DevOps Engineer

Sonata Software Overview

In today's market, there is a unique duality in technology adoption. On one side, extreme focus on cost containment by clients, and on the other, deep motivation to modernize their Digital storefronts to attract more consumers and B2B customers.

As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation™ playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.

Headquartered in Bengaluru, India, Sonata has a strong global presence, including key regions in the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in BFSI (Banking, Financial Services, and Insurance), HLS (Healthcare and Lifesciences), TMT (Telecom, Media, and Technology), Retail & CPG, and Manufacturing space. Our bouquet of Modernization Engineering Services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms.

Job Title : Sr.Devops Engineer

Location : Westlake Village CA(Onsite position)

Interview : In person interview

Responsibilities :

The Sr DevOps Engineer - AI platform will :

• Design, implement, and manage scalable and resilient infrastructure on AWS.
• Architect and maintain Windows / Linux based environments, ensuring seamless integration with cloud platforms.
• Develop and maintain infrastructure-as-code(IaC) using both AWS Cloudformation / CDK and Terraform / OpenTofu.
• Develop and maintain Configuration Management for Windows & Linux servers using Chef.
• Design, build, and optimize CI / CD pipelines using GitLab CI / CD for .NET applications.
• Integrate and support AI services, including orchestration with AWS Bedrock, Google Agentspace, and other generative AI frameworks, ensuring they can be securely and efficiently consumed by platform services.
• Enable AI / ML workflows by building and optimizing infrastructure pipelines that support large-scale model training, inference, and deployment across AWS and GCP environments.
• Automate model lifecycle management (training, deployment, monitoring) through CI / CD pipelines, ensuring reproducibility and seamless integration with development workflows.
• Collaborate with AI engineering teams to deliver scalable environments, standardized APIs, and infrastructure that accelerate AI adoption at the platform level.
• Implement observability, security, data privacy and cost-optimization strategies specifically for AI workloads, including monitoring and resource scaling for inference services.
• Implement and enforce security best practices across the infrastructure and deployment processes.
• Collaborate closely with development teams to understand their needs and provide DevOps expertise.
• Troubleshoot and resolve infrastructure and application deployment issues.
• Implement and manage monitoring and logging solutions to ensure system visibility and proactive issue detection.
• Clearly and concisely contribute to the development and documentation of DevOps standards and best practices.
• Stay up-to-date with the latest industry trends and technologies in cloud computing, DevOps, and security.
• Provide mentorship and guidance to junior team members.

Qualifications :

Preferred Qualifications :