Scope: 100 %
Period: 2026-11-02 - 2027-04-30.
Assignment Description
Data & Analytics is looking for a Senior Platform Engineer with strong hands-on Google Cloud Platform experience to strengthen our Platform & Enablement capability.
The consultant will work with the design, development and continuous improvement of cloud-based platform capabilities supporting Data & Analytics teams. The assignment combines hands-on engineering with platform design, automation, security, reliability and developer enablement.
We are looking for a senior engineer who can work independently in a complex enterprise environment, collaborate closely with platform engineers, data engineers, architects and security stakeholders, and contribute both operationally and strategically to the evolution of our GCP-based platform.
Responsibilities
- Design, build and improve platform capabilities on Google Cloud Platform
- Work hands-on with GKE/Kubernetes and container-based workloads
- Develop and maintain Infrastructure as Code, primarily using Terraform
- Contribute to CI/CD and GitOps-based delivery patterns
- Work with GCP networking, IAM, security and access management
- Develop reusable platform components and enable self-service for engineering teams
- Contribute to monitoring, logging, observability and operational reliability
- Support engineering teams onboarding workloads onto the platform
- Work closely with architects, security and engineering teams to ensure scalable and secure platform solutions
- Contribute to technical standards, patterns and long-term platform improvements
Mandatory Requirements
- Senior-level professional experience in Platform Engineering / Cloud Engineering / DevOps
- Several years of hands-on production experience with Google Cloud Platform
- Strong practical experience with GKE and Kubernetes
- Strong hands-on experience with Terraform / Infrastructure as Code
- Experience designing or developing cloud platform foundations / landing-zone capabilities
- Experience with IAM, workload identity, networking and cloud security
- Strong experience with CI/CD and automated software/infrastructure delivery
- Experience with monitoring, logging and observability in cloud environments
- Experience supporting multiple development or engineering teams through common platform capabilities
- Ability to work independently and take technical ownership in a complex enterprise environment
- Strong communication skills in English
Highly meriting
- GCP data services, for example BigQuery, Dataflow and Pub/Sub
- Apache Beam
- Data ingestion and/or streaming platforms
- GitOps
- Helm
- Backstage or Internal Developer Platforms
- Python and Bash
- Google Cloud networking and security services
- Multi-cloud environments involving GCP together with Azure and/or AWS
- Platform engineering in regulated or security-sensitive enterprise environments
- Developer self-service and platform enablement
Seniority
The consultant is expected to be comfortable taking significant technical ownership while remaining hands-on in implementation.
Location / working model
Solna / Stockholm.
Hybrid setup with presence onsite as part of the assignment.