NodeJS Developer

Staff Software Engineer

Node + nextJS / Node + React / Node JS + GraphQL

Key Skills

• 8+ years of experience designing, architecting and developing scalable, enterprise platforms and applications
• Proficient in the following AWS services with hands on experience: EC2, Lambda, DDB and S3
• Exposure to AWS services like Kinesis, Firehose, Cloud watch, Aurora, Step Functions, CDK, Cloud Formation
• Proficient in at least one of the 2 tech stacks: TypeScript/Node.js or C#/.Net
• Experience designing APIs and service contracts
• Familiarity with event-driven architectures
• Hands-on experience with CI/CD and IaC pipelines
• Distributed systems and Microservices

Key responsibilities

• To succeed in this role, you will be a strong engineer with hands on experience delivering large, scalable enterprise services, platforms and applications built on AWS cloud native technologies.
• You will bring 10+ years of experience solving complex technical challenges, architecting highly available, resilient, responsive and scalable solutions using the well-established industry standards.
• In this role you will work closely with the Principle Engineers and Chief Engineer while creating, presenting, evolving, validating and executing your design.
• You will be a hands-on engineer yourself delivering key components while collaborating with your team members' deliverables.
• You will possess and showcase in-depth knowledge of Database design, implementation, performance and integration with working knowledge of large scale RDBMS like Aurora and NOSQL like DDB
• AI & Intelligent Automation
• As part of a modern workflow platform, we are progressively introducing AI-assisted capabilities to improve productivity, decisioning, and system intelligence.
• As a Staff Engineer you will help shape how AI is applied responsibly and pragmatically across the platform and have the following responsibilities
• Design and integrate AI-assisted features into workflow and platform services, such as:
• Workflow and rules inference from structured and semi-structured inputs
• Intelligent routing, classification, and recommendations within workflows
• AI-assisted validation, schema evolution, and decision support
• Partner with platform and security teams to ensure safe, explainable, and compliant AI usage.
• Define architectural patterns for:
• Calling LLMs or AI services from long-running workflows
• Handling retries, fallbacks, and determinism in AI-driven steps
• Versioning and auditing AI-influenced decisions
• Evaluate build vs buy options for AI services (managed cloud services vs internal capabilities)

Nice-to-Have

• Experience with Camunda, Temporal, or BPMN-based systems
• Experience building low-code/metadata-driven platforms
• Background in financial services or regulated environments
• Experience designing workflows
• Exposure to rules engines (Drools or equivalent)
• How is this role Unique?
• Greenfield platform with real enterprise scale
• High architectural ownership and influence
• Opportunity to define CBA’s long-term workflow and orchestration strategy