Talent Smart

DevOps Engineer (Containerisation / Kubernetes) Sheffield (3 days per week onsite) Contract We re working with a leading financial services client to hire a DevOps Engineer with a strong focus on Containerisation and Kubernetes security. This role will play a key part in advancing secure container adoption across a large-scale enterprise environment. Key Responsibilities Support and enhance the container security programme, defining standards and best practices Provide hands-on expertise and guidance on Kubernetes and container security Integrate security tools into container lifecycles to identify risks early in development Conduct security assessments across container platforms, pipelines, and workloads Implement observability and monitoring to detect vulnerabilities and security risks Collaborate with engineering, security, and risk teams to strengthen DevSecOps practices Support incident response and SOC activities related to container environments Ensure compliance with industry security standards (e.g. NIST, CIS, PCI-DSS) Key Requirements Strong experience with Kubernetes and container platforms (essential) Hands-on experience across cloud environments (AWS, GCP, Azure) Proven background in DevOps / DevSecOps, including CI/CD pipeline integration Experience with automation tools (Terraform, CloudFormation, Helm) Knowledge of container security tooling (e.g. scanners, CNAPP) Programming experience (e.g. Python or Java) Solid understanding of security principles within containerised environments Strong communication and stakeholder engagement skills This is an excellent opportunity to work at scale, driving secure container and Kubernetes practices within a complex, enterprise setting.

Data Anonymisation Specialist We are looking for a Data Anonymisation Specialist to join a financial services client based in Sheffield. The team are looking to hire a data anonymisation specialist who can be an integral part of helping the business to manage and mitigate any risks associated with third-party data sharing, across several short, medium and long-term planned activities. The Role We are specifically looking for someone with experience in supporting data anonymisation processes and an understanding of data types, structures and schemas. Applying your skills while considering the importance and impact of data security as a whole in a highly regulated environment is crucial. This is a great opportunity to be part of a developing service where your input is valued and can help drive its maturity and efficiencies for the future. Key Responsibilities: Advise application teams on Creation of data dictionaries Identifying sensitive data Define suitable anonymisation approaches Assign column level masking algorithms Operate the data masking service Support the data masking service Working with software vendor support and consultation services Some out-of-hours work supporting the masking service is required Experienced required: Proven experience with Structured data Data anonymisation analysis Data masking techniques Experience working with masking technology platforms Technical troubleshooting Working with stakeholders and building relationships Excellent verbal and written communication skills Immediate start (within 4 weeks) Desirable: Experience with writing and supporting Python code Experience with Delphix data masking or similar tooling Experience working in Azure or other cloud environment Experience in Financial Services or similar regulated sectors More details available on successful application.