Headline

Engineering scalable solutions with Msk and AI expertise.

About

I build systems that don't break under pressure. With 19+ years in software engineering, I specialize in designing, scaling, and optimizing large-scale distributed platforms. My career spans fintech, cloud infrastructure, IoT, and telecom — at JPMorgan Chase, Egnyte, IBM, IoTium, Polycom, and beyond — consistently turning deep scalability bottlenecks into highly observable, high-throughput microservices. The numbers speak: At JPMorgan Chase, I engineered an async Go/Python test framework that achieved 10x capacity (500K+ concurrent requests, 45% faster execution) and re-architected an account migration service into an event-driven microservice processing 5M+ daily migrations — a 100x throughput improvement. At Egnyte, I boosted NFSv3 client I/O 5x, cut cloud costs by 65% (~$130K saved), and improved per-pod throughput 51% via Kubernetes auto-scaling. At IBM, I reduced data consumption by 96%. At Polycom, I tripled recording capacity and improved uptime 10%. The pattern holds: 5–10x efficiency gains driven by profiling, distributed tracing, and relentless optimization. AI-augmented engineering — not a buzzword, a daily practice: For 3+ years, I've championed AI-assisted development across the full SDLC. I mentor teams on agentic IDEs and AI coding assistants — Cursor, Windsurf, Kiro, GitHub Copilot, Claude Code, and Warp — for coding, architecture review, test generation, and documentation. Beyond tooling, I build multi-agent systems for concurrent task orchestration, design meta-prompts that optimize workflows, and work daily with frontier models (Claude Opus/Sonnet 4.6, GPT-4o/5.3) alongside locally hosted models via Ollama and LM Studio. Currently exploring edge AI — building autonomous systems like OpenClaw on personal hardware. Core stack: Go (8+ yrs, primary) | Python | C | Shell | Kubernetes | Docker | Prometheus | Grafana | gRPC | REST | WebSockets | Redis | MongoDB | SQL | Time-Series DBs | Pub-Sub & Event-Driven Architecture Leadership: 6+ years in architect and technical leadership roles — driving observability standards, mentoring on distributed tracing and cloud-native architecture, and leading cross-functional initiatives adopted organization-wide. Always open to connecting with engineers tackling hard problems around resilience, observability, scale, and AI-augmented development.

Location

Greater Bengaluru Area

AI stack

antigravity

claude code

codex

deepseek

grok

opencode

Work experience

Senior Lead Software Engineer at JPMorganChase, Mar 2024 - Present · 2 yrs 8 mos, Greater Hyderabad Area, • Engineered a Go and Python performance test framework, achieving a 10x capacity increase for processing concurrent requests. • Developed a CI/CD-integrated smoke test framework for 15+ microservices, enhancing deployment reliability to 99.9% uptime. • Spearheaded the redesign of the account migration service, achieving a 100x improvement in daily migrations processed. • Decomposed monolithic Go services into independently deployable producer and consumer microservices — identified domain boundaries, designed event-driven decoupling via Kafka and NATS, implemented backward-compatible APIs, and managed migration of 30+ microservices with zero downtime on mission-critical financial infrastructure; each service dynamically auto-scaled independently via Kubernetes HPA/VPA. • Worked extensively with KVM and QEMU-based virtualisation in cloud infrastructure — managed Kubernetes workloads on virtualised compute nodes, debugged VM-level resource contention, and optimised workload placement across hypervisor-hosted environments on AWS and GCP.

Sr Software Engineer at Egnyte, Oct 2021 - Feb 2024 · 2 yrs 5 mos, Hyderabad, • Architect-ed and deployed auto-scaling for a Migration Application, enhancing throughput per pod by 51% using Kubernetes. • Revamped data store access library, implementing protocols that reduced data loss incidents by 43% over two years. • Designed scalable data storage solutions, improving data accessibility by 27% and reducing query times by 63%. • Led decomposition of monolithic cloud storage services into independently deployable microservices on KVM and VMware-virtualised cloud environments — designed domain boundaries, implemented event-driven decoupling via Kafka, migrated data access layers to service-specific stores; 20K+ daily enterprise storage transactions with 35% latency reduction post-decomposition.

Cloud Engineer at IBM, Dec 2020 - Oct 2021 · 11 mos, Banglore, • Enhanced NFSv3 client I/O performance by 5x through code profiling and observability-driven optimizations. • Achieved a 65% reduction in cloud computing costs, saving approximately $130k by refactoring 26 high-cost functions. • Improved infrastructure monitoring data collection by 25% through the implementation of cloud APIs and instrumentation. • Implemented dynamic auto-scaling achieving 75% performance improvement on KVM-virtualised storage workloads.

Technical Leader at IoTium, Mar 2018 - Dec 2020 · 2 yrs 10 mos, Chennai, Tamil Nadu, India, • Led the optimization of distributed systems through enhanced observability, achieving a 96% reduction in data consumption. • Addressed high disk I/O challenges by implementing comprehensive monitoring, boosting system performance by 75%. • Championed technical leadership for IoT edge computing platforms, increasing pub-sub system efficiency by 55%. • Designed and guided the implementation of microservice architectures, enhancing scalability by 50% and reducing latency by 25%. • Led architecture and development with NATS-based pub-sub messaging — low-latency, high-throughput device-to-cloud communication across KVM and QEMU-virtualised edge nodes.

Staff Software Engineer at Poly, Nov 2016 - Mar 2018 · 1 yr 5 mos, Hyderabad Area, India, • Optimized software to double Group Series product capacity, enabling 2x simultaneous callers. • Implemented observability platforms, enhancing system uptime by 10% and reducing incident resolution time by 15%. • Engineered distributed tracing systems for audio/video processing, improving reliability by 30%. • Spearheaded hardware controller development, achieving a 3x reduction in expenses through effective technical leadership.

Education

MCA, Computer Science, Anna university

BCA, Computer Science, Madurai kamaraj University

Public links

github: https://github.com/rajasatyajit