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Quality Assurance Engineer
Project description
Project is a strategic automation and operational resilience initiative that focuses on scaling the capabilities of an internally built AWS-based platform designed to automate operational checks, manual processes, and Excel-based end-user developed applications (EUDAs).
Project aims to materially reduce significant operational risks and reliance on manual controls by onboarding high‑risk and high‑volume operational processes into an internal platform and increasing automation levels across the operational landscape.
Responsibilities
- Collaborate closely with Operations, Technology, and Business stakeholders to understand operational processes, risks, and control requirements
- Build and maintain a comprehensive inventory of manual processes, EUDAs, and operational checks, including linkage to key controls
- Design, develop, test, and deploy automated checks and processes
- Increase automation coverage across operational checklists, manual processes, and EUDAs, reducing manual effort and human error
- Integrate monitoring, alerting, and scheduling solutions (e.g. Control‑M, Geneos, Datadog) into automated workflows
- Contribute to the delivery of Health Dashboards, providing real‑time operational resilience insights for senior stakeholders
- Work within an agile delivery framework, contributing to sprint planning, backlog refinement, demos, and continuous improvement
- Ensure solutions meet security, resilience, and SDLC standards, with appropriate documentation and version control.
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Skills
Must have
- Experience with Python or Java for automation.
- Familiarity with AWS services (Lambda, S3, APIs).
- Understanding of scheduling/orchestration tools (e.g., Control-M or similar).
- Experience integrating systems and working with APIs and data pipelines.
- Strong analytical mindset with ability to understand business processes.
- Comfort working in agile / SDLC environments.
- Experience with Infrastructure as Code (IaC) tools such as Terraform.
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Nice to have
- Experience in financial services or regulated environments, with exposure to operational risk and control frameworks
- Knowledge of operational resilience concepts, including controls, audits, and evidence automation
- Experience delivering service or business health dashboards for senior stakeholders
- Familiarity with observability, monitoring, and alerting best practices (SRE or production support)
- Experience modernising manual or Excel‑based (EUDA) processes into governed automation platforms
Languages
- English: C1 Advanced
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