Engineering Lead

Our customer is a leading organization undergoing digital transformation, specializing in implementing advanced AI solutions across their business operations. They're committed to leveraging cutting-edge technology to drive innovation and efficiency.

We are hiring a high-caliber Engineering Lead who thrives on designing cloud-native, distributed systems and driving hands-on engineering excellence.

In this role, you will architect, code, and lead complex solutions using the latest technologies, including .NET Core, Angular, SQL, Azure Cloud, and Microservices/Micro-frontend architectures.

You will collaborate closely with product, DevOps, and architecture teams to deliver highly scalable, secure, and performant systems.

You'll be joining a collaborative team of Software and DevOps engineers, data scientists, and ML engineers focused on creating and maintaining the infrastructure that powers the organization's AI solutions. The team values innovation, technical excellence, and continuous improvement in delivering secure, efficient, and scalable AI systems.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

• Lead the architecture, design, and development of enterprise-grade, cloud-native applications using .NET Core, C#, Angular, SQL and Azure services.
• Design and implement scalable, secure, and resilient Microservices and Micro-frontend architectures.
• Build distributed systems with Azure services (App Services, AKS, Functions, Cosmos DB, SQL Server) and drive DevOps automation using Kubernetes and Infrastructure as Code.
• Define CI/CD pipelines, branching strategies, and release workflows using Azure DevOps and Git for version control.
• Conduct detailed code reviews to enforce best practices in coding standards, with a focus on Unit Testing and Test-Driven Development (TDD).
• Continuously optimize application performance, security, and scalability across cloud environments.
• Implement modern engineering principles such as Domain-Driven Design (DDD), Event-Driven Architecture (EDA).
• Foster a high-performance development culture using Agile/Scrum methodologies, ensuring the team delivers features iteratively and with high quality.
• Mentor and coach engineers on coding standards, cloud-native development, DevOps practices, scalable system design, and testing methodologies.
• Research, evaluate, and recommend new technologies, tools, and frameworks to enhance product quality, team productivity, and process improvement.

• 8+ years of experience in enterprise-grade application development, with a strong focus on .NET Core, C#, Angular, Azure cloud services, and SQL.
• Proven experience in designing and implementing Microservices and Micro-frontend architectures.
• Seeking expertise in building distributed systems with Azure services and experience in containerization, Kubernetes, and Infrastructure as Code.
• In-depth knowledge of CI/CD pipelines and Git for version control, with hands-on experience in automating deployment workflows using Azure DevOps.
• Strong experience in Unit Testing and Test-Driven Development (TDD), with a solid understanding of writing testable, high-quality, maintainable code.
• Solid understanding and experience in Agile/Scrum methodologies, ensuring iterative, high-quality delivery of software features.
• Strong ability to lead engineering teams, enforce best practices in coding standards, and mentor junior engineers on cloud-native development and DevOps practices.
• Ability to drive technical decisions, balance trade-offs between short-term and long-term goals, and guide the technical direction of the team.
• Strong problem-solving, analytical, and debugging skills to address performance and scalability challenges in large-scale cloud applications.
• Familiarity with modern engineering principles such as Domain-Driven Design (DDD) and Event-Driven Architecture (EDA).