Software Engineer- AI

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NatWest Group

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python RedShift Athena Glue VPC AWS DynamoDB Amazon S3 RDS GitLab

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 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
  • Experience using GitLab for source control and collaboration
  • 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

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