SOFTWARE RESEARCH ENGINEER
Distributed Systems • Platform Engineering • CI/CD • Kubernetes
Platform engineer focused on resilient infrastructure, automation-first workflows, and simulation-driven systems that scale cleanly under real engineering pressure.
Software Research Engineer
Engineer building distributed infrastructure, CI/CD platforms, and containerized systems for autonomous and cloud-native workloads. Focused on reliability, deployment velocity, and operational clarity at scale.
Current Focus
CI/CD Pipelines
15+ Automated delivery systems optimizedConcurrent Workloads
50+ Simulation and execution jobs orchestratedKubernetes Deployments
20+ Microservices deployed across EKS and K8sGitLab Certified
4x Professional certifications earnedSystem Status
Infrastructure Highlights
Academic grounding in application engineering, cloud systems, secure software, and testing disciplines that directly support modern platform and infrastructure work.
Chandigarh University
Completed while working full-time, with study areas spanning application development, cloud computing, software testing, application security, advanced networking, and professional communication.
Dr. PDKV, Akola
Established the analytical and technical foundation that later supported backend development, automation, and infrastructure-focused engineering work.
Career progression across platform engineering, CI/CD automation, and cloud infrastructure, focused on shipping reliable systems with measurable engineering impact.
Software Research Engineer
Leading platform and infrastructure automation for autonomous systems, with a focus on CI/CD workflows, distributed execution environments, edge deployment readiness, and simulation-scale reliability.
DevOps Engineer
Engineered an enterprise-grade CI/CD environment for large-scale drone simulation programs, combining GitLab runners, Docker-based execution, test automation, and log handling for faster validation cycles.
Engineer - Projects
Delivered automation-heavy delivery systems across GitLab, SonarQube, Nexus, Kubernetes, and AWS, reducing release effort, scaling multi-project workflows, and improving reliability for application and platform teams.
Intern
Built early engineering foundations through Java application work, Selenium-driven testing, and hands-on QA feedback loops across training and production-like web environments.
Selected infrastructure and platform engineering builds focused on scalable deployment, automated delivery, and production-grade orchestration.
Shipped a containerized React, Node.js, and MongoDB stack on Amazon EKS with ALB ingress, image delivery through ECR, and production-style Kubernetes orchestration.
Built pipeline infrastructure for 50+ concurrent drone simulation workloads with automated build, execution, and log capture across containerized GitLab runner environments.
Deployed a lightweight game workload on EKS Fargate with Helm-based provisioning, ingress configuration, and managed Kubernetes compute without worker node operations.
Designed a deployment utility that automated database and filesystem release steps through GitLab-driven workflows, cutting rollout time by roughly 90 percent.
Implemented an end-to-end delivery pipeline that combined build automation, SonarQube checks, Docker packaging, and Kubernetes deployment for faster, safer releases.
Platform-focused tools, languages, and infrastructure systems used to build reliable delivery pipelines, cloud platforms, and production-grade engineering workflows.
Platform Systems
Infrastructure layers, orchestration, and delivery foundations for resilient software platforms.
Cluster orchestration
Container packaging
Platform delivery hub
Infrastructure as code
Runtime & Cloud
Compute, networking, and deployment surfaces used to run scalable workloads in production.
Cloud platform
Ingress & routing
Kubernetes releases
Systems operations
Languages
Implementation languages used across automation tooling, backend systems, and delivery workflows.
Backend & utilities
Automation scripting
Ops automation
Data workflows
Observability
Visibility, diagnostics, and quality tools that support reliable delivery and healthy systems.
Metrics collection
Dashboards & insight
Code quality gates
Artifact management
Delivery Pipelines
Release automation, build systems, and engineering workflows that increase deployment velocity.
Pipeline automation
Build lifecycle
Build automation
Pipeline configuration
Industry-recognized credentials across GitLab delivery, CI/CD operations, and full-stack engineering, reinforcing hands-on execution in platform and infrastructure environments.
Udemy
Java By Kiran
Pune, Maharashtra
+91 9922793667
vaibhavgshete@gmail.com