Staff Software Engineer

Organization:

CommBank is recognized as leading the industry in IT and operations with its world-class platforms and processes, agile IT infrastructure, and innovation in everything from payments to internet banking and mobile apps.

Our Retail Technology organization provides end-to-end IT management, planning, change and delivery for the Bank’s critical retail customer channels (branch, digital, ATM and contact centre), core product and origination systems. We are accountable for the current and future health of the applications within the portfolio, supporting the internal customers that use these applications and ensuring they evolve to meet changing business needs. 

Day to day, you will be involved in designing and implementing effective solutions across a variety of products and services. You will also help ensure that our customer service teams have the technology tools available to provide our customers with world-class end-to-end banking experience with CommBank, 24/7. 

Job Title: - Staff Software Engineer

Location: - Bangalore

Business & Team: -

Our Retail Technology organization provides end-to-end IT management, planning, change and delivery for the Bank’s critical retail customer channels (branch, digital, ATM and contact centre), core product and origination systems. We are accountable for the current and future health of the applications within the portfolio, supporting the internal customers that use these applications and ensuring they evolve to meet changing business needs. 

Day to day, you will be involved in designing and implementing effective solutions across a variety of products and services. You will also help ensure that our customer service teams have the technology tools available to provide our customers with world-class end-to-end banking experience with CommBank, 24/7. 

Impact & contribution :-

As a Full Stack Developer, you will be responsible for building and running data pipelines and services, as well as developing and maintaining scalable web applications that support business functionality, reports, and dashboards.

You will leverage your expertise in both backend and frontend technologies to deliver integrated, data-driven solutions. Collaboration with and contribution to a cross-functional team will be key to the successful delivery of business requirements. This role requires an energetic attitude, creative problem-solving, a passion for technology and data, excellent communication, relationship-building skills, and flexibility in approach and design.

Roles & Responsibilities :-

• Design, develop, and maintain full stack applications, including both backend services and frontend user interfaces.
• Design, develop, and maintain full stack applications across backend services, APIs, and frontend interfaces.
• Build and optimise data pipelines, models, and integration routines across multiple systems.
• Perform data analysis, profiling, mapping, and documentation of end-to-end data flows.
• Apply secure coding practices, encryption controls, and follow CBA risk and compliance frameworks.
• Support CICD, cloud deployments, system monitoring, and performance tuning.
• Work collaboratively within cross-functional squads, contributing to Agile ceremonies and delivery outcomes.
• Own the delivery of data models, reports, and user-facing features end to end.
• Perform exploratory data analysis to identify data quality issues early and implement automated tests to prevent future issues.
• Continually learn and apply modern technology best practices in both data engineering and full stack development.
• Adhere to the Code of Conduct, setting the standards of behaviour, actions, and decisions expected from our people.

Essential Skills:-

• 13-18 year’s experience in defining, govern, and champion architecture patterns, engineering standards, DevOps and SRE practices, and long-term platform strategies, ensuring all solutions are secure, scalable, observable, and aligned with CBA technology principles.
• Lead large-scale, multi-domain engineering initiatives spanning application development, data pipelines, DevOps automation, and cloud-native services, with measurable improvements to reliability, performance, and operational efficiency.
• Provide technical leadership across full stack development (frontend, backend, APIs), data platforms, pipelines, cloud architectures, and site reliability engineering, ensuring cohesive and modern engineering across the ecosystem.
• Mentor and uplift Software Engineers, Senior Engineers, and SREs, embedding strong engineering culture, capability uplift, and best-practice patterns in coding, testing, security, observability, automation, and data quality.
• Influence strategic technology decisions and roadmaps, shaping long-term architecture direction, cloud strategy, DevOps maturity journey, reliability targets (SLIs/SLOs), and platform investment priorities.
• Drive modernisation initiatives, including application re-platforming, microservices adoption, legacy decomposition, data platform uplift, CI/CD automation, observability enhancement, and cloud transformation.
• Partner with risk, security, operations, and business leaders to ensure all systems adhere to secure-by-design principles, engineering risk controls, data governance, encryption standards, and operational resiliency requirements.
• Lead and operationalise SRE practices, including:
  • Establishing monitoring, logging, tracing, and observability frameworks
    – Driving incident response, root-cause analysis, and problem management
    – Implementing automation to eliminate toil and streamline operational tasks
    – Leading resilience engineering (chaos testing, failover strategy, performance tuning)
• Oversee both application and data platform design reviews, ensuring architecture consistency, performance optimisation, data integrity, and compliance with CBA engineering governance.
• Promote DevOps excellence through infrastructure-as-code, automated pipelines, containerisation, environment standardisation, and deployment automation.
• Ensure full stack capabilities are embedded across teams, including API design, UI/UX alignment, backend development excellence, and end-to-end integration maturity.
• Lead enterprise data engineering uplift, including scalable data models, high-quality ingestion and transformation pipelines, automated validation frameworks, and data lineage accuracy.

Education Qualification :-
 

• Bachelor’s degree or master’s degree in engineering in Computer Science/Information Technology