Senior Software Engineer Java Spring Microservices Expert

Parichit Karki

Contact No: 469-***-**** Email ID: **************@*****.*** LinkedIn URL

PROFESSIONAL SUMMARY

•Senior Software Engineer with 5 years of experience building scalable and secure applications across healthcare, fintech, and enterprise SaaS platforms.

•Strong expertise in Java (8/11/17/21) and the Spring ecosystem (Spring Boot, Spring MVC, Spring Cloud), designing microservices and RESTful APIs for high-volume, transaction-driven systems.

•Experienced in developing distributed and event-driven architectures using Apache Kafka and resilient service patterns to ensure system reliability and fault tolerance.

•Hands-on experience with relational and NoSQL databases including PostgreSQL, Oracle, SQL Server, Cassandra, and MongoDB, with a focus on performance tuning and data modeling.

•Skilled in implementing secure application designs using OAuth2 and JWT, supporting compliance requirements such as HIPAA and PCI-DSS.

•Proficient in building responsive frontend applications using Angular (12–17), TypeScript, NgRx, and RxJS to deliver intuitive user experiences.

•Practical experience working with cloud-based environments across AWS and Azure, supporting containerized deployments using Docker and Kubernetes along with CI/CD automation.

•Strong understanding of system resiliency, Spring Batch processing, monitoring, and production support in enterprise environments.

•Experience contributing to architectural discussions, optimizing performance, and maintaining production stability in high-availability systems.

•Collaborative team contributor with experience guiding junior developers and working effectively within Agile/Scrum teams.

TECHNICAL SKILLS

•Programming Languages: Java (8/11/17/21), TypeScript, Python, Node.js, SQL

•Backend & Frameworks: Spring Boot, Spring MVC, Spring Cloud, JPA, Hibernate, JAX-RS, Microservices Architecture, RESTful APIs, Spring Security

•Frontend: Angular (12–17), NgRx, RxJS, HTML5, CSS3

•Messaging & Event Streaming: Apache Kafka, IBM MQ, Spring JMS

•Databases: PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, Cassandra, DynamoDB

•Caching: Redis, Oracle Coherence

•Cloud & DevOps AWS (EC2, S3, RDS, Lambda, EKS, SNS, SQS, IAM, Route 53), Azure AKS, Docker, Kubernetes, Terraform, CloudFormation, Jenkins, CI/CD

•Security & Compliance: OAuth 2.0, JWT, PCI-DSS, HIPAA

•Testing & Monitoring: JUnit, Mockito, Selenium, Jasmine, Karma, Cypress, ELK Stack, Splunk, Grafana, Prometheus

•Methodologies & Tools: Agile/Scrum, Jira, Confluence, Git, GitLab

PROFESSIONAL EXPERIENCE

Client: Paycom, USA July 2025 - January 2026

Role: Senior Software Engineer

•Designed and developed scalable RESTful APIs using Java 21, Spring Boot, and Spring MVC, supporting payroll processing, employee lifecycle management, and benefits administration modules.

•Contributed to architectural design discussions for payroll services, focusing on scalability, data integrity, and compliance across distributed microservices.

•Built responsive single-page applications using Angular 16/17, TypeScript, and RxJS, enhancing employee self-service portals and improving user experience.

•Implemented persistence layers using Spring Data JPA and Hibernate with Oracle and PostgreSQL, managing high-volume, compliance-sensitive payroll datasets.

•Optimized complex SQL queries through execution plan analysis and indexing strategies, improving payroll batch processing efficiency.

•Designed event-driven workflows using Apache Kafka, enabling reliable handling of payroll events and notification processes.

•Built and maintained batch jobs using Spring Batch to support payroll cycles and compliance reporting.

•Secured APIs using Spring Security, implementing authentication and role-based access controls for sensitive HR data.

•Developed integration utilities using Node.js and Python to support third-party payroll integrations and automate validation and reconciliation workflows.

•Integrated Redis caching to improve API response times and reduce database load for frequently accessed employee data.

•Applied Java concurrency techniques to optimize large payroll batch processing workloads.

•Automated CI/CD pipelines using Jenkins and Docker, improving deployment consistency and reducing release time by 50%.

•Supported deployment and scaling of backend services within AWS-hosted environments (EC2 and serverless functions) as part of a SaaS infrastructure.

•Implemented centralized logging and monitoring using Log4j and ELK stack, proactively identifying and resolving production issues.

•Participated in production issue triage and root cause analysis to maintain payroll system stability during release cycles.

•Provided technical guidance to junior developers during Agile/Scrum sprints, contributing to code reviews and design discussions.

Environment: Java 21, Spring Boot, Spring MVC, Spring Security, Microservices, Angular 16/17, TypeScript, RxJS, Node.js, Python, Apache Kafka, Spring Batch, JPA, Hibernate, Oracle, PostgreSQL, Redis, AWS (EC2, Lambda), Docker, Jenkins, ELK Stack, JUnit 5, Mockito, Cypress, Agile/Scrum, Jira, Confluence.

