Senior Software Engineer, Fullstack

For this position we are targeting a base pay between $160,000 - $198,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

• Develop and maintain responsive front-end applications and the robust backend APIs that support them.
• Implement real-time data streaming features to visualize dynamic data on maps and dashboards.
• Collaborate cross-functionally with Backend, Data Science, and Dev Ops teams to integrate AI models into the user experience.
• Participate in the full development lifecycle—from coding and code reviews to deployment and feature monitoring.
• Write clean, maintainable, well-documented, and thoroughly tested code across the entire stack.
• Monitor application performance, troubleshoot bugs, and assist in root cause analysis for production issues.

• BS/MS degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
• 3+ years of professional software engineering experience across the full stack.
• Solid proficiency in modern frontend frameworks (e.g., React, Vue, Type Script) and backend languages (e.g., Python, Node.js, Rust, Go).
• Experience handling real-time data on the frontend (e.g., Web Sockets, SSE) and managing application state.
• Good understanding of API design (REST/GraphQL), relational databases (e.g., PostgreSQL), and caching layers (e.g., Redis).
• Familiarity with containerization (Docker) and modern development workflows (Git).
• Able to leverage AI coding assistants to increase velocity while fully understanding and taking ownership of all code you commit.
• Strong communication skills and a collaborative mindset to thrive in a fast-paced team environment.

• Experience with web-based mapping and visualization libraries (e.g., Mapbox, Map Libre).
• Experience with real-time audio consumption workflows, including Opus decoding, browser audio rendering APIs, and managing multi-channel live audio streams via Live Kit/WebRTC.
• Familiarity with cloud platforms (AWS, GCP) and basic Kubernetes concepts.
• Exposure to event-driven architectures or streaming systems.
• A deep interest or background in aerospace, aviation, or autonomous systems.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.