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A 6-month contract Java Developer role in Cape Town (hybrid, not fully remote). The person develops and supports secure, scalable Java applications for critical business systems in an enterprise environment, working with AWS, Docker, Kubernetes, and auth standards like OAuth2, JWT, and SSO.
Hybrid 6-month contract in Cape Town developing and supporting secure, scalable Java applications that underpin critical systems for a large regulated South African institution. Core stack is Java with identity/access management (OAuth2, JWT, SSO), plus AWS, Docker/Kubernetes, CI/CD and exposure to Angular or React.
Senior SQL/Database Engineer responsible for SQL Server development, ETL via SSIS, and database performance tuning. The role involves managing Windows Domain environments and utilizing a wide range of data platforms including Oracle, Snowflake, and BI tools like Power BI and Tableau.
Reference: GTG007509-LR-1 To provide specialist high-level technical advice, high-level problem resolution of complex problems, system security, and policy implementation monitoring. Duties & Responsibilities…
Senior DevOps Engineer in Cape Town supporting and optimising cloud and hybrid infrastructure. Day-to-day work focuses on CI/CD automation and multi-environment deployments across cloud and on-premise platforms in a compliance-driven environment where reliability, scalability, and security are critical.
DevOps Engineer for a financial services enterprise in Cape Town: design and optimise CI/CD pipelines, automate infrastructure provisioning, and deploy workloads across AWS, Kubernetes, and on-premise environments, with strong emphasis on reliability, security, and compliance in a regulated setting. Core stack includes Azure DevOps, AWS, Kubernetes, Docker, and IaC.
The Java Developer provides high-level technical advice, resolves complex system problems, and implements security policies. The role focuses on backend development using Java 8/11, the Spring framework, and various database technologies.
Designs and maintains ETL/ELT pipelines in AWS (Glue, Lambda, Redshift) to move and transform data, plus supports ML environments and optimizes data warehouse performance.
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