The Role
Designs, develops, tests, deploys, and maintains scalable enterprise software using Python and Java. Builds APIs, microservices, and backend systems; contributes to CI/CD and DevOps practices; writes automated tests; troubleshoots production issues; optimizes performance, scalability, and security; and collaborates with cross-functional engineering and product teams throughout the software development lifecycle.
Summary Generated by Built In
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.
- 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.
About UsHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.
Skills Required
- 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 or Unix environments
- Knowledge of software testing frameworks and debugging tools
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
- Knowledge of Docker and Kubernetes
- Experience with Kafka or RabbitMQ
- Understanding of DevOps practices and CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps
- Exposure to Agile or Scrum development methodologies
- Experience with data processing, analytics, or machine learning applications
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