DevOps Engineer I | o9 Solutions – Bangalore, Karnataka, India

Join o9 Solutions, a global AI-powered enterprise platform trusted by giants like Google, Walmart, and Starbucks. Be a part of a fast-scaling team building smart, sustainable, and cloud-native infrastructure that drives real business value.

We’re hiring a DevOps Engineer I (Site Reliability Engineer) to deploy, manage, and support our AI-driven Digital Brain SaaS Platform on cloud environments such as AWS, Azure, GCP, and Samsung Cloud. You'll be working with cutting-edge CI/CD, Kubernetes, big data platforms, and infrastructure automation tools.

Key Responsibilities

• Deploy, maintain, and optimize o9’s Digital Brain SaaS environments across multi-cloud platforms
• Monitor application health, ensure high availability and performance
• Build reliable systems and improve uptime, scalability, and automation
• Provide on-call support on a rotational basis
• Collaborate across global teams and time zones for smooth delivery

Requirements

• Bachelor’s in Computer Science, Software Engineering, or equivalent

• 4+ years in a DevOps or SRE role, with cloud-native application deployment

• Certification in Kubernetes administration and one or more cloud platforms (AWS, Azure, GCP)

• Hands-on experience with:

  • CI/CD tools – Jenkins, ArgoCD, Ansible, Terraform
  • Containerization – Docker, Kubernetes
  • Big Data tools – Hadoop, Spark, Kafka, Hive, Impala
  • Scripting – Bash, Shell, PowerShell, or Python
  • Database administration – MS SQL, MongoDB, SSIS
  • Operating Systems – Linux, Windows

Preferred Characteristics

• Strong OS-level debugging and troubleshooting
• Passion for automation, cloud scalability, and DevOps innovation
• Excellent communication and team collaboration skills
• Self-starter who thrives in fast-paced, global, and flat organizational structures

Why Join o9 Solutions?

• Flat, collaborative organization with no corporate politics
• Work with a world-class global engineering team
• Make a real-world impact in enterprise planning and AI innovation
• Work-Life Balance and inclusive culture
• Learn more:

Interview Process

1. Apply and express interest
2. HackerEarth domain-specific assessment
3. 2 rounds of technical interviews
4. 1 managerial discussion
5. Offer & onboarding

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