IT & Software

R&D Software Engineer

Aveva Group

Cambridge · Cambridgeshire · United Kingdom

Overview

In this Software Engineer role within the Cloud UE team, you design, build, and operate SaaS services on AWS to deliver AVEVA’s Unified Engineering products. You’ll work across serverless APIs, identity flows, Windows-centric infrastructure, and desktop streaming, while contributing to CI/CD and automation and supporting security, reliability, and performance. It’s an early-career position with mentoring, a broad modern stack, and a chance to grow quickly. You join a collaborative team that owns what it builds and shapes scalable cloud offerings.

Pay / Benefits
  • Flexible benefits fund
  • 28 days annual leave plus bank holidays
  • pension
  • private medical insurance
  • education assistance program
  • life cover
Responsibilities
  • Design, develop, and support scalable AWS SaaS services
  • Develop integrations and serverless capabilities (API Gateway/Lambda, event-driven workflows, identity/SCIM with AVEVA CONNECT)
  • Operate and improve cloud environments (WorkSpaces Applications, EC2, FSx, Active Directory, DynamoDB) with observability and cost/performance focus
  • Contribute to CI/CD and infrastructure automation (Azure Pipelines, CloudFormation, Step Functions); collaborate in agile planning; troubleshoot and communicate risks
  • Write clean, tested, documented code and support security/automation in delivery
Key requirements
  • Proactive, self-starting, ownership-driven mindset
  • Curious and growth-minded attitude to learn new technologies
  • Ability to work autonomously in a distributed team
  • Resilient, collaborative communicator with clear written and verbal skills
  • Proactivity
  • Curiosity and growth mindset
  • Independent work style
  • AWS fundamentals: VPC, EC2, S3, IAM/security groups; serverless basics (API Gateway, Lambda, DynamoDB)
  • Containers and monitoring: Docker, ECS, CloudWatch, Datadog
  • Programming languages: C#, JavaScript/TypeScript (Angular/Node.js); solid Git workflows

Reference: WJ-747_30146612

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