Senior Software Engineer bei Commonwealth Bank of Australia

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: Senior Software Engineer

Location: Bangalore-Manyata Tech Park

Business & Team: Data Product Capability Crew , Chief Data and Analytics Office (CDAO). We are a global data and analytics team with a customer-led mindset committed to building a brighter future for all. Our vision is to build and deliver world class experiences for our customers using the power of data and analytics. We come to work every day with a passion to delight our customers, to deliver excellence for our business partners and to make data flow like electricity across the Bank.

Impact &contribution: As a Senior Software engineer, you will be part of Data Product Capability Crew within Chief Data Analytic Office (CDAO), where we design and deliver cutting-edge technology solutions that serve data and analytical use-cases. We are seeking an outstanding Senior Software Engineer to join our team and help to shape the direction of our data and AI platforms that we are building. You will be working with other engineers across teams and geographies on uplifting business capabilities and modernise our tech stack. We offer regular opportunities to work on some of the finest IT systems, as well as opportunity to develop careers across different functions and teams within the wider Domain. Utilise advanced expertise and a broad range of concepts, technology and domain knowledge to develop and deliver world class software solutions to support Agent AI ecosystem. You will contribute to the financial well-being of our customers by ensuring that our team builds the best solutions possible using modern development practices that ensure both functional and non-functional needs are met.

Roles & responsibilities:

• Develop and deploy high quality software solutions with comprehensive test coverage.
• Analyse business objectives and identify functional and non-functional requirements.
• Design and implement technical solutions for functional and non-functional requirements.
• Contribute to effort estimation for the development effort for new features.
• Continuously improve and improvise to find the best solutions for business and technical teams
• Work well with different team members whilst practicing knowledge sharing and T-shaping
• Apply and promote industry best patterns and practices with focus on test automation.

• We’re interested in hearing from people who:
  a)Are passionate about building developing and deploying high quality software solutions 
  b)Are constantly involved in continuous learning, experimentation and innovation while contributing to the definition & governance of our standards and best practices 
  c)Have knowledge in and promote industry best patterns and practices, driving high quality outcomes to solve core business objectives 
  d)Are capable of providing accurate estimates for the development effort for new features 
  e)Pride themselves in thinking outside the box and breaking boundaries to solve complex technical problems
  f)Are expert software engineer with exposure or open mind to work on Data and AI platforms.

Essential skills:

• Minimum experience is 8+ years of experience at Senior Software Engineer level in large Banks/ organizations
• Expert in API development preferably Java/J2EE (Spring Boot) or Python (FastAPI) and REST APIs.
• Working knowledge of Kafka and exp with Microservice Architecture, Design Patterns and best practices.
• Cloud: Experience on cloud technologies, with preference for AWS cloud
• CI/CD: expertise with usage and configuration of fully automated pipelines is useful. This includes GitHub Actions, Artifactory and Azure DevOps.
• Understanding of DevSecOps/SRE Best Practices
• Artificial Intelligence: Experience in AI technologies, particularly around tooling enhancements will be valued.
• Familiarity in event-driven architectures (Kafka, MQ) and orchestration (Apache Camel, Temporal, Mulesoft)
• Data engineering: exposure to working with data teams building a data lake using real-time and near real-time services, along with data transformation, aggregation, and offering through API endpoints
• Databases: Relational databases (e.g. Postgres / Oracle), as well as data warehousing and No-SQL databases (MongoDB).
• Soft skills: Excellent communication skills. Working experience with Agile methodologies.

Education Qualification: Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology