Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
Noir
DevOps Engineer - FinTech - Newcastle (Tech stack: DevOps Engineer, PowerShell, C#, Java, Python, Ansible, Terraform, Docker, Kubernetes, Docker Swarm, ELK, Grafana, CI/CD, TeamCity, SQLServer, Windows, Linux, Programmer, Developer, Architect, DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and … Grafana, or similar). Proven track record in building and maintaining CI/CD pipelines, preferably with TeamCity. Experience working with SQL databases, particularly MicrosoftSQL Server. Comfort managing both Windows and Linux environments. The ability to communicate clearly with colleagues and clients to resolve challenges and deliver solutions. Desirable (but not essential): Working More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
Nigel Wright Group
Experience with containerization (Docker) and orchestration (Kubernetes or Docker Swarm) Familiarity with monitoring tools like ELK, Grafana, or similar Experience with CI/CD tools like TeamCity MicrosoftSQLServer expertise Windows and Linux administration experience Strong communication skills for interacting with clients and team members Financial Services experience is a plus but not required More ❯
Tyneside, Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
Ronald James
where they can be applied. Some of the requirements: Experience with object-oriented programming in .NET and C#. Worked with Azure Familiar with Entity Framework, LINQ, and MSSQL Server. Experience with JavaScript/Typescript React & Node. Architectural expierence with microservices. More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
Norton Rose Fulbright LLP
data architectures (ideally Azure/Microsoft Fabric/Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQLServer, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions More ❯