Python Kubernetes Software Engineer Data Jobs in Philadelphia, PA

The Advanced Software Engineer - is a senior technical contributor responsible for designing, developing, and maintaining highquality, scalable software solutions that leverage modern software engineering practices with AIenabled capabilities. This position focuses on software development of industrial process controls software using AI technology.  

This role goes beyond traditional software development by integrating AIassisted workflows, machine learning models, and GenAI technologies into Honeywell software products, platforms, and engineering processes. The engineer will work across the full software lifecycle: requirement, architecture, design, implementation, testing, deployment, and operational support while collaborating with crossfunctional teams to deliver reliable, secure, and maintainable systems used in missioncritical environments.

This position is based in Fort Washington PA.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

YOU MUST HAVE

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
• Minimum of 5 years of professional software engineering experience in the industrial field.
• Prior experience integrating AI or datadriven components into software products.
• Strong proficiency in one or more modern programming languages or frameworks (e.g., C++, C#, Java, Python, or modern web technologies such as HTML/React).
• Experience building and maintaining productiongrade software systems, including containerized and orchestrated environments using Docker and Kubernetes.

WE VALUE

• Experience in industrial, embedded, realtime, or missioncritical software environments.
• Familiarity with cloud platforms, distributed systems, or microservices architectures.
• Experience with machine learning fundamentals, including model types, evaluation metrics, and data considerations.
• Familiarity with Generative AI concepts, such as large language models (LLMs), small language models (SLMs), embeddings, prompt engineering, and retrievalaugmented generation (RAG).
• Experience working with highperformance artificial intelligence technologies, including leading commercial and opensource models and inference frameworks (e.g., LLMs, vision models, local or edge inference runtimes).
• Experience with cloudbased AI platforms (e.g., Azure ML, Databricks, Vertex AI, or equivalent).

U.S. PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S.citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability toobtain an export authorization.

BENEFITS OF WORKING FOR HONEYWELL

In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit:Benefits at Honeywell

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.Posting Date: 7/9/2026

ABOUT HONEYWELL

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell click here:Honeywell - The Future Is What We Make It

THE BUSINESS UNIT

Process Automation (PA) is a Strategic Business Group at Honeywell focused on delivering automation, control, and optimization solutions for industrial and process-driven environments. The business helps customers improve safety, reliability, productivity, and operational efficiency by applying advanced control systems, software, and engineering expertise across complex operations.

Advanced Software Engineering

• Design, develop, test, and maintain complex software systems using modern programming languages, frameworks, and architectural patterns.
• Own features or subsystems endtoend, from requirements and design through deployment and longterm support.
• Apply disciplined software development practices including version control, code reviews, automated testing, and documentation.
• Ensure software meets Honeywell standards for quality, reliability, performance, cybersecurity, and safety where applicable.
• Diagnose and resolve complex technical issues in development and production environments.

AIEnabled Software Development

• Integrate AIdriven capabilities into software products and internal engineering tools to improve functionality, productivity, and decisionmaking.
• Apply AI techniques for use cases such as intelligent automation, anomaly detection, predictive insights, naturallanguage interfaces, and engineering workflow acceleration.
• Collaborate with data scientists and platform teams to incorporate machine learning or GenAI components into productiongrade software systems.

GenAI & Applied AI Usage

• Identify and evaluate highvalue opportunities to apply GenAI within software products and engineering processes.
• Use GenAI tools responsibly to assist with code generation, documentation, test creation, debugging, analysis, and summarization.
• Design software interfaces and workflows that safely and effectively consume AI model outputs.
• Validate AIassisted outputs to ensure correctness, robustness, and alignment with Honeywell standards.

Technical Leadership & Collaboration

• Act as a technical mentor for lessexperienced engineers and contribute to team engineering best practices.
• Participate in architecture and design reviews, providing guidance on scalability, maintainability, and AI integration.
• Work closely with systems, hardware, cybersecurity, product management, and test teams across Honeywell.