What you'll be doing

Lead the architecture and technical direction of complex backend and cloud-native services across the UiPath platform.
Design scalable, secure, reliable, and high-performing distributed systems across cloud, on-premises, and hybrid environments.
Partner with engineering leaders, architects, product managers, and cross-functional teams to shape technical solutions for high-impact product and platform areas.
Drive technical planning and roadmap input for complex services, platform capabilities, or cross-team initiatives.
Identify long-term scalability, reliability, security, performance, and cost challenges, and lead the design of sustainable solutions.
Set high standards for system design, code quality, testing, observability, automation, incident management, and engineering excellence.
Mentor and guide engineers through design reviews, technical discussions, architecture decisions, and hands-on technical feedback.

Requirements

7+ years of software engineering experience, with strong backend and cloud development experience.
Hands-on experience with one or more modern programming languages such as C#, Java, Python, or Go.
Strong experience designing and building distributed systems, microservices, APIs, and cloud-native architectures.
Proven ability to influence technical direction and drive architecture decisions across teams.
Experience building and operating production-grade services in cloud environments such as Azure, AWS, or GCP.
Good knowledge of containers, Kubernetes, CI/CD, monitoring, logging, observability, and production operations.
Strong understanding of system design, data structures, algorithms, multithreading, asynchronous programming, and performance optimization.
Experience with relational and/or NoSQL databases, messaging systems, event-driven architectures, or high-scale data processing.
Ability to balance customer experience, reliability, security, scalability, and cloud cost when making technical decisions.
Strong technical leadership, ownership, and communication skills, with the ability to guide teams through ambiguity.

Interest in automation, AI, developer platforms, enterprise software, or large-scale cloud systems.