WoW Software Engineer

NatWest Group; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

NatWest Group is seeking a Software Engineer in Chennai, India, to tackle challenging AI-enabled software and platform components. The role emphasizes building secure, scalable, and customer-focused systems within a collaborative, multi-disciplinary team.

You will work with modern AWS AI services and leading frameworks, contributing to end-to-end development from design to deployment. The position targets senior analyst level and offers growth within a dynamic, tech-driven environment.

Qualifications

• Background in software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers.

Responsibilities

• Engineer and maintain innovative, customer centric, high performance, secure and robust solutions.
• Work in feature teams to engineer software, scripts and tools that are often complex, and liaise with other engineers, architects and business analysts across the platform.
• Produce complex and critical software rapidly and of high quality which adds value to the business.
• Work in permanent teams who are responsible for the full life cycle, from initial development through enhancement and maintenance to replacement or decommissioning.
• Collaborate 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.

Skills

Software engineering

Software design

Architecture

Customer focus

Tools

AWS SageMaker Unified Studio

Bedrock

Agent Core

LangChain

LangGraph

Python

Java

Splunk

Grafana

CI/CD pipelines

Job description

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 senior analyst level

• 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 senior analyst 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

• Hands-on experience with AWS AI services, including SageMaker Unified Studio (SMUS), Bedrock, Agent Core, and AI solution deployment
• Strong proficiency in Python and/or Java, with experience using AI frameworks such as Spring AI, LangChain, and LangGraph
• Solid understanding of GenAI concepts including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), model tool integration, and optimization techniques
• Experience in building, testing, monitoring, and optimizing AI agents, with knowledge of telemetry, observability, and monitoring tools such as Splunk and Grafana
• Knowledge of DevOps practices, CI/CD pipelines, and Agile methodologies to support the efficient development and deployment of AI solutions