Scientific Programmer IV

ECS1

ECS is seeking a highly experienced Scientific Programmer to work remotely that is technical and can communicate with science teams and leadership. This is a senior and self-managed person who has a high attention to detail and ownership of his/her tasks through closure.

Supervisory Responsibilities:

• Non-Supervisory Role

Duties/Responsibilities:

• Strong communication skills:
  Ability to communicate clearly, respectfully, and calmly-both verbally and in writing-with a wide range of stakeholders (e.g., PhDs, scientists, developers, managers, and business stakeholders)
• Documentation mindset:
  Demonstrated willingness to document actions, decisions, assumptions, and open questions in tools such as JIRA, Confluence, and similar platforms. Able to be clear, concise, and explicit about uncertainties.
• Critical thinking and constructive challenge:
  Confidence to ask questions, incorporate feedback, and respectfully push back on ideas that appear incorrect, with a focus on reaching the best possible solution.
• Software and cloud development knowledge:
  Working knowledge of software development and cloud concepts. Deep expertise is not required, but the candidate must be willing to learn from guidance, self-teach as gaps are identified, and continuously improve.
• Experience with non-serverless architectures:
  Familiarity with non-serverless infrastructure such as EC2, containerized workloads, and related compute models.
• Infrastructure as Code (IaC) exposure:
  Some hands-on experience with Infrastructure as Code tools (e.g.,
  Terraform, AWS
  CDK, Azure Bicep
  , or equivalents), even if limited.
• Architecture comprehension and feedback:
  Ability to review AWS architecture diagrams, ask clarifying questions, mentally model the system, and provide constructive, co-architectural feedback to ensure solutions are fit for purpose.
• Diagramming and visual communication:
  Experience creating architecture diagrams (
  AWS
  -focused preferred) to clearly communicate ideas and designs beyond written explanations.
• Strong sense of ownership (absolute requirement):
  Takes responsibility for their work end-to-end. Proactively monitors and fixes issues without being asked, seeks improvement independently, and treats failures as learning opportunities. Ownership is defined by accountability and growth—not perfection.

Salary Range: $80,000 – $120,000

General Description of Benefits

Required Skills

• BS/BA in Computer Science, a Technical Field, or other related disciplines.
• Excellent communication and a bility to communicate clearly, respectfully, and calmly-both verbally and in writing-with a wide range of stakeholders (e.g., PhDs, scientists, developers, managers, and business stakeholders).
• Demonstrated experience migrating scientific applications from on-premise systems to a Cloud environment.
• Demonstrated experience programming in Python and experience with Docker containers and Kubernetes using CI/CD pipelines.
• Demonstrated experience working in an agile/scrum team.
• Experience building and leveraging Git Lab runners.
• Experience with code-defined Infrastructure, configuration management tools, and CI/CD.
• Experience working with Cloud Service Providers, including AWS, Microsoft Azure, and Google Cloud Platforms.
• Experience and understanding of large-scale infrastructure deployments in enterprise-wide environments leveraging DevOPS principles and utilizing a CI/CD pipeline.
• Excellent written, verbal, and analytical skills.
• Ability to obtain a Public Trust Clearance.

Desired Skills

• Federal government experience.
• 2+ years’ experience with Atlassian Suite (Jira, Confluence, Bitbucket).