Software Engineer, GCP & Java (Market Risk Domain), AVP
NatWest Group
Gurugram, Haryana, India
Join us as a Software Engineer
- This is an opportunity for a driven Software Engineer to take on an exciting new career challenge
- Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority
- It’s a chance to hone your existing technical skills and advance your career
- We're offering this role at associate vice president level
What you'll do
In your new role, you’ll engineer and maintain innovative, customer centric, high performance, secure and robust solutions. You’ll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform.
You’ll Also Be
- Producing complex and critical software rapidly and of high quality which adds value to the business
- Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
- Collaborating to optimise our software engineering capability
- Designing, producing, testing and implementing our working code
- Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations
The skills you'll need
You’ll need a background in software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers.
You’ll Also Need
- At least eight years of experience with Google Cloud Platform including BigQuery, GKE and Cloud SQL, with expertise in infrastructure modernisation and migration to cloud-native architectures
- Strong Java development experience with deep expertise in Spring Boot, Microservices architecture and REST API design for scalable and maintainable platform development
- Proven ability to design, build and optimise scalable microservices and APIs aligned with enterprise engineering best practices
- Experience applying AI and Machine Learning techniques to engineering workflows, including test automation, deployment pipeline optimisation and performance tuning
- Strong focus on engineering automation to improve delivery velocity, operational efficiency and reduce manual effort
- Good understanding of Market Risk concepts including market data, VaR calculations, time series data and the ability to translate business requirements into technical solutions for risk platforms