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DevOps Engineer - Jenkins To Harness Migration

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Onsite

DevOps Engineer - Jenkins To Harness Migration

Sigmoid Analytics

DevOps Engineer - Jenkins To Harness Migration

Skills

Big DataDockerPythonData ScienceCassandraKafkaJenkinsAIAWSElasticsearchAnsibleGitHubLinuxKubernetesTalent AcquisitionHadoopAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


Job Summary

DevOps Engineer About the Role

We are looking for an experienced DevOps Engineer to join our fast-paced engineering team.

The ideal candidate will bring strong hands-on expertise in Linux systems administration, scripting, and CI/CD tooling, with a critical focus on migrating our build and release pipelines from Jenkins to Harness. This is a high-impact role for someone who thrives in a start-up environment and enjoys collaborating across engineering, data science, and product teams.

Key Skill Priority

  • Jenkins to Harness Migration

Must-Have Qualifications

  • 4-7 years of relevant work experience; a degree in Computer Science or a related technical discipline is required.
  • Proven track record of building and shipping large-scale engineering products, and/or working knowledge of cloud infrastructure such as Azure or AWS (preferred).
  • Experience with Shell, Python, or other scripting languages.
  • Experience managing Linux systems and working with build and release tools like Jenkins.
  • Effective communication skills, both written and verbal.
  • Ability to collaborate with a diverse set of stakeholders, including engineers, data scientists, and product managers.
  • Comfort operating in a fast-paced start-up environment.

Good to Have Big Data & Platform Engineering

  • Support experience in the Big Data domain.
  • Experience architecting, implementing, and maintaining Big Data solutions.
  • Experience with the Hadoop ecosystem, including:
    • HDFS
    • MapReduce
    • Oozie
    • Hive
    • Impala
    • Spark
    • Kerberos
    • Kafka

Containerization & Infrastructure

  • Experience with container technologies such as Docker and Kubernetes.
  • Experience with configuration management systems.

AI-Assisted Development Tools

  • Experience with AI-assisted ("vibe coding") tools such as:
    • Cursor
    • Windsurf
    • Claude
    • GitHub Copilot

Key Skills / Keywords

  • Linux
  • AWS
  • Build & Release Tools
  • Scripting (Shell & Python)
  • Docker
  • Kubernetes
  • Configuration Management
  • Databases
  • Hadoop
  • ELK (Elasticsearch, Logstash, Kibana)
  • Big Data Systems (InfluxDB, Elasticsearch, Cassandra)
  • Ansible
  • Chef
  • Puppet

Note

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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