Rishabh Das

Software Engineer

India3 yrs 11 mos experience

Most Likely To Switch

Key Highlights

Reduced release cycles and improved uptime at Intel.
Developed automation projects saving 14 weeks turnaround time.
Pivoting towards MLOps and Infrastructure Engineering roles.

Stackforce AI infers this person is a Full-Stack Engineer with strong DevOps and Infrastructure expertise in SaaS.

Contact

rishabh.das@intel.com LinkedIn

Skills

Core Skills

PythonKubernetesDevopsAzureReact.jsFull-stack DevelopmentNode.js

Other Skills

AnsibleApollo GraphQLAzure DevOpsD3Data AnalysisDockerElasticsearchFastAPIFlaskGitHub ActionsGrafanaJavaScriptJenkinsKibanaMachine Learning

About

Software Engineer with 3+ years of experience spanning DevOps, Site Reliability, and Full Stack development. Skilled in building scalable infrastructure (AWS, Kubernetes, Terraform, CI/CD pipelines) and delivering applications using Python, React.js, Node.js, and SQL/NoSQL databases. At Intel (California) and a large US tech company, I drove automation, reliability, and deployment at scale—reducing release cycles, improving uptime, and enabling faster product delivery. Alongside infrastructure, I developed internal tools and monitoring dashboards that blended DevOps efficiency with full stack engineering. Now, I am pivoting towards Applied Full Stack + MLOps/Infrastructure Engineering roles, leveraging both my backend and cloud automation expertise to build end-to-end solutions that are resilient, performant, and user-focused. Let’s connect if you’re interested in cloud technology, infrastructure automation, or building resilient, high-performance engineering teams!

Experience

Intel corporation

Software Engineer 2

Jan 2023 – Present · 3 yrs 2 mos · Santa Clara, California, United States · On-site

Built and deployed a FastAPI backend with multiple API integrations, implementing Prometheus monitoring and Grafana dashboards with custom alerting rules, which improved system reliability, reduced MTTR by 40%, and provided real-time visibility into API performance.
Developed a scalable alerting and visualization framework using Elastic and Kibana, optimizing Jenkins CI log rotation and capacity planning to enhance reliability while saving $60,000/year in storage costs.
Developed automation projects improving development efficiency, completing 25+ workflows and saving 14 weeks turnaround time.
Automated backup of critical logs by designing a utility to sync Elasticsearch and MongoDB, strengthening disaster recovery and ensuring zero data loss during outages.
Designed and deployed CI/CD infrastructure using Jenkins and Kubernetes for PyTest automation on distributed HPC clusters, boosting test capacity by 1000x and cutting cycle time by 50%
Technologies used: Python, Ruby, Prometheus, Grafana, Elasticsearch, MongoDB, Jira,
GitHub, Jenkins, VS Code, HPC, Kubernetes, Docker, Singularity, REST API, Perl, GitHub
Actions, Terraform

PythonPrometheusGrafanaElasticsearchMongoDBJenkins+4

Resmed

Software Development Engineer - DevOps

May 2022 – Aug 2022 · 3 mos · Peachtree Corners, Georgia, United States

Utilize Azure DevOps to create pipelines that convert current deployment scripts into a one-click deployment process.
Write shell scripts to manage service status and deploy the artifacts.
Technology Leveraged: Ansible, Terraform, Microsoft Azure DevOps, Windows server OS, Windows services

Azure DevOpsAnsibleTerraformDevOpsAzure

Tessact

Software Engineer

Feb 2021 – Aug 2021 · 6 mos · Mumbai, Maharashtra, India

Architectured frontend platform making use of webpack, babel, and CI/CD builds including GitHub actions, sentry, AWS S3
Worked on the frontend components of an Analytics Dashboard used in Media production businesses utilizing React.JS, Redux, and D3.
Worked on structuring in-house adobe premiere plugin using Flexbox CSS and Figma.
Proposed CI/CD build pipeline for streamlining release and versioning for the frontend team
UI snapshot testing using Percy and Jest

React.jsReduxD3WebpackGitHub ActionsFull-Stack Development