AND Digital

Build and maintain Java-based server-side microservices and APIs for client technology projects. This eight-month contract role combines backend development with cloud-native delivery, infrastructure automation, and production operations.

Integration Engineer responsible for designing and implementing system integrations, event mechanisms, and interoperable services. This is an 8-month fixed-term contract focused on practical delivery, operational support, and collaboration with clients and multidisciplinary teams.

AND is seeking a Senior DevOps Engineer for an 8-month fixed-term contract to support large-scale client software projects. The role focuses on infrastructure, delivery environments, automation, monitoring, and mentoring engineers across development and operations.

Senior DevOps Engineer responsible for building and maintaining infrastructure, environments, deployment pipelines, and operational tooling across large-scale client software projects. This role is an 8-month fixed-term contract with a strong focus on Terraform, cloud platforms, automation, monitoring, and mentoring engineers.

Lead solution architecture for complex digital initiatives, translating business and technical needs into scalable enterprise solutions while supporting clients and development teams. This is an eight-month fixed-term consulting role in London with hands-on design, migration, and coaching responsibilities.

Lead a two-month mobile architecture engagement, evaluating React Native against native and cross-platform options and delivering a validated technical direction. You’ll produce a proof of concept, define the target architecture, and create a prioritized implementation backlog.

Join a Birmingham-based contractor network as an experienced Data Engineer developing data pipelines and enabling insight and data science applications. The role requires hands-on expertise with Python, SQL, Snowflake, Azure Databricks, and cloud data technologies.

Build and operate production machine learning systems, from high-volume data pipelines and real-time services to continuous retraining and observability. The role combines deep ML engineering with cloud deployment and emerging generative AI tooling.