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Umanist NA
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DevOps Engineer

DevOps Engineer

Umanist NA

7 years

0 Lacs

Bengaluru Karnataka India

Posted:1 day ago| Platform:

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Skills Required

devops pipeline development management automation linux scripting drive design jenkins git tooling stability splunk support docker kubernetes networking python terraform containerization orchestration aws azure gcp troubleshooting communication collaboration learning data etl engineering

Work Mode

On-site

Job Type

Full Time

Job Description

27608

Job Title:

(DevOps Engineer)

Location: Bangalore, Mumbai, Navi MumbaiExperience Required: 5 – 7 YearsNotice Period: Immediate to 30 days

Role Summary

Seeking a skilled

DevOps Engineer

to lead the full DevOps lifecycle, focusing on CI/CD pipeline development, infrastructure management, and automation. The ideal candidate will bring deep expertise in Linux systems, scripting, observability, and modern DevOps methodologies, while collaborating with cross-functional and global teams to drive delivery and operational excellence.

Key Responsibilities

Design, implement, and maintain CI/CD pipelines using tools like Jenkins and Git.
Onboard and manage infrastructure for a large-scale platform.
Build and maintain automation and DevOps tooling to reduce manual tasks.
Ensure system stability and enforce infrastructure hygiene and standards.
Implement observability and telemetry solutions using tools like Splunk, Prometheus, Loki, and Grafana.
Support hybrid infrastructure (cloud and on-prem).
Manage deployments using Docker and Kubernetes.
Collaborate with global stakeholders and technical teams to ensure seamless delivery and support.

Must-Have Skills

Strong proficiency in Linux, OS fundamentals, and networking.
Advanced scripting skills in Python and Bash.
Hands-on experience with DevOps tools – Jenkins, Git, Autosys, Terraform, etc.
Knowledge of observability tools – Splunk, Prometheus, Loki, Grafana.
Familiarity with containerization and orchestration tools – Docker, Kubernetes.
Experience managing infrastructure across cloud platforms – AWS, Azure, or GCP.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and collaboration abilities.
Self-driven with a strong learning mindset.

Nice To Have

Exposure to data domains, ETL workflows, or data engineering concepts.

Skills: devops,infrastructure,skills,automation,ci,cd

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DevOps Engineer