Description :

Position : Devops Architect

Company Overview :

Prama.ai specializes in AI-powered and Generative AI solutions across Data, Cloud, and APIs, helping businesses build intelligent platforms and scalable AI-driven products.

With 500+ projects delivered globally and 30+ engagements currently in progress, Prama.ai brings deep expertise in Data Engineering, AI/ML, and Advanced Analytics across industries such as SaaS, FinTech, Healthcare, and EdTech. We have also built 6 proprietary products, reflecting our strong product engineering DNA.

Prama.ai is ISO 27001 certified and SOC 2 Type II compliant, demonstrating our strong commitment to security and compliance. We are a trusted partner with AWS, Google Cloud Platform (GCP), Snowflake, and Databricks.

Headquartered in Phoenix, Prama.ai operates globally with offices in the USA (Chandler, AZ), Canada (Toronto), and India (Ahmedabad and Bangalore).

Location : Ahmedabad | Remote

Job type : Contract (12 Months) with possibility of extension

Note : Apply only if you area available to start immediately / 2 weeks of notice period.

Key Responsibilities :

- Lead end-to-end implementation and architecture design of Digital.ai platform (Release, Deploy, and relevant modules)

- Architect enterprise-grade CI/CD pipelines and release orchestration using Digital.ai as primary orchestration platform

- Design and implement deep integrations between Digital.ai and enterprise toolchain (Jenkins, Git, Kubernetes, artifact repositories, cloud platforms)

- Build and optimize automation frameworks and advanced scripting (Shell, Python, Groovy, REST APIs) supporting Digital.ai workflows

- Define scalable, secure, and compliant deployment architecture aligned with enterprise governance

- Act as Digital.ai SME and solution architect, engaging directly with client stakeholders and enterprise architecture teams

Required Skills :

- 10+ years of experience in DevOps / Automation / Release Engineering

- Proven architect-level experience implementing and scaling Digital.ai platform in enterprise environments

- Strong experience designing enterprise CI/CD architecture with Digital.ai as orchestration backbone

- Strong scripting skills (Shell, Python, Groovy)

- Strong understanding of release governance, compliance, and audit controls

- Ability to define best practices, standards, and reusable automation frameworks

- Experience handling enterprise performance and scalability challenges in CI/CD environments

- Experience integrating DevOps tools and cloud platforms

- Experience in large-scale enterprise environments; exposure to regulated industries preferred (Fintech preferred)

Good to Have :

- Kubernetes & container orchestration

- Infrastructure as Code (Terraform / Ansible)

- Experience in regulated environments