This is a high-impact leadership role combining people management, technical ownership, and strategic influence. You will lead a team building mission-critical systems, shaping both architecture and engineering culture, while working closely with Product, Security, and Platform teams.
In this role, you will also help drive the adoption of AI-driven systems and workflows, enabling smarter, more scalable, and more efficient engineering and customer-facing solutions.
If you are a hands-on leader who thrives in complex, high-scale environments and knows how to build strong teams and scalable systems – this role is for you.
What You Will Own?
Lead, mentor, and grow a team of engineers, fostering a culture of ownership, accountability, and technical excellence.
Own end-to-end delivery of core platform components – from design to production and long-term scalability.
Drive development of cloud-native microservices in large-scale production environments.
Lead architecture discussions, design reviews, and code quality standards.
Help define and design AI-driven solutions, workflows, and systems tailored to customer and product needs.
Design and implement internal tools and automation, including AI-powered workflows, to improve scalability and reduce manual work.
Partner closely with Product, Security, and cross-functional teams to align execution with business goals.
Step into strategic or complex customer engagements when needed and help drive them to success.
Drive data-driven decision making, continuous improvement, and innovation across the team.
Lead Agile execution, planning, and predictable delivery across the SDLC.
Improve performance, scalability, reliability, and observability across the platform.
Contribute to long-term engineering strategy and roadmap.
Stay hands-on when needed – guiding design, debugging, and system optimization.
Requirements
3+ years of engineering leadership experience, managing teams in production environments.
7+ years of software engineering / architecture experience.
Proven experience building and scaling cloud-native SaaS applications.
Strong experience with AWS (or similar cloud platforms).
Hands-on experience with Kubernetes, Docker, OpenShift, and modern DevOps ecosystems.
Deep understanding of microservices architecture (HLD/LLD).
Strong understanding of SDLC, release processes, and bug lifecycle management.
Experience driving performance optimization (latency, memory, storage).
Ability to remain hands-on and technical when needed.
Strong ability to operate in ambiguous, high-impact environments with sound judgment.
Experience leading distributed teams and cross-functional collaboration.
Excellent communication skills and high ownership mindset.
B.Sc. in Computer Science or equivalent experience.
Nice to Have:
Experience building AI-driven systems, workflows, or internal platforms.
Background in security or infrastructure products.
Strong understanding of observability and production systems at scale.
Experience working in fast-scaling startup environments.
