Software Engr II

Job description

Honeywell is seeking a highly motivated Software Engineer II to design, develop, test, and maintain scalable software solutions. The ideal candidate will have strong expertise in Python and Java , experience with cloud technologies, and a passion for delivering high-quality software products that support Honeywell's digital transformation initiatives.

Responsibilities

Design, develop, and maintain enterprise-grade applications using Python and Java . Build scalable APIs, microservices, and backend systems. Collaborate with product managers, architects, and cross-functional engineering teams to define and implement technical solutions. Participate in the complete software development lifecycle, including requirements analysis, design, coding, testing, deployment, and support. Write clean, maintainable, and well-documented code following industry best practices.

Develop automated unit, integration, and performance tests. Troubleshoot, debug, and resolve production issues in a timely manner. Optimize application performance, scalability, and security. Contribute to CI/CD pipelines and DevOps practices. Participate in code reviews and mentor junior engineers when required.

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, or a related field. 3-6 years of software development experience. Strong programming skills in Python and Java . Experience with object-oriented design principles and software engineering best practices. Hands-on experience with RESTful APIs and microservices architecture. Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.

Proficiency in Git-based source control systems. Experience with Linux/Unix environments. Knowledge of software testing frameworks and debugging tools.

Preferred Qualifications

Experience with cloud platforms such as AWS , Azure , or Google Cloud Platform . Knowledge of containerization technologies such as Docker and Kubernetes . Experience with messaging technologies such as Kafka or RabbitMQ. Understanding of DevOps practices and CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps. Exposure to Agile/Scrum development methodologies. Experience with data processing, analytics, or machine learning applications is a plus.