Software Development Engineer - MLB

The Software Development Engineer I develops tests, documents, deploys, and maintains software solutions for Manufacturing Engineering. The role applies to software engineering fundamentals to well-defined operational problems involving user interfaces, Python services, databases, analytics, manufacturing data, and system integrations.

Working within established architecture, engineering standards, and review processes, the engineer owns well-defined deliverables, investigates technical problems, and contributes to reliable solutions used in an aerospace manufacturing environment. Guidance is available for unfamiliar technologies, complex integrations, and production-impacting decisions.

• Software development and testing
• Develop, test, and maintain well-defined features for user-facing applications and backend services; correct defects; and support-controlled production maintenance activities.
• Develop clear and accessible interfaces using established frontend patterns, user requirements, and acceptance criteria.
• Create and update APIs, data-processing functions, and background tasks using established architecture, coding standards, and peer review.
• Write unit and integration tests, participate in code reviews, resolve review feedback, and document implemented behavior.
• Data and manufacturing systems
• Write SQL queries, perform basic data analysis, and implement approved changes to relational data models for manufacturing applications.
• Develop and maintain defined components for data ingestion, validation, transformation, and traceability from documents, spreadsheets, structured files, equipment, or telemetry sources.
• Develop and support defined integrations among manufacturing applications, databases, enterprise systems, and equipment interfaces using documented requirements, approved data contracts, and established security controls.
• Analyze software logs, data quality issues, and representative examples; identify probable causes; and
  ** escalate
  * * issues that require broader architectural or production decisions.
• Applied analytics and AI
• Develop or integrate defined analytics, classification, anomaly detection, retrieval, or AI-enabled components when included in the assigned project, with appropriate technical review.
• Evaluate outputs against defined acceptance criteria, document limitations and test results, and route uncertain or high-impact results for review.
• Follow established controls for data privacy, access, model or dataset versioning, and reproducibility.
• Delivery and collaboration
• Participate in technical discovery and translate defined requirements or user stories into development tasks, acceptance criteria, estimates, and implementation plans for assigned work.
• Apply established practices for source control, testing, accessibility, security, deployment, configuration management, and controlled changes.
• Communicate progress, technical findings, risks, and support needs clearly to engineers, operators, and domain specialists.
• Prepare concise technical and operating documentation for the solutions developed.

• Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, Information Technology, or a related field, completed by the position start date.
• Demonstrated programming experience through coursework, capstone projects, internships, research, or professional work using Python or another object-oriented programming language.
• Working knowledge of SQL, relational database concepts, and common data structures.
• Familiarity with Git or another version-control system.
• Understanding of REST APIs, client/server applications, debugging, and fundamental software testing concepts.
• Ability to independently progress on well-defined tasks, ask for support when needed, learn unfamiliar technologies, document solutions, and collaborate with technical and non-technical team members.
• Strong attention to detail and commitment to safe handling of company and production data.
• Coursework, capstone, internship, research, or project experience with React, Type Script, FastAPI, PostgreSQL, Oracle, or similar technologies.
• Experience with unit testing, integration testing, continuous integration, Docker, or automated build tools.
• Exposure to data pipelines, data visualization, machine learning, embeddings, large language model APIs, or retrieval-augmented generation.
• Exposure to C#/.NET, Electron, hardware interfaces, serial communication, simulators, telemetry, MES, or other…