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Software/ML Engineer – Top-Secret
IT Coalition. Design, build, and operate cloud-native microservices in Python to support AI foundation models and agentic workflows at scale .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building cloud-native microservices using Python, with a strong focus on AI and machine learning integration. Proficient in developing REST APIs and backend services, applying Infrastructure-as-Code, and ensuring production readiness through CI/CD pipelines.
Highest-signal resume keywords
Cloud-Native Microservices DevelopmentMachine Learning DeliveryREST API DevelopmentAzure Cloud ServicesActive Top Secret Security Clearance
ATS Keywords
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Hard Skills
PythonMachine LearningData ModelingData EngineeringInfrastructure-as-CodeCI/CD PipelinesREST APIsBackend ArchitectureGeospatial WorkflowsComputer Vision
Tools & Technologies
Azure AKSIAMRedisDockerMessaging Systems
Certifications & Qualifications
Bachelor's Degree in Computer ScienceActive Top Secret Security Clearance
Industry Keywords
AI Foundation ModelsAgentic WorkflowsGeospatial AI SolutionsAerial Object DetectionTrackingMap Generation
Tech Stack
Tools & technologiesAzureCloudDistributed SystemsDockerMicroservicesPythonRedisTypeScript
About the role
Key responsibilities & impact- Design, build, and operate cloud-native microservices in Python to support AI foundation models and agentic workflows at scale
- Develop and maintain REST APIs and backend services using Azure AKS, IAM, Redis, and messaging systems with production-grade reliability
- Apply Infrastructure-as-Code (IaC) and CI/CD pipelines to automate deployment and ensure production readiness
- Partner with Engineers, Data Scientists, Designers, and Program Managers to deliver solid technical designs
- Build cloud-native services and backend systems powering Spectre's AI foundation models and agentic workflows
- Support Microsoft's Spectre team and the NGA in developing geospatial AI solutions, including aerial object detection, tracking, and map generation
Requirements
What you’ll need- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field, required
- Proven experience in data science, software development, data modeling, or data engineering, OR equivalent experience
- Minimum 2 years of professional experience with machine learning delivery responsibilities
- Experience delivering high-quality code components that power services, servers, distributed systems, and backend architecture
- Experience incorporating AI, Machine Learning, and Computer Vision capabilities into solutions and services
- Ability to meet Microsoft, customer, and/or government security screening requirements
- Active Top Secret (TS) security clearance required; TS/SCI preferred but not required
- U.S. Citizenship required
- Ability to function in a general office environment
- Hands-on experience with REST APIs, backend services, and containerization technologies such as Docker preferred
- Experience with Azure cloud services, including AKS, IAM, Redis, and messaging systems preferred
- Background in building scalable, distributed backend systems preferred
- Practical experience working with geospatial workflows or datasets preferred
Benefits
Comp & perks- Health, Dental and Vision
- 401(k)
- Flexible Spending Account (FSA)
- 11 Paid Federal Holidays
- PTO
- Education reimbursement