Why Join
Imagine shaping the future of digital banking. You’ll build intelligent systems that proactively solve problems, improve customer experiences, and protect our platform. This role allows you to leverage cutting-edge technologies like Machine Learning and Observability to drive real impact. You’ll be at the forefront of innovation within a stable and respected financial institution.
How You Succeed
You’ll succeed by embracing a proactive, data-driven approach. Focus on building strong relationships with diverse teams – Command Centre, infrastructure, cybersecurity, and application developers. Prioritise automating incident resolution and reducing operational noise. Continuously refine your models and systems to improve accuracy and deliver measurable results for the bank.
What You Do
- Design and implement AIOps solutions to proactively detect, correlate, and resolve incidents across complex banking systems.
- Develop observability frameworks using tools like AppDynamics, Dynatrace, ELK, Prometheus or Open Telemetry to monitor core banking, payments, and digital channels.
- Apply machine learning models for anomaly detection, predictive maintenance, and capacity forecasting.
- Integrate AIOps platforms with Observability and event management systems to streamline incident workflows.
- Collaborate with infrastructure and application teams to ensure secure and compliant monitoring practices.
- Build dashboards and automated alerting systems to support 24/7 operations and reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR).
- Familiar with AIOps platforms such as Moog soft, Big Panda, Elastic or IBM Watson AIOps tailored for financial services.
Who You Work With
Global Operations & Technology co-creates products and solutions. We build the underlying technology applications and services. And manage the Group’s IT operations & cyber defence, 24/7, 365. End-to-end transaction fulfillment services. For the whole Group. With singular focus: delivering exceptional customer experience. At the forefront of our digital transformation journey, we relentlessly innovate and invest in your development.
Who You Are
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in IT Operations, DevOps, or SRE roles, preferably in the banking or financial services sector.
- Strong hands-on experience with observability and monitoring tools (e.g., ELK, Prometheus, Grafana/Kibana, AppDynamics, Dynatrace).
- Proficiency in Python, Java programming, Shell scripting, or similar languages for automation and data processing.
- Elastic Logstash programming knowledge is a huge advantage
- Experience applying machine learning techniques to operational data (e.g., anomaly detection, clustering, forecasting).
- Understanding of incident management and change control in financial institutions.
- Experience with AIOps platforms (e.g., Elastic, Moogsoft, BigPanda etc...).
- Exposure to MLOps and model lifecycle management.
- Familiarity with Kafka, Logstash, and Kibana for data ingestion and visualization.
- Knowledge of banking systems, core banking platforms, or payment gateways.
- Certifications in Elastic or observability tools.
- Strong analytical and problem-solving skills with a data-driven mindset.
- Excellent communication and stakeholder management skills
- Ability to work in a high-pressure, regulated environment with a focus on reliability and security.
- Passion for innovation, automation, and continuous improvement