Sibasish Tripathy

Software Engineer

Hyderabad, Telangana, India2 yrs 6 mos experience

Key Highlights

Expert in building scalable distributed systems.
Proficient in Java ecosystem and microservices architecture.
DevOps-minded with AWS and container management experience.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and SaaS with a focus on scalable distributed systems.

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Skills

Core Skills

JavaSpring BootApache KafkaAwsApi DevelopmentRedisMicroservices

Other Skills

Representational State Transfer (REST)MongoDBAmazon SQSSQL OptimizationOAuth2JWTGoogle Cloud Platform (GCP)Data StructuresGitPythonPython (Programming Language)Machine LearningAngularMicrosoft AzureAzure Cosmos DB

About

Backend Engineer with 3+ years of experience designing and scaling high-performance distributed systems. I specialize in the Java ecosystem, transitioning monolithic applications into robust Microservices architectures. My expertise lies not just in writing code, but in engineering systems that handle scale. I focus on building event-driven architectures using Kafka, optimizing database performance via SQL tuning, and reducing latency with Redis caching strategies. I am a "DevOps-minded" developer, comfortable deploying to AWS and managing containerized workloads with Docker and Kubernetes. I value clean architecture, strictly adhering to SOLID principles and delivering reliable code through rigorous unit testing and CI/CD automation. Technical Highlights: Core Backend: Java (8/11/17), Spring Boot, Spring Data JPA, RESTful API Design (Versioning/Idempotency). Distributed Systems: Event-Driven Architecture, Apache Kafka (Consumer Groups/Retry Patterns), Redis (Caching/TTL). Data & Storage: SQL Optimization, Indexing, Transaction Management, MySQL, PostgreSQL. Infrastructure: AWS (EC2), Docker, Kubernetes, Jenkins CI/CD, Maven/Gradle. Engineering Quality: JUnit/Mockito, Design Patterns, Code Reviews, Agile/Scrum. Signature Approach: I build systems that are scalable by design and observable in production. I am passionate about solving concurrency challenges and tuning applications for high availability and throughput.

Experience

2 yrs 6 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 mos

Current Experience

Microsoft

Software Engineer

Apr 2026 – Present · 2 mos · Noida, Uttar Pradesh, India · Hybrid

Swiss re

Software Engineer

Jan 2026 – Mar 2026 · 2 mos · Hyderabad, Telangana, India · Hybrid

JavaSpring Boot

Highradius

4 roles

Software Engineer

Promoted

Jan 2025 – Dec 2025 · 11 mos

Engineered fault-tolerant data pipelines using Apache Kafka and Amazon SQS, boosting system uptime to 99% and cutting data loss during peak load by 20%.
Enhanced the efficiency of data-processing jobs (handling 10M+ records) by optimizing SQL queries and database schema.
Boosted API throughput under 50K–70K daily calls using Redis caching and secured authentication pipelines with OAuth2, JWT, and Basic Auth.
Deployed services on AWS EC2 + Kubernetes, achieving uptime to 99.9% and ensuring autoscaling under workload.

Representational State Transfer (REST)MongoDBApache KafkaAWS

Associate Software Engineer

Jul 2023 – Dec 2024 · 1 yr 5 mos

Migrated monolithic system to microservices architecture using Java & Spring Boot, cutting deployment time by 35% and increasing modularity for faster feature delivery.
Developed REST APIs (Spring Boot) used by 8+ internal teams, reducing integration time for new modules by 40%.
Optimized API response time from 850ms to 110ms via Redis caching, DB indexing, and request-level profiling.
Conducted 15+ structured peer code reviews enforcing clean code and SOLID principles.

Google Cloud Platform (GCP)Data StructuresMicroservicesJava

Machine Learning Intern

Jun 2022 – Jun 2023 · 1 yr

Created Python-based algorithms to automate deduction validation, reducing processing time and resource usage by 65 percent.
Automated Claim and Proof of Delivery workflows, accelerating research and investigation processes by 80 percent.
Implemented data validation pipelines that improved data accuracy by 40 percent and reduced data retrieval time.

GitPython

Product Development Intern

Jan 2022 – Mar 2022 · 2 mos · Remote

Designed and deployed a full-stack application using React, JDBC, Java, Servlets, JSP, and relational databases.
Developed a Python regression model for real-time partial payment prediction, reducing processing errors by 15 percent.
Applied Agile and test-driven development practices to deliver maintainable, high-quality software.

Python (Programming Language)Machine Learning