VP-Sr. Software Engineer

Tech Skillsets required for the role:

Go microservices, React 19+/TypeScript, OpenShift/Kubernetes, MongoDB/Redis/S3, REST/gRPC/WebSockets, Claude/Gemini/proprietary LLMs, OAuth/JWT/Vault, GitOps CI/CD, Prometheus/Grafana/ELK.

You might be a good fit if you:

• Bring distinguished, deep-dive software engineering expertise and a track record of architectural leadership.
• Thrive in a results-driven environment, where flexibility fuels impact and your technical decisions shape the enterprise.
• Are a game-changer and thought leader, ready to step beyond your designated role to influence the broader engineering culture.
• Love the synergy of pair programming and hands-on codingyou lead from the front and stay close to the codebase.
• Seize the opportunity to architect machine learning and GenAI applications at an unprecedented global scale.
• Possess a relentless passion to push the boundaries of machine learning and generative AI, bringing your knowledge to shape future.

What youll do within the team:

• Engineering at scale: You will build scaled, robust services and platforms centred around generative AI. This may also include developing CLIs, SDKs, runtimes and more.
• Thought Leadership: Drive architectural vision and lead the 0-1 build of foundational, enterprise-grade AI platforms and products.
• System Design: Design and build high-quality, highly reliable, and secure distributed systems with developer and user experience at the center.
• Strategic Direction: Create “firsts” in the Generative AI space for acting as a core member of the team that defines the strategic technical direction for the entire bank.
• Scale & Iterate: Continually iterate and scale Generative AI products to handle massive throughput, whilst anticipating and listening to the complex needs of internal customers.
• Cross-Org Influence: You must be able to drive technical alignment across multiple engineering organizations, breaking down silos to deliver cohesive AI capabilities.

Experience That Will Help You Succeed In This Role:

• Mastery of Modern Stacks: Expert-level fluency in Golang and Python is a must-have, with deep experience building concurrent, high-throughput systems.
• Cloud-Native & Infrastructure: Deep expertise in the Kubernetes ecosystem, container orchestration, and modern security paradigms (e.g., Gatekeeper, zero-trust).
• Applied GenAI: Understanding of language models, embeddings models and RAG architectures is desirable
• AI Infrastructure: Proven experience designing control planes, sandboxing systems for AI experimentation, and managing large-scale vector stores and search algorithms.
• Data Engineering: Extensive experience in large-scale ETL development and data pipeline architecture.
• Security & Governance: Experience maintaining and/or contributing to bug bounty, responsible disclosure programs, and AI safety/guardrail implementations.
• Startup Agility: Experience leading technical initiatives within fast-paced startup environments or driving startup-like agility within a large enterprise.

What We Believe In:

• We do not have boundaries between engineering and research; we expect our technical leaders to bridge the gap and contribute to both.
• We take a product-focused approach and care deeply about building solutions that are robust, scalable, and easy to use.
• We enjoy working in a fast-paced team tackling cutting-edge problems by constantly testing, learning, and adapting.
• We enjoy pair programming for our products; we are lean in our approach and actively remove bureaucracy where we see it.
• We believe in delivering fast, iterating, and pivoting as we go, rather than defining the perfect solution upfront.