Senior Software Engineer Backend/Cloud-Focused

Om Solanki

Massachusetts (Open to Relocate) *******.*@***********.*** 857-***-**** LinkedIn Github SUMMARY

Software Engineer with 3+ years of experience in backend, cloud-native, and full-stack development, skilled in Java 17, Spring Boot, Microservices, React, Redux, TypeScript, AWS (EKS, S3), Kubernetes, Kafka, Redis, NoSQL DynamoDB, and Generative AI. Strong expertise in DSA, algorithms, system design, and event-driven architectures. Experienced in REST/GraphQL APIs, CI/CD pipelines, observability, monitoring, and cloud infrastructure automation. Delivered systems supporting 20k concurrent active users with zero downtime and achieved $85k annual infrastructure cost savings, building applications with full frontend and backend integration. SKILLS

Programming & Frameworks: Java 17, Spring Boot, Hibernate (JPA), RESTful APIs, GraphQL, Python, FastAPI, Node.js, Express.js, Generative AI Frontend & Web: React.js, Redux, TypeScript, JavaScript, Next.js, HTML5, CSS3, Tailwind CSS, Responsive Design Databases & Caching: DynamoDB, Redis, PostgreSQL, MySQL, MongoDB, SQL Optimization, Indexing Cloud & DevOps: AWS (EKS, Lambda, EC2, S3, API Gateway, CloudFront, Route 53), Kubernetes, Docker, Terraform, CI/CD (Jenkins, GitLab, Helm) Messaging & Streaming: Kafka, Event-Driven Architecture, Idempotent Consumers, Retry & Dead-Letter Queues Observability & Monitoring: Splunk, Prometheus, Grafana, OpenTelemetry, CloudWatch, SLO/SLA Monitoring, Alerting, Performance Tuning Security & API Management: OAuth2, JWT, API Gateway, Role-Based Access Control (RBAC), OpenAPI/Swagger, Input Validation Testing & Quality: JUnit, Mockito, Cypress, Jest, Load Testing, API Automation (Postman/Newman) Collaboration & Agile: Agile (Scrum/Kanban), JIRA, Confluence, Code Reviews, Sprint Planning, Cross-Functional Teamwork PROFESSIONAL EXPERIENCE

JP Morgan Chase & Co. Jan 2025 – Present

Software Engineer Boston, MA, Hybrid

• Developed EVEE Intelligent Q&A, a generative AI-powered tool for call center agents, integrating Spring Boot, Hibernate, and Apache Kafka, processing over 1 million queries monthly, improving response times and agent efficiency.

• Designed and implemented AI-powered knowledge retrieval APIs using Java Spring Boot, NoSQL DynamoDB, and AWS SQS, enabling concurrent query handling for call center agents with latency under 150ms.

• Created a search and retrieval system leveraging ElasticSearch, OpenAPI, and backend indexing pipelines, improving document retrieval efficiency and system responsiveness for financial compliance operations.

• Led AWS cloud infrastructure deployments with Terraform, enabling horizontal auto-scaling to support spikes of 20k concurrent active users with zero downtime.

• Integrated LLM-based AI modules and natural language interfaces, automating complex policy queries across 190+ scenarios, reducing manual reference lookups by 2,500+ agent hours per quarter.

• Configured observability and monitoring using Splunk, Prometheus, and custom dashboards to detect anomalies and reduce incident response time.

• Applied DSA principles, system design patterns, and concurrency frameworks to optimize backend workflows for agent support systems, increasing response throughput and system reliability while ensuring full auditability and compliance. MAQ Software Jan 2021 – Aug 2023

Software Engineer Mumbai, India, Hybrid

• Engineered and maintained a retail e-commerce microservices platform using Java, Spring Boot, Spring Data JPA, integrating Redis caching to reduce average page load from 2.5s to 0.9s.

• Built responsive frontend applications using React, Redux, and TypeScript, implementing product filters, cart workflows, and real-time inventory updates for 90-95k+ daily active users during peak events.

• Orchestrated RESTful and GraphQL APIs for order management, payment processing, and inventory services, incorporating API schema validation and contract testing, reducing integration errors across microservices by 40%.

• Migrated legacy monoliths to Dockerized microservices on Kubernetes, enabling zero-downtime deployments across 5 retail regions and supporting 15k simultaneous transactions per minute.

• Architected and integrated CI/CD pipelines using Jenkins and GitLab, automating builds, tests, and deployments, saving 320 hours annually.

• Executed security and authentication with JWT, OAuth2, and API gateway policies, blocking 6-7k+ unauthorized access attempts monthly.

• Formed unit and integration tests with JUnit, Mockito, Cypress, ensuring production stability and resilience. Optimized fast APIs for promotions, pricing, and checkout workflows, achieving $85k annual infrastructure cost savings, while improving query response times from 800ms 220ms.

• Leveraged AWS Lambda and async event-driven patterns for inventory and pricing updates, enabling real-time event processing across microservices and reducing data propagation delays from minutes to seconds. ACADEMIC PROJECTS

Scalable Cloud Web App GCP, Terraform, Packer, CI/CD, Node.js

• Provisioned GCP infrastructure with Terraform (VPC/subnets, firewall rules, Cloud SQL via private networking + KMS encryption, HTTPS global load balancer + Cloud DNS) and deployed a Node.js webapp on a regional managed instance group with autoscaling + health checks.

• Programmed CI/CD with GitHub Actions + Packer to create VM images, create new instance templates, and run rolling updates on the MIG, and implemented event-driven email verification using Pub/Sub and Cloud Function with expiring tokens. AI-Powered Code Review Assistant GraphQL, React, Jest, Cypress

• Devised a web-based AI code review tool with GraphQL APIs and React frontend, analyzing 50+ code files in real-time during academic testing.

• Implemented unit, integration, and end-to-end tests with Jest and Cypress, achieving 100% test coverage for critical API and frontend workflows. Multi-Tenant SaaS Subscription Management Platform Java 17, Spring Boot, Redis, GraphQL, AWS Lambda, CI/CD, Docker, Kubernetes

• Formulated a multi-tenant subscription platform with GraphQL APIs, Redis caching, and Lambda async workflows, capable of simulating 200 active tenants with real-time subscription updates.

• Established monitoring dashboards, API contract tests, and CI/CD automation, ensuring all simulated tenant operations executed without failures in multi-region deployment tests.

EDUCATION

Master of Science in Computer Software Engineering Sep 2023 – May 2025 Northeastern University Boston, MA

Bachelor of Technology in Information and Communication Technology Sep 2018 – May 2022 Dhirubhai Ambani Institute of Information and Communication Technology Gandhinagar, India

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