Senior DevOps Engineer

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.

• 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 (e.g., code generation, infrastructure-as-code suggestions, test generation, issue troubleshooting) 

• 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 (reliability, observability, incident response, cost optimization, developer experience) rather than viewing AI as a novelty. 

• 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.

• Drive development andmaintenance ofour.NETtenantmanagementtooling and automation. Elimination of manual work related to tenant creation, deletion, renaming, migration, and refresh processes. Debug these processes when they fail.

• Contribute tobest practices andbuild outtools and frameworks to increaseproductivity of our Engineering group.

• Work closely with application development teams and incorporate their feedbac