DevOps and Infrastructure Specialist
3 days ago
This is a unique opportunity to work as a DevOps and Infrastructure Specialist for a leading organization. The ideal candidate will have a strong background in DevOps and Infrastructure as Code, with experience in supporting Machine Learning and Data Science workloads.
About the Company:
- Our company is a global leader in workforce solutions, helping organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win
- We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills
- We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year
About the Role:
- Develop automated build and deployment processes to enable continuous delivery of software releases
- Enhance the existing CI/CD pipelines for AIML application development and deployment
- Collaborate with data scientists, data engineers, data analysts, software engineers, IT specialists, and stakeholders to accelerate deployment of AI applications via CI/CD pipelines and maintain the SLAs of those applications at the centralized platform
- Design, develop and maintain infrastructure using infrastructure as code tools such as Terraform, Ansible, CloudFormation etc.
- Templatize existing Databricks CLI codes to manage Databricks platform as code for AIML data pipelines (batch processing, batch streaming and streaming) and model serving endpoints
- Enhance the existing DevOps practices to improve the overall AIML application development lifecycle
- Work closely with cross-functional teams to ensure that applications are highly available and scalable
- Collaborate with development teams and cloud platform team to ensure that infrastructure meets the requirements of the application
- Establish and maintain best practices for cloud security, compliance, and cost optimization
Requirements:
- Bachelor's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 10+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred
- Master's Degree Computer Science, Computer Engineering, Information Technology, Software Engineering or equivalent technical discipline and 5+ years of experience in software engineering with a strong background in DevOps and Infrastructure as Code, supporting Machine Learning and Data Science workloads preferred
- Expertise on code versioning tools, such as Gitlab, GitHub, Azure DevOps, Bitbucket etc., GitHub Preferred, familiar with branch level code repository management
- Experience deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). Databricks, and AWS Preferred
- Proficient with GitHub actions to automate testing and deployment of data and ML workloads from CI/CD provider to Databricks
- Strong knowledge of infrastructure automation tools such as Terraform, Ansible, CloudFormation etc.
- Experience with data processing frameworks/tools/platform such as Databricks, Apache Spark, Kafka, Flink, AWS cloud services for batch processing, batch streaming and streaming
- Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms
- Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure
- Experience in event-driven, and microservice architectures for enterprise level platform development
- Expertise in Linux, and knowledge of networking and security concepts
- Effective communication skills and a sense of ownership and drive
- Capable of coaching/mentoring individuals and teams
Salary:
$150,000 - $200,000 per year
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