Principal 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: Principal Engineer

Location: Bangalore
Business & Team: Business Banking

Impact & contribution:

We’re looking for a Principal Software Engineer who combines deep technical expertise with enterprise-level engineering leadership across modern full-stack platforms. You will shape technical strategy and architecture across customer and colleague-facing applications spanning web experiences, APIs, distributed services, data, cloud, workflow orchestration and AI-enabled capabilities. You will bring authoritative engineering depth across backend, frontend, distributed systems and cloud, while setting direction for scalable solutions using Temporal and durable workflow orchestration. You will champion AI-powered engineering, establish reusable patterns and guardrails, and influence how software is designed, built, tested and operated across multiple teams.

Roles & Responsibilities:

• Set and drive technical strategy, target architecture and engineering direction across a portfolio of full-stack capabilities spanning modern web applications, APIs, services, data and AWS cloud platforms.
• Provide authoritative technical leadership across .NET/C#, Java/JVM or Node.js/TypeScript ecosystems and modern TypeScript frontends, remaining sufficiently hands-on to validate critical designs, patterns and engineering decisions.
• Define architecture for secure, resilient distributed systems at scale, establishing domain/service boundaries, event-driven and asynchronous patterns, consistency models, idempotency, fault tolerance and evolutionary architecture principles.
• Shape workflow architecture using Temporal and durable orchestration patterns, establishing approaches for long-running processes, retries, compensation, human-in-the-loop steps, state management, business rules, versioning and auditability.
• Lead complex modernisation and simplification across legacy estates through decomposition, API enablement, event-driven integration and cloud migration; establish transition architectures and drive removal of obsolete systems, code and technology debt.
• Set engineering expectations for cloud-native delivery, CI/CD, infrastructure as code, DevSecOps, automated quality, observability, SRE, resilience and production readiness, and ensure adoption across teams.
• Define and champion responsible AI-powered engineering across the SDLC and shape enterprise GenAI/Agentic AI architectures with robust evaluation, guardrails, security, observability, governance and human oversight.
• Lead the most consequential technical and architecture decisions, gain support for technical direction, and ensure execution across engineering, product, architecture, security, platform, data and business stakeholders.
Build engineering capability through standards, coaching and sponsorship of senior technical talent.

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Essential Skills:

Typically, 15+ years of software engineering experience, including substantial experience as a senior technical leader shaping strategy and architecture across complex enterprise platforms, domains or multiple engineering teams.

• Expert engineering depth in one or more of: .NET/C# and ASP.NET Core; Java/JVM and Spring Boot; or Node.js/TypeScript and modern server frameworks, with the breadth to govern architecture across heterogeneous technology stacks.

• Strong full-stack architecture experience with TypeScript and modern frontend frameworks such as React or Angular, including component/platform architecture, performance, accessibility, security and automated quality at scale.

• Deep expertise in microservices and distributed systems, API and integration architecture, event-driven systems, messaging, resiliency, scalability, concurrency and data consistency, with evidence of making sound trade-offs at enterprise scale.

• Deep data, security and quality engineering knowledge across relational/NoSQL databases, OAuth2/OIDC, JWT, OWASP, threat modelling and automated test strategies, with security embedded from the first line of code.

• Extensive AWS and cloud-native architecture experience across containers/Kubernetes/ECS, serverless services, infrastructure as code, CI/CD and production observability, including governance, reliability, cost and operational trade-offs.

• Strong knowledge of Temporal and durable workflow architecture, including workflows/activities, retries, signals, timers, compensation, versioning and operational patterns for reliable long-running distributed processes.

• Strong architecture knowledge of workflow and orchestration patterns, including human-in-the-loop workflows, rules, integrations, security, performance, governance, auditability and operational visibility.

• Advanced knowledge of Generative AI and Agentic AI architectures, including RAG, MCP/tool use, structured outputs, evaluation, guardrails, observability and responsible adoption in regulated enterprise environments.

• Exceptional architecture judgement and communication, with the ability to simplify ambiguity, make commercially pragmatic technology decisions, influence senior stakeholders and express direction through code, diagrams, ADRs, standards and concise technical narratives.
  

Years of Experience: 15+
Qualifications: Bachelor of Engineering, BTech or equivalent qualification, or equivalent relevant industry experience.