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Vaishnavi Nazare

@vaishnavinazare

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DevOps-focused software engineer driving scalable, secure cloud infrastructure and automation.

India

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What I'm looking for

I am seeking a DevOps/Cloud role where I can build scalable, secure infrastructure, drive automation, reduce operational overhead, and collaborate with engineering teams to improve reliability and delivery velocity.

I am a DevOps-focused software engineer with hands-on experience building scalable, highly available cloud infrastructure on GCP and AWS, automating CI/CD pipelines, and managing Kubernetes-based platforms. At IDFY I designed and maintained dozens of cross-platform setups, built automation tools that reduced developer overhead by 60%, and optimized deployment strategies to cut CD time by 60%.

My work emphasizes reliability, security, and cost optimization — from implementing Gateway API to reduce load-balancer costs to integrating observability stacks that reduced debugging time by 40%. I hold certifications in AWS Solutions Architecture and Terraform, and I bring strong scripting, IaC, and collaboration skills to help teams ship faster with fewer incidents.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer (DevOps)

Current

IDFY

Jul 2024 - Present (1 year 6 months)

Ensured high availability, scalability, and security across multi-environment cloud infrastructure; designed and maintained 30 cross-platform setups and developed automation tools that reduced developer overhead by 60%, cutting production downtime by 30%.

GCP Kubernetes Terraform Prometheus Grafana Python

Software Engineer Intern

IDFY

Jan 2024 - Jun 2024 (5 months)

Automated deployment pipelines, monitoring, and cloud provisioning to reduce manual intervention by 80% and implemented Gateway API replacing Ingress to achieve up to 60% cost reduction by eliminating network load balancers.

Kubernetes Gateway GCP Terraform BASH Docker Monitoring

Education

Degrees, certifications, and relevant coursework

Savitribai Phule Pune University

Bachelor of Engineering, Artificial Intelligence and Data Science

Grade: 9.58 CGPA

Completed a Bachelor of Engineering in Artificial Intelligence and Data Science with a 9.58 CGPA; coursework included DevOps, Cloud Computing, and Data Science.