Python Developer

DMI•Remote,

15d•$152,513 - $190,642•Hybrid

About The Position

DMI, LLC is seeking a Python Developer to design, build, and operate the internal applications and automation that support a large federal enterprise IT services program. The program provides IT support to thousands of users across Washington, DC and nationwide field locations. The Python Developer will turn manual, time-intensive processes into reliable tools, including AI-enabled automation, that give program leadership accurate, timely data on ticket status, service level performance, procurement, and asset accountability. This role works directly with program leadership and functional team leads. The right candidate is comfortable working with minimal supervision and owning an application from requirements through production support, works from evidence, and fixes root causes rather than symptoms.

Requirements

Bachelor's degree in Computer Science, Information Systems, or a related field, or an equivalent combination of education and experience.
5 or more years of professional Python development experience.
Hands-on experience building web applications with Flask or a comparable Python framework.
Experience integrating with REST APIs, including authentication, pagination, and error handling.
Working knowledge of Linux server administration, including systemd, file permissions, and Bash scripting.
Experience with data processing using pandas and SQL, including working knowledge of PostgreSQL database design, querying, and administration.
Proficiency with Git and disciplined version control practices.
Working knowledge of open source technologies, including evaluating, deploying, and maintaining open source tools, frameworks, and libraries in production environments.
Hands-on DevOps experience, including building and maintaining CI/CD pipelines and automating deployments.
Experience managing separate development and production environments, including controlled promotion of changes between them.
Experience designing and testing backup and recovery strategies for applications and databases.
Experience writing automated tests with pytest or a comparable framework.
Demonstrated ability to work independently with minimal supervision, manage multiple priorities, and deliver on commitments.
Strong written and verbal communication skills.
Ability to successfully complete a background investigation and meet ongoing personnel security reporting requirements.
Occasional after-hours work may be required for production deployments and incident response.
Must be a U.S. Citizen

Nice To Haves

Apply AI and large language model capabilities where they add measurable value, such as extracting data from purchase orders and other unstructured documents, classifying and summarizing tickets, and drafting status reports for human review.
Use approved AI-assisted development tools to accelerate coding, testing, and documentation, while personally validating all generated code before it reaches production.
Integrate Asset Manager purchase order and asset records with ServiceNow ticket data to support end-to-end tracking from order through receipt and delivery.
Design integrations following least-privilege access principles.
Ensure AI features use only approved services, keep sensitive data protected, and include human review of outputs that drive decisions or customer-facing results.
Follow change management practices aligned with ISO/IEC 20000.
Produce runbooks, user guides, and knowledge articles in coordination with the Knowledge Management team.
Translate operational problems raised by team leads into clear requirements and working tools.
Brief technical findings in plain language to program leadership and non-technical staff.

Responsibilities

Design, develop, and maintain internal Python web applications using Flask and Streamlit that support service delivery, procurement, acquisition lifecycle tracking, and asset accountability.
Automate recurring manual workflows such as report generation, data reconciliation, document assembly, and ticket follow-up.
Apply AI and large language model capabilities where they add measurable value, such as extracting data from purchase orders and other unstructured documents, classifying and summarizing tickets, and drafting status reports for human review.
Use approved AI-assisted development tools to accelerate coding, testing, and documentation, while personally validating all generated code before it reaches production.
Deliver work in short, demonstrable increments and incorporate stakeholder feedback between releases.
Build and maintain integrations with ServiceNow to retrieve and report on ticket and request data.
Integrate Asset Manager purchase order and asset records with ServiceNow ticket data to support end-to-end tracking from order through receipt and delivery.
Develop ticket monitoring and notification tools that support requirements for timely status updates and service level response and resolution windows.
Design integrations following least-privilege access principles.
Produce service level performance reporting, including monthly close processes.
Ensure data accuracy across procurement, receiving, and asset records in ServiceNow, Asset Manager, and other data sources.
Generate and parse PDF, Excel, and CSV documents, including purchase order and asset accountability records.
Deploy and operate applications in a secure Linux environment.
Maintain separate development and production environments, and promote changes to production only after testing and validation in development.
Apply DevOps practices, including version-controlled deployments, CI/CD pipelines, and automated build, test, and release processes.
Design, implement, and regularly test backup and recovery strategies for applications, configurations, and databases, including documented restore procedures.
Maintain deployment and monitoring scripts, with documented verification and rollback steps for every change.
Monitor application health, troubleshoot production issues, and perform root cause analysis.
Write automated tests and apply code quality practices.
Follow secure coding practices aligned with NIST guidance, including protected credential handling and least-privilege access.
Ensure AI features use only approved services, keep sensitive data protected, and include human review of outputs that drive decisions or customer-facing results.
Follow change management practices aligned with ISO/IEC 20000.
Produce runbooks, user guides, and knowledge articles in coordination with the Knowledge Management team.
Translate operational problems raised by team leads into clear requirements and working tools.
Brief technical findings in plain language to program leadership and non-technical staff.