3 of 3 AWS Certified Solutions Architect Jobs in West Yorkshire

designing, implementing, and The Cloud Infrastructure Engineer is an experienced individual contributor responsible for designing, implementing, and operating secure, scalable, and highly available AWS infrastructure supporting a production-grade, multi-account B2B SaaS platform in the financial services industry. This role is critical to maintaining platform resilience, security, automation … maturity, and operational excellence across production and non-production environments. The engineer operates with moderate autonomy, owning defined areas of the AWS environment while contributing to infrastructure standards, reliability engineering, and security best practices. Responsibilities Design, build, and maintain AWS infrastructure across production and non-production environments Support ...

provides a range of proactive services to assist clients with managing their estate and software procurement.Success. The Softcat Way. Softcat is a 1billion+ technology solutions business and trusted partner to names like Apple, Microsoft and Adobe. Offering a growing portfolio of services including software licensing, cyber security … visibility and optimisation, ensuring that insights reach the right stakeholders on the client side.· Providing break/fix support around industry-leading cloud management solutions and leveraging the ticketing system (ServiceNow).· Continuously improving FinOps processes and practices, including identifying areas for improvement, implementing best practices, and staying current ...

difference while always putting people first. We’re a team of creators. We write code, shape delivery, build go‐to‐market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them … delivery of single or multiple client and internal project teams, acting as either a technical lead or a solo contributor. AI‐Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval ...