Senior Software Engineer

Job Description:

We as a Platform Team supports data producers, data consumers and data governance teams making products discoverable with the right design and technology, (this is done with the metadata backbone concept and components for data quality, data pipelines, data sharing etc). The platform is enabled by technical services, software components and frameworks.

The scope of the consultant services is to assist in

you have experience working with APIs, building applications & secure coding practices. You have proven abilities with DevOps practices and its supporting technologies. You have a curious nature and actively acquire new knowledge, skills, champion new methods, and processes to improve performance. Independently drive tasks and improve/find better ways.

By encouraging simplicity, efficiency, ownership, and accountability you easily collaborate with others to achieve our common goals.

To be successful as a backend engineer in the team, you have working experience of building APIs and applications within GCP. Experienced with DevOps practices and supporting technologies, such as CI/CD, Terraform Google Cloud Platform Provider. You enhance system reliability, performance, and operational efficiency using Ingka best practices around service level objectives (SLOs), error budgets, and service level indicators (SLIs). In addition, you have demonstrable experience in working in an Agile and DevOps working set-up. You get energized by keeping high quality, compliant and secure technical solutions promise.

Requirements:

Backend programming using Python building API first applications

Utilize and lead the work with DevOps mindset

Implement Infrastructure as Code (IaC) principles using tools like Terraform, GitHub, or similar technologies.

Working with secure best practices within GCP

Drive continuous improvement initiatives to enhance system reliability, performance, and operational efficiency using Ingka best practices around service level objectives (SLOs), error budgets, and service level indicators (SLIs).

Technology stack:

CI/CD: Git/Github/Github Actions

Cloud: Google Cloud Platform

Programming backend: Python, Terraform, Docker, Kubernetes

Programming frontend: JavaScript/Typescript, React