Software Engineer- AI

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.

This role is based in India and as such all normal working days must be carried out in 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 be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions

• It’s a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders

• We're offering this role at associate level

What you'll do

In your new role, you’ll be working within a feature team to engineer software, scripts and tools, 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 software solutions

• Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations

The skills you'll need

To take on this role, you’ll need four plus years of experience in software engineering, ML engineering, or data engineering roles with strong proficiency in Python.

You'll need :

• Hands-on experience with AWS, including S3, basic networking concepts such as VPC, subnets, security groups and AWS data services e.g. RDS, Glue, Athena, Redshift, DynamoDB

• Strong proficiency in Terraform/CloudFormation and Python

• Experience using GitLab for source control and collaboration

• A background in solving highly complex, analytical and numerical problems

• Experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance