2 of 2 Part-Time AWS Fargate Jobs in the UK

2x per week maximum onsite) Were looking for a Lead Engineer (Contract) to drive the development of scalable, secure, and high-performance cloud-native applications using .NET 8 and AWS . This is a hands-on leadership role, ideal for someone who thrives in a microservices-driven environment , mentors teams effectively, and brings deep technical expertise across design, architecture … and cloud platforms. Key Responsibilities Lead a development team, ensuring technical excellence and adherence to best practices Architect and build cloud-native applications using .NET 8, AWS, Docker, and Terraform Design and implement secure authentication and authorisation systems (OAuth, OIDC) using tools such as Okta, Auth0, Passport, or IdentityServer Promote and implement CI/CD , TDD , and DevOps methodologies … delivery Collaborate closely with architects, product managers, and stakeholders to shape technical strategy Solve complex engineering challenges to enhance scalability, resilience, and performance Technical Stack Backend: .NET 8, C#, AWS Lambda, ECS Fargate, EKS Databases: DynamoDB, Aurora, DocumentDB (MongoDB experience a bonus) Auth/Identity: OAuth, OIDC, Okta, Auth0, Passport, IdentityServer DevOps & Infrastructure: Terraform, GitHub Actions, Docker Event More ❯

including system diagrams, data flow, and API specifications. Ensure application security, performance, and scalability. Collaborate with cross-functional teams, including designers, testers, and DevOps engineers. Work with cloud platforms AWS, for deployment and monitoring. Follow Agile methodologies (Scrum/Kanban) and participate in sprint planning. Your Profile Essential skills/knowledge/experience: Experience with advanced Python concepts like … guidance. Demonstrated ability to work independently and as part of a cross-functional team. Cost-Effective & Resource Optimization. Security & Authentication API Gateway & Load Balancing. CI/CD & DevOps Integration. AWS (ECS, fargate , EC2, SNS, SQS, Cloudwatch, EKS, Kubernetes). Desirable skills/knowledge/experience: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn. Knowledge of More ❯