At a Glance
- Tasks: Automate operational processes and enhance resilience through innovative technology solutions.
- Company: Join a forward-thinking company focused on operational excellence and automation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement and agile methodologies.
- Why this job: Make a real difference by reducing risks and improving efficiency in operations.
- Qualifications: Experience with Python or Java, AWS services, and a strong analytical mindset.
The predicted salary is between 60000 - 80000 £ per year.
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). The 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.
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.
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.
We think you need these skills to ace Quality Assurance Engineer
Python
Java
AWS Services
Control-M
APIs
Data Pipelines
Analytical Mindset
