Raghav Goyal

Software Engineer

Deoband, Uttar Pradesh, India2 yrs 4 mos experience

Highly Stable

Key Highlights

Led successful migration for 1000+ users at IBM.
Engineered scalable backend services with high availability.
Developed automation tools that improved efficiency at Amazon.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS and distributed systems.

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Skills

Core Skills

JavaSpring BootDb2RedisAmazon Web Services (aws)Automation

Other Skills

GoKubernetesREST APIsMicroservices ArchitectureMigrationCloud-native systemsUpgrade workflowsElasticsearchCascading Style Sheets (CSS)JavaScriptIBM Db2React.jsObject-Oriented Programming (OOP)GitLinux

About

I’m a Backend Engineer at IBM (India Software Labs), working on cloud-native distributed systems powering Db2 SaaS. My work focuses on building reliable, scalable backend services with strong consistency, high availability, and production-grade resilience. Over the past two years, I’ve led initiatives such as secure platform migrations serving 1000+ enterprise users, Redis-backed distributed state synchronization across multi-pod Kubernetes deployments, and in-place database upgrade workflows with rollback safeguards. I regularly build and optimize RESTful services using Java and Spring Boot, with a strong emphasis on clean architecture, observability, and reliability. Previously, at Amazon, I built internal automation tools and dashboards that streamlined reporting workflows and improved operational efficiency across global teams. I have a strong foundation in data structures, algorithms, and object-oriented design, and I enjoy solving complex backend and system design problems with simple, maintainable solutions. Core Interests: Backend Engineering • Distributed Systems • Microservices • Cloud Infrastructure • System Design

Experience

2 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 yrs 4 mos

Current Experience

Ibm

Software Developer

Jan 2024 – Present · 2 yrs 4 mos · Kochi · Hybrid

At IBM, I work on cloud-native backend systems powering Db2 SaaS, focusing on distributed state management, upgrade orchestration, and high-availability workflows.
Led the end-to-end migration from Db2oc Classic (Version 2) to Db2oc MCSP (Version 3), enabling seamless transition for 1000+ enterprise users with zero data loss.
Spearheaded the Pause/Resume capability for Db2 SaaS, allowing customers to suspend idle compute resources. Implemented Redis-backed distributed state synchronization to ensure consistency across multi-pod Kubernetes deployments.
Delivered an in-place Db2 upgrade workflow (Version 11.5 → 12.x) with compatibility validation and rollback safeguards, enabling reliable version transitions with minimal service disruption.
Engineered scalable RESTful services using Java and Spring Boot; implemented unit and integration testing to ensure production reliability.
Built centralized audit and observability frameworks to improve operational transparency and accelerate incident triage.
Implemented event-driven alerting workflows using SNMP-based notifications for high-availability systems.
Resolved high-severity production incidents and remediated critical security vulnerabilities to strengthen platform resilience.
Tech Stack: Java, Go, Spring Boot, Redis, Kubernetes, REST APIs, Db2, Microservices Architecture

JavaGoSpring BootRedisKubernetesREST APIs+2

Amazon

Software Support Engineer 2

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Productivity Dashboard
Create a productivity dashboard from scratch through which support engineering managers can track their direct productivity, including the number of tickets resolved and types of tickets resolved. Currently, many teams are using this dashboard.
Implement an automatic report generation system that fetches data through Elasticsearch and monitoring portal and sends an auto-generated email to stakeholders. It reduces manual effort and saves approximately 1 hour/day
Got a FTE Offer from amazon

Amazon Web Services (AWS)Automation