CHAPTER LEAD / ENGINEERING MANAGER – SOFTWARE ENGINEERING

• You are a problem solver with a strong background in software engineering
• We are a growing team within the bank and constantly involved in industry changing solutions
• Together we will build tomorrow’s bank today, using world-leading engineering, technology, and innovation

DO WORK THAT MATTERS

We are seeking a highly skilled Chapter Lead to join our fast-paced team. As a Chapter Lead, you’ll be providing expert advice relating to technology, solution design and architecture, people leadership and driving excellence in technical delivery as per group engineering practices and standards. You will bring a perfect blend of people management, technical expertise and will be responsible for shaping the evolution of technical squad through contribution to the technology strategy, quarterly crew memo, prioritise backlog, define delivery roadmap, and determine which problems to invest in solving.
You will work closely with cross-functional teams to develop scalable solutions using wide tech stack. The ideal candidate will have a strong background in software engineering, exceptional problem-solving skills, and a passion for building robust systems.

TECHNICAL SKILLS:

We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;

• 7+ years of industry experience in enterprise-level engineering.
• Have a proven track record of leading high-performing engineering teams
• Expertise with API specification, design, registration and tooling (eg OpenAPI, Kong)
• Experience in distributed, low latency environments.
• Language orientation: Experience on C#, .NET Framework Core, essential. SOAP/REST APIs, Microservices and containerisation a plus. Node, Python and scripting knowledge useful
• Soft skills: Excellent communication skills. Working experience with Agile methodologies.
• Cloud: Experience on cloud migrations and deployment, with preference for Azure Cloud, and Power Platform
• Artificial Intelligence: Experience in AI technologies, particularly around tooling enhancements will be valued.
• Data engineering: expertise in building a data lake using real-time and near real-time services, along with data transformation, aggregation, and offering through API endpoints
• CI/CD: expertise with usage and configuration of fully automated pipelines is useful. This includes GitHub Actions, Artifactory and Azure DevOps.
• DevOps: Familiarity with DevOps-managed environments. Specifically, around observability tools (Splunk, Grafana, Promethius, PagerDuty)
• Test Automation: Unit/Integration/Acceptance/Performance testing experience in API.
• Security: Defence in depth, including identity management, encryption and public cloud security obligations
• Databases: Relational databases (e.g. Postgres / Oracle), as well as data warehousing and No-SQL databases (MongoDB).
• Familiarity in event-driven architectures (Kafka, MQ) and orchestration (Apache Camel, Temporal, Mulesoft)

Please refer the Job description for details