RAM Systems Developer

Job ID: 2504935

Location: COLORADO SPRINGS, CO, US

Date Posted: 2025-04-22

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: Yes

Description

SAIC seeks an experienced RAM Systems Developer for theGround-Based Radar (GBR) Maintenance and Sustainment Services (GMASS) contract. GMASS supports the US Space Force, Space Systems Command, in performing operational maintenance and sustainment of five Upgraded Early Warning Radars (UEWR), and one Perimeter Acquisition Radar Attack Characterization System (PARCS). The ground-based radars are critical to US and Allied strategic missile warning, missile defense, and space domain awareness missions. The RAM Systems Developer will have strong skills in data analytics, metrics, and statistical analytics activities with the GMASS program teams (e.g., Integrated Product Support, Depot Maintenance, etc.). This position is in Colorado Springs, Colorado.

Job Duties:

• Build, maintain, and scale PowerBI dashboards, including DAX skills, data transformations in Power Query, and optimizing performance for large datasets.
• Apply statistical methods like Weibull, Bayesian analysis, MTBF estimations, and regression analysis - ideally in a reliability engineering context.

Qualifications

• Bachelor's degree and 9+ years' of professional experience.
• Active Secret clearance.
• Familiarity with automating data pulls from maintenance systems, preprocessing data, and ensuring clean data pipelines into PowerBI.
• Understanding of MTBF, MTTF, Availability, Failure Modes, and maintenance data trends.

Desired:

• Ability to support deep-dive reliability analysis, complex reliability distributions, Monte Carlo simulations (if required), or advanced Bayesian inference models and integrating results back into the dashboard.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC accepts applications on an ongoing basis and there is no deadline.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Job ID: 2504935

Location: COLORADO SPRINGS, CO, US

Date Posted: 2025-04-22

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: Yes

Description

SAIC seeks an experienced RAM Systems Developer for theGround-Based Radar (GBR) Maintenance and Sustainment Services (GMASS) contract. GMASS supports the US Space Force, Space Systems Command, in performing operational maintenance and sustainment of five Upgraded Early Warning Radars (UEWR), and one Perimeter Acquisition Radar Attack Characterization System (PARCS). The ground-based radars are critical to US and Allied strategic missile warning, missile defense, and space domain awareness missions. The RAM Systems Developer will have strong skills in data analytics, metrics, and statistical analytics activities with the GMASS program teams (e.g., Integrated Product Support, Depot Maintenance, etc.). This position is in Colorado Springs, Colorado.

Job Duties:

• Build, maintain, and scale PowerBI dashboards, including DAX skills, data transformations in Power Query, and optimizing performance for large datasets.
• Apply statistical methods like Weibull, Bayesian analysis, MTBF estimations, and regression analysis - ideally in a reliability engineering context.

Qualifications

• Bachelor's degree and 9+ years' of professional experience.
• Active Secret clearance.
• Familiarity with automating data pulls from maintenance systems, preprocessing data, and ensuring clean data pipelines into PowerBI.
• Understanding of MTBF, MTTF, Availability, Failure Modes, and maintenance data trends.

Desired:

• Ability to support deep-dive reliability analysis, complex reliability distributions, Monte Carlo simulations (if required), or advanced Bayesian inference models and integrating results back into the dashboard.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC accepts applications on an ongoing basis and there is no deadline.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.