Senior software Tech Lead

We are seeking an experienced Senior Digital Technical Lead to provide technical leadership for next-generation Analytics platform. This individual will lead the technical execution of our digital initiatives, working closely with Product Management to translate customer needs into scalable, enterprise-grade software solutions. The ideal candidate combines strong software architecture, technical leadership, and business acumen with the ability to mentor engineers, coordinate cross-functional development efforts, and drive execution across modern cloud-based analytics platforms. This role requires sound engineering judgment, balancing customer needs, business priorities, AI innovation, technical excellence, cost, schedule, cybersecurity, and long-term platform sustainability to deliver enterprise-quality software., * Serve as the technical authority for the APM Analytics platform, defining the technical vision and roadmap in partnership with Product Management.

• Partner closely with Product Management to translate customer and market requirements into technical architecture, product capabilities, engineering priorities, and release plans.
• Lead the design and development of scalable, secure, cloud-native software solutions.
• Make sound technical trade-off decisions by balancing functionality, scalability, security, performance, maintainability, cost, schedule, and long-term product strategy.
• Evaluate architectural alternatives and drive decisions on technology selection, build-versus-buy, cloud services, AI adoption, and third-party integrations.
• Coordinate, prioritize, and assign work across software engineers while mentoring the team through architecture reviews, code reviews, technical coaching, and engineering best practices.
• Drive software architecture involving cloud services, APIs, databases, microservices, event-driven systems, AI/ML integration, and enterprise data platforms.
• Collaborate with systems, embedded software, hardware, and application software teams to integrate real-time operational data from connected devices into enterprise software platforms.
• Lead technical discussions with customers and strategic partners, translating operational challenges into innovative digital solutions.
• Ensure technical decisions align with customer value, business objectives, product strategy, and long-term platform success.
• Champion modern AI-assisted software development practices while establishing engineering guardrails, coding standards, and review processes that ensure enterprise-quality, secure, and maintainable software.
• Evaluate emerging technologies and AI development tools to improve engineering productivity while ensuring all software is validated through sound engineering practices, testing, and peer review.
• Foster a culture of engineering excellence through technical curiosity, continuous learning, thoughtful design reviews, knowledge sharing, and AI-enabled productivity.
• Support Agile planning, technical estimation, risk assessment, release planning, and continuous improvement initiatives.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• 10+ years of software development experience, including technical leadership of enterprise software projects.
• Demonstrated experience leading software engineering teams and coordinating technical execution across multiple concurrent projects.
• Proven ability to make sound engineering decisions involving architecture, technology selection, cost, schedule, risk, quality, and long-term maintainability.
• Strong experience designing enterprise software platforms using modern software architecture principles.
• Experience with Microsoft Azure or AWS cloud platforms.
• Strong understanding of distributed systems, REST APIs, microservices, event-driven architectures, and scalable data platforms.
• Experience with modern frontend technologies such as TypeScript and React.
• Experience developing backend software using technologies such as .NET, Java, Python, or Node.js.
• Experience with SQL and NoSQL databases.
• Experience integrating AI/ML capabilities into enterprise software platforms is highly desirable.
• Experience leveraging AI-assisted software development tools (such as Claude Code, GitHub Copilot, Codex, Cursor, or similar) while maintaining strong engineering discipline, architectural governance, and software quality.
• Excellent communication skills with the ability to collaborate effectively with Product Management, customers, and cross-functional engineering teams.
• Candidate must be willing to take and pass a drug screen, and background check
• Must be a U.S. Citizen holding no dual citizenships

Preferred Experience

• Industrial automation, mining, manufacturing, energy, or other industrial software and connected device environments.
• Predictive analytics, machine learning, computer vision, digital twins, or operational intelligence systems.
• Industrial automation, mining, manufacturing, energy, or other operational technology (OT) environments.
• OPC UA, MQTT, SCADA, historian systems, or industrial data integration.
• DevOps, CI/CD pipelines, Docker, Kubernetes, and cloud deployment technologies.