Full Stack Development Lead (React & C# .NET Core) (m/k/n)

About the Role

We are seeking a highly accomplished Full Stack Development Lead with over 15 years of software engineering experience and deep technical expertise across React, C# .NET Core, Python (pyspark), and Power BI. This is a senior leadership role responsible for driving solution architecture, technical strategy, and full stack development within a dynamic capital markets environment. Experience in credit risk and market risk domains, as well as modern engineering practices such as microservices, event driven architectures, and CI/CD automation, is essential.This role blends hands-on engineering with team leadership, technical governance, and stakeholder engagement across risk, data, and product functions.

Codzienne zadania

• Lead the design, development, and delivery of complex full-stack solutions using React and C# .NET Core.      
• Own the architectural direction for microservices, APIs, cloud deployments, and event-driven systems.
• Provide technical leadership in Python (pyspark)-based data pipelines and Power BI reporting solutions.
• Drive engineering standards, coding best practices, architectural patterns, and documentation culture.
• Oversee solution design reviews, performance optimizations, and technical decision-making across teams.
• Lead, mentor, and upskill a team of full stack developers, data engineers, and BI developers.      
• Foster a high-performance engineering culture focused on quality, automation, and innovation.
• Partner with product owners, risk SMEs, and data teams to define technical roadmaps and delivery strategies.
• Manage delivery timelines, sprint planning, workload allocation, and cross-team collaboration.
• Ensure adherence to Agile/Scrum practices and continuous improvement initiatives.
• Design and develop scalable user interfaces with React and TypeScript.      
• Build and maintain backend services, APIs, and microservices using C# .NET Core.
• Oversee development of Power BI dashboards, semantic models, and enterprise grade data visualizations.
• Architect and implement pyspark based workflows for risk analytics, data quality, and pipeline automation.
• Maintain robust CI/CD pipelines across build, test, deployment, and monitoring layers.
• Contribute to cloud engineering initiatives (Azure preferred), including containerization and orchestration.

Required Skills & ExperienceCore Technical Expertise

• 15+ years in software engineering with at least 5+ years in technical leadership or engineering lead roles.
• React / Front-end:Advanced knowledge of React, TypeScript, state management patterns, component architecture.
• C# .NET Core / Backend:Deep expertise in C#, API design, microservices, distributed architectures.
• Python (pyspark):Experience building scalable distributed data pipelines and integrating with analytics platforms.
• Power BI:Strong hands-on experience with dashboard development, data modelling, DAX, governance, and performance tuning.
• Architecture:Proven ability to design microservices, event-driven solutions, and cloud-native systems.
• DevOps / CI/CD:Strong knowledge of automated pipelines, build and release engineering, and deployment strategies.
• Cloud Expertise:Azure/AWS experience, preferably Azure (App Services, Functions, Storage, Event Hub, DevOps, Databricks).
• Databases:Strong SQL, data modeling, and performance optimization experience across relational and NoSQL stores.
• Containers:Hands-on experience with Docker, Kubernetes, and container orchestration.

Domain Knowledge

• Strong understanding of capital markets, particularly:o
• Credit risk: PD, LGD, EAD, counterparty exposure, credit decisioning.o
• Market risk: VaR, sensitivity measures, stress testing methodologies.
• Familiarity with regulatory frameworks (Basel III, FRTB, IFRS9) is highly desirable.

Leadership & Soft Skills

• Strong people leadership, mentoring, and team development capabilities.
• Excellent communication and stakeholder interaction skills across tech, risk, and business groups.
• Proven ability to make sound architectural and technology decisions.
• Strong problem-solving, analytical thinking, and delivery management.
• Ability to balance hands on engineering with strategic leadership responsibilities.

Must have

• React
• TypeScript
• C#
• .NET Core
• API
• Microservices
• Python
• Data pipelines
• Analytics platform
• Data modelling
• DAX
• Performance tuning
• DevOps
• Cloud
• AWS
• Storage
• Databricks
• SQL
• Azure
• Data modeling
• NoSQL
• Docker
• Kubernetes
• Testing