Staff SW Engineer, Full Stack [Remote]

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff SW Engineer, Full Stack in the United States.

This is a high-impact engineering role focused on building and scaling full-stack systems that power advanced geospatial intelligence and AI/ML-driven products. You will work at the intersection of satellite imagery, machine learning, and modern web applications to deliver mission-critical capabilities used for real-time decision-making. The role blends backend systems, cloud infrastructure, data engineering, and frontend development into a single end-to-end ownership scope. You will collaborate closely with machine learning, satellite operations, and imaging teams to turn complex geospatial data into usable, production-ready applications. Operating in a fast-paced, mission-driven environment, you will contribute to systems that support global intelligence and situational awareness. This position is ideal for a senior engineer who thrives on autonomy, technical breadth, and solving complex distributed systems challenges.

Accountabilities:

In this role, you will design, build, and maintain scalable full-stack systems that power geospatial analytics and AI/ML applications. You will own the development of backend microservices in Python or Go, ensuring reliability, performance, and production readiness across cloud environments. Responsibilities include:

• Developing and deploying full-stack applications combining React-based frontends with robust backend services
• Building and maintaining cloud infrastructure using AWS services (e.g., EKS, S3, EC2, RDS/Aurora, SQS, SNS) and Kubernetes
• Designing and optimizing relational database schemas for geospatial, imagery, and analytics data (PostgreSQL-based systems)
• Supporting deployment and integration of computer vision and machine learning models into production systems
• Collaborating across satellite operations, image processing, and ML teams to deliver end-to-end solutions
• Leading full project lifecycles from requirements definition through deployment and ongoing optimization
• Driving technical strategy, system architecture decisions, and best practices for scalable software development

Requirements

This role requires deep experience in full-stack engineering, distributed systems, and cloud-native architectures, with strong exposure to data-heavy or geospatial environments. Candidates should be comfortable operating independently in complex technical domains and communicating effectively across technical and non-technical stakeholders. Key qualifications include:

• 8+ years of software engineering experience, including at least 3+ years in full-stack development
• Strong proficiency in Python or Go for building production-grade microservices and APIs
• Experience with cloud infrastructure (AWS preferred), Kubernetes, and scalable system design
• Solid frontend development skills using React or similar frameworks with REST API integration
• Experience working with large-scale data systems, ETL pipelines, and relational databases (PostgreSQL)
• Strong understanding of distributed systems, performance optimization, and production operations
• Exposure to geospatial data, satellite imagery, or machine learning/computer vision is highly preferred
• Excellent communication skills with the ability to translate complex technical concepts into clear insights
• U.S. citizenship or eligibility under ITAR requirements

Benefits

• Competitive base salary (approx. $150,000–$175,000 depending on location and experience)
• Bonus eligibility, equity opportunities, and employee stock purchase program
• 100% employer-paid medical, dental, and vision coverage (employee premiums)
• Generous PTO (15 days), company holidays, floating holidays, and volunteer day
• 401(k) with employer match (pre-tax and Roth options)
• Flexible spending accounts and health savings account options
• Parental leave and disability coverage (short-term and long-term)
• Remote flexibility (US-based, with some location constraints and occasional travel)
• Professional development support and access to modern engineering tools and environments.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.