Headline

SSE at Arcesium| Java | C++ | Python | DSA | LLD | Flask | Async | Docker | PostgreSQL | SQL | AWS | Azure | CI/CD | Building Scalable Backend APIs Distributed Systems

About

Backend Java Developer with 2+ years of experience designing and architecting highly scalable REST APIs and distributed systems using Java, Spring Boot, and PostgreSQL. Proficient in building fault-tolerant, containerized microservices (Docker/Kubernetes) and orchestrating automated CI/CD workflows. Experienced in integrating AI-driven capabilities—such as LLM-based similarity search algorithms—into production-grade backend architectures, and adept at leveraging AI-assisted tools to accelerate feature delivery. Passionate about collaborating with cross-functional teams to build secure, high-performance, and cloud-ready applications on AWS.

Location

Bengaluru

AI stack

claude code

claude

codex

gemini

geminicli

Work experience

Software Engineer 2 at Arcesium, Apr 2026 - Present · 5 mo, Bengaluru, Karnataka, India, • Delivered scalable backend services within the Trinity infrastructure team, supporting platforms that process 100,000+ daily financial events with 99.9% availability, by engineering microservices using Java and Spring Boot. • Improved distributed data ingestion throughput by 15% and reduced p99 latency by 200ms, by architecting asynchronous processing pipelines and optimizing database validation layers. • Streamlined cloud deployment workflows and system maintainability, reducing manual intervention in release cycles by 30%, by configuring automated Kubernetes scaling policies and AWS resource monitoring.

SDE II at Kantata, Jan 2026 - Mar 2026 · 3 mos, Remote, • Developed backend services for an internal BI tool managing analytics access for a multi-tenant SaaS platform serving 1000+ enterprise accounts and 100K+ users. • Implemented automated user provisioning workflows to track AWS QuickSight license consumption based on availability. • Optimized database access patterns and resolved N+1 query issues, reducing average response latency by 35% and supporting 2–3x higher request throughput.

Software Engineer at Societe Generale Global Solution Centre, Jul 2023 - Jan 2026 · 2 yrs 7 mos, Bengaluru, • Led API development, refining RESTful services to reduce latency by 30% and consistently deliver sub-200ms response times for 500+ banking clients. • Automated 80% of cloud workflows using Airflow and optimized private cloud operations, improving system performance and reducing service costs by 30%. • Implemented CI/CD pipelines and containerized microservices with Docker & Kubernetes, boosting deploy- ment efficiency by 60%, increasing deployment frequency by 50%, and maintaining 99.5% uptime. • Collaborated cross-functionally with DevOps, back-end, and QA teams to apply automated monitoring, en- suring 99% workflow consistency and enhancing overall system reliability.

EID Intern at GE Healthcare, May 2022 - Jul 2022 · 3 mos, Bengaluru, Karnataka, India, • Developed a connectivity test platform and diagnostic interface, improving test efficiency by 40% and workflow efficiency by 30% through real-time data visualization and intuitive design. • Implemented testing protocols ensuring healthcare compliance, improving accuracy by 25% and device reliability.

Education

Bachelor of Technology - BTech, Electrical and Electronics Engineering, National Institute of Technology Rourkela

Public links

github: https://github.com/dinesh1307m

leetcode: https://leetcode.com/dm1307