Senior Full Stack Engineer with Cloud & Microservices

Sanjita Thapa Magar

*****************@*****.*** 404-***-**** https://www.linkedin.com/in/sanjita-thapa-magar-131997300 Full Stack Engineer with hands-on experience in developing Java, Go, and Python-based microservices, building responsive UIs with Angular/TypeScript, and utilizing AWS services like S3, SQS, and Lambda to deliver cloud-native web applications to support migration, modernization, and R&D-driven product development.

PROFESSIONAL SUMMARY:

• Senior Software Engineer with 7+ years of hands-on experience building and supporting Java, Python, JavaScript and Angular applications used in regulated and high traffic environments.

• Strong background designing backend services using Java 8–21, Spring Boot, and Hibernate, with ownership of API behavior and data persistence.

• Built and maintained REST APIs that support frontend applications, automation systems, and downstream service integrations.

• Implemented event driven processing using Apache Kafka and AWS SQS to handle asynchronous workflows and system decoupling.

• Developed frontend features using Angular, TypeScript, RxJS, and NgRx, working closely with backend services rather than isolated UI work.

• Deployed and operated applications on AWS, working directly with EC2, S3, Lambda, ECS, and DynamoDB.

• Used Docker and Kubernetes to package services, manage deployments, and support environment specific configurations.

• Supported production systems by troubleshooting API, Kafka, and database issues, including on call and Tier 2 support responsibilities.

• Integrated AI and machine learning inference services into applications by handling data preparation, service orchestration, and result persistence.

• Worked in Agile teams with direct involvement in sprint planning, code reviews, automated testing using JUnit and Selenium, and controlled releases.

TECHNICAL SKILLS:

Programming Languages: Java (8–21), C/C++ (CRUD, multithreading, STL), Python, TypeScript, JavaScript, Shell Scripting

Backend Frameworks & Technologies: Spring Boot, Spring MVC, Spring WebFlux, Spring Batch, Hibernate, JPA, RESTful APIs, gRPC, GraphQL, WebSockets, Microservices, Maven, Gradle, JSON, XML

Frontend Technologies: Angular (10, 14, 17), React.js, HTML, CSS, Bootstrap, Material UI, RxJS, NgRx, SPA, AJAX

Cloud & DevOps: AWS, Azure, Kubernetes, Docker, Terraform, Jenkins,AWS CDK, Bitbucket Pipelines

AI, Observability & Automation: OpenTelemetry, Datadog, Prometheus, Grafana, Splunk, ELK Stack, AI-driven monitoring, predictive scaling, Chaos Engineering

(Gremlin, Chaos Monkey), automated CI/CD, Micrometer AI & Machine Learning: AWS SageMaker, TensorFlow, OpenAI APIs, Scikit-learn, Generative AI (LLMs), Predictive Analytics, Data Preprocessing, AI-driven automation Messaging & Streaming: Apache Kafka, RabbitMQ, Redis Streams, AWS Kinesis, ActiveMQ, Apache Camel, Pulsar, NATS, JMS

APIs & Security: JWT, OAuth2, OIDC, SAML, API Gateway, IAM, mTLS, WAF, SSL/TLS Databases: PostgreSQL, MySQL, Oracle, MongoDB, DynamoDB, Cassandra, Redis, CockroachDB, DB2, Neo4j, PL/SQL

Testing & QA Tools: JUnit, Mockito, Test Containers, Selenium, Postman, Cucumber, Cypress, JMeter, SOAP, TDD, BDD, SonarQube

Version Control & Collaboration: GitHub, Bitbucket, JIRA Professional Summary

Software Engineer Sr – AI Solutions August 2023 to Present

Labcorp Burlington, NC

• Migrated 8+ Spring Boot services from Java 17 to Java 21 with 0 rollback incidents, confirmed through release logs after dependency upgrades and regression validation.

• Built 12+ backend services in Java 21, Spring Boot, and Hibernate, improving API response times by 25% based on APM metrics through query and service level optimizations.

• Delivered 15+ secure REST APIs using JSON, reducing integration defects by 30% measured in QA results by enforcing validation, versioning, and consistent API contracts.

• Implemented event driven processing with Apache Kafka, increasing throughput by 40% measured through consumer lag and processing rate after partition tuning and idempotent consumer design.

• Managed 20+ services using Docker and Kubernetes, maintaining 99.9% availability based on uptime monitoring by applying readiness probes, autoscaling, and rollout controls.

• Integrated services with AWS EC2, S3, Lambda, and ECS, cutting environment setup time by 50% measured by deployment lead time through repeatable configuration and automation.

