Headline

Immediate Joiner | Senior Software Engineer | Go (Golang) | Kubernetes Controllers & Distributed Systems | Cloud-Native & Storage Platforms | Ex-InfraCloud | Remote / Hybrid / On-site

About

Software engineer with 5+ years of experience building reliable, performance-tuned, cloud-native systems in Go and Python, with deep specialization in Kubernetes controller engineering, distributed systems, and data protection/backup infrastructure. At InfraCloud Technologies, I work on an enterprise-grade Kubernetes data management product (backup & disaster recovery) serving large production clusters. My work spans: • Resolving concurrency races and silent stalls in distributed Kubernetes controllers (monotonic revision counters, non-blocking transient-retry state machines) • OS-level storage optimization in Go (posix_fadvise page-cache hints, block-aligned disk-cache accounting) — ~20% faster backups and ~30% lower RAM on IOPS-constrained clusters; 12% throughput gain on 100M+ file workloads • Kubernetes resource lifecycle safety (OwnerReferences, two-factor GC eligibility, CEL-based CRD immutability validation) • End-to-end ownership: design docs → architecture review → implementation → testing → release pipelines; mentoring and onboarding new engineers Open source: merged contributions to Kanister (RepositoryServer workflows, Kopia command wrappers, AWS SDK v2 migration); acknowledged performance/infra bug reports in Kopia and Red Hat Operator SDK. Earlier: MuleSoft Runtime Fabric on AWS EKS (Apisero); multi-cloud orchestrator managing hundreds of VMs/K8s clusters across AWS, Azure, GCP, and KVM (GS Lab). Core stack: Go, Python 3, Kubernetes (controllers, CRDs, client-go, Kubebuilder, Helm), AWS (EKS, S3, IAM), Docker, OpenShift, MongoDB, Flask, Git/CI-CD, Prometheus/Grafana. Open to Senior Backend / Platform / Kubernetes / Cloud Infrastructure roles.

Location

Pune Division

AI stack

antigravity

claude code

claude

codex

github copilot

notion

Work experience

Product Engineer at InfraCloud Technologies - An Improving Company, May 2022 - Sep 2026 · 4 yrs 5 mos, Pune City, Maharashtra, India, Product Engineer on an enterprise-grade Kubernetes data management (backup & DR) platform for large-scale production clusters. • Resolved critical concurrency races in a distributed Kubernetes controller (shared backup server): eliminated silent 2-hour export stalls and credential flush races via monotonic revision counters and non-blocking transient retry gates. • Optimized OS-level storage behavior in Go: posix_fadvise page-cache hints via SyscallConn and block-aligned disk-cache accounting — ~20% faster backups, ~30% lower RAM on IOPS-constrained clusters; prevented ENOSPC pod evictions on terabyte-scale backups. • Improved backup throughput by 12% (validated on 100M+ file workloads) by migrating cache to bounded emptyDir volumes with Helm-configurable size limits. • Stopped leakage of dynamic Services/NetworkPolicies/Secrets via native OwnerReferences and two-factor GC eligibility checks; enforced CRD field immutability with CEL validation rules (zero webhook overhead). • Owned features end-to-end: design/architecture docs, review approvals, implementation, testing, pre-prod release pipelines; mentored new joiners and led product onboarding. • Open source: merged PRs to Kanister; acknowledged bug reports in Kopia and Operator SDK.

Senior Software Engineer at Apisero Inc., Aug 2021 - May 2022 · 10 mos, Pune Division, Maharashtra, India, • Designed and implemented MuleSoft Runtime Fabric on AWS EKS, enabling resilient, scalable API microservice deployments for enterprise clients. • Built high-quality, resilient integration APIs; conducted technical workshops on emerging technologies for client teams. • Won the Raving Reviews Award multiple times for excellent client feedback and proactive technical initiatives.

Software Engineer at GS Lab, Sep 2020 - Aug 2021 · 1 yr, Pune Division, Maharashtra, India, • Co-built a Multi-Cloud Service Orchestrator (Python 3, Flask-RESTful, MongoDB, Go) managing hundreds of VMs and Kubernetes clusters across AWS, Azure, GCP, Alibaba, and on-prem KVM from a single dashboard; deployed on Kubernetes and later productized by the company. • Shipped containerized applications with Docker; deployed and operated on Kubernetes and OpenShift. • Led client consultations for requirements gathering; delivered customized, tested, well-documented solutions.

Intern at GS Lab, Aug 2019 - Sep 2020 · 1 yr 2 mos, Pune/Pimpri-Chinchwad Area, • Engineered reliable, efficient codebases for in-house applications; hands-on across Python 3 backend and DevOps practices (Docker, Kubernetes).

Education

Bachelors of Technology (Hons.), Computer Science and Engineering, Lovely Professional University

Senior Secondary, Physics, Chemistry and Maths, National Academy

Public links

github: https://github.com/r4rajat

r4rajat.com: https://www.r4rajat.com/