Headline

Turning Infrastructure into Scalable, Reliable Systems | Performance Engineering • Cloud • DevOps

About

👋 Hi, I’m Rajnish — an IT Engineer with ~4 years of experience at the crossroads of Performance Engineering, Cloud Infrastructure, and DevOps. 🔧 By day, I love digging into the nuts and bolts of system performance — benchmarking, finding bottlenecks, and squeezing out efficiency to make large-scale systems run faster and smarter. From automating CI/CD pipelines in Jenkins to deploying cloud-native architectures on AWS & Kubernetes, I thrive on solving complex engineering challenges. 🚀 My journey so far has taken me through: • Cohesity → optimizing enterprise appliances, building performance regression pipelines, and driving data-backed scalability improvements. • Lentra → leading cloud migrations to AWS, automating with Terraform, Packer, Ansible, and building resilient EKS-based architectures. • Seagate → creating provisioning frameworks, modernizing automation with Python 3, and deploying multi-node Kubernetes clusters with MinIO & Kafka. 🏏 Outside of tech, you’ll probably find me: • On the cricket field (or glued to a match when India plays) • Geeking out over the stock market 📈 • Binge-watching a good series 🎬 💡 I’m passionate about performance, scalability, and automation — but equally about staying curious, learning new skills, and keeping life balanced with my interests. Always open to connecting with fellow engineers, cloud enthusiasts, and cricket fans alike.

Location

Pune Division

AI stack

claude code

claude

cursor

github copilot

Work experience

MTS II at Cohesity, Dec 2024 - Present · 1 yr 11 mos, Pune District, Maharashtra, India · Hybrid, ✯ Developed a framework for executing regression runs, enabling reliable release-over-release performance validation. ✯ Benchmarked enterprise appliances to analyze throughput, latency, and resource utilization under varied workloads. ✯ Enhanced observability with Prometheus & Grafana, helping detect bottlenecks and regressions early. ✯ Delivered performance insights & sizing recommendations that improved customer workload efficiency.

Software Engineer (Legacy Veritas) at Cohesity, Nov 2023 - Dec 2024 · 1 yr 2 mos, Pune District, Maharashtra, India · Hybrid, Transitioned into Cohesity as an MTS II, continuing in the same role post-merger.

DevOps Engineer at Lentra, Jun 2023 - Nov 2023 · 6 mos, Pune District, Maharashtra, India, ✯ Migrated production workloads to AWS, improving scalability and cost efficiency. ✯ Automated infrastructure provisioning with Terraform & Packer for consistent deployments. ✯ Deployed high-availability applications on Amazon EKS, boosting resilience. ✯ Streamlined CI/CD pipelines in Jenkins, reducing release cycles.

Intern III at Seagate Technology, Jul 2022 - Jun 2023 · 1 yr, Pune District, Maharashtra, India, ✯ Built a Provisioner Framework for CORTX-Halo, simplifying setup and configuration. ✯ Modernized SAN automation scripts (Python 2 → 3) for reliability and maintainability. ✯ Deployed multi-node Kubernetes clusters with MinIO & Kafka for scalable testing. ✯ Contributed to Seagate’s open-source projects, improving adoption and visibility..

Release Manager at Cling Multi Solutions Pvt. Ltd., Jan 2022 - Jun 2022 · 6 mos, ✯ Successfully delivered 5 projects. ✯ Identified test scenarios, estimated test efforts, and created test plans. ✯ Maintained regression test suite and other testing scenarios. ✯ Decreased dev workload by >30% due to the improvement of the QA process. ✯ Identified critical logic which decreased the chances of bugs by >25%. ✯ Coordinated with internal resources and clients for flawless execution. ✯ PoCs on new technologies as per the client's requirement. ✯ Reduced AWS cost by >20%. ✯ Created and delivered Architecture documents.

Software Quality Assurance Analyst at Cling Multi Solutions Pvt. Ltd., Jan 2021 - Jan 2022 · 1 yr 1 mo, ✯ Worked as QA Analyst ✯ Identified test scenarios, estimated test efforts, and create test plans ✯ Maintained regression test suite and other testing scenarios ✯ Evaluated the quality of products that will be delivered

Internship Trainee at ARTH - The School of Technologies, Sep 2020 - Sep 2021 · 1 yr 1 mo, Learned about various technologies and their integration by implementing multiple projects. ◕ Technologies learned: ► DevOps ► Cloud ► Data Science ( Machine Learning / Deep Learning ) ► OS ► Networking ► Hadoop ► Linux Security & TroubleShooting ► AI ► DataBase And much more

Education

Bachelor of Technology - BTech, Information Technology, Vishwakarma Institute of information technology

Senior Secondary, Science, Divine Child High School