We are seeking a Lead Data DevOps Engineer to join our remote team.
You will be responsible for projects end-to-end-from conception to operationalization-demonstrating a deep understanding of the Data DevOps aspects. You will be expected to provide technical vision and guidance to your team, making strong communication skills essential in this role.
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Responsibilities
- Lead and manage the development, deployment, and operationalization of solutions within AWS
- Provide technical guidance and mentorship to the team, ensuring best practices and efficient development workflows
- Collaborate with cross-functional teams to ensure seamless integration of cloud-based solutions
- Drive continuous improvement in automation, deployment pipelines, and infrastructure scalability
- Lead the team of engineers
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- 6+ years of professional experience in DevOps, software engineering, or data engineering
- 1+ year of relevant leadership experience
- Strong experience with Terraform for infrastructure as code (IaC)
- Hands-on experience with AWS services, specifically: Networking, IAM, S3, KMS, Lambda, API Gateway, RDS and DymanoDB
- Proficient in Python, shell scripting, and SQL for automation and task execution
- Experience building and maintaining CI/CD infrastructure, preferably using Jenkins or similar tools
- Strong familiarity with Docker, Kubernetes, and other container orchestration tools
- Familiarity with principles of solution architecture and technical design
- Effective communication skills, both with technical teams and stakeholders
- B2+ English level proficiency
- Experience with SageMaker and Bedrock
- Experience with Apache Airflow