Senior DevOps Engineer Job at Seismic (Hyderabad)

Senior DevOps Engineer

Seismic

Location:
India , Hyderabad

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Cloud Engineering team at Seismic is responsible for infrastructure deployed through infrastructure-as-code and GitOps practices across all major clouds. The Production Engineering Team within Cloud Engineering advances the Seismic DevOps Model by abstracting away the complexities of infrastructure and operational processes by building tools and frameworks. The Production Engineering team provides vision and guidance, along with other Cloud Engineering teams, to the organization for development and problem-solving, and strives for cloud agnostic standardized approaches wherever possible. The Production Engineering is expanding to be globally distributed and an expansion of our North America based team. You will be at the forefront of this endeavor as the first member(s) of our team in India. The Production Engineering team’s focus is on using development skills to continually build and improve tooling and processes to empower not only ourselves, but also the Engineering organization.

Job Responsibility:

Drive development and maintenance of our .NET tenant management tooling and automation
Elimination of manual work related to tenant creation, deletion, renaming, migration, and refresh processes
Debug these processes when they fail
Contribute to best practices and build out tools and frameworks to increase productivity of our Engineering group
Work closely with application development teams and incorporate their feedback to improve developer experience and reduce toil
Present plans and proposals to Engineering Leadership
Lead projects as we execute objectives shared across our Production Engineering team
Provide guidance to less senior engineers
Participate in a 12 hours on, 12 hours off on-call rotation within the Production Engineering team
Leverage AI-assisted tools to accelerate infrastructure development, troubleshooting, and documentation while ensuring reliability, security, and compliance standards are met
Apply AI techniques to reduce operational toil, such as automated analysis of automation failures
Design and build internal tooling that incorporates AI capabilities when appropriate

Requirements:

6+ years of hands‑on experience in DevOps, Platform Engineering, Cloud Infrastructure, or a related engineering role in production environments
Comfortable asking questions and respectfully voicing your opinion in group settings
Comfortable providing and discussing a recommendation after evaluating multiple solutions
Detailed understanding of DevOps Capabilities and their importance in enabling high performing teams
Experienced working in a cloud environment in a role of devops engineer, infrastructure engineer, or software development engineer with infrastructure exposure
High level of competency with at least one cloud platform, ideally multiple, such as Azure, AWS, Google Cloud, IBM Cloud, or Oracle Cloud Infrastructure
Production level use of Terraform, Shell/Bash, and Python (or Go, Java, Ruby–another non-Shell programming language)
Have a strong knowledge of Linux, Kubernetes, networking, and infrastructure fundamentals in a multi-region microservice architecture environment
Comfortable collaborating within a global team
Comfortable using AI-assisted development tools such as GitHub CoPilot
Able to critically evaluate AI-generated outputs, identify failure modes, and apply sound engineering judgment before promoting changes to production
Curious and pragmatic about applying AI to operational problems
Understands the importance of data quality, context, and access controls when using AI in environments with sensitive production data
Interested in continuously learning and adapting as AI tooling and capabilities evolve within the software development lifecycle

Additional Information:

Job Posted:
May 03, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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