01Overview
Experience working as a software engineer with the following knowledge and experiences are preferred:
- Working in Agile environments;
- Fundamental IT technical skill sets;
- Taking a system from coping requirements through actual launch of the system;
- Communicating with users, other technical teams and management to collect requirements, identify tasks, provide estimates and meet production deadlines;
- Professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing and operations.
Qualifications for Internal CandidatesResponsibilitiesCode Quality & System ReliabilityWrite clean, maintainable code aligned with SAFe coding standards and peer review practices.Develop stable applications that support high system uptime and integrate monitoring into sprint deliverables.Participate in SAFe Agile ceremonies (e.g., PI Planning, Iteration Reviews) to ensure architectural alignment and system resilience.Issue Resolution & Deployment SuccessLog and resolve defects efficiently using Agile tools (e.g., Jira, Azure DevOps), collaborating across ARTs (Agile Release Trains).Automate CI/CD pipelines to ensure smooth, error-free deployments and reduce rollback risks.Support release on demand by validating features during iterations and system demos.Integration & Stakeholder CollaborationMaintain stable data exchange between MES, PLM, and ERP systems, ensuring integration reliability.Translate stakeholder needs into actionable user stories and deliver high-quality solutions through SAFe backlog refinement.Engage users during sprint demos and retrospectives to drive continuous improvement and adoption.Industry Experience2-3 years of hands-on experience in the manufacturing industry, working directly with production system environments and enterprise IT platforms.Software Development & Design SkillsProficient in .NET, PL/SQL, Python with strong object-oriented design and modular architecture principles.Experienced in REST API development, microservices, and containerization using Docker/Kubernetes.Skilled in debugging, performance tuning, and secure coding practices.Familiar with software design patterns, UML modeling, and user-centric design for scalable enterprise applications.Platform & Tool ProficiencyMES: DS Apriso, including BPA configurationDatabases: Oracle, SQL ServerAgile Tools: Jira, Azure DevOpsVersion Control: GitCI/CD & DevOps: Familiar with pipeline automation, integration testing, and release managementCloud Exposure: Azure, AWSAdditional Skills (Nice to Have)Exposure to R, Java, or C++ depending on project stack.Experience with AI/ML workflows using Python for data-driven applications.DS Apriso Process Builder experience .
