Headline

Senior Software Engineer (SDE 3) | Java, Spring Boot, Kafka | Distributed Systems & Platform Engineering | Morgan Stanley

About

I'm a backend engineer with 7.5+ years of experience building scalable, event-driven platforms in financial services. At Morgan Stanley, I own a five-microservice reference-data platform that serves Trading, Risk, and other downstream teams, covering architecture and design through to production support. Recent wins: - Cut cache initialization time by 90%+ with multithreaded, region-parallel caching - Improved vendor data pipeline throughput by 30%+ with eight Apache Airflow DAGs - Built resilient ingestion for rate-limited market data APIs (retry and polling design) - Drove 85%+ test coverage on a high-volume banking platform, cutting production defects by ~40% I enjoy hard backend problems: messaging patterns, caching, performance tuning, reliability, and incident response. I also mentor engineers and interview candidates. Stack: Java, Spring Boot, Apache Kafka, Python, Airflow, MongoDB, Redis, Docker, Kubernetes, Prometheus/Grafana. Working knowledge of AWS. Open to Senior SDE / SDE-3 roles in Bengaluru and Hyderabad. Reach me: ambikapandit97@gmail.com

Location

Bengaluru

AI stack

claude

github copilot

openai

xai

Helicone

Work experience

Software Engineer III at Morgan Stanley, Jan 2025 - Present · 1 yr 10 mos, Bangalore Urban, Karnataka, India, - Own design, development, deployment and production support of a centralized reference-data platform (five Spring Boot microservices) serving Trading, Risk and multiple downstream teams. - Lead architecture and design decisions on messaging, caching and data stores with Trading, Risk and business stakeholders - Key responder for major production incidents using Prometheus, Grafana, Loki and Splunk - Cut cache initialization time by 90%+ via multithreaded, region-parallel EHCache loading - Designed 8 Airflow DAGs for vendor onboarding, reconciliation and distribution, improving throughput by 30%+ - Architected onboarding of two market-data providers, including retry logic for HTTP 429 rate-limited APIs - Implemented async Kafka producer/consumer patterns for decoupling, scalability and resiliency - Optimized MongoDB queries and built Python validation utilities, taking response times from minutes to seconds

Manager at Morgan Stanley, Jan 2024 - Jan 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India

Senior Associate at Morgan Stanley, Aug 2022 - Jan 2024 · 1 yr 6 mos, Bengaluru, Karnataka, India, Apache Airflow DAGs and Data Pipeline Management • Led development and management of critical data pipeline using Apache Airflow DAGs, ensuring seamless data flow. • Designed and implemented efficient DAGs for precise task scheduling, smart file polling, and process triggering. • Developed sophisticated file polling mechanism with smart sensors to optimize file identification and extraction. • Collaborated closely with Talend integration team for high-performance data processing and analysis. • Implemented robust logic system for smooth file movement, ensuring data integrity and enhancing efficiency. • Designed and implemented archival system for organized storage and easy retrieval of processed files. MongoDB Performance Optimization • Decreased API response time from 5 minutes to 5 seconds through MongoDB best practices. • Optimized query performance with efficient indexes and proper key order. • Enhanced query execution speed with optimized structure and query optimization features. • Collaborated with API development team to improve MongoDB usage and query performance. • Proactively monitored and fine-tuned MongoDB performance for responsiveness and scalability. Real-time Product Status & Filewatcher Utility • Developed real-time product status utility using Python scripts, optimized data retrieval. • Engineered efficient CSV report generation system, comprehensive data extraction and transformation. • Automated report distribution via email with SMTP protocols, including attachments. • Created Autosys jobs, continuous file monitoring, prompt detection of missing files. Acted as an occasional Scrum Master, facilitating Agile ceremonies and ensuring timely delivery. Collaborative team player skilled in effective communication, alignment, and active participation in code reviews.

Technology Consultant at EY, Jan 2022 - Aug 2022 · 8 mos, Bangalore Urban, Karnataka, India, Built backend services and REST APIs in Java and Spring Boot for the FIS Modern Banking Platform (deposits, ACH transfers, scheduled payments, term deposits). - Used Kafka and ActiveMQ for asynchronous messaging across distributed banking services - Reached 85%+ code coverage with JUnit and Mockito, reducing production defects by ~40% - Worked with global engineering, QA, product and business teams in Agile cycles

Associate Consultant at EY, Jun 2021 - Jan 2022 · 8 mos, Bengaluru, Karnataka, India

Assistant System Engineer at Tata Consultancy Services, Jan 2020 - Jun 2021 · 1 yr 6 mos, Pune, Maharashtra, India, Built backend services and REST APIs in Java and Spring Boot for enterprise banking and retail applications (pricing, royalty management, loan processing, legacy modernization). - Helped migrate legacy PHP applications to Java and Angular architectures - Set up Jenkins and Git CI/CD pipelines, cutting manual deployment effort by ~20% - Integrated SonarLint to address vulnerabilities and technical debt early

Assistant System Engineer - Trainee at Tata Consultancy Services, Apr 2019 - Jan 2020 · 10 mos, Mumbai, Maharashtra, India, Worked in Retail Domain project. Experience: • Worked on the development of RESTful web services. • Worked with technologies: Java8, MAVEN, Spring Boot, SVN. • Worked on Oracle Database using SQL and PLSQL • Worked in an AGILE environment.

Education

Bachelor of Technology - BTech, Computer Software Engineering, Government College of Engineering, Amravati.

School, Bhavan's Lloyds Vidya Niketan