Hitesh Jaisinghani
@hiteshjaisinghani
Engineering manager focused on SRE/DevOps, delivering reliable cloud platforms with IaC, CI/CD, and AI enablement.
What I'm looking for
I’m an Engineering Manager specializing in SRE/DevOps with 9+ years across cloud infrastructure, platform engineering, and production operations in AWS environments. I lead with an automation-first mindset, combining infrastructure as code, CI/CD, and SLO-driven reliability to help teams ship securely and consistently.
At Morningstar India, I led an AI-driven release and observability platform that reduced manual triage and improved MTTR, and I built RAG-based platforms to process SEC filings into actionable financial insights. I also standardized DevSecOps controls in CI/CD, drove end-to-end ML productionization, and optimized cloud spend by ~15% through FinOps—while mentoring a team of 11 engineers to strengthen reliability engineering practices.
Experience
Work history, roles, and key accomplishments
Led an AI-driven release and observability platform using AWS Bedrock and Claude, reducing manual triage effort and improving MTTR. Standardized Harness CI/CD with DevSecOps controls and optimized AWS spend across 8 projects, cutting costs by ~15% while mentoring 11 engineers.
Led cross-functional SRE and platform engineering for AWS production reliability, defining SLAs/SLOs to prioritize stability initiatives. Migrated CI/CD from Jenkins to Harness with zero delivery disruption, automated Terraform provisioning across multi-account AWS, and reduced backup execution time by ~40% using S3/Athena/Redshift.
Designed CI/CD pipelines with Jenkins and Terraform and delivered containerized microservices deployments using Docker, Amazon ECS, and ECR. Built centralized observability with Prometheus, Grafana, ELK, Splunk, and CloudWatch, and automated operational workflows with Python and Bash to reduce manual effort.
Automated CI/CD workflows executing 21 analytical models in a single pipeline run, improving efficiency and reducing execution time. Optimized release workflows, AMI lifecycle, and disaster recovery processes, and implemented security scanning and release validation pipelines to enhance software quality.
Managed ITIL incident, change, and problem processes in ServiceNow to ensure SLA adherence and minimize downtime. Built CI/CD pipelines with Jenkins and AWS CodePipeline, supported AWS infrastructure provisioning and monitoring, and performed root cause analysis and post-incident reviews to drive continuous service improvements.
Education
Degrees, certifications, and relevant coursework
Scaler Neovarsity
Master of Science, Artificial Intelligence & Machine Learning
2025 -
Pursuing an M.S. in Computer Science with a focus on Artificial Intelligence & Machine Learning since Jan 2025.
Oriental College of Technology (RGPV)
Bachelor's Degree, Electronics & Communication Engineering
2012 - 2016
Grade: 75 %
Earned a bachelor's degree in Electronics & Communication Engineering (May 2012 to Jun 2016).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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