Nishu Jain

DevOps Engineer

Noida, Uttar Pradesh, India5 yrs 6 mos experience

Key Highlights

Expert in cloud infrastructure deployment and optimization.
Proficient in CI/CD pipeline implementation and management.
Strong track record in maintaining high system availability.

Stackforce AI infers this person is a DevOps Engineer specializing in cloud infrastructure and CI/CD in the SaaS industry.

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Skills

Core Skills

DevopsCloud InfrastructureCi/cdMonitoring

Other Skills

Amazon Web Services (AWS)BashKubernetesGoogle Cloud Platform (GCP)Microsoft AzureJenkinsPrometheusGrafanaELK stackAWSGCPAzurePythonTerraformElastic Stack (ELK)

About

Dynamic and results-driven DevOps Engineer with extensive experience in cloud infrastructure deployment, optimization, and reliability. Proficient in orchestrating end-to-end deployment processes, utilizing Version Control Systems (VCS), implementing CI/CD pipelines, and managing infrastructure on AWS, GCP, and Azure. Skilled in security and access control, monitoring and performance optimization, troubleshooting infrastructure issues, and specialized workloads such as auto-scaling and GPU deployment. A proactive problem-solver with a strong track record of maintaining high system availability and optimizing costs. Demonstrated ability to single-handedly manage complex projects and campaigns, ensuring seamless operations and reliability in high-traffic environments.

Experience

5 yrs 6 mos

Total Experience

2 yrs

Average Tenure

1 yr 6 mos

Current Experience

Paytm

Senior DevOps Engineer

Nov 2024 – Present · 1 yr 6 mos · Noida, Uttar Pradesh, India · On-site

Amazon Web Services (AWS)BashDevOpsCloud Infrastructure

Truefan

DevOps Engineer

Jul 2022 – Nov 2024 · 2 yrs 4 mos · Gurugram, Haryana, India

1.Deployed and managed infrastructure on AWS, GCP, and Azure, ensuring scalable and secure environments.
2.Implemented CI/CD pipelines using Jenkins, enabling automated builds, tests, and deployments.
3. Successfully performed migrations from one AWS account to another, ensuring minimal downtime and seamless transition.
4.Monitored and maintained site reliability and performance using Prometheus and Grafana
5. Employed ELK stack (Elasticsearch, Logstash, Kibana) for centralized logging and monitoring, enhancing visibility and troubleshooting capabilities.

KubernetesAmazon Web Services (AWS)Google Cloud Platform (GCP)Microsoft AzureJenkinsPrometheus+4