DevOps Engineer – Data Protection Services

Summary

The DevOps Engineer will support data security services through automation, platform maintenance, and cloud management within a financial services environment. The role involves collaborating with squads to implement observability solutions and secure AI development lifecycles using tools like Azure, Terraform, and Ansible.

  • 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:

  • Networking: network configuration and debugging
  • Cloud: Azure Dev/DevOps, Public Cloud management
  • Security Practices: Knowledge of critical cyber security controls
  • AI 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 rotation

Would Be Nice:

  • Orchestration: Ansible, Terraform, Cloudify, other IaC
  • Agile: Jira
  • Products: BigID, Securiti

Professional 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.

See also

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