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Vipan AulakhVA
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Vipan Aulakh

@vipanaulakh

DevOps & Observability engineer specializing in cloud reliability.

India
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What I'm looking for

I seek a hands-on DevOps/observability role where I can own cloud infrastructure, improve reliability, mentor teams, and reduce operational cost while working in a collaborative, growth-oriented environment.

I am a DevOps & Observability Engineer with hands-on experience owning AWS infrastructure, CI/CD pipelines, and full-stack observability systems across startup environments.

I specialize in the LGTM stack (Loki, Grafana, Tempo, Mimir) and OpenTelemetry, focusing on backend instrumentation, log parsing, trace-metric-log correlation, IRM, and alerting design. I have delivered instructor-level Grafana training and upskilled internal teams.

I have led end-to-end incident response, performed CloudWatch log forensics, rotated compromised credentials, migrated secrets to AWS Secrets Manager, enforced IAM least-privilege, and authored secrets governance policies to eliminate future exposure risks.

I design and maintain CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), automate infrastructure with Terraform and CloudFormation, optimize cloud costs, and communicate technical risks and remediation to non-technical stakeholders.

Experience

Work history, roles, and key accomplishments

AI
Current

DevOps & Observability Engineer

Aerin IT

Oct 2024 - Present (1 year 5 months)

Built and maintained full-stack observability pipelines (Grafana, Prometheus, Loki, Tempo, OpenTelemetry) reducing MTTD by ~60%; led incident response for credential exposure, rotated secrets, enforced IAM least-privilege, and authored secrets governance. Implemented CI/CD validation gates and decoupled image deployments to eliminate deployment failures and optimized AWS costs across client enviro

Education

Degrees, certifications, and relevant coursework

BS

BBSBE College Fatehgarh Sahib

Bachelor of Technology, Computer Science Engineering

2020 - 2024

Grade: 7.96 / 10

Completed a Bachelor of Technology in Computer Science Engineering with a focus on cloud engineering and observability, achieving a 7.96/10 CGPA.

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