Software Engineer - Senior (Automation & AI)

Job Summary

Key Responsibilities

• Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas; following the software development lifecycle; Document and demonstrate solutions; Develops flow charts, layouts and documentation Determine feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions; Understand business needs and know how to create the tools to manage them Prepare and install solutions by determining and designing system specifications, standards and programming Recommend state-of-the-art development tools, programming techniques and computing equipment; participate in educational opportunities; read professional publications; maintain personal networks; participate in professional organizations; remain passionate about great technologies, especially open source Provide information by collecting, analyzing, and summarizing development and issues while protecting IT assets by keeping information confidential; Improve applications by conducting systems analysis recommending changes in policies and procedures Define applications and their interfaces, allocate responsibilities to applications, understand solution deployment, and communicate requirements for interactions with solution context, define Nonfunctional Requirements (NFRs) Understands multiple architectures and how to apply architecture to solutions; understands programming and testing standards; understands industry standards for traditional and agile development Provide oversight and foster Built-In Quality and Team and Technical Agility; Adopt new mindsets and habits in how people approach their work while supporting decentralized decision making. Competencies: Security & Compliance Principles - Applies standards, tools, and best practices to embed security, privacy, and compliance into the design/build/test/operate lifecycle for products, services, apps, systems, software, and configurations—balancing protection, efficiency, and cost. Programming Principles - Applies programming languages, frameworks, and patterns to design, write, configure, test, and maintain software/solutions/systems that are efficient, secure, scalable, and reliable. Data Principles - Governs, models, secures, implements, and observes data flows to ensure integrity, quality, and compliance—enabling trusted, scalable, cost-conscious data use. Modern Development Practices - Applies modern engineering practices and tools—such as Agile/DevSecOps, CI/CD, automated testing, and infrastructure as code—to accelerate delivery, improve quality, and reduce risk across the SDLC. Solution Design - Translate business requirements into integrated designs, architectures, patterns, and system interactions that deliver customer value and align with enterprise standards and subject-matter platforms. Demonstrating Mastery - Maintains essential knowledge and proficiency in relevant domains, tools, technologies, methodologies, or frameworks through targeted credentials and rigorous proficiency, future-proofing organizational skills against strategic needs. Strategic and Innovative Thinking - Evaluates business and technology trends, anticipates future needs, develops creative approaches, and frames innovations to shape strategy and create durable value with cost-aware innovation. Technical Passion & Drive - Models curiosity and excitement for technology by self-initiating continuous development, experimenting with emerging technologies, and identifying insertion opportunities that accelerate business performance. Driving Effective Outcomes - Takes ownership, acts with urgency, and initiates action to turn goals into clear plans, decisions, guardrails, and cadences while navigating ambiguity and change to drive momentum and deliver consistent results. Engaging with Impact - Communicates with clarity and purpose to align stakeholders, foster collaboration, build trust, and influence coordinated action across teams and functions to accelerate outcomes. Values Differences - Recognizing the value that different perspectives and cultures bring to an organization. Ensuring Customer Success - Embraces a customer-first mindset to deliver outcomes by linking customer needs and business priorities to aligned solutions, delivery, adoption, satisfaction, and realized value through sustained engagement that builds partnership and trust. Education, Licenses, Certifications: College, university, or equivalent degree in Computer Science, Engineering, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. Experience: 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.