Software Engineer building and operating compute infrastructure powering OpenAI’s AI research. Optimizing Kubernetes clusters and ensuring reliability in supercomputing environments for advanced AI workloads.
About the role
- Principal Engineer designing software with a focus on customer experience, collaborating to enhance banking software engineering capabilities. Leading innovative solutions and development oversight for banking applications.
Responsibilities
- Designing and engineering software with the customer or user experience as the primary objective
- Collaborating to improve the bank’s overall software engineering capability
- Creating great customer outcomes via engineering and innovative solutions to existing and new challenges
- Defining, creating and providing oversight and governance of engineering and design solutions with a focus on end-to-end automation, simplification, resilience, security, performance, scalability and reusability
- Defining and developing architecture models and roadmaps of application and software components to meet business and technical requirements
- Driving common usability across products and domains
- Working with feature teams to produce software rapidly and of high quality which adds value to the business
- Determining the design and delivery approach for all platform’s software throughout its life
- Working within a platform or feature team along with software engineers to design and engineer complex software, scripts and tools to enable the delivery of bank platforms, applications and services
- Acting as a point of contact for solution design considerations
Requirements
- Significant experience in software engineering, software or database design and architecture
- Experience of developing software within a DevOps and Agile framework
- Implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance
- Strong background in building and optimizing pipelines for LLMs, traditional ML models, and data processing pipelines using OSS frameworks or within the AWS/GCP ecosystems
- Strong experience in supervised or unsupervised learning, time‑series forecasting, optimization, feature engineering, model evaluation, and retraining strategies along with RAG, embedding pipelines, LLM orchestration, prompt engineering, and API integration
- Strong proficiency with Python
- Hands on engineering excellence in defining and enforcing standards for ML Ops, CI/CD, experiment tracking, model deployment, observability, security, and performance tuning
- Ability to evaluate and integrate capabilities across OpenAI/Anthropic models, fine‑tuning, GPU compute, AutoML, and feature stores
- Background of working with code repositories, bug tracking tools and wikis
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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