Software Engineer (Java, Kafka)

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.

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

You’ll also need:

• At least four to eight years of experience with Java, spring boot, kafka and MongoDB are desired
• Experience of working with development and testing tools, bug tracking tools and wikis
• Experience in multiple programming languages or low code toolsets
• Experience of DevOps and Agile methodology and associated toolsets
• 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