Senior Software Engineer- Studio Web

UiPath5 days ago

Location

Bucharest

Type

Full Time

Salary

USD 140,000 – 180,000

Level

Senior

Role

Backend Engineer

Posted

Jul 14, 2026

Full TimeSenior

The role

Summary

Senior Software Engineer specializing in StudioWeb, UiPath's cloud-based automation platform serving 10,000+ monthly active users. You'll architect scalable backend services using C#, .NET 8, and cloud infrastructure while solving complex distributed systems challenges across Kubernetes and Azure environments. This role requires 6+ years of enterprise software development experience with strong fundamentals in object-oriented design, multithreading, and cloud architecture to drive technical decisions on a globally distributed team.

What you'll do

Design and Develop Scalable Backend Services: Design, build, and maintain efficient, reusable, and reliable code for StudioWeb's microservices architecture serving 10,000+ monthly active users. Architect system components that handle over 200,000 total projects while ensuring optimal performance and responsiveness across cloud infrastructure.

Optimize Performance and Reliability: Identify and eliminate performance bottlenecks through profiling and analysis. Monitor application metrics, optimize database queries, and improve system throughput. Ensure high availability and resilience through redundancy strategies and graceful degradation patterns.

Lead Technical Problem Solving: Devise and implement solutions to address production issues, scaling challenges, and architectural gaps. Conduct root cause analysis on complex distributed systems problems and mentor junior engineers on problem-solving methodologies and debugging techniques.

Drive System Architecture Decisions: Collaborate cross-functionally across UiPath to design system components and APIs that serve multiple product teams. Participate in architecture reviews, design patterns evaluation, and technology stack assessments to maintain architectural coherence and support business strategy.

Establish Engineering Excellence: Help establish and maintain effective agile engineering practices including code reviews, continuous integration pipelines, and automated testing frameworks. Champion code quality standards, refactoring initiatives, and knowledge documentation across the distributed team.

Mentor and Knowledge Sharing: Work with globally distributed teams on feature development and engineering roadmap planning. Share technical expertise through code reviews, technical discussions, and onboarding processes. Guide architectural decisions by balancing business requirements with technical feasibility.

Monitor and Maintain Code Quality: Implement and enforce code organization standards, automated testing coverage, and build automation. Establish monitoring and alerting for system health and performance metrics to catch issues before they impact users.

What we look for

Technical

Enterprise-Grade C# DevelopmentProficiency in C# and .NET ecosystem (minimum .NET 6+, ideally .NET 8) with deep understanding of the language's advanced features including LINQ, async/await patterns, and dependency injection frameworks.

Multithreading and Async ProgrammingExpert-level knowledge of concurrent programming concepts including Task Parallel Library (TPL), async/await patterns, synchronization primitives, and the ability to debug race conditions and deadlock scenarios.

Cloud Platform ArchitectureHands-on experience designing and deploying applications on Azure (primary), AWS, or GCP. Proficiency with containerization (Docker), orchestration (Kubernetes), managed services (App Service, AKS, Functions), and cloud-native patterns.

Distributed Systems DesignUnderstanding of microservices architecture, service communication patterns (REST, gRPC, message queues), eventual consistency principles, and distributed tracing/monitoring. Experience scaling systems to handle high concurrency and data throughput.

Data Structures and AlgorithmsDeep understanding of fundamental data structures (lists, vectors, stacks, heaps, hash tables, trees) and algorithms (sorting, searching, graph algorithms). Ability to analyze and optimize time and space complexity for production systems.

Object-Oriented Design PatternsStrong grasp of OOP principles and established design patterns (SOLID, Factory, Observer, Strategy, etc.). Experience refactoring codebases to improve maintainability and reduce technical debt.

Database Systems and Query OptimizationExperience with relational databases, query optimization, indexing strategies, and transaction management. Understanding of caching patterns and when to apply NoSQL or specialized databases for specific use cases.

Education

Bachelor's Degree in Computer Science or Related FieldFormal education in Computer Science, Software Engineering, or equivalent practical experience demonstrating deep computer science fundamentals.

Continuous Technical LearningDemonstrated commitment to staying current with evolving technologies, architectural patterns, and programming best practices through self-study, certifications, or community involvement.

Experience

6+ Years Enterprise Software DevelopmentMinimum 6 years of professional experience developing production software systems, with focus on backend services, distributed systems, or cloud platforms in enterprise environments.

Microservices and Scalable SystemsDemonstrated experience architecting, implementing, or maintaining systems that operate at significant scale (thousands of concurrent users, millions of transactions). Track record of solving real-world scaling and reliability challenges.

Team Leadership and Cross-Functional CollaborationExperience working with globally distributed engineering teams on feature planning, architectural design, and technical roadmap development. Proven ability to influence technical decisions and drive engineering standards.

Cloud Infrastructure OperationsHands-on experience deploying, managing, and troubleshooting applications on cloud platforms including CI/CD pipelines, monitoring/logging infrastructure, and infrastructure-as-code practices.

Skills

Required skills

C#Expert proficiency in modern C# (6.0+) with deep knowledge of language features, standard library, and .NET ecosystem. Ability to write idiomatic, maintainable code and mentor others.

.NET FrameworkProduction experience with .NET Core/.NET 5+ stack including ASP.NET Core for building high-performance web services and APIs.

