooks and past incidents, and auto-remediation on Kubernetes gated above a 90% confidence threshold, with recovery validation and full audit logging. I am also an Executive PhD researcher in AI/ML at NIT Rourkela, and I publish open-source work on GitHub. What I am looking for: Site Reliability Engineer, Senior SRE, Platform Engineer, AIOps Engineer, MLOps Engineer or Applied AI Engineer roles in Bangalore, Bhubaneswar, or remote across India. Reach me at hi@sarojnayak.com Skills: Site Reliability Engineering, SRE, Incident Management, Root Cause Analysis, SLO, SLI, Error Budgets, MTTR Reduction, On-Call, Production Support, AWS, Azure, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitHub Actions, GitOps, ArgoCD, Python, Bash, Linux, Dynatrace, Splunk, New Relic, Prometheus, Grafana, Elasticsearch, OpenTelemetry, AIOps, MLOps, LLM, RAG, Agentic AI, Anomaly Detection, ITIL.

Location

Bengaluru

AI stack

github copilot

langchain

langgraph

ollama

OpenAI Agents SDK

PydanticAI

Work experience

Site Reliability Engineer (SRE) — AIOps & Platform Engineering at Wipro, Feb 2024 - Aug 2026 · 2 yrs 7 mos, Bengaluru, Karnataka, India, • Run L2/L3 production support and incident response for a high-volume payment gateway, holding a 99.9% uptime SLA through hands-on troubleshooting, root-cause analysis, and on-call coordination. • Set up and tuned monitoring across Dynatrace, Splunk, and New Relic. Alert correlation cut the noise by about half and made the on-call signal clearer. • Resolved production incidents by tuning SQL and database performance and analyzing the data; payment failure rate fell from 2.3% to 0.8%. • Standardized releases with CI/CD (Jenkins, GitHub Actions, Bitbucket) and infrastructure-as-code in Terraform and Ansible, which cut config drift and manual deploy steps. • Automated routine ops in Python and Bash and wrote runbook automation for 30+ incident types, bringing MTTR down about 40%. Started using LLMs to speed up first-response triage. • Built the SLO, SLI, and error-budget framework for production, with capacity models that flagged SLA risk before peak load.

Principal Site Reliability Engineer (SRE / DevOps) at Accion Labs, Jan 2023 - Mar 2024 · 1 yr 3 mos, Bengaluru, Karnataka, India, • Handled incident classification, routing, and resolution across 150+ production applications, reaching 98% first-contact resolution and cutting escalations by 40%. • Centralized logging and monitoring on Splunk, ElasticSearch, Grafana, and OpenTelemetry. Better alert escalation cut time-to-notify by 45%. • Automated 15+ ops workflows in Python and Bash, taking toil down by about two-thirds and freeing roughly 25 engineerhours a week. • Ran Kubernetes clusters with CI/CD deployment gates and GitOps releases, dropping deployment failures from 15% to 2% and letting the team release more often.

Specialist — Infrastructure & Operations (Production Support / SRE) at Merck KGaA, Darmstadt, Germany, May 2017 - Nov 2019 · 2 yrs 7 mos, Bengaluru Area, India, • Managed 25 virtual collaboration platforms for 55+ enterprise clients across 12 countries, lifting availability from 94% to 99.2% and reducing ticket volume ~30% through proactive monitoring and self-service automation. • Delivered digital transformation initiatives (Regulatory Forecaster Tool, China RTR Digital Tool) that improved operational efficiency ~40%, earning an End-of-Year Performance Award. • Led incident response and change management for globally distributed infrastructure across multiple time zones to meet enterprise SLAs.

Software Engineer — Production Support (L1/L2, Linux & Automation) at PERSISTENT NETWORKS PVT.LTD., Jan 2014 - Apr 2017 · 3 yrs 4 mos, Bhubaneswar, • Maintained 99.5% SLA compliance for enterprise batch processing and automated 25+ Autosys jobs, eliminating 20+ manual hours per week. • Performed root cause analysis and production troubleshooting across Linux systems, scripting, and job scheduling. • Mentored junior engineers through structured incident-handling and SRE training.

Founder & Mobile App Consultant at Kode Konductors, Aug 2011 - Dec 2013 · 2 yrs 5 mos, Bhubaneswar, Odisha, India, Founded and ran a startup focused on developing mobile applications for government agencies and multinational clients. Led client engagement, product design, and app development using both native and hybrid mobile frameworks.

Education

Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, krupajal engineering college

Intermediate, Sunabeda Public School

Public links

github: https://github.com/sarojgn810

sarojnayak.com: https://www.sarojnayak.com/