Summary
✨ AI‑Generated
Support and improve enterprise DevOps services through automation, tooling, monitoring, and operational engineering. The role involves collaboration with technical teams to enhance secure and reliable platforms.
Highlights
Opportunity to work on security-focused infrastructure, automation initiatives, and global technology operations.
Description
Perform engineering and operational activities supporting data security services, including service delivery, task automation, DevOps activities, and participation in an on-call rota.Onboard new DevOps tools and maintain existing platforms to address business requirements and ensure effective integration with the Firm’s technology ecosystem.Collaborate with the Data Discovery Squad and broader Technology stakeholders to enhance services through automation, scripting, and effective observability solutions.Participate in design and code reviews across the Data Discovery Squad and relevant stakeholder groups.Contribute actively to the team’s Agile operating model, ceremonies, and delivery practices.Facilitate knowledge sharing across global Data Protection squads and chapters through clear documentation, presentations, and internal communications.The position also provides opportunities to:Broaden technical expertise through challenging engineering initiatives and the application of emerging technologies, including cloud data governance, with access to specialists across the Firm.Develop a deeper understanding of the financial services industry through engagement with business stakeholders and participation in relevant industry activities and events.Contribute within an open and inclusive environment in which informed perspectives and meaningful contributions are encouraged.What we’re looking for:
Must have:
Scripting: Python, Linux ShellDevOps: Git, Jenkins Pipeline, Test AutomationOrchestration: Docker, KubernetesOS: Linux (in-depth), WindowsNetworking: network configuration and debuggingCloud: Azure Dev/DevOps, Public Cloud managementSecurity Practices: Knowledge of critical cyber security controlsAI Software Development Lifecycle (AI SDLC): Working knowledge of the secure and governed use of artificial intelligence across requirements, design, development, testing, deployment, monitoring, and continuous improvement, including appropriate human oversight.Willing to work in on-call rotationWould Be Nice:
Cloud: M365, AWS, etc.Orchestration: Ansible, Terraform, Cloudify, other IaCSRE: Flux, Grafana, SplunkAgile: JiraProducts: BigID, SecuritiProfessional Skills
Demonstrated experience working effectively within Agile delivery teams.Proven experience integrating products into enterprise environments, including the deployment and integration of open-source products and tools using DevOps methodologies.Working knowledge of IT Service Management principles and ITIL practices.Ability to acquire and apply knowledge of proprietary technologies within a complex, regulated environment.A self-directed approach, supported by demonstrable experience in the technical and application support of enterprise systems.Excellent written and verbal communication skills, together with a professional and collaborative working style.A strong automation and orchestration mindset, with a focus on reducing manual processes and enabling product squads to devote greater capacity to engineering activities.