Sr. Software Engineer

Build your best future with the Johnson Controls team Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it matters most.

Backed by advanced technology, lifecycle services, and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.

• Competitive salary
• Paid vacation, holidays, and sick time
• Comprehensive benefits package including 401(k), medical, dental, and vision care
• On-the-job and cross-training opportunities
• Encouraging and collaborative team environment
• Dedication to safety through our Zero Harm policy'

Johnson Controls is seeking a Senior Software Engineer to join our Data Science and Analytics team. In this role, you will lead the design, development, and deployment of scalable software solutions that enable analytics, data-driven decision-making, and AI-powered capabilities across the organization. As a Senior Software Engineer, you will serve as a technical leader, partnering with cross-functional teams to deliver high-quality software applications, data integrations, and cloud-based solutions.

You will drive technical excellence, mentor other engineers, and help shape the architecture of enterprise platforms that support strategic business initiatives.

• Design, develop, test, and deploy scalable software applications and services.
• Lead architecture and design discussions for enterprise-level solutions.
• Develop secure, maintainable, and performant APIs and backend services.
• Ensure adherence to software engineering best practices, including testing, code reviews, and version control.
• Troubleshoot and resolve complex technical issues in production environments.

• Build and maintain integrations across cloud platforms, enterprise applications, and data sources.
• Collaborate with data engineers and data scientists to support analytics and AI initiatives.
• Develop and optimize data processing workflows and application integrations.
• Contribute to cloud-native solutions using Azure or comparable cloud platform stakeholders, and technical teams to translate requirements into software solutions.
• Provide technical mentorship and guidance to junior engineers.
• Participate in technical planning, estimation, and roadmap discussions.
• Drive continuous improvement through process optimization and engineering best practices.

• Evaluate emerging technologies and recommend improvements to existing systems.
• Support AI, analytics, and automation initiatives through robust software engineering solutions.
• Champion code quality, maintainability, and scalability across the development lifecycle.

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 5+ years of professional software engineering experience.
• Proven experience designing, building, and maintaining enterprise software applications.
• Experience working in Agile development environments.
• Demonstrated ability to lead technical projects and collaborate across teams.

• Strong proficiency in Python, C#, Java, or comparable programming languages.
• Experience developing REST APIs and microservices.
• Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
• Experience with SQL and relational databases.
• Familiarity with CI/CD pipelines, Git, testing frameworks, and Dev Ops practices.
• Experience with enterprise data platforms such as Snowflake or similar technologies.
• Understanding of software architecture, design patterns, and scalable system design.

• Experience supporting machine learning or AI-enabled applications.
• Experience with Azure services and Microsoft technology stack.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Experience with data engineering, analytics platforms, or enterprise integrations.
• Familiarity with IoT, smart buildings, or industrial technology environments.

• Strong communication and stakeholder management…