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SU

Siddheya Uttarwar

Open to work1 years experience

DevOps Engineer

Pune, MHTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

DevOps Engineer

GitHub

Standing Rank

Rank Not Available

Developer Badges

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Skills & Technologies

27 skills
awsec2vpciams3efscloudwatchcloudtrailgrafanaprometheusfluent bitdockerkubernetesterraformjenkinsbitbucketgithubbashyamlpythonsonarqubelinuxubuntumysqljiraagilescrum

GitHub Activity Evidence

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Work Experience

DevOps Engineer

Indira Group of Institutes

Jan 2025 - Present Pune
  • Designed and implemented Grafana dashboards (6+) for operational insights across system metrics; configured alerting rules for proactive issue detection, sustaining 99.5%+ service availability across 3 environments.
  • Built and maintained CI/CD pipelines (Jenkins + Bitbucket) and configuration management systems; reduced manual deployment effort by ~40% and enabled multiple reliable releases per week across Kubernetes clusters (~25-30 pods).
  • Developed automated runbooks for operational tasks (pod restarts, log rotation, health checks) using Bash scripting, cutting MTTR by ~25% and eliminating repetitive manual operations.
  • Provisioned AWS infrastructure (EC2, VPC, IAM, S3, EFS, CloudWatch) with Terraform; reduced environment setup from hours to minutes across 8-10 EC2 instances.
  • Documented and reviewed incidents and resolutions, sharing knowledge with the team; resolved support escalation issues and communicated status to developers and stakeholders within Agile workflows.

Projects

Centralized Observability Platform

PrometheusGrafanaFluent BitKubernetes
  • Deployed Prometheus + Grafana on Kubernetes with 8+ dashboards (CPU, memory, pod health, latency); configured Fluent Bit as a DaemonSet for unified log-metrics correlation, cutting incident investigation time by ~40%.

CI/CD Pipeline with Automated Runbooks

JenkinsKubernetesGroovyGitHub
  • Built Jenkins pipeline (SonarQube, Docker build, Kubernetes rolling deploy) with Bash runbook library and auto- rollback; reduced release cycle by ~50% and eliminated ~6 hrs/week of manual ops.

AWS Infrastructure Automation with Terraform

TerraformAWSCloudWatchAuto Scaling
  • Authored modular Terraform configs provisioning VPC, EC2 Auto Scaling Groups, ALB, and IAM least-privilege roles; integrated CloudWatch alarms for auto-scaling with S3+DynamoDB remote state management.

Leaderboard Standings

Leaderboard Position Pending

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Assessment Highlights

Assessments Not Completed

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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

AWS DevOps Training Program

AWS DevOps Training Program — Velocity Institute, 2024

About Details

Professional Bio

SRE / DevOps Engineer with 1+ year of experience designing CI/CD pipelines, monitoring health of deployments, and developing automated runbooks on AWS and Kubernetes. Skilled in Grafana dashboards, Terraform IaC, and resolving support escalation issues within cross-functional Agile teams.

B.Tech

Savitribai Phule Pune University ( - 2024)

Polytechnic Diploma

MSBTE, Chandrapur ( - 2021)

Languages: English, Hindi