Senior Principal Enterprise Software Engineer - SW Tech

A Day in the Life

Must Have

• Responsibilities may include the following and other duties may be assigned
• Collaborating with leadership and technical teams to align on the software and IoT roadmap. Review project status, assess risks, and prioritize initiatives around microservices architecture and enterprise software solutions.
• Lead or participate in architecture review sessions, to ensure compliance with microservices design principles, system scalability, and best practices for cloud-native environments.
• Collaborate with product and engineering teams to refine system architectures, focusing on modularity, fault tolerance, and performance optimization.
• Lead efforts to enhance software quality through rigorous code reviews, testing strategies, and compliance with security standards, maintaining the highest level of software quality.
• Present updates on progress, architecture decisions, and strategic roadmaps to internal and external stakeholders, ensuring alignment with long-term business goals.
• Drive continuous improvement initiatives, assessing software maturity levels and implementing best practices to elevate product quality.
• Lead the design and development of enterprise-scale microservices architectures to support highly scalable and distributed systems.
• Drive the adoption of IoT solutions within enterprise systems, ensuring secure integration of edge devices, data streaming, and real-time analytics.
• Own cloud-native architecture strategies, ensuring system scalability, reliability, and fault tolerance through the use of containers, orchestration platforms, and serverless technologies.
• Champion software engineering best practices including CI/CD, API management, and automated testing to ensure high-quality code and efficient delivery pipelines.
• Lead technical reviews for software systems, ensuring alignment with microservices architecture, IoT frameworks, and enterprise-grade security practices.
• Ensure architecture governance by overseeing technical roadmaps, architecture compliance, and adherence to industry standards.
• Conduct technical feasibility studies, evaluating emerging technologies and their potential to add value to our clients enterprise solutions.
• Drive improvements in software maturity, implementing methodologies such as Design for Reliability and Manufacturability (DRM) to optimize the quality and efficiency of enterprise software.
• Reports to the Director of Software Technology
• Collaborates with cross-functional teams (business analysts, developers, end-users) to understand requirements and deliver solutions.

Required Knowledge and Experience

• B-Tech/BE in Computer Science, Electronics, or related field with 20+ years of experience in Software and Systems Engineering, OR
• ME/M-Tech with 18+ years of relevant experience.
• Proven track record of leading the design and implementation of enterprise-level microservices architectures and distributed systems.
• Extensive experience in IoT platforms and solutions, including device integration, data streaming, and cloud-based IoT services.
• Strong understanding of cloud-native architecture principles, containerization (Kubernetes, Docker), and cloud platforms (AWS, Azure, GCP).
• Deep knowledge of API management, event-driven architectures, and real-time data processing for scalable and responsive enterprise systems.
• Expertise in implementing DevOps methodologies, CI/CD pipelines, and automated testing frameworks.
• Experience conducting technical reviews and guiding architectural decisions, with a focus on scalability, performance, and maintainability.
• Preferred to have experience in edge computing and managing distributed systems that span both cloud and edge environments.
• Preferred to have knowledge of serverless architecture and orchestration tools for microservices, such as Istio or Linkerd.
• Preferred to have Certifications in cloud platforms like AWS, Azure, or Google Cloud, particularly in areas related to IoT and microservices.
• Preferred to have experience with real-time data streaming and message brokering technologies like Kafka or RabbitMQ.
• Preferred to have previous experience in industries such as manufacturing, automotive, or healthcare, where IoT and enterprise software play a critical role.