Staff Software Engineer (Full Stack)

Archer•San Jose, CA

4h•$163,200 - $204,000

About The Position

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You’ll Do: We are looking for a versatile Full Stack Software Engineer to own the design, development, and maintenance of Archer’s internal tooling ecosystem. In this role, you will act as a force multiplier for the entire organization—from Hardware Engineers analyzing flight data to Talent Acquisition teams scaling our workforce. You will not just be writing code; you will be solving complex workflow problems. You will be responsible for deploying Generative AI solutions ,building data-intensive platforms, and automating critical business operations.

Requirements

At least 4 years of experience in full-stack software development adopting best practices
Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field
Strong proficiency in React ecosystem and modern CSS frameworks
Deep expertise with backend building RESTful APIs and scalable containerized applications through kubernetes or related frameworks
Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure)
Experience with designing data models for custom complex applications
Hands-on experience integrating Gen AI via API and a familiarity with employing RAG in custom applications
Knowledge of visualization technologies such as D3.js, Plotly, Grafana, Superset, or related technologies.
Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams
Clear communication skills that are essential for working across diverse stakeholders

Nice To Haves

Solid foundation in building tools for hardware, IoT, especially processing and analyzing time-series data
Experience building with Model Context Protocol (MCP) servers to connect data sources to LLMs
Previous experience with coaching and managing a small engineering team
Experience with Infrastructure as Code (Terraform, CloudFormation)
Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring

Responsibilities

Develop scalable full-stack web applications to support engineering, operations, and other stakeholders.
Identify, develop, and maintain custom tooling to enable various automated workflows supporting a wide variety of stakeholders.
Collaborate with the Data team to build a custom web app to conduct complex data reviews following flight tests. Partner with key engineering stakeholders to iterate on new features and drive adoption.
Build and maintain the full-stack of internal AI assistants that includes building MCP servers to safely connect our LLMs to internal data.
Manage the CI/CD pipelines and cloud infrastructure required to host internal tools securely.
Work directly with internal customers to gather requirements, iterate on UI/UX, and drive adoption of new tools.
Mentor a team of engineers working on deploying custom internal tools.

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