Software Engineer (Cloud Application)
Indexed description
Working alongside fellow engineers, your Engineering Manager, Technical Lead, Product Owner and Product Manager, you will contribute to iterative delivery across the full software lifecycle — including cloud-native architecture, CI/CD pipelines, frontend and backend development, resilience engineering, and test automation. You will also have the opportunity to explore and apply emerging technologies, including GenAI-assisted development workflows, as we continuously evolve how we build and operate software.
[What you will be working on]
Have 3+ years of frontend and/or backend software engineering experience building scalable, enterprise-grade products on commercial cloud, with demonstrated ability across the following:
- Proficient in modern frontend and backend web application development, with experience in frameworks such as React, FastAPI, Express.js, Spring, or Django
- Experienced in cloud-native and serverless engineering on commercial cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure
- Experienced in loosely coupled architecture and application integration patterns such as microservices, with the ability to design and build systems that are scalable, fault-tolerant, and resilient
- Experienced in event-driven and asynchronous design patterns, with familiarity in messaging and streaming technologies such as Amazon SQS, SNS, and Kinesis
- Experienced in working with relational and non-relational data stores such as PostgreSQL and Amazon DynamoDB
- Experienced in containerisation and infrastructure-as-code practices, using tools such as Docker, Amazon ECS, and Terraform
- Embraces a DevSecOps mindset, with practical experience in CI/CD pipelines using tools such as Git, GitLab, and GitHub
- Understands Secure-by-Design principles within Agile delivery, including Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST)
- Practises Test-Driven Development and has experience with automated testing across the stack
- Has exposure to application and database performance optimisation
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