Job Purpose
The Software Engineer will design, develop, and implement software applications that support and enhance industrial automation systems. This role will collaborate closely with multidisciplinary engineering teams to deliver scalable, reliable, and high‑performance automation solutions that enable operational efficiency across reverse logistics environments.
Primary Responsibilities
(Percentages reflect approximate time allocation and total 100%.)
Software Development – 60%
- Design, develop, implement, debug, and document new and existing software applications for industrial automation systems.
- Integrate specialized automation technologies including machine vision, data processing, and machine learning.
- Develop reporting, visualization, and data‑driven tools to support operational decision-making.
- Build scalable and reliable deployable libraries and tools to support reverse logistics operations.
Technical Leadership – 10%
- Provide guidance on software engineering best practices and architecture.
- Participate in code reviews and ensure adherence to development standards.
- Solve complex technical challenges and support continuous improvement initiatives.
Requirements Analysis & Collaboration – 10%
- Partner with project managers, automation engineers, and cross‑functional stakeholders to translate business and technical requirements into clear specifications.
- Support scoping, planning, and prioritization of automation projects.
Research & Development – 20%
- Evaluate emerging technologies, frameworks, and tools relevant to industrial automation.
- Develop prototypes and proof‑of‑concepts to expand the team’s technical capabilities and internal tool library.
Required Experience, Skills & Knowledge
Education
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
Experience
- 5+ years of professional software development experience.
- Demonstrated experience designing and implementing scalable, robust solutions for industrial automation environments.
Technical Skills
- Expertise architecting and developing complex software systems and selecting appropriate technologies.
- Strong proficiency in programming languages such as C++ , Python , and C# , with solid understanding of software engineering principles.
- Experience designing and integrating RESTful and/or GraphQL APIs .
- Familiarity with machine vision technologies , including tools like OpenCV and hardware integration.
- Experience developing or integrating machine learning models for real‑time industrial applications (TensorFlow, PyTorch a plus).
- Knowledge of DevOps practices , CI/CD pipelines, and automated testing.
- Experience with SQL and NoSQL databases , data modeling, and performance optimization.
- Experience working with large datasets , real‑time data streaming, and data visualization tools.
- Experience with cloud platforms (AWS, Azure, or Google Cloud) and cloud‑native architectures.
- Understanding of microservices and container technologies such as Docker and Kubernetes .
Leadership & Soft Skills
- Excellent written and verbal communication skills, with the ability to explain complex concepts to diverse stakeholders.
- Strong analytical and problem‑solving abilities to handle challenging real‑time automation scenarios.
- Proven ability to collaborate effectively in large, global, cross‑functional teams.
Preferred Qualifications
(These are beneficial but not required.)
- Master’s degree in Computer Science, Computer Engineering, or related technical field.
- Knowledge of industrial communication protocols (e.g., Modbus , OPC-UA , EtherCAT ).
- Experience integrating with PLCs, SCADA , and HMI systems.
If no application deadline is provided, this role may be a pipeline requisition, and we'll continue to collect applications on an ongoing basis, or there is no requirement for this information in the location where the role is posted.
Any posted pay range considers a wide range of compensation factors, including candidate background, experience, and work location, while also allowing for salary growth within the position.
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Our unique culture is a big reason why talented people choose Assurant. Named a Best/Great Place to Work in 14 countries and awarded the Fortune America’s Most Innovative Companies recognition, we bring together top talent around the world. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We call our culture The Assurant Way.
Company Overview
Assurant is a leading global business services company that supports, protects, and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products, and other specialty products.
AI and Biometric Usage
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Equal Opportunity Statement
Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by federal, state, or local law in employment decisions.
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