Craig Technologies · 17 hours ago
Data and Software Solutions Technical Lead
United States
Part-time
Remote
Senior Level, Lead/Staff
$40/hr - $54.50/hr
8+ years expCraig Technologies is seeking a Part Time Data and Software Solutions Technical Lead at the NASA Johnson Space Center. The role involves shaping the technical future of mission-critical systems that impact astronaut health and performance, focusing on software development for human space exploration.
Information TechnologyManufacturing
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Architect & Prototype
Architect end-to-end systems that can start as fast, lightweight prototypes and evolve into production-grade, scalable, secure enterprise applications
Hands-on System Building: Write production-level code, especially during early prototyping, critical-path features, or complex backend/data components
Full-Stack Ownership: Own the end-to-end architecture (frontend, backend, data, cloud) for all products, ensuring a pathway from prototype to production
GenAI Strategy: Drive the strategy and implementation of Generative AI and AI enabled features
Serve as the engineering counterpart to the D&S Product Manager, co-owning technical strategy, prioritization, trade-offs, and execution
Data Command: Architect normalized data systems that ingest, clean, and visualize complex physiological sensor data. You will design the pipelines that turn raw signals into actionable insights for mission scientists
Lead. Multiply. Deliver
High-Leverage Guidance: Given the part-time nature of the team, your primary function is to be an "unblocker" and "force multiplier." Help the team deliver fast, make trade-offs, and stay aligned with mission timelines and scientific realities
Team Elevation: Provide technical leadership, mentorship, review code across all repositories and guide engineers toward clean, scalable architectural patterns
DevOps & Automation: Drive robust CI/CD and Infrastructure as Code (IaC) practices to ensure continuous delivery, monitoring, and stability for both AI-enabled and core applications
Build Secure, Scalable Infrastructure: Engineer robust data/software ecosystems with normalized databases (RDBMS/NoSQL), RESTful/GraphQL APIs, and cloud-native services (AWS/Azure)
Champion Best Practices and Innovation: Shape best practices for R&D workflows that must transition to operational-grade systems. Stay ahead of emerging trends in software development and AI to propose innovative solutions
Qualification
Required
Bachelor's degree with 5 years' experience OR high school or equivalent with 12 years' experience in softgoods fabrication industry
Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Electrical/Electronics Engineering, or a related field (or equivalent professional experience)
8+ years of hands-on experience as a full-stack developer/architect, including designing backend architectures, prototyping MVPs, and delivering scalable enterprise applications in production environments
6+ years leading and mentoring engineering teams to ship production code in short cycles, particularly remote teams with demonstratable ability teaching engineers how to think, not just what to build
U.S. citizenship or permanent residency required
Demonstrated ability to rapidly prototype full systems from scratch (e.g., using serverless architectures) and scale them to enterprise levels, incorporating security (zero-trust, RBAC) and performance optimization
Hands-on expertise in distributed systems design, microservices, and high-availability architectures
Experience in early-stage environments or 'skunkworks' teams where you had to wear every hat (DevOps, DB Admin, Frontend, Backend)
Expert Full Stack Proficiency in modern frameworks: React/Next.js (Frontend), Python/Go/Node.js (Backend)
Expert in building API services by implementing REST, or other popular patterns/technologies (e.g., GraphQL, serverless, etc.) in a distributed systems environment
Deep experience with relational and non-relational databases (PostgreSQL, MongoDB, DynamoDB, etc.)
Advanced skills in data modeling, ETL processes, and building predictive analytics/ML models
Strong understanding of data structures, algorithms, common design patterns, and performance optimization
Cloud & DevOps Expertise in one or more major CSPs (AWS, Azure) and strong experience with containerization (Docker, Kubernetes), IaC (Terraform/CloudFormation), and automated CI/CD
Exceptional communication (written/verbal) for stakeholder presentations, grant proposals, and reports; self-directed problem-solver with strategic thinking to tie tech to business outcomes
Thrives in ambiguous R&D environments
Proficient with Agile/Scrum/Lean for sprint planning/risk mitigation
Enjoys fast iteration, experimentation, and quick transitions from prototype to MVP to enterprise-grade
Must Pass a NASA Background Check
Must be able to obtain/hold a Security Clearance
Must be a US Citizen
Preferred
Master's degree in data science, data analytics, or related field
Knowledge of software or hardware systems related to NASA systems or missions
Company
Craig Technologies
Craig Technologies is a nationwide engineering, technology and manufacturing firm.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Carol Craig
Founder/CEO
Tracey Coffey
EA to CEO
Recent News
Seattle TechFlash
2025-04-30
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