Kanak Agrawal — Software Engineer

I’m a Software Development Engineer (SDE-2) at Oracle with ~3 years of experience building scalable backend and distributed systems used in production. I graduated in 2023 from NIT Allahabad (MNNIT) with a B.Tech and have worked across enterprise and product-driven teams including Goldman Sachs, Fastenal, Bytelearn, and LTIMindtree. I specialize in Java-based backend development, designing microservices and REST APIs that are reliable, performant, and easy to scale. My work spans systems that handle real-world complexity—data consistency, service-to-service communication, observability, security, and cloud-native deployments. At Oracle, I work on production-grade healthcare and platform APIs, including FHIR-based integrations and distributed services, where I’ve contributed to: 60% reduction in manual processing through automated validation and error handling 40% increase in workflow automation in clinical document exchange 99.9% production uptime with strong testing, monitoring, and release practices What I work on Backend Engineering: Java, Spring Boot, Micronaut, RESTful APIs, Microservices, OOP, DSA Distributed Systems: Kafka, RabbitMQ, Redis, async processing, fault tolerance Databases: MySQL, PostgreSQL, MongoDB, DynamoDB; JPA, Hibernate, JDBC Cloud & DevOps: AWS, Azure, Docker, Kubernetes, CI/CD (Jenkins, GitLab) Observability & Reliability: Prometheus, Grafana, logging, performance optimization Testing & Quality: JUnit, Mockito, test automation, coverage enforcement I care deeply about clean design, SOLID principles, and long-term maintainability, and I enjoy building systems that other engineers can confidently own and extend. I’m particularly interested in backend, distributed systems, platform engineering, and cloud-native roles, where scale, correctness, and reliability matter more than just shipping features. 📩 Open to conversations around backend, platform, and distributed systems roles. 📌 Tech stack highlights: Java • Microservices • Distributed Systems • Cloud (AWS/Azure) • Kafka • Docker • Kubernetes • REST APIs

Stackforce AI infers this person is a Backend Engineer specializing in Healthcare and Cloud-native solutions.

Location: Bengaluru, Karnataka, India

Experience: 2 yrs 9 mos

Skills

Java
Microservices
Devops
Cloud

Career Highlights

Achieved 99.9% production uptime in healthcare APIs.
Reduced manual processing by 60% through automation.
Led migration to microservices, improving scalability by 30%.

Work Experience

Salesforce

Member of Technical Staff (2 mos)

Oracle

Software Development Engineer II (SDE-2) | Backend, Healthcare Platforms (8 mos)

Fastenal

Software Development Engineer 1 | Java Backend & Microservices (1 yr 11 mos)

Software Engineer Intern | DevOps & Cloud Infrastructure (4 mos)

Education

Bachelor of Technology at Motilal Nehru National Institute Of Technology

Kanak Agrawal

Software Engineer

Bengaluru, Karnataka, India2 yrs 9 mos experience

Key Highlights

Achieved 99.9% production uptime in healthcare APIs.
Reduced manual processing by 60% through automation.
Led migration to microservices, improving scalability by 30%.

Stackforce AI infers this person is a Backend Engineer specializing in Healthcare and Cloud-native solutions.

Contact

Skills

Core Skills

JavaMicroservicesDevopsCloud

Other Skills

MicronautREST APIsFHIRX12 EDIJaCoCoJUnitCI/CDJava 11Spring BootDockerKubernetesHibernateSQLAWSJenkins

About

Experience

2 yrs 9 mos

Total Experience

1 yr 3 mos

Average Tenure

2 mos

Current Experience

Salesforce

Member of Technical Staff

Mar 2026 – Present · 2 mos · Hyderabad · Hybrid

Oracle

Software Development Engineer II (SDE-2) | Backend, Healthcare Platforms

Jun 2025 – Feb 2026 · 8 mos · Bengaluru, Karnataka, India · Remote

Tech stack: Java, Micronaut, REST APIs, FHIR, X12 EDI, Microservices, JaCoCo, JUnit, CI/CD, Cloud
Engineered FHIR-to-EDI integrations by converting FHIR Bundle resources into X12 EDI (275 & 278) formats; implemented 50+ validation rules and structured error reporting, reducing manual review effort by 60%.
Enhanced Prior Authorization workflows by extending Da Vinci DTR (Documentation Templates & Rules) and CRD (Clinical Decision Support) components, increasing clinical document automation by 40%.
Designed and built PAS (Prior Authorization Support) APIs on the PayerHub platform using Micronaut, with unit, functional, and canary deployments; enforced quality gates via JaCoCo, achieving 85%+ test coverage and 99.9% production uptime.
Improved platform security and reliability by remediating vulnerabilities across 12+ microservices in Nexus-managed dependencies, reducing open vulnerabilities by 90%.

JavaMicronautREST APIsFHIRX12 EDIMicroservices+4

Fastenal

2 roles

Software Development Engineer 1 | Java Backend & Microservices

Jul 2023 – Jun 2025 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

Tech stack: Java 11, Spring Boot, Microservices, Docker, Kubernetes, Hibernate, SQL
Revamped a legacy checkout system by integrating a new Java-based backend API, reducing transaction latency by 25% and increasing conversion rates by 15%.
Led the migration from monolith to microservices architecture using Spring Boot, improving system scalability and performance by 30%.
Refactored critical backend modules using Java 11 and reactive programming principles, improving code maintainability by 30%.
Directed adoption of containerized deployments with Docker and Kubernetes, reducing deployment time by 50% and deployment-related incidents by 70%.
Optimized Hibernate-based database queries in the shopping cart system, reducing page load times by 35%.

Java 11Spring BootMicroservicesDockerKubernetesHibernate+2

Software Engineer Intern | DevOps & Cloud Infrastructure

Jan 2023 – May 2023 · 4 mos · Bengaluru, Karnataka, India · On-site

Tech stack: AWS, Jenkins, Docker, Kubernetes, Terraform, Linux, Prometheus, Grafana
Built end-to-end CI/CD pipelines using Jenkins, reducing deployment effort and release time by 40%.
Automated infrastructure provisioning using Terraform (IaC) for AWS resources, significantly reducing manual provisioning time and improving scalability.
Deployed containerized services using Docker and Kubernetes, focusing on high availability and auto-scaling.
Implemented centralized monitoring and alerting using Prometheus, Grafana, LogicMonitor, and PagerDuty, maintaining 99.9% service uptime.
Provisioned and managed Red Hat Enterprise Linux (RHEL) infrastructure using Infrastructure as Code practices

AWSJenkinsDockerKubernetesTerraformLinux+4