Client: Visa Inc., USA September 2023 - July 2025

Role: Full Stack Developer

•Designed and developed scalable microservices using Java 17, Spring Boot, and Spring Cloud, supporting high-volume, low-latency payment transactions with 99.99% system availability.

•Built secure RESTful APIs for authorization, settlement, and transaction monitoring workflows, adhering to PCI-DSS security and data protection standards.

•Integrated Kafka and IBM MQ (Spring JMS) to enable reliable asynchronous communication between distributed payment services.

•Implemented resiliency patterns using Spring Cloud components and circuit breaker mechanisms to improve fault tolerance across services.

•Collaborated with database teams to optimize PostgreSQL and SQL Server queries and indexing strategies for large-scale transactional workloads.

•Contributed to event storage and audit logging solutions using Cassandra and DynamoDB.

•Developed responsive payment dashboards using Angular (12–15), TypeScript, NgRx, and RxJS, improving real-time transaction visibility and user experience.

•Containerized applications using Docker and supported deployments on Kubernetes (EKS) within AWS-hosted environments.

•Worked with core AWS services (EC2, S3, RDS, DynamoDB, SNS, SQS, IAM, Route 53) to support scalable and highly available payment infrastructure.

•Assisted with infrastructure configuration using Terraform and CloudFormation in collaboration with DevOps teams to maintain deployment consistency.

•Improved observability by integrating Log4j with Splunk, configuring dashboards and alerts to reduce production issue resolution time by 35%.

•Supported legacy modules on Oracle WebLogic while contributing to modernization toward containerized architecture.

•Maintained 90%+ test coverage using JUnit, Mockito, Jasmine, Karma, and Cypress, improving release stability and confidence.

•Contributed to CI/CD enhancements in Jenkins, accelerating container-based deployments and reducing build-to-release time by 40%.

•Actively participated in Agile/Scrum ceremonies, ensuring steady and timely delivery of payment platform enhancements.

•Documented APIs using Swagger (OpenAPI 3.0) to streamline integration with internal and partner systems.

Environment: Java 17/8, Spring Boot, Spring Cloud, Microservices, REST APIs, Kafka, IBM MQ, Spring JMS, Angular 12–15, TypeScript, NgRx, RxJS, Hibernate, JPA, PostgreSQL, SQL Server, Cassandra, DynamoDB, Log4j, Splunk, OAuth2, JWT, Docker, Kubernetes (EKS), AWS (EC2, S3, RDS, SNS, SQS, IAM, Route 53), Terraform, CloudFormation, Oracle WebLogic, Jenkins, CI/CD, Swagger (OpenAPI), Agile/Scrum, PCI-DSS.

Client: Cigna Health Care, USA February 2020 - August 2023

Role: Java Developer

•Engineered scalable Java 8/11, Spring Boot, and J2EE MVC applications, improving performance, reliability, and maintainability of enterprise healthcare systems.

•Designed and implemented microservices architecture using Java 11, Spring Boot, and REST APIs, increasing system scalability by 40%.

•Developed RESTful APIs using Spring MVC and supported legacy JAX-RS-based services during platform modernization efforts.

•Implemented Apache Kafka producers and consumers, improving real-time data flow efficiency by 30% and enhancing system availability.

•Utilized Hibernate/JPA for efficient ORM and optimized complex SQL queries across MySQL and DB2, improving data access performance.

•Leveraged Java 8/11 features (Lambda, Streams, Parallel Streams) to enhance backend data processing efficiency and reduce code complexity.

•Designed scalable NoSQL solutions using MongoDB and Cassandra, implementing indexing, replication, and transaction strategies.

•Implemented distributed caching with Oracle Coherence and Redis, reducing database load by 35% and lowering infrastructure costs.

•Applied Java multithreading and concurrency utilities, significantly improving healthcare data processing throughput.

•Secured APIs using OAuth 2.0 and JWT, ensuring protection of sensitive patient data and regulatory compliance.

•Deployed and maintained applications on JBoss Enterprise Server, ensuring stable production performance.

•Practiced Test-Driven Development (TDD) using JUnit and Mockito, reducing production defects and improving code quality.

•Automated regression and functional testing using Selenium WebDriver with Java and TestNG.

•Monitored microservices using Grafana and Prometheus, reducing response time by 35% through JVM and application tuning.

•Supported containerization and deployment of microservices on Azure AKS as part of cloud modernization initiatives within a HIPAA-compliant environment.

•Applied common enterprise design patterns (Factory, DAO, Strategy, MVC) to build modular and maintainable systems.

•Worked in an Agile/Scrum environment, participating in sprint planning, daily stand-ups, backlog grooming, and retrospectives, delivering incremental, HIPAA-compliant enhancements in bi-weekly sprint cycles.

Environment: Java 8/11, Spring Boot, J2EE, REST, JAX-RS, Apache Kafka, Hibernate, JPA, MySQL, DB2, MongoDB, Cassandra, Oracle Coherence, Redis, JBoss, Multithreading, OAuth2, JWT, Selenium, JUnit, Mockito, Git, GitLab, Grafana, Prometheus, Azure AKS, Helm, YAML, HIPAA, Agile/Scrum, Jira.

EDUCATION

Bachelor’s of Science in computer science, North American University

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