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
Impact & Contribution:
We’re looking for a Staff Software Engineer with strong hands-on engineering and architecture experience across Java, Spring Boot, APIs, microservices and cloud-native platforms, complemented by expertise in Pega and enterprise workflow/case management solutions.
You will play a key technical leadership role in designing and modernising large-scale applications, building resilient services and integration capabilities, and evolving our platforms towards modern cloud-native architectures. The ideal candidate brings a strong software engineering and product mindset, is comfortable working across Java-based services and Pega applications, and can make pragmatic architectural decisions across distributed systems, APIs, data, cloud and workflow platforms.
Knowledge of AI fundamentals, Generative AI and Agentic AI solutions is highly regarded. As a Staff Engineer, you will remain hands-on while providing technical leadership, mentoring engineers and influencing engineering standards and architecture across teams.
Roles & Responsibilities:
Lead the architecture, design and delivery of Java, Spring Boot, APIs, microservices and Pega solutions, ensuring scalable, resilient, secure and maintainable enterprise applications.
Drive application modernisation and cloud-native engineering, including legacy decomposition, API enablement, AWS migration, containers/Kubernetes/ECS, infrastructure as code, CI/CD and DevSecOps.
Define architectural boundaries and integration patterns across Pega, Java services, enterprise platforms and external systems, determining when capabilities should be implemented in Pega versus custom services.
Establish and champion strong engineering practices covering clean code, API design, automated testing, security, observability, performance, production readiness, code/design reviews and troubleshooting.
Provide technical leadership and mentoring across engineering teams, collaborate with product and architecture stakeholders, and enable appropriate adoption of Generative AI and Agentic AI capabilities within enterprise applications.
Essential Skills:
12–18 years of software engineering experience, including technical leadership across complex enterprise platforms and architecture-level decision-making.
Strong hands-on experience with Java, Spring Boot, microservices and distributed systems, including RESTful APIs, enterprise integration, concurrency, resiliency, scalability, performance and troubleshooting.
Strong experience with relational/NoSQL databases such as Oracle, PostgreSQL, MySQL and MongoDB, along with authentication and application security including OAuth2, JWT and OWASP principles.
Hands-on experience with AWS and cloud-native engineering, including ECS/Fargate, Lambda, S3, RDS, API Gateway, IAM, Secrets Manager and CloudWatch, as well as Docker and Kubernetes.
Strong experience with CI/CD, DevSecOps and infrastructure automation, including GitHub Actions/Jenkins, Terraform/CDK, automated testing, code quality, secrets management and production observability.
Hands-on experience designing and delivering Pega enterprise applications, with strong knowledge of case management, workflows, data/integration patterns, security, performance and application architecture; Pega LSA or equivalent architecture-level experience is highly regarded.
Experience with modern Pega capabilities, including Constellation, Blueprint, App Signature and Pega GenAI features, is highly regarded.
Ability to make architecture decisions across custom Java development, APIs/microservices and Pega low-code capabilities, selecting the appropriate technology for each business problem; TypeScript and modern front-end experience is desirable.
Knowledge of AI, Generative AI and Agentic AI architectures, with exposure to agent design/orchestration frameworks such as LangGraph, LangChain, LangSmith, OpenAI/Bedrock Agent SDKs, CrewAI or AutoGen desirable.
Education Qualifications:
Bachelor’s degree or Master’s degree in engineering in Computer Science/Information Technology.
If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.
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