Lead Architect

Job Summary

We are seeking a Principal Software Engineer who combines deep software engineering expertise with the ability to influence technology strategy across the organization. This role balances hands-on technical contribution with architectural leadership, enabling you to shape the future of our cloud and AI-powered platforms while collaborating with engineering, product, and business leaders.

You will help define technical direction, drive innovation, and accelerate the adoption of modern cloud and AI technologies while remaining actively involved in the design and delivery of production-grade software solutions.

What You'll Do

Software Engineering (50%)

• Design, develop, and maintain scalable, secure, and reliable production-grade software solutions.
• Build and operate cloud-native services and SaaS platforms that serve customers at scale.
• Apply AI technologies, large language models (LLMs), intelligent automation, and emerging technologies to solve business and engineering challenges.
• Participate in architecture reviews, design discussions, code reviews, and quality initiatives.

Technical Leadership & Advocacy (50%)

• Define and communicate technical vision, architecture strategy, and engineering best practices.
• Create reference architectures, technical designs, and executive-ready presentations.
• Lead technical discussions across engineering, product, and leadership teams.
• Drive innovation by evaluating emerging technologies and identifying opportunities for adoption.
• Mentor engineers, facilitate knowledge sharing, and help raise the technical bar across the organization.
• Represent engineering through architecture reviews, demos, technical forums, and strategic initiatives.

Job Requirements

• What You'll Bring
• 10+ years of professional software engineering experience, including designing and delivering large-scale distributed systems.
• 7+ years of experience building, deploying, and operating SaaS applications in public cloud environments (AWS, Azure, or GCP).
• Strong expertise in cloud-native architectures, microservices, APIs, distributed systems, and modern software development practices.
• Experience developing scalable applications using languages such as Java, Go, Python, C#, JavaScript, or TypeScript. Node.js experience is a plus.
• Familiarity with AI technologies, generative AI, LLMs, agentic frameworks, intelligent automation, and AI-powered application development.
• Proven ability to influence technical decisions, drive architectural alignment, and collaborate effectively across teams and organizational boundaries.
• Excellent communication and presentation skills with the ability to engage both technical and executive audiences.
• Passion for mentoring others, continuous learning, innovation, and delivering customer-focused outcomes.
• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical experience .
• Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Data Science, or a related field is a plus but not required.