Senior Software Engineer for Manufacturing Solutions

4 days ago


Edison, New Jersey, United States TEPHRA Full time
Job Description

We are seeking a highly skilled Senior Software Engineer for Manufacturing Solutions to join our team at TEPHRA. As a key member of our manufacturing solutions team, you will be responsible for developing cutting-edge software solutions that integrate emerging technologies and traditional methods to enhance manufacturing processes.

Key Responsibilities:
  • Design and implement software solutions that align with the architectural blueprints provided by the Product Architect.
  • Participate in all phases of the software development lifecycle, including design, testing, deployment, and maintenance.
  • Develop and deploy applications using AI/ML/Generative AI capabilities and cloud platforms (AWS, Azure, Google Cloud).
  • Implement full-stack software products, writing robust, scalable, and efficient code in Python, Java, or similar languages, and build user experience using front-end technologies like Angular, React, or similar.
  • Integrate front-end applications with backend services and databases using RESTful APIs.
  • Work closely with UX/UI designers to implement modern design principles and create responsive and accessible web applications.
  • Ensure compliance with industry standards and security protocols.
  • Participate in code reviews, maintain documentation, and adhere to best software development practices.
  • Troubleshoot, debug, and upgrade existing systems.
  • Stay updated with the latest developments in emerging technologies and full-stack development practices.
Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field. 10+ years of experience with 25% travel.
  • Proven experience as a Full-Stack Software Engineer, Developer, or similar role in a technology-driven environment.
  • Strong proficiency in at least one programming language, such as Python, Java, or C++, and front-end technologies.
  • Experience with AI/DL/ML/Generative AI, cloud services (AWS, Azure, Google Cloud), and understanding of cloud architecture.
  • Familiarity with databases, both relational (SQL) and NoSQL.
  • Knowledge of IoT frameworks and tools.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.
Preferred Skills:
  • Experience with machine learning, deep learning, and generative AI.
  • Knowledge of DevOps tools and methodologies.
  • Prior exposure to agile development practices.


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