Lead Scala/Java Software Engineer – CDAO Data Platforms

Overview

As a Lead Software Engineer in the Data Platforms team, you drive the development of scalable, secure software that underpins trusted financial technology products. You act as a core technical contributor across multiple domains, shaping meta-programming, domain language design, and distributed systems in a cloud-first environment. You collaborate with cross-functional teams to deliver high-quality code and improve engineering outcomes through AI-assisted practices. This role offers the chance to influence architectural decisions and elevate production systems at scale.

Responsibilities

• Lead engineering of metadata, meta-modelling and distributed systems
• Develop secure, high-quality production code and review others’ code
• Drive adoption of enterprise AI-assisted engineering practices to improve code quality and delivery speed
• Establish validation standards (secure coding, peer review, automated testing) and promote reuse of patterns
• Leverage SDLC tools and automation to enhance value, including AI-assisted development
• Identify opportunities to automate recurring issues to improve stability

Key requirements

• Formal training or certification in software engineering
• Hands-on experience in system design, application development, testing, and operational stability
• Proficiency in Scala and Java
• Experience with asynchronous runtimes like Cats Effect
• Experience leading the use of AI-assisted software development tools with emphasis on correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows and secure handling of data
• Proficiency across the Software Development Life Cycle
• Advanced understanding of agile methods, CI/CD, resiliency, and security
• In-depth knowledge of financial services IT systems and practical cloud-native experience

• Leadership
• Coaching/mentoring
• Collaborative problem solving
• Scala
• Java
• Cats Effect (asynchronous runtimes)

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