Senior Full-Stack Software Engineer with Java/Python & Cloud

Sai Kumar Bachireddy

+1-508-***-**** ***********@*****.*** linkedin.com/in/sbachireddi

Summary

Full Stack Software Engineer with 4+ years of experience building and deploying scalable enterprise applications across Finance and Healthcare domains. I have expertise working with Java, Python, Spring Boot, React, Node.js, and Cloud-native microservices on AWS and Azure. Experienced in optimizing application performance, streamlining CI/CD pipelines, and integrating ML and Generative AI solutions to drive real-time insights and business efficiency. AWS Certified Solutions Architect with a track record of cutting latency and deployment friction in regulated, compliance-heavy environments.

Relevant Skills

• Languages: Java, Python, C, JavaScript, TypeScript

• Frontend Development: React, Angular, HTML, CSS, Material UI, Redux, Vite, React Hooks, Jest

• Backend Development: Spring Boot, Tomcat, Hibernate ORM, Node.js, RESTful APIs, Microservices Architecture, Kafka, gRPC, RabbitMQ, JDBC, Database design

• GenAI/ML: LLMs, RAG, LangChain, OpenAI API, Embedding/Vector DBs, Scikit-learn, Pandas, NumPy

• Databases: MySQL, Oracle, PostgreSQL, Redshift, MongoDB, Elasticsearch, Redis, DynamoDB

• DevOps & CI/CD: Jenkins, GitLab, GitHub Actions, Docker, Kubernetes, Maven, Gradle, Ansible, Terraform

• Testing & Automation: JUnit, Mockito, JMeter, Selenium, Cypress, Postman, API Testing

• Cloud & MLOps: AWS (EC2, S3, RDS, EKS, Lambda, API Gateway), Azure, Model Serving, MLflow Experience

Fidelity Investments 01/2025 – present

Full Stack Developer Boston, Massachusetts

• Designed and maintained Financial reporting APIs using Spring Boot and Spring MVC, supporting concurrent access by hundreds of portfolio managers during peak trading windows with sub-500ms response times.

• Collaborated with cross-functional UI/UX teams to design and implement responsive, accessible frontend using React, Redux and Node.js, serving portfolio managers and analysts across wealth management division.

• Containerized microservices using Docker on Kubernetes (AWS EKS) clusters. Implemented load balancing

(ALB), auto-scaling policies and AWS CloudWatch monitoring, and scaled 5 traffic surges with 99.9% uptime.

• Resolved slow dashboard load times by introducing Redis caching, PostgreSQL query indexing, and optimized Spring Data JPA access patterns, reducing API latency from 5s to 250ms and improving user experience.

• Integrated OpenAI GPT-4 using LangChain and Retrieval-Augmented Generation (RAG) to automate financial insights, compliance summaries and reduced average review time from 4 hours to 2.5 hours per analyst.

• Built Apache Kafka based streaming pipelines with Apache Spark processing to transform and enrich portfolio data for downstream GenAI services, enabling scalable, near real-time financial insight generation.

• Operationalized CI/CD pipelines using GitHub Actions/Jenkins, automating Java builds using Maven, integrating Unit/Integration tests to enable continuous integration, reducing deployment time from 2 hours to 45 minutes.

• Collaborated within Agile Scrum teams to drive iterative development and shared ownership of deliverables. Utilized AI-assisted tools such as GitHub Copilot, Claude to accelerate feature development and code quality. Lahey Hospital & Medical Center 02/2024 – 12/2024

Software Development Engineer Burlington, Massachusetts

• Designed HL7 FHIR-compliant APIs for EHR Patient management, eliminating manual multi-step lookups for 200+ clinicians while enforcing HIPAA PHI controls through role-based masking and audit logging.

• Built responsive, user-friendly frontend interfaces using React, HTML5, CSS3, Bootstrap, integrating with backend microservices to deliver seamless customer and internal portal experiences for 50,000+ users.

• Developed Spring Boot microservices with Hibernate ORM (JPA) for PostgreSQL and Spring Data MongoDB, incorporating PL/SQL stored procedures for clinical workflows and achieving 40% lower p95 read latency.

• Introduced RabbitMQ-based async messaging to decouple a tightly coupled service chain that was causing cascading failures during peak load, eliminating timeout errors that previously required manual intervention.

• Partnered with data science teams to integrate ML-driven analytics into clinical reporting by building data pipelines with Kafka and Spark and deploying models via MLflow to support real-time decision-making.

• Automated CI/CD workflows using GitHub Actions and Jenkins, integrating SonarQube for static code analysis and optimizing unit and integration tests, achieving 98% test coverage and reducing software defects.

• Used centralized logging with the ELK stack (Elasticsearch, Logstash, Kibana) to investigate production issues, cutting average incident resolution time from hours to under 20 minutes by centralizing logs.

• Conducted a targeted OWASP Top 10 security audit on the patient data APIs, remediating all critical findings including SQL injection and broken access control vulnerabilities before the Q4 2024 production release. BlackRock 07/2021 – 11/2022

Software Engineer Mumbai, India

• Built and maintained backend services using Spring Boot, Spring Security, and GraphQL, consolidating redundant REST calls into single graph queries and measurably reducing server load during peak trading hours.

• Designed MongoDB schema and indexing strategy for portfolio metadata, reducing average query time from 800ms to 120ms and eliminating full collection scans on the most frequently accessed reference data.

• Built Infrastructure as Code pipelines using Terraform on AWS to provision and manage scalable cloud infrastructure, enabling version-controlled, repeatable deployments and reducing environment drift across teams.

• Built a Prometheus and Grafana monitoring dashboard that caught a memory leak in the portfolio pricing service 2 hours before it would have caused a production outage, becoming the standard observability setup.

• Partnered with Product owners and QA during sprint planning and daily stand-ups to clarify acceptance criteria, align on technical feature requirements, and resolve blockers, accelerating feature throughput by 15%.

• Championed Test-Driven Development (TDD) across the team, building a JUnit/Mockito test suite from near-zero coverage to 98%, catching 12 regression bugs before they reached staging. Avanse Financial Services 05/2020 – 06/2021

Associate Software Developer Mumbai, India

• Built and maintained a User authentication and access control service for an education loan platform serving 50,000+ users, implementing Spring Security with OAuth 2.0 and RBAC to enforce secure API access.

• Devised frontend interfaces for education loan application using Angular, implementing controllers, services, and validations, and integrated JasperReports with RESTful services reducing report generation time by 50%.

• Standardized API documentation using OpenAPI 3 docs and Postman collections,introducing review checklists and CI-based linting to improve API consistency and reduce backend support requests by 25%.

• Wrote Python automation scripts for environment setup, and deployment workflows, enabling junior engineers to execute releases independently without senior oversight and freeing 1 day per sprint for the team.

• Managed application deployments on WebLogic Server, configuring JMS queues and monitoring Linux system health to diagnose and resolve production issues during on-call rotations. Education

University of Florida 01/2023 – 12/2024

Master of Science in Computer Science — GPA: 3.8 Florida, United States Certifications

• AWS Certified Solutions Architect – Associate 09/2024 – 09/2027

• Apollo Certified GraphQL Developer – Associate 05/2025

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