We are seeking a Senior Data DevOps Engineer to join our team, where you'll contribute to the design, development, and maintenance of a scalable AWS data platform.
You will collaborate closely with engineering peers in a supportive environment that values teamwork, problem-solving, and individual expertise. If you are passionate about cloud technologies and data pipelines, we encourage you to apply and help us innovate.
Responsibilities
Design, develop, and maintain scalable data platforms and pipelines using AWS services
Implement data ingestion processes and optimize data consistency and performance
Write efficient, maintainable Python code and ensure compliance with coding standards
Provision and manage AWS infrastructure (e.g., ECS, RDS, IAM, CloudWatch, VPC, Serverless, Glue, DynamoDB, EMR) using Terraform
Monitor, troubleshoot, and automate data processing workflows
Update documentation and knowledge bases to support team collaboration
Champion AI technology adoption and Agile practices within the team
Mentor and support junior engineers
Requirements
Bachelor’s degree in Computer Science or related field, or equivalent experience
3+ years in enterprise cloud application development, with a focus on AWS and Terraform
Expertise in AWS data services (Glue, Athena, S3, ETL/ELT), Python, and infrastructure as code
Strong problem-solving, troubleshooting, and collaboration skills
Experience mentoring junior engineers and working in Agile teams
Effective communication skills (English B2+)
Ability to work flexible hours until 11 EST
Nice to have
Experience with AWS Lambda, DynamoDB, ECS, and RDS
Familiarity with monitoring/analytics tools (New Relic, Splunk), Cribl Stream, and Metabase