Salary
💰 $125,000 - $162,000 per year
Tech Stack
Amazon RedshiftAnsibleApacheAWSAzureChefCloudDNSDockerETLJenkinsLinuxMySQLPythonSparkTerraform
About the role
- Manage end-to-end data pipelines (ETL), AWS infrastructure (S3, EMR, Redshift), and IaC tools like Terraform and Chef.
- Support containerized applications (ECS, Docker) and administer Linux-based systems.
- Collaborate with ML teams to manage ML/GenAI infrastructure and deliver AI-driven features.
- Enable monitoring and observability across systems and applications.
- Provide support for data pipelines, including on-call rotation and release planning with Dev teams.
- Participate in design/code reviews, troubleshoot complex issues, and document root cause analyses (RCAs).
Requirements
- 8+ years of experience in Big Data technologies, data pipelines, and Linux administration; strong scripting skills in Bash or Python.
- 5+ years managing cloud platforms (AWS, Azure), including tools like ECS, EKS, AKS, Terraform, and Helm.
- Hands-on experience with Infrastructure as Code, CI/CD tools (Chef, Ansible, Jenkins), and source control (Git).
- Familiarity with Generative AI tools (SageMaker, Bedrock, Azure ML), vector databases, and a strong interest in AI technologies.
- Solid knowledge of networking (DNS, load balancers), MySQL, Apache Spark, and BI/data lake platforms (e.g., Looker).
- Strong communication skills, self-driven with global thinking, and capable of independently resolving complex issues and delivering projects.
- Health insurance
- Equal employment opportunities
- Welcoming and inclusive work environment
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLAWSLinux administrationBashPythonInfrastructure as CodeCI/CDMySQLApache SparkBig Data
Soft skills
strong communication skillsself-drivenglobal thinkingproblem-solvingindependent project delivery