Senior Software Engineer, Python; Leawood, KS & Arlington, VA

Senior Software Engineer, Python (Leawood, KS & Arlington, VA)

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Torch.

AI is a defense-focused AI-software company on a mission to become the leading provider of critical data infrastructure for U.S. Defense and National Security. We deliver advanced AI and data software capabilities directly to customer mission owners to meet flexible, user-defined specifications and enable a decision advantage for the warfighter. We’re passionate about solving complex problems that improve national security, support our warfighters, and protect our nation.

Join us in our mission to help organizations Unlock Human Potential.

As a Senior Software Engineer , you will be at the forefront of building software that scales across Torch.

AI’s platform capabilities. Your software will be deployed across an array of operational and research & development efforts for mission-critical customer programs and projects.

• Our flat operating model puts every employee at the forefront of our customers’ missions.
• We value customer intimacy, unique perspectives, and dedication to delivering lasting impact and results. You’ll have the opportunity to work on the front lines of major customer programs and influence lasting success for Torch.
  
  AI and your teammates.
• You’ll have the opportunity to gain experience across a wide range of projects and tasks, from designing and demonstrating early capabilities and prototypes to deploying large-scale mission systems.
• You’ll contribute directly to Torch.
  
  AI’s continued position as a market leader for data infrastructure AI and compete against multi-billion-dollar incumbents and high-tech AI companies.

• Lead design and development of Python-based backend services, using frameworks such as FastAPI, Flask, or custom microservice architectures.
• Engage in troubleshooting and root cause analysis of issues across staging and production environments.
• Translate data between formats (e.g., JSON, Parquet, Avro) and contribute to internal automation and scripting efforts.
• Collaborate with Dev Ops, security, and software teams to ensure delivery of secure, performant software.
• Contribute to documentation, test plans, and service-level reliability standards.
• Guide and mentor junior engineers through code reviews, technical planning, and architectural decisions.
• Oversee and improve CI/CD pipelines, development workflows, and service observability.
• Work with relational and No
  
  SQL databases (e.g., Postgre
  
  SQL, Mongo
  
  DB, Elasticsearch, Neo4j) to enable data-driven applications.
• Manage application deployment on cloud platforms (AWS preferred), including use of S3, EC2, and related services.
• Architect and maintain RESTful APIs and service integrations across internal and external systems.

• B.S. degree in Computer Science, Technology, Engineering, or a relevant field.
• 8+ years of professional software development experience, including significant expertise in Python.
• Proven track record of designing, delivering, and supporting scalable backend systems.
• Strong knowledge of cloud-native software architecture, deployment strategies, and infrastructure-as-code concepts.
• Experience with SQL and No
  
  SQL database design and performance tuning.
• Familiarity with CI/CD pipelines, version control (Git), and Agile/Scrum processes.
• Solid understanding of security best practices, configuration management, and system integration techniques.
• Industry experience, preferably within the defense industry and/or intelligence community or related sectors, a plus.
• Ability to convey complex technical concepts to stakeholders.
• Ability to work collaboratively in interdisciplinary teams.
• Awareness of ethical considerations and responsible AI practices.
• Strong drive for improving software quality, security, and performance.
• Ability to propose innovative solutions and optimizations based on application metrics and technical insights.
• Experience with NiFi, Airflow, or similar data integration tools (not required, nice to have).
• Experience with observability tooling (e.g.,…