Role – Sr Tech Lead – Software Engineering & AI
Location – Houston, TX – Hybrid (Only Lead Profiles)
This role is accountable for leading the design, development, deployment, and ongoing operation of production-grade digital products that combine strong software engineering foundations with applied AI and GenAI capabilities. The role carries a balanced 50:50 focus: driving modern software engineering practices across architecture, APIs, platforms, cloud-native delivery, reliability, and security, while also shaping the practical use of machine learning, GenAI, RAG, and intelligent automation to solve business problems across multiple lines of business. The successful candidate will be responsible for delivering scalable, maintainable, and governed solutions that meet Shell quality standards and can be operated confidently in production.
Professional Qualifications & Skills
Educational Qualification
Bachelor's, Master's, or PhD degree in Computer Science, Software Engineering, Engineering, Data Science, Machine Learning, or a related technical discipline.
Minimum 8+ years of industry experience, including significant hands-on delivery across both software engineering and AI/ML-enabled product development.
Required Skills
• Strong experience delivering production-grade digital products with a balanced focus on modern software engineering and applied AI/GenAI.
• 8+ years of development experience across relevant languages, frameworks, and tooling such as Python, Java, JavaScript/TypeScript, JVM-based technologies, APIs, event-driven systems, and cloud-native platforms.
• Strong software engineering fundamentals including system design, clean code practices, testing strategies, code reviews, version control, and maintainable architecture.
• Hands-on experience building, deploying, and monitoring applications on Kubernetes and related cloud-native infrastructure.
• Experience designing and operating scalable services, APIs, microservices, or platform components with strong attention to reliability, performance, and security.
• Practical experience designing, developing, deploying, and monitoring machine learning and GenAI | Software Design, Software Engineering Management, Software Engineering Process
Thanks
Yogesh Sharma K,
Reveille Technologies, Inc
yogesh@reveilletechnologies.com
