Staff Python Engineer (Modeling & Simulation)

Code Metal, Inc.; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation assistance for qualifying员工

Health Care Plan (Medical, Dental &amp

Paid Time Off (Uncapped Vacation, Sick

Flexible hybrid work arrangement

Retirement Plan (401k, IRA)

Job summary

Code Metal, Inc. is seeking a backend software engineer to help build the Python services, pipelines, and tooling that drive the core wargaming simulation for a DoD-focused platform.

You will design and implement backend services, APIs, and data interfaces that connect with the frontend, other simulators, and analysts. The role emphasizes scalable cloud architectures, strong SDLC practices, and collaboration with multiple stakeholders across government and engineering teams.

Qualifications

• 7+ years of engineering experience in enterprise software.
• Experience delivering Python-based solutions to a large customer base.
• Hands-on experience with Docker and containerized apps.
• Experience gathering requirements from stakeholders and distilling them into software designs.
• Eligible to obtain/maintain a U.S. Top Secret security clearance.
• Experience building scalable APIs (REST, GraphQL, gRPC).
• Familiarity with cloud services and distributed architectures.

Responsibilities

• Develop Python services, pipelines, and tooling for wargaming simulations.
• Design backend services and APIs that interface with frontend and multiple simulators.
• Build cloud-scale infrastructure for reproducible simulations across environments.
• Mentor teammates and provide architectural guidance across the stack.
• Ensure robust SDLC practices and code quality in AI-integrated workflows.

Skills

Python

Docker

APIs

Cloud architectures

Distributed systems

REST

GraphQL

gRPC

Stakeholder collaboration

Mentorship

Tools

AWS

GCP

Azure

Job description

• Our Modeling & Simulation team is building the next-generation wargaming and decision-support platform that helps the DoW make multi-billion-dollar force-design decisions before those decisions are made in the real world
• The team spans simulation and physics, backend and data systems, frontend and geospatial visualization, and AI systems, working together to turn operational questions into extensible, mission- and campaign-level simulations that government users can trust
• In this role, you will help build the Python services, pipelines, and tooling that drive the core wargaming simulation
• You will design backend services and APIs that interface with the frontend, integrate with multiple simulators, manage the data, and expose results to analysts, model developers, and government stakeholders
• Scope of ownership, architectural authority, and mentorship responsibility scale with level — see “Level Expectations by Track” below
• You’ll develop the backend infrastructure that interfaces with agentic AI and machine learning pipelines to support platform, sensor, behavior, and decision models used across the simulation, while building extensible, well-tested foundations for the broader wargaming platform
• You’ll help design scenario-generation, Monte Carlo, sensitivity-analysis, and campaign-evaluation workflows, and build the distributed, cloud-scale infrastructure that lets simulations run across developer workstations, on-premises infrastructure, and cloud compute while preserving reproducibility and model provenance
• Strong command of cloud services and distributed architectures is essential

Benefits

• Relocation assistance for qualifying employees
• Health Care Plan (Medical, Dental & Vision)
• Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)
• Flexible hybrid work arrangement
• Retirement Plan (401k, IRA)

Familiarity with machine learning tools and frameworksProfessional experience with collaborative, enterprise-level software development in Python, delivering products to a large customer baseHands-on experience with Docker and containerized application developmentExperience gathering requirements from stakeholders and distilling them into software designsEligible to obtain and maintain an active U.S. Top Secret security clearanceExperience building and delivering robust software using strong SDLC practices, including code review, testing, continuous integration, release management, and build systemsExpertise building scalable APIs (REST, GraphQL, gRPC)Years of Experience: 7+Engineering Craft & Code Quality: Defines and enforces the team’s testing strategy, standards, and quality bar; ensures AI-generated output is tightly integrated into existing paradigms and robustly testedArchitecture & Technical Knowledge: Designs cross-cutting changes across the stack; provides architectural guidance across the team; owns design docs for major multi-service or multi-surface projectsTechnical Leadership & Mentorship: The primary technical gatekeeper for the team’s codebase; reviews most high-impact work; leads technical grooming, design spikes, and RFCs; coordinates across pods when changes cross domain boundariesDelivery, Scoping & De-risking: Owns technical scoping and execution strategy for complex, multi-sprint initiatives; audits requirements for technical risk and hidden dependencies before development beginsExperience developing models for sensors, weapons, electronic warfare, jamming, communications, logistics, or command and controlDirect experience developing AFSIM plugins, framework extensions, event infrastructure, or custom platform typesFamiliarity with agentic AI frameworks and solutionsActive U.S. security clearance (Secret, Top Secret, or SCI/SAP)Familiarity with code analysis / static analysisExperience supporting Air Force, Space Force, joint, or broader DoD acquisition and mission-analysis programsFamiliarity with HLA, DIS, OneSAF, JSAF, NGTS, STK, or other constructive and distributed simulation environmentsExperience working with cloud-based distributed systems (AWS, GCP, Azure)