- 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.