DevOps Engineer Data Operations

Job Title: DevOps Engineer Data Operations

Location: Remote

Job Description:

Seeking a highly proficient developer to contribute to cloud-native application development using Python, Go, Kubernetes, Snowflake and Azure. The role demands deep integration with GitLab CI/CD pipelines and secure identity management via EntraID.

Key Responsibilities:

• Architect and implement scalable microservices in Python and Go.
• Manage deployments and operations via Kubernetes CLI.
• Design and maintain GitLab CI/CD pipelines.
• Integrate with AWS services (e.g., S3, Lambda, SQS).
• Implement secure authentication and authorization using EntraID.
• Optimize system performance and reliability in production environments.
• Collaborate with DevOps and security teams to enforce best practices.

Required Skills:

• High-level proficiency in Python and Go.
• Strong experience with Kubernetes CLI and GitOps workflows.
• Proven track record with GitLab CI/CD.
• Hands-on experience with Azure or AWS cloud services.
• Familiarity with Azure EntraID for identity and access management.
• Solid understanding of containerization, networking, and distributed systems.
• Demonstratable skills using Python for data manipulation with on of thee libraries like Pandas, Snowflake Snowpark, Polars, Spark Python etc.

Preferred Qualifications:

• Hands-on experience building and distributing Python libraries with Pip
• Experience with Helm and Jinja-based templating within YAML files.
• Knowledge of Kubernetes networking
• Familiarity with observability stacks and logging (Prometheus, Grafana, Splunk).
• Experience working with Data Science teams
• Previous experience integrating machine learning models into cloud services
• Basic understanding of data science and statical analysis