The Job in Short

At Backbase, we build comprehensive payments functionality into our platform to empower banks worldwide. As a Technical Domain Expert (Staff Engineer Level), you are THE trusted technical authority for our broad payments business domain. Your primary leverage is acting as a force multiplier, applying your deep technical expertise and extensive Payments Domain knowledge to enable teams and deliver value in a complex business and technical domain.

Payments Domain Expertise

- Extensive functional and technical knowledge of global payment rails, specifically covering US, European, and Asian markets
- Deep understanding of payment workflows, compliance, and processing tailored for both Retail banking and SME/Commercial sectors

Meet the Job: Key Responsibilities

- The Solve r: Parachute into the hardest technical challenges spanning multiple teams to remove volatility and ambiguity
- Design Ownershi p: Own high-level design for multi-service capabilities, ensuring security and scalability are embedded from the start
- Technical Project Leadershi p: For large strategic initiatives, you step in as the technical lead, driving the architecture and execution strategy across multiple engineering team
- Core Systems Prototypin g: Write the complex cores and skeletal systems that other teams build upon
- Execution Focu s: You ensure the current quarter is executed with technical excellence
- Bar Raisin g: Serve as the primary approver for critical-path design reviews and major technical initiatives
- Technical Mentorshi p: Act as a dedicated mentor and coach for engineers, guiding their technical growth, fostering a high-performance culture, and helping to cultivate future technical leader

AI-Native Engineering & AI Agent Governance

- AI Adopti on:



Lead the adoption of agentic tooling, and AI automation within your team to accelerate the development lifecycle
- Tooling & Governan ce: Skill in selecting, configuring, and governing the use of AI tooling
- Context Engineeri ng: Advanced skill in configuring, governing, and providing detailed, context-rich inputs for AI agents
- Harness Engineeri ng: Advanced skill in engineering the AI agent's operational setting (the 'harness'), ensuring it includes the necessary security, retrieval, and validation systems for reliable, high-quality code generation
- Auditing & Validati on: Crucially, the ability to validate and correct AI output for correctness, compliance with standards, and security before integration. The paramount skill is healthy skepticism and the ability to critically review and validate AI-generated code.

Hard Skills: Deep Software Engineering Foundation

As a modern AI-First Engineer, you are a deeply grounded software professional who leverages AI agents and tools to amplify productivity and quality, not as a replacement for fundamental engineering principles

- Code & Architect ure: Deep understanding and strict application of Clean Code principles, alongside mastery of SOLID principles to ensure maintainable, extensible codebases
- Design Patte rns: Expertise in classic Design Patterns and modern architectural patterns like Microservices, Event-Driven Architecture,



and Serverless computing
- Domain-Driven Design (D DD): Ability to apply Domain-Driven Design principles, including defining Bounded Contexts, Ubiquitous Language, and Aggregate Roots, to model complex business domains effectively
- Testing & Qual ity: Advanced practice of Behavior-Driven Development (BDD) and Test-Driven Development (TDD), ensuring that requirements are defined by tests and implementation follows
- DevOps & Infrastruct ure: Expertise in Continuous Integration and Continuous Deployment (CI/CD) pipelines, infrastructure-as-code (IaC), and modern DevOps practices for automating the software delivery lifecycle

How About

- You have 10+ years of experience with a strong track record in designing and delivering complex software system
- You have a T-shaped skill profile, possessing deep expertise in one area with broad competence across the full stack
- You excel at "Influence Without Authority," shaping decisions across teams through expertise and persuasion
- You are highly craft-focused and proactive in addressing cultural and technical debt
- System Thin king: The ability to view the software product as a complete system, understanding how AI-generated components interact with existing infrastructure, security models, and deployment pipelines
- Architectural Vi sion: The capacity to hold the overall system design in mind, ensuring that the piecemeal, task-oriented output from AI agents aligns with the long-term architectural goals and scalability requirements
- Communica tion: Exceptional clarity in communication, especially when defining requirements for AI agents and explaining the rationale for modifications to AI-generated solutions to human team members

📌 Staff Engineer (Payment Domain Expert) (Hyderabad)
🏢 Backbase
📍 Hyderabad