Anchit Goyal

DevOps Engineer

Bengaluru, Karnataka, India2 yrs 6 mos experience

Key Highlights

Reduced deployment time from hours to under 10 minutes.
Achieved 99.9% uptime for production workloads.
Cut cloud spend by 30% through optimization.

Stackforce AI infers this person is a Cloud Infrastructure Engineer specializing in SaaS solutions.

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Skills

Core Skills

Google Cloud Platform (gcp)Kubernetes

Other Skills

ASP.NETApache KafkaCC++CI/CDCompute EngineData StructuresGitlabGoogle Kubernetes Engine (GKE)HadoopHelmHythosis testingJavaMathplotMicrosoft Office

About

As a GCP Cloud & DevOps Engineer with over 3 years of hands-on experience, I specialize in building scalable, secure, and cost-efficient infrastructure using Google Cloud Platform, Kubernetes (GKE), Terraform, and CI/CD pipelines. I focus on turning complex deployment challenges into streamlined, automated solutions that enhance uptime, observability, and team velocity. My journey into DevOps began when I migrated a legacy monolithic application to Kubernetes on GCP—cutting deployment time from hours to under 10 minutes while reducing cloud spend by 30%. That experience ignited my passion for cloud-native architecture and infrastructure as code. I thrive in environments where reliability, automation, and performance matter. Whether optimizing GKE workloads with auto-scaling, setting up monitoring with Prometheus and Grafana, or reducing manual ops through CI/CD pipelines, I bring a pragmatic, results-driven approach to every project. Let’s connect if you're looking for someone who can improve cloud efficiency, simplify infrastructure, and build resilient systems at scale. I'm open to relocation and always excited to explore opportunities that push the boundaries of DevOps and SRE practices.

Experience

2 yrs 6 mos

Total Experience

9 mos

Average Tenure

Current Experience

Phonepe

GCP Cloud Engineer

Sep 2022 – Mar 2024 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Led the setup, maintenance, and migration of 50+ VM instances across multiple environments, resulting in a 25% improvement in system performance and reduced operational overhead.
Managed and deployed containerized applications using Google Kubernetes Engine (GKE), increasing deployment speed by 40% and ensuring 99.9% uptime for production workloads.

Google Cloud Platform (GCP)KubernetesTerraformCI/CD

Powerschool

GCP Cloud Engineer

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India

Built and deployed containerized microservices on Google Kubernetes Engine (GKE), improving deployment speed by 40% and reducing release-related incidents.
Designed and deployed scalable workloads on GKE using Helm charts, enabling seamless rollouts and improving system reliability across 3 production environments.

Google Cloud Platform (GCP)KubernetesHelm

Deskera

GCP Cloud Engineer

Sep 2021 – Apr 2022 · 7 mos

Applied Kubernetes and GKE best practices to build, configure, and deploy containerized workloads, improving deployment consistency and reducing configuration errors by 30%.
Responded to and resolved critical incidents, achieving 99.9% uptime and reducing mean time to resolution (MTTR) by 35% through proactive monitoring and root cause analysis.

Google Cloud Platform (GCP)Kubernetes

Noodle.ai

Site Reliability Engineer

Jul 2019 – Dec 2019 · 5 mos · Bengaluru, Karnataka, India

Provisioned and optimized 40+ Google Cloud Compute Engine VM instances, reducing startup times by 20% and improving cost-efficiency through rightsizing and automation.
Implemented scalable and secure cloud solutions on Google Cloud, enabling high availability (99.9% uptime) and aligning with industry-standard security best practices.

Google Cloud Platform (GCP)Compute Engine