Senior Software Engineer, Public Sector & Agentic Systems

United States Digital Space LLC; San Francisco, Washington (CA, District of Columbia); On-site; USD 216,000 - 311,000; Full time

Benefits offered by this job

Health, dental & vision coverage

Retirement benefits

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

United States Digital Space LLC seeks Senior Software Engineer to lead backend development for agentic capabilities across domains. You will design scalable distributed systems, orchestrate asynchronous agent fleets, and translate mission needs into technical specs.

Engage stakeholders and drive technical reviews on ML infrastructure and model serving. The role emphasizes cloud-native development, data pipelines, and collaboration with Federal customers.

Qualifications

• Experience building scalable backend systems and distributed architectures.
• Experience with cloud platforms and containerization.
• Knowledge of ETL and data pipelines is a plus.
• Familiarity with LLM integration and agent orchestration is beneficial.

Responsibilities

• Lead design and implementation of scalable backend systems for Federal customers.
• Oversee full lifecycle of feature development on secure networks.
• Orchestrate asynchronous agent fleets to meet mission requirements.
• Engage with customers to translate mission needs into technical requirements.
• Communicate with stakeholders to ensure acceptance criteria are met.
• Review ML infrastructure and model serving for risks and reliability.
• Shape platform roadmap for Federal product offerings.

Skills

Full stack development

Cloud-native technologies

Data engineering

AI integration

Problem solving

Collaboration & communication

Learning agility

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

United States Digital Space LLC seeks Senior Software Engineer to lead backend development for agentic capabilities across domains. You will design scalable distributed systems, orchestrate asynchronous agent fleets, and translate mission needs into technical specs.

Engage stakeholders and drive technical reviews on ML infrastructure and model serving. The role emphasizes cloud-native development, data pipelines, and collaboration with Federal customers.