Future Tech Jobs
Future Tech Jobs
This role involves designing and implementing data pipelines, optimizing SQL queries, and working with big data processing platforms like Spark and Databricks. You will contribute to cloud data platforms on Azure, AWS, or GCP, with a focus on data engineering and data modeling.
This role involves building and managing CI/CD pipelines, developing scalable cloud-based platforms, and embedding security and automation practices in a high-impact environment. You will work in Agile teams with end-to-end ownership, focusing on secure-by-design principles.
This role involves designing, developing, and maintaining software applications using .NET/C# and Azure Functions, with a focus on writing clean and secure code. The engineer will collaborate with cross-functional teams, support legacy systems, and contribute to application performance optimisation. Working within Agile practices, the position also includes participation in code reviews and continuous integration processes.
As an Infrastructure Engineer, you will design, implement, and maintain server, network, and storage solutions, ensuring reliability, scalability, and security. You'll provide 3rd line support, manage cloud and hybrid environments, lead infrastructure migrations, and build strong client relationships by understanding their needs and providing tailored solutions.
Security Clearance: All candidates must already hold DV and eligible for eDV ***Copello have partnered with a leading Defence client in their search for a Senior DevOps Engineer. In this role you will be deploying applications and software to cloud...
This role involves building and maintaining CI/CD pipelines, designing and deploying Azure cloud infrastructure, and driving automation and continuous improvement initiatives. You will collaborate with cross-functional teams to ensure high standards of security, reliability, and performance.
This role involves designing and maintaining CI/CD pipelines and automating infrastructure across AWS and Azure in a secure DevSecOps environment. The engineer will work with Kubernetes, Docker, and AI/ML integration while operating in air-gapped and restricted access environments. The position combines technical leadership with hands-on delivery to support platform modernisation and maturity uplift.
This role involves building, operating, and improving a shared Kubernetes platform on Azure, focusing on infrastructure as code, CI/CD, observability, and platform reliability. You will work closely with architects and engineering teams to maintain high standards in automation, security, and operational excellence.
As a Senior Platform Engineer, you will be responsible for designing and maintaining the cloud infrastructure and CI/CD pipelines that support our AI-driven products. You will work closely with the AI Engineering team to ensure reliability, scalability, and security, while implementing and improving monitoring and operational controls for AI/ML systems.
The Cloud Engineer will lead platform change initiatives, modernize the cloud estate, and support hybrid infrastructure environments. Key responsibilities include managing Azure subscriptions, implementing infrastructure-as-code, and migrating workloads from on-premise to cloud platforms.
Design and develop enterprise-scale data pipelines and cloud-native data solutions on AWS and Azure, integrating data from multiple sources using Informatica, Spark, and modern DevOps practices. Work within Agile teams to deliver secure, scalable data platforms, particularly in regulated environments. Support CI/CD, infrastructure as code, and data quality initiatives across large datasets.
This role involves owning and managing MySQL environments, designing and optimizing database architecture, implementing high availability solutions, and collaborating with development, infrastructure, and security teams. You will have the opportunity to work with modern and legacy technologies in a supportive, collaborative tech environment.
This role involves owning and managing MySQL environments, designing and optimizing database architecture, implementing high availability solutions, and collaborating with development, infrastructure, and security teams. You will also handle backup, recovery, and disaster planning, and contribute to documentation and best practices.
This role involves building and maintaining scalable data pipelines using Python and PySpark within a modern cloud-based environment on Azure, with a transition to Databricks Lakehouse architecture. The engineer will collaborate with cross-functional teams including QA and machine learning, contribute to CI/CD and DevOps practices, and support the evolution of data engineering standards. It offers early-career professionals hands-on experience in a growing data platform team with exposure to advanced analytics and structured development.
This role involves leading large-scale cloud and infrastructure transformation initiatives across Microsoft Azure and on-prem environments. The engineer will review and implement technical recommendations from external consultants, drive cloud migration projects, and ensure solutions are scalable, secure, and aligned with business goals. The position offers autonomy and influence over technical decisions within a modernisation programme.
