The SMX Space and Intelligence (S&I) Business Unit (BU) is on the ground floor across the future remote sensing ecosystem for all orbital regimes (LEO, MEO, HEO, and GEO). We build, integrate, and operationally support our customers’ emerging space-ground systems to include real-time data processing frameworks, sensor data processing, and data visualization. We are teamed with the most passionate companies in industry, dedicated to bringing best-of-breed capabilities to address our customers’ most pressing needs.

SMX has an immediate opportunity for a Software Engineer who enjoys working on the backend particularly using Python. They have hands-on experience and an understanding of engineering processes supporting large, National Defense, Agile software development programs.

Position location is on-site in Boulder, CO, 5 days per week.

Essential Duties & Responsibilities

Collaborate with cross-functional teams to define, design, and deploy features.
Write clean, maintainable, and efficient code particularly using Python Utilize Gitlab, Gitlab Runner, Docker, Kubernetes and Helm Charts for deployments.
Optimize applications for maximum speed and scalability.
Troubleshoot and debug issues to ensure optimal performance.
Utilize Jira for project management and tracking.
Apply DoD standards and protocols to ensure compliance and security.

Required Skills & Experience

Clearance Required: This position requires an Interim DOD Secret Clearance or higher. Due to the clearance requirement, U.S. Citizenship is required. Candidate also must agree to participate in a background screen.
BS or advanced degree in Computer Science or another relevant field
9+ years of professional experience as a software engineer focusing on creating performant solutions using Python

Desired Skills & Experience

Familiarity with Gitlab, Gitlab Runner, Docker, Kubernetes and Helm Charts.
Familiarity with other development languages and tools such as C++, Rust, TypeScript, JavaScript, React Experience with Agile software development methodology.
Experience with tools such as Jira, Confluence Experience working on “badge-less” engineering teams on a large National security contract.
Domain experience with remote sensing systems or ground architectures, especially experience with OPIR sensor processing.

Application Deadline: December 28, 2026

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The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.

The proposed salary for this position is:

$150,000—$180,000 USD

At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is an Equal Opportunity employer including disabilities and veterans.

Selected applicant may be subject to a background investigation and/or education verification.

SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The proposed salary for this position is: 150000 - 180000 USD

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