• Provisioned AWS infrastructure using Terraform, reducing configuration drift as measured by fewer environment mismatches by codifying resources and standardizing module reuse.

• Built operational interfaces in Angular 17, TypeScript, HTML, and CSS, improving triage speed by 35% measured by incident response time through dashboard and workflow enhancements.

• Optimized MySQL and PostgreSQL schemas, reducing query latency by 20% measured via slow query logs by improving indexing strategy and rewriting high-cost queries.

• Strengthened persistence using Hibernate ORM, maintaining transactional consistency measured by reconciliation checks through enforced boundaries and integrity constraints.

• Integrated AI/LLM inference services into backend workflows, reducing turnaround time measured by end- to-end processing metrics through orchestration, normalization, and failure handling.

• Delivered GenAI features for lab workflows, reducing manual review steps measured by cycle time by surfacing model outputs in REST APIs and Angular dashboards with audit logging.

• Supported MLOps processes for model lifecycle, lowering production defects measured by incident counts by enabling model versioning, rollback paths, and inference traceability.

• Created Python utilities for AI and data operations, reducing troubleshooting time measured by time to isolate failures through log parsing, dataset validation, and Kafka message inspection.

• Improved delivery speed through CI/CD automation with Jenkins and Git, reducing pipeline time from 2 hours to 30 minutes measured by build logs by parallelizing stages and adding automated checks.

• Maintained HIPAA compliance and aligned with CLIA and 21 CFR Part 11, with 0 compliance findings tied to releases as measured by audit outcomes through access controls, secure handling, and validated documentation.

Java Software Engineer March 2020 to July 2023

Wayfair Boston, MA

• Migrated backend applications from Java 8 to Java 11, updating APIs and improving memory management and runtime behavior.

• Developed backend services using Java, Spring Boot, and Hibernate JPA to support data intensive application workflows.

• Designed and implemented RESTful APIs to integrate internal services with external platforms and downstream systems.

• Built frontend applications using Angular 14, TypeScript, HTML, and CSS with component-based architecture.

• Implemented state management and reactive data flows using RxJS and Angular standalone components.

• Secured backend and frontend applications using JWT and LDAP based authentication and authorization mechanisms.

• Developed C++ services to manage CRUD operations for inventory and recommendation data.

• Integrated C++ services with Java microservices using REST APIs for cross language interoperability.

• Collaborated with data science teams to integrate machine learning inference endpoints using AWS SageMaker and AWS Lambda.

• Built hybrid processing pipelines using Java, Python, and C++ to support data transformation and recommendation updates.

• Implemented concurrency and parallel processing using ExecutorService, CompletableFuture, and Java streams.

• Developed cloud-based applications using AWS EC2, S3, Lambda, and DynamoDB for backend processing and storage.

• Built and maintained CI/CD pipelines using Jenkins and Buildkite for automated builds and deployments.

• Integrated asynchronous messaging using Apache Kafka and AWS SQS to decouple services and support event driven workflows.

• Monitored application behavior using Datadog, analyzing logs, metrics, and traces to support production stability.

Java Developer January 2018 to February 2020

Chubb Whitehouse Station, NJ

• Developed frontend applications using Angular, HTML, CSS, and TypeScript to support insurance policy and claims workflows.

• Built backend services using Java 8, Spring Boot, and Spring MVC to handle business logic and data processing.

• Designed and implemented REST APIs to integrate frontend applications with backend services.

• Implemented data persistence using Hibernate JPA with SQL Server and MongoDB.

• Secured applications using Spring Security, JWT, and OAuth2 for authentication and authorization.

• Integrated Apache Kafka for event-based messaging to support asynchronous processing across services.

• Containerized applications using Docker and supported deployments across development and test environments.

• Built and maintained CI/CD pipelines using Jenkins and SonarQube for automated builds and quality checks.

• Developed and executed automated test cases using JUnit and Selenium to validate backend services and UI workflows.

• Worked within Agile teams, participating in sprint planning, daily stand ups, and retrospectives. Education:

Master’s in computer science, University of Bridgeport, Bridgeport, Connecticut. CERTIFICATIONS:

• Advanced Java Programming Certification – Oracle (2024)

• AWS Certified Developer – Associate – Amazon Web Services (2024)

• AI Foundations for Everyone – IBM Skills Network (2023)

• Introduction to Machine Learning – Coursera (Stanford Online, 2023)

• Git & Version Control Professional Certificate – Atlassian (2022)

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