DevSecOps

• Design, build, and maintain CI/CD pipelines for a large portfolio of data engineering workloads
• Manage infrastructure as code (CloudFormation, Terraform, or similar) across AWS environments
• Support Authority to Operate (ATO) activities
• Monitor pipeline health, set up alerting, and help troubleshoot production incidents
• Harden environments against security findings and support vulnerability remediation
• Partner with data engineers to bake security and reliability into new pipeline builds from day one
• Contribute to the team’s evolving DevSecOps standards and documentation
• Support access management and authentication/authorization configuration (e.g., EntraID, Ranger, or similar)

• Hands-on experience in a DevOps, cloud infrastructure, or security engineering role
• Working knowledge of AWS (Glue, MWAA/Airflow, EMR, S3, Lambda, Athena, or similar services)
• Experience with CI/CD infrastructure as code tooling such as Ansible or Terrasform
• Working knowledge of Docker and Kubernetes
• Comfortable working in an Agile/Scrum delivery model
• Excellent written and verbal communication skills
• Ability to work closely with an entirely remote team
• U.S. citizenship, with no dual citizenship, required (federal contract eligibility requirement)
• Ability to obtain and maintain Public Trust designation

Bonus Skills

• AWS certification (Solutions Architect, DevOps Engineer, or Security specialty)
• Experience with data quality or observability tooling
• Familiarity with Zero Trust architecture principles Lander Analytics does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, physical or mental ability, veteran status, military obligations, or marital status. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.

Lander Analytics is a boutique data science and AI firm in New York. We’ve run the New York Open Statistical Programming Meetup for over a decade, host the New York and Government Data Science & AI Conferences, and write the books and courses people use to learn R and Python. We also build production systems for government agencies, finance, academic research, retail, manufacturing, insurance, energy, pharmaceuticals, and NFL front offices.