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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Software Engineer - **Company:** GE Aerospace - **Location:** West Melbourne, FL, United States (Remote available) - **Experience:** Expert - **Salary:** $95,000.0 - $127,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Application Performance Management, Automation of Tests, Microsoft Azure, Big Data, C Sharp (Programming Language), Computational Fluid Dynamics, Configuration Management, Continuous Integration, Data Security, Data Sharing, Data Structures, Decision Support Systems, Python (Programming Language), Systems Development Life Cycle, Query Optimization, Cloud Services, Scientific Computating, Secure Coding, Technical Data Management Systems, Test Data, TypeScript, Web Services, Cloud Platform System, Production Code, Extreme Programming, Data Management, Machine Learning Operations, Software Coding, Code Restructuring, Data Pipelines, Serverless Computing - **Published:** June 14, 2026 - **Apply:** https://www.juju.com/job/00000000g7wr90 ## About the Role + Bachelor's Degree from an accredited college or university (or a high school diploma / GED with a minimum of 4 years of relevant working experience + At least an additional 3 years of relevant working experience Desired Characteristics: + Proven experience building **data platforms and ML systems** for engineering/scientific data (simulation, test, telemetry, manufacturing, or similar). + Strong cloud expertise across **AWS and Azure** , including architecture, security, and operations + Experience with **MLOps** practices: experiment tracking, reproducible training, model registry, CI/CD for ML, automated evaluation, monitoring/drift detection, and controlled rollouts. + Experience building **APIs and services** for AI-powered applications (REST/gRPC), plus strong data access patterns and query optimization. + Familiarity with modern engineering data formats and workflows (e.g., time-series, large unstructured results, metadata catalogs). + Experience with Windows and Unix/Linux development environments. + Understanding of simulation-driven design workflows and data (e.g., CFD, FEA, thermal, aero/structural analysis), including common pain points: traceability, configuration management, reproducibility, and data volume. + Experience with surrogate modeling, optimization loops, or AI-assisted design exploration is a strong plus. Business Acumen + Demonstrates initiative to explore alternate technologies and approaches, using clear tradeoff analysis (cost, risk, performance, security, maintainability). + Skilled in breaking down ambiguous problems, writing clear problem statements, and estimating effort accurately. + Stays current on industry trends in AI, cloud, and engineering simulation; brings practical innovations to improve cycle time and product outcomes., + Strong written and verbal communication skills; able to translate between domain experts and software/ML teams. + Effective collaborator with strong team-building and structured problem-solving skills. + Persists to completion through setbacks; drives accountability and results through team execution and shared ownership. ## Description + Define, develop, and evolve **AI-enabled software products and platforms** that accelerate aerospace **design engineering workflows** , leveraging large-scale **simulation, test, and manufacturing data** + Provide hands-on technical leadership for an Agile team of 8-10 **engineers** , setting architecture, coding standards, and delivery practices while remaining close to implementation + Partner with Control Title Holders and engineering stakeholders to understand product vision and translate design-engineering needs (e.g., performance, durability, operability) into software and AI capabilities + Translate requirements into a **prioritized backlog** of epics/user stories, driving delivery to required **timelines, quality, security, and operational** standards. + Collaborate with architects and domain experts to develop and execute **multi-generation technology roadmaps** for AI, data, and platform modernization (e.g., simulation-data pipelines, model serving, evaluation, and governance) + Lead the design and implementation of **data/ML pipelines** that ingest and curate simulation outputs (CFD/FEA/thermal/structural), test data, and engineering metadata-enabling analytics, surrogate modeling, optimization, and AI-assisted decision support + Build and operate **cloud-native services** on **AWS and Azure** , including secure storage, scalable compute, orchestration, and MLOps capabilities (e.g., automated training, reproducibility, and model lifecycle management) + Drive increased efficiency across teams by eliminating duplication and enabling reuse through **shared data products, common APIs, feature/model registries, templates, and reference architectures** + Establish and improve engineering processes across development, sustainment, and production support-improving reliability through **observability, incident response playbooks, automated remediation, and post-incident learnings** + Work cross-functionally with other business departments (engineering, manufacturing, quality, IT/security) to align dependencies, compliance requirements, and deliverables + Drive world-class quality through rigorous SDLC practices: **Lean/Agile/XP** , CI/CD, automated testing, secure coding, scalability patterns, documentation-as-code, refactoring, and performance engineering + Ensure the team has clear understanding of business direction, strategy, priorities, and measurable outcomes; communicate consistently and transparently + Engage subject matter experts to ensure successful transfer of complex domain knowledge (e.g., physics-based modeling assumptions, boundary conditions, mesh/solver settings) into scalable software abstractions and data standards + Write production-quality code that meets standards and delivers intended functionality using the most appropriate technologies for the project (e.g., Python, Java, C#, TypeScript-based on system needs) + Understand performance parameters for data-intensive and AI workloads; assess and improve application performance across compute, memory, storage, and network + Apply strong fundamentals in **data structures and algorithms** , implementing efficient approaches for large datasets, scientific computing workflows, and high-throughput services + Proactively share information across the team and stakeholders with the right level of detail, strong timeliness, and clear technical rationale ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)