DevOps Automation Engr (DAE) I

We are seeking a skilled DevOps Automation Engineer to join our Infrastructure Management team. The ideal candidate will have a strong background in Infrastructure-as-Code, AWS infrastructure management, and CI/CD automation. This role requires hands-on experience with Databricks workspace deployment and integration with OKTA/SAML. The successful candidate will be responsible for designing and implementing automation solutions that enhance our infrastructure's reliability and efficiency while ensuring compliance and auditability.

• Design, implement, and manage Infrastructure-as-Code solutions using Terraform or CloudFormation.
• Oversee AWS infrastructure management, including VPCs, IAM, S3, and KMS, ensuring optimal performance and security.
• Develop and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Jenkins to automate deployment processes.
• Deploy and manage Databricks workspaces, ensuring seamless integration with OKTA/SAML for authentication and authorization.
• Design automation workflows that capture audit evidence and manage external dependencies effectively.
• Utilize Python to develop and maintain automation scripts and modules, ensuring strong coding fundamentals.
• Integrate and validate REST APIs from various platforms including Databricks, GitHub, AWS, ServiceNow, OKTA, and Lakeflow.
• Implement structured logging and debugging practices to trace state through asynchronous operations in distributed systems.
• Apply best practices in Git and version control, including branching strategies and commit hygiene, to support CI/CD integration.
• Design resilient workflows with proper error handling and recovery mechanisms to ensure system reliability.
• Document processes clearly, including writing docstrings, maintaining runbooks, and designing evidence capture for troubleshooting.

• Proficiency in Infrastructure-as-Code tools such as Terraform or CloudFormation.
• Strong experience managing AWS infrastructure components including VPCs, IAM, S3, and KMS.
• Expertise in CI/CD automation tools like GitHub Actions, GitLab CI, or Jenkins.
• Hands-on experience with Databricks workspace deployment and OKTA/SAML integration.
• Strong Python programming skills with a focus on automation and module development.
• Experience with API integration and validation, particularly with REST APIs.
• Knowledge of structured logging, debugging distributed systems, and tracing state through async operations.
• Understanding of Git and version control best practices.
• Ability to design error handling and retriable workflows.
• Strong documentation skills, including writing clear docstrings and maintaining runbooks.

• Familiarity with additional cloud platforms and services.
• Experience with monitoring and ing tools.
• Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in AWS, DevOps, or related technologies are a plus.

If you are passionate about automation, infrastructure management, and DevOps practices, we encourage you to apply and join our dynamic team.

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here.
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