Aman Ashish
Open to work2 years experienceDevOps Engineer
DevOps Engineer with experience in cloud-native infrastructure, CI/CD pipelines, and AWS.
Standing Rank
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Skills & Technologies
17 skillsGitHub Activity Evidence
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Work Experience
DevOps Engineer
Rawcubes India Pvt Ltd
- Architected microservices deployment infrastructure on Amazon ECS containerizing services with custom Docker images, orchestrating multi-service workloads, integrating SonarQube quality gates, and building CI/CD pipelines per microservice enabling scalable, independent deployments across all environments.
- Designed and automated multi-stage CI/CD pipelines using GitHub Actions for backend services (Elastic Beanstalk) and React frontend (CloudFront) with dynamic environment selection (Test/UAT/Prod), SonarQube analysis, cache invalidation, automated regression tests, and runtime variable management reducing manual release effort by 98%.
- Automated AWS Lambda deployments by building GitHub Actions pipelines that package functions as Docker images, push to ECR, and deploy across multiple developer codebases eliminating manual release steps and reducing deployment overhead by 90%.
- Built a GitHub Actions pipeline for an AWS Batch data processing workload building a custom Docker image on every push, publishing it to ECR, and submitting the Batch job against the updated image ensuring every production run executes against tested, version-controlled code with zero manual steps.
- Developed centralised Grafana dashboards with monitoring and alerting via Prometheus and AWS CloudWatch covering ECS microservices and Elastic Beanstalk environments providing real-time visibility into application performance and error trends improving issue detection efficiency by 40%.
- Ensured compliance and security standards across AWS environments through vulnerability remediation and process controls; collaborated with the CISO to achieve SOC 2 Type I & II certification directly aligning delivery processes with organisational quality and compliance requirements.
Projects
AI-Powered ML Model Deployment & Auto-Retraining Pipeline
- Architected and automated a scalable MLOps pipeline on AWS SageMaker using Python for model training and deployment; implemented event-driven retraining via AWS Lambda and EventBridge, integrated monitoring and automated workflows to improve reliability, reduce manual intervention, and support production-scale operations.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
SOC 2 Type I & II Certification
Collaborated with the CISO to achieve SOC 2 Type I & II certification.
Data Science Professional Certification
Data Science Professional Certification - OdinSchool
Python Certification
Python - HackerRank
SQL Certification
SQL - HackerRank
Problem Solving Certification
Problem Solving - HackerRank
About Details
Professional Bio
DevOps Engineer with hands-on experience designing and operating cloud-native infrastructure, automating CI/CD pipelines, and managing containerized workloads on AWS. Skilled in GitHub Actions, Jenkins, Docker, Kubernetes, Terraform, Linux, and Python.
Bachelor of Engineering (B.E)
M.S. Ramaiah Institute of Technology (2019 - 2023)