Kalpesh Deo — Software Engineer

I am a Principal / Lead Software Engineer with 17+ years of experience building and scaling backend systems for high-growth, data-intensive platforms. Over the years, I’ve specialized in designing cloud-native, API-driven architectures with a strong focus on performance, scalability, reliability, and cost optimization. My core expertise lies in backend engineering, primarily using Golang and Java (Spring Boot), with deep hands-on experience in Kafka, distributed systems, and large-scale data pipelines. I’ve worked extensively with multi-tenant architectures, secure authentication systems, and storage platforms handling petabytes of data and millions of events per hour. I have a strong background in streaming and data infrastructure—from benchmarking and tuning Kafka clusters to designing ELT pipelines that move data seamlessly from PostgreSQL to Kafka and Elasticsearch. I’m comfortable working close to the metal when needed, whether that’s fine-tuning producer/consumer configurations, diagnosing rebalancing issues, or optimizing executor and task configurations in stream-processing systems. Beyond systems design, I’m deeply invested in engineering quality and operational excellence. I routinely work on CI/CD pipelines, observability and monitoring (Datadog), secure credential management, and fault-tolerant authentication services that support failover strategies and gradual migrations. I prefer clean, hexagonal architectures and pragmatic design choices that balance long-term maintainability with delivery speed. As a tech lead, I regularly: • Drive backend architecture and technical direction • Mentor engineers and conduct structured interviews • Write clear design documents and deployment runbooks • Collaborate closely with product, platform, and DevOps teams I also enjoy sharing knowledge—whether through internal documentation, structured interview feedback, or speaking at meetups on real-world engineering problems like streaming data pipelines and system trade-offs.

Stackforce AI infers this person is a Backend Engineering expert in SaaS with a focus on scalable architectures.

Location: Pune, Maharashtra, India

Experience: 17 yrs 10 mos