Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Agile
CI/CD @ 4
Docker @ 4
GCP @ 6
Go
Kubernetes @ 4
Networking @ 4
Terraform @ 6
Vertex AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ING Hubs Poland is hiring for a full-time platform engineering position supporting data-driven products and a Data Analytics Platform built on Google Cloud.
Responsibilities
- Build a platform and support its tenants.
- Maintain data analytics platform components.
- Develop architectures and conduct experiments.
- Prepare cloud-ready, Infrastructure-as-Code-based solutions.
- Manage monitoring and alerting for the platform.
- Provide on-call support to users.
- Contribute to data-driven products within the AAI Delivery & Transformation organization.
- Work within a distributed, multinational, and multicultural team using agile, lean, and design thinking methodologies.
Requirements
- 4+ years of experience or knowledge with GCP.
- Experience building data platforms on GCP using managed services such as Cloud Run, Vertex AI, GKE, BigQuery, and Dataproc.
- Experience building infrastructure automation services using Golang.
- An Infrastructure-as-Code mindset; Terraform is used in the role.
- Experience with deployment and provisioning automation tools, including Docker, Kubernetes, and CI/CD.
- Hands-on experience with monitoring, logging, and alerting.
- Ability to clearly express ideas, facts, and opinions, including elaborating complex ideas in design documents.
- Understanding of networking concepts, including VPC, DNS, load balancing, and firewalls.
Additional Qualifications
- Knowledge of secure authentication and encrypted workloads, including OIDC, KMS, and client/server SSL/TLS.
- Contributions to open-source projects.
- An automate-everything mindset.
Team Information
The role supports the development of data-driven products within ING's AAI Delivery & Transformation organization. ING is building its Data Analytics Platform in Google Cloud to become more data-driven. The position involves working with modern technologies for processing large amounts of data, developing architectural foundations, aligning business problems with appropriate technologies, and helping the team grow.
The role naming convention in the global ING job architecture is “Engineer IV.”
Compensation
The expected monthly salary is 13,000–28,000 PLN. The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.