Staff Software Engineer

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Staff Software Engineer
Location: Bangalore-Manyata Tech Park

Business & Team:  IB&M Team

Impact &contribution: The Conduct Risk Technology team is responsible for delivering high-performance surveillance solutions that support critical regulatory and compliance functions. As a Staff Software Engineer specialising in kdb+/q, you'll play a key role in shaping the technical evolution of our time-series data platforms, implementing delta control mechanisms, and integrating advanced NLP capabilities. You'll work across the full software development lifecycle (SDLC), from data ingestion and real-time processing to surveillance engines, APIs, and cloud infrastructure.

Roles & Responsibilities:

• Shape the evolution of kdb+/q time-series platforms and provide hands-on engineering leadership across surveillance solutions.

• Design, build, optimise, test and operate capabilities spanning data ingestion, real-time processing, surveillance engines, APIs and cloud infrastructure.

• Implement version control, incremental data updates and change data capture mechanisms in kdb+ environments.

• Integrate spaCy and Python with kdb+ for text processing, entity extraction and sentiment analysis.

• Champion functional programming, data-driven architecture, automated testing, CI/CD, observability and performance tuning.

• Partner with Compliance, Risk and Technology stakeholders, and mentor junior engineers in kdb+/q and surveillance practices.

Essential Skills:

• 12+ Experience implementing version control, incremental data updates, and change data capture in kdb+ environments.

• Advanced proficiency in q programming, temporal databases, and time-series analytics.

• Hands-on experience with spaCy for text processing, entity extraction, and sentiment analysis within kdb+/Python integration.

• Delta Control HTML5 and JavaScript for surveillance dashboards and alert visualisation.

• Python integration with kdb+, RESTful APIs, and WebSocket connections for real-time data feeds.

• kdb+ HDB/RDB architecture, partitioned databases, and columnar storage optimisation.

• Experience with market data feeds, communication surveillance data, and transaction monitoring.

• AWS (EC2, S3, Lambda) for kdb+ deployment and scaling.

• CI/CD pipelines for kdb+ applications and automated testing frameworks.

• Monitoring kdb+ processes, query optimisation, and performance tuning.

• Microservices patterns, event-driven architectures, and distributed kdb+ systems.

• Knowledge of regulatory requirements, including ASIC, MiFID II, and MAR.

• Familiarity with machine learning workflows integrated with kdb+

Education Qualification: Bachelor’s degree or master’s degree in engineering in Computer Science, Software Engineering, Information Technology, Data Engineering or related discipline, or equivalent practical experience.