Required Qualifications
• 12+ Years for Staff/Senior DevOps Engineer. Strong in DevOps, Cloud technologies, IT operations, problem-solving, and technical expertise in architecting and designing for SaaS applications and providing technical mentorship to the team.
• Deep subject matter expertise in multiple DevOps, SRE, AIOps domain, proven track record of mentorship and proven track record of driving and completing organization-wide projects.
• Supporting a global customer-facing SaaS service and working with AWS infrastructure at a global scale.
• Experience in Microsoft SQL Server and similar database systems
• Experience in Windows Server & Linux operating systems
• Robust development background in Python, Ruby or a similar language
• Experience maintaining infrastructure as code (e.g., Terraform, Ansible, Chef, Puppet)
• Solid security background covering areas such as PKI, TLS, WAF, firewalls, endpoint security, and secrets management
• Networking experience including routing, switching, DNS, proxies, load balancers, and micro-segmentation.
• Proficiency in DevOps, Agile, and CI/CD processes. Excellent communication and leadership skills.
• Hands-on experience in building and administering VMs and Containers using tools such as Docker, Nomad, and Kubernetes.
• Ability to work collaboratively across cross-functional teams and geographies.
• Familiarity with logging and monitoring technologies such as Grafana, Splunk, Syslog, Log Insight, etc.




• Experience with AI tools(Claude, Cursor or Copilot etc.), integrating AI, LLMs understanding, AI agents, or intelligent automation into enterprise products, basic familiarity with RAG architectures, vector databases, prompt engineering, and AI observability, understanding of AI security, governance, privacy, and responsible AI practices are desirable. You Will Be Responsible For
• Drive the design and development of major architecture components. Participate in all phases of DevOps/SRE tasks, including requirements, design, coding, testing, debugging, and performance tuning.
• Monitoring and analysing system performance to proactively identify and resolve potential issues.
• Designing, developing, and implementing automation tools and solutions to reduce manual effort and improve system efficiency and reliability, including CI/CD pipelines.
• Collaborating with development teams and other stakeholders to implement reliable and scalable systems and services.
• Designing and building AI-enabled workflows and agents using various AI tools and techniques
• Managing incident response, troubleshooting complex issues, and conducting post-incident reviews
• Participating in on-call rotations to provide 24/7 support for critical production systems.
• Documenting system architecture, operational procedures, and troubleshooting guides for efficient incident response.

📌 Staff Engineer Devops (Bengaluru)
🏢 Omnissa
📍 Bengaluru