Principal Software Engineer at Commonwealth Bank in Bangalore - Manyata Tech Park Road

Job description

• CRM and customer engagement platforms
• Banker experience and workbench capabilities
• Workflow and orchestration services
• AI-assisted customer and colleague experiences
• Shared platform services supporting Business Banking journeys
• Working closely with engineers, architects, product leaders, delivery teams and business stakeholders, you'll help shape platform strategy while lifting engineering capability across the organisation.
• Apply advanced technical knowledge to deliver key strategic solutions which addresses business problems.
• You will contribute to building a brighter future for 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.
• If you have a history of building a culture of empowerment and know what it takes to be a force multiplier within a large organization, then you’re the kind of person we are looking for.

Responsibilities

• Lead the design, evolution and delivery of scalable, resilient platforms supporting customer and banker experiences.
• Drive architecture and engineering decisions across multiple squads and technology domains.
• Establish reusable engineering patterns, frameworks and standards that improve delivery speed and quality.
• Shape platform strategy across cloud, APIs, customer engagement services, workflow orchestration and AI-enabled capabilities.
• Champion modern engineering practices including DevSecOps, observability, CI/CD and automated testing.
• Partner with product, architecture, risk and business stakeholders to deliver meaningful customer and business outcomes.
• Ensure security, privacy, operational resilience and responsible AI principles are embedded into platform design and delivery.
• Mentor engineers, influence technical strategy and foster a culture of engineering excellence.

Requirements

• We're interested in hearing from people who have
• Experience operating as a Principal Engineer, Lead Engineer or senior technical leader within complex enterprise environments.
• A strong track record designing and delivering large-scale distributed systems and platform capabilities.
• Strong engineering judgement with the ability to balance strategic thinking and hands-on technical leadership.
• Experience leading architecture decisions across cloud-native, API-driven or customer-facing platforms.
• The ability to influence senior stakeholders across engineering, product, architecture, risk and business teams.
• Experience establishing engineering standards, reusable patterns and platform strategies across multiple teams.
• Strong mentoring and coaching capability, with a passion for growing engineering talent.
• Curiosity and enthusiasm for AI-enabled customer experiences, automation and modern digital platforms.
• Minimum exp of 15+ yrs extensive experience in designing and implementing scalable, maintainable and reliable software solutions
• Engineering & Architecture
• Python, Java, .NET, TypeScript, Go or similar modern software development languages
• Designing and building APIs, services and distributed systems
• Microservices and event-driven architectures.
• Strong experience in front end technologies like React JS or Next JS.
• Modern application design patterns including Domain-Driven Design (DDD)
• Experience working across backend, frontend and integration capabilities
• Safe and effective use of AI-powered engineering tools to improve development productivity and quality
• Data Engineering
• Architect enterprise data pipelines using Python and Apache Airflow.
• Lead implementation of scalable ETL/ELT frameworks.
• Design robust batch and streaming data processing solutions.
• Define data quality, lineage, observability, and governance standards.
• Establish reusable engineering accelerators and platform capabilities.
• Design domain-oriented service architectures aligned with banking capabilities.
• Define service boundaries and ownership models across business domains.
• AI, Data & Intelligent Experiences
• Education Qualification: Bachelor’s degree or Master’s degree in Engineering in Computer Science/Information Technology
• AI-enabled applications and customer experiences with Large Language Models (LLMs), AI agent architectures and Retrieval-Augmented Generation (RAG)
• Responsible AI controls and governance
• Model evaluation, monitoring and operationalisation
• Cloud & Platform Engineering
• Strong working experience with AWS, Kubernetes, Docker
• Infrastructure as Code (Terraform or CloudFormation)
• CI/CD and deployment automation
• Cloud-native architecture patterns
• Engineering Excellence
• DevSecOps and secure-by-design engineering
• Automated testing and quality engineering
• Observability, monitoring and operational resilience
• Production platform ownership
• Incident management and reliability engineering
• Agile delivery practices

Skills

Required

• Engineering & Architecture
• Data Engineering
• Cloud & Platform Engineering
• CI/CD and deployment automation
• Cloud-native architecture patterns
• Engineering Excellence
• Production platform ownership
• Agile delivery practices

Preferred

• AI, Data & Intelligent Experiences
• Responsible AI controls and governance