Application Development Team Leader at FNB South Africa

Job Description

• We are looking for an experienced Technical Team Lead to join the iDNA Data Streaming team. This role is ideal for a hands-on technical leader who is passionate about building scalable, real-time data solutions using Java-based technologies, while mentoring engineers and working closely with DevOps, Architecture, and Product teams.
• You will lead a delivery-focused team responsible for building and supporting high‑performance data streaming platforms that enable analytics, insights, and downstream data products across the organisation.

Key Responsibilities

Technical Leadership

• Provide hands-on technical leadership in the design, development, and delivery of data streaming solutions
• Define and enforce coding standards, best practices, and architectural patterns
• Lead technical decision‑making across the team, balancing delivery, scalability, and maintainability
• Participate in complex problem‑solving and production support when required

Delivery & Team Leadership

• Lead, mentor, and grow a team of Java engineers and data specialists
• Facilitate agile ceremonies (sprint planning, stand‑ups, retrospectives)
• Partner with Product Owners and stakeholders to translate business requirements into technical solutions
• Drive continuous improvement in delivery velocity, quality, and reliability

Engineering & DevOps Collaboration

• Develop and maintain Java services that support real‑time data ingestion and streaming
• Work closely with DevOps teams to ensure solutions are CI/CD enabled, cloud‑ready, and production‑hardened
• Promote DevOps and SRE principles such as automation, monitoring, and resilience
• Support deployment, observability, and performance optimisation of streaming platforms

Technical Skills & Experience

Required:

• Strong experience in Java (Java 8+), including building and maintaining backend services
• Experience leading or mentoring technical teams
• Solid understanding of event‑driven and streaming architectures
• Experience working in Agile / DevOps environments
• Strong problem‑solving and stakeholder engagement skills

Advantageous:

• Experience with data streaming technologies (e.g. Kafka, event streaming platforms)
• Exposure to cloud platforms (AWS, Azure, or GCP)
• CI/CD pipelines, containerisation (Docker), and orchestration tools
• Experience with microservices and distributed systems
• Background in data platforms, analytics, or large‑scale enterprise systems

Qualifications

• Degree in Computer Science, Engineering, or a related field (or equivalent experience)

End Date: May 6, 2026