Chandan M Bharadwaj
Open to work4 years experienceDevOps Engineer
DevOps Engineer | AWS | Kubernetes | CI/CD & Automation
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
25 skillsWork Experience
Software Engineer II
DigiCoffer Software Pvt Ltd
- Architected and maintained an end-to-end DevOps pipeline on AWS using Jenkins and Ansible, increasing deployment frequency by 40% while ensuring environment parity across development, staging, and production.
- Migrated production release processes from Jenkins and Ansible to AWS SSM Run Command — embedding automated deployment scripts directly on EC2 instances and triggering them via SSM, eliminating the need for SSH access and significantly improving security and operational reliability.
- Managed and optimized AWS infrastructure (EC2, Lightsail, S3, CloudFront, ECS, ElastiCache), improving system reliability and reducing unplanned downtime.
- Conducted an AWS infrastructure cost audit using Cost Explorer and CloudWatch metrics, identifying over-provisioned resources across EC2, Lightsail, and ElastiCache — rightsizing instances, consolidating Lightsail deployments, and clearing redundant snapshots to achieve a ~29% reduction in monthly AWS spend.
- Provisioned and managed AWS networking infrastructure using Terraform — including VPCs, subnets, route tables, internet gateways, and EC2 instances — transitioning manual setups to reproducible infrastructure-as-code.
- Designed and enforced IAM roles and policies following least-privilege principles, strengthening compliance and security posture across all environments.
- Automated infrastructure configuration and application deployments using Ansible playbooks and Bash scripting, reducing manual deployment effort by ~60%.
- Containerized application workloads using Docker, standardizing development environments and eliminating dependency drift across teams.
- Implemented a full observability stack (Prometheus, Grafana, Loki, Promtail) for microservices, providing real-time alerting and significantly reducing mean time to detection (MTTD) for production incidents.
- Administered Linux servers in a cloud environment — performed performance tuning, log analysis, and security hardening.
Graduate Engineer Trainee
Sun Mobility Pvt Ltd
- Worked with Microsoft Azure and Azure DevOps to design and configure CI/CD pipelines using YAML and the visual designer, automating build and release workflows for multiple microservices.
- Created Azure Automation Runbooks to schedule and execute operational tasks, reducing manual intervention and ensuring consistent execution.
- Used Azure Monitor and alerting to proactively detect and respond to infrastructure anomalies.
- Collaborated with cross-functional development teams to implement infrastructure and architectural changes that improved system performance, scalability, and availability.
Projects
Ansible-in-Docker on Amazon ECS
- Designed and deployed an Ansible control node running inside a Docker container on Amazon ECS, enabling scalable, repeatable configuration management without dedicated server overhead.
- Integrated the Ansible container with Jenkins to trigger playbook runs automatically as part of the CI/CD pipeline, reducing deployment lead time significantly.
- Authored reusable Ansible playbooks for application deployment, package management, and environment configuration, cutting deployment errors and enabling one-click rollbacks.
Azure Runbook for Automated Server Metrics Reporting
- Built an Azure Automation Runbook that collected server performance metrics (CPU, memory, disk) and pushed structured reports to a Microsoft Teams channel every three hours.
- Configured alerting thresholds and escalation rules to notify on-call engineers of anomalies in near real-time, improving overall system visibility.
- Eliminated ~4 hours/week of manual reporting effort and provided stakeholders with consistent, audit-ready operational data.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
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
Infrastructure Optimization and Deployment Efficiency
Increased deployment frequency by 40% and achieved a ~29% reduction in monthly AWS spend through infrastructure optimization.
About Details
Professional Bio
DevOps Engineer with 3+ years of experience building, automating, and scaling cloud infrastructure on AWS. Proficient in Kubernetes, Terraform, Docker, and full-stack observability using Prometheus, Grafana, and Loki. Holds an MTech. in Software Engineering from BITS Pilani.
MTech. in Software Engineering in Software Engineering
BITS Pilani (Work Integrated Learning Programmes) (2024 - 2026)
B.E. in Computer Science in Computer Science
Global Academy of Technology, Bengaluru (2018 - 2022)