Full Stack Software Engineer (Mid-Level or Senior)

Boeing•Seattle, WA

6d•$119,850 - $197,800•Onsite

About The Position

The Boeing Company is seeking a Full Stack Software Engineer to join their Instrumentation and Data Systems (I&DS) team in Seattle, Washington. This role supports the Boeing Test and Evaluation (BT&E) organization, focusing on building the next generation of data acquisition and processing systems for Boeing’s Lab Test facilities. The engineer will contribute to a greenfield, full-stack, cloud-native platform for ingesting, streaming, processing, and visualizing high-volume sensor and time-series data. This work will impact multiple airplane programs and testing facilities by providing critical test data for aircraft design validation. The ideal candidate will be a fast learner, adaptable to new technologies, and capable of taking projects from concept to production with minimal supervision. The role involves working on an agile team with high autonomy and end-to-end ownership, including designing, implementing, and shipping features, making architectural and technology choices, and engaging directly with customers and stakeholders. This position is open to both Mid-Level and Senior Full Stack Software Engineers.

Requirements

To meet U.S. export control compliance requirements, a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee
Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
Experience developing web-based applications
Experience with RESTFul APIs
Experience with version control systems such as Git, ClearCase, or Subversion
Experience in both relational and/or non-relational databases technologies
Experience working with containerization technologies
Experience operating in an Agile development environment

Nice To Haves

7 or more years of related work experience or an equivalent combination of education and experience
Strong proficiency in JavaScript/TypeScript
Experience with relational or non-relational databases (PostgreSQL, MySQL, MongoDB, Redis, or similar)
Significant experience with backend and/or frontend JavaScript/TypeScript frameworks (React, Next.js, tRPC, Node.js, Express, or similar)
Experience building scalable, distributed, full stack microservice applications
Proficient in Python, C/C++, C#, or other programming languages
Comfortable developing and operating on Linux environments
Experience with modern testing practices and tools (TDD, Jest, React Testing Library, Playwright, Cypress, or similar)
Experience with container orchestration platforms (Kubernetes, Tanzu, OpenShift, or similar)
Familiar with continuous integration and deployment platforms (GitLab CI, CircleCI, GitHub Actions, or similar)
Experience with time-series databases (InfluxDB, TimescaleDB, or similar)
Experience with streaming platforms (Apache Kafka, Pulsar, RabbitMQ, NATS, or similar)
Familiar with stream-processing platforms (Apache Spark, Flink, or similar)
Familiar with workflow engines (Apache Airflow, Windmill, Temporal, or similar)
Experience with JavaScript data visualization libraries (Plotly, Chart.js, Apache ECharts, or similar)
Experience with data acquisition and processing systems (transducers, control systems, IoT devices, DAQ hardware, or similar)
Knowledge of design thinking and design systems (Figma, Sketch, or similar)
Familiar with authentication and authorization standards and tools (OAuth 2.0, OpenID Connect, Keycloak, or similar)

Responsibilities

Work with a team of engineers to design, architect, develop, and support a greenfield, distributed, real-time data management platform for storing, streaming, and processing large quantities of sensor data
Develop features across the entire stack, from design to production. Frontend to backend.
Design and implement intuitive user experiences for data visualization and analysis
Build clean, well-tested APIs and streaming pipelines for high-throughput time-series data
Interface with data acquisition hardware (transducers, DAQ devices) to pull and process data
Collaborate directly with customers and stakeholders to translate requirements into technical solutions
Provide technical leadership through code reviews, mentorship, architecture design, and operational best practices
Build and maintain deployment, CI/CD, observability, and database infrastructure
Help define team culture, standards, and processes
Help define product roadmap and priorities