Azure Cloud PlatformHands-on experience with Azure services including App Service, Azure Kubernetes Service (AKS), Azure DevOps, Azure SQL, and Azure Cosmos DB for building cloud-native applications.

KubernetesWorking knowledge of Kubernetes for container orchestration, including deployment strategies, scaling, networking, and troubleshooting in production environments.

Distributed Systems DesignUnderstanding of microservices patterns, service mesh concepts, API design (REST/gRPC), and techniques for maintaining consistency and reliability across services.

Async Programming PatternsExpert-level understanding of Task Parallel Library (TPL), async/await patterns, and concurrent programming to build highly responsive applications.

ElasticsearchProficiency with Elasticsearch for full-text search, logging, and analytics use cases in large-scale systems.

System Design and ArchitectureAbility to design scalable systems, conduct architecture reviews, and make technology trade-off decisions that balance performance, maintainability, and cost.

Code Quality and TestingExperience with unit testing frameworks, integration testing, test-driven development practices, and tools for measuring code coverage and quality metrics.

Performance OptimizationProficiency in profiling tools, identifying bottlenecks, and implementing optimizations for CPU, memory, and I/O-bound operations in production systems.

Nice to have

AWS ExperienceExperience with Amazon Web Services (EC2, ECS, Lambda, RDS, DynamoDB) to diversify cloud platform knowledge and improve architectural flexibility.

gRPC and Protocol BuffersHands-on experience with gRPC and protocol buffers for building efficient, polyglot service-to-service communication.

Message Queuing SystemsExperience with message brokers (Azure Service Bus, RabbitMQ, Kafka) for building asynchronous, event-driven architectures.

Observability and MonitoringFamiliarity with Application Insights, Datadog, Prometheus, or similar tools for building comprehensive monitoring, logging, and tracing infrastructure.

Robotics Process Automation DomainPrior exposure to RPA concepts, workflow automation, or UiPath products to accelerate domain knowledge and context.

SQL Query OptimizationAdvanced SQL skills including query optimization, execution plan analysis, and database design for high-throughput OLTP systems.

Container Orchestration Beyond KubernetesExperience with Docker Swarm, AWS ECS, or other container platforms to provide alternative perspective on distributed deployment strategies.

Infrastructure as CodeProficiency with tools like Terraform, Bicep, or CloudFormation for managing cloud infrastructure programmatically and enabling GitOps workflows.

Compensation & benefits

Salary

USD 140,000 – 180,000 (annual)

Stock options

Available

Benefits

Professional Development and Learning Opportunities

Access to advanced training programs, technical certifications, and conference attendance budgets to maintain cutting-edge expertise in cloud architecture, distributed systems, and .NET technologies.

Flexible Work Arrangements

Hybrid, remote, and office-based options based on team needs and role requirements, supporting work-life balance and location flexibility.

Comprehensive Health and Wellness Coverage

Medical, dental, and vision insurance with competitive premiums and wellness programs supporting physical and mental health.

Retirement Planning

401(k) matching programs and long-term financial planning support for building retirement security.

Generous Paid Time Off

Competitive vacation, sick leave, and paid holidays allowing for meaningful rest and personal time throughout the year.

Stock Options and Equity

Opportunity to participate in company growth through stock options or equity grants, aligning personal financial interests with company success.

Collaborative Engineering Culture

Mentorship programs, technical guild participation, and knowledge-sharing forums connecting with senior engineers and architects across the organization.

High-Impact Project Work

Exposure to cutting-edge technologies, large-scale distributed systems challenges, and strategic initiatives directly influencing product direction serving thousands of users.

Global Team Environment

Opportunity to collaborate with talented engineers across multiple regions and time zones, gaining diverse perspectives and technical approaches.

Diversity and Inclusion Initiatives

Commitment to equal opportunity workplace with structured diversity programs, employee resource groups, and inclusive hiring practices regardless of background or identity.

Interview process

1
Initial Screening and Resume Review — Recruiter reviews your background, technical experience, and qualifications against core requirements. Attention is given to depth of cloud platform experience, demonstrated scaling challenges tackled, and team leadership examples.
2
Technical Phone Screen — 30-45 minute conversation with a senior engineer covering C# fundamentals, .NET ecosystem knowledge, distributed systems concepts, and past experience solving real-world backend challenges. Expect discussions on system design decisions you've made.
3
Architecture and System Design Interview — Deep-dive technical interview focusing on your ability to architect scalable systems. You'll be asked to design a distributed service, discuss trade-offs in technology choices, and explain how you'd approach performance optimization for high-throughput scenarios.
4
Coding Challenge — Take-home or live coding exercise focused on practical C# problem-solving, algorithm efficiency, and code organization. May include async programming scenarios and multithreading considerations relevant to production systems.
5
Behavioral and Team Fit Discussion — Interview with potential team members or manager exploring collaboration style, experience with distributed teams, and approach to mentoring junior engineers. Emphasis on how you drive technical decisions and establish engineering standards.
6
Final Interview with Engineering Leadership — Interview with engineering manager or director discussing career goals, technical vision for the role, and how you'd contribute to StudioWeb's roadmap. This is also your opportunity to ask about technical direction and team culture.
7
Offer and Reference Checks — Contingent job offer extended, followed by reference checks and final background verification. Team will align on start date and any onboarding requirements related to cloud platform certifications or knowledge transfer.