4 of 4 Permanent AWS Fargate Jobs in Leeds

scale and optimise our cloud-based systems. Key Responsibilities: Design and maintain high-performance back-end systems using Clojure. Architect and deploy applications on AWS (ECS Fargate & CDK). Build and manage containerised applications with Docker. Develop scalable APIs and microservices to meet business needs. Optimise performance and … seamless solutions. Write clean, maintainable code and enforce best practices. What You Bring to the Role Strong back-end development skills, particularly in Clojure, AWS (ECS Fargate & CDK), and Docker. Experience in microservices architectures, database management using PostgreSQL and cloud infrastructure. Proficiency in writing clean, efficient, and testable More ❯

Technology, or a related technical field/experience. 7+ years of experience in Site Reliability Engineering, DevOps, Infrastructure, or related roles. Deep understanding of AWS and its various modules and services. Strong background in Linux administration and troubleshooting. Proven experience in implementing and managing CI/CD pipelines and … Infrastructure as Code (IAC) solutions. Proven experience in monitoring and observability tools to proactively manage system health. Skills and Strengths: AWS (Amazon Web Services) Auto Scaling Fargate Route53 Observability tools (New Relic, DataDog, Splunk) Containerization (Docker, Kubernetes, Fargate) Incident Response IaC (Terraform, CloudFormation, Helm, CDK) Scripting (Ansible … Bash, Python, GO) CI/CD Primary Job Responsibilities: Design and support EC2/ECS/EKS/Fargate environments for high availability and fault tolerance. Implement advanced AWS features (Route53, ALB/NLB, multi-region setups) to ensure global reliability. Maintain and optimize the existing CI/ More ❯

level knowledge of Databricks platform for logistics applications - Advanced Python development skills - Deep understanding of SQL optimization for large-scale operations - Proven experience with AWS technologies (EC2, Lambda, Fargate, ECS, CDK) - Strong background in streaming and batch Spark workloads What We're Offering: - Flexible working arrangements - Up to More ❯

of concept. Ensure performance, security, and scalability of data solutions. Key Requirements of the Data Solutions Lead: Expert in Databricks (experience with Databricks on AWS or Azure). Strong Python and SQL skills for logistics and delivery optimisation. Background in solution design and business engagement. Understanding of AWS (e.g., EC2, Lambda, Fargate) is beneficial. Degree in Computer Science, Engineering, or similar; Master’s preferred, with 8+ years in data engineering and leadership. Experienced in Spark workloads, data modelling, and pipeline optimisation. Skilled in mentoring, stakeholder communication, and technical documentation. Familiarity with security standards (e.g., NIST, PCI More ❯