
Cloud Platform Engineer (DevSecOps & Data)
emagine Polska
Kraków, Pl-6P, Poland • 39m ago • On-site
Senior
On-site
332,800 - 374,400 PLN/yr
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Quick Facts
- Hybrid role in Kraków (2–3 days/week in office)
- Rate: up to 180 PLN/h (B2B)
Description
We are looking for an experienced Cloud Platform Engineer specializing in DevSecOps automation and modern data platform architecture. You will design, implement, secure, and operate scalable AWS/Azure cloud platforms supporting software engineering, observability, and data processing/analytics use cases. The role includes frequent collaboration with engineering teams across APAC, Europe, and North America.
Responsibilities
- Design, build, and operate secure, scalable cloud infrastructure across AWS and Azure
- Develop and maintain DevSecOps automation, CI/CD workflows, reusable pipelines, infrastructure-as-code, and platform engineering services
- Support data platform engineering across ingestion, transformation, governance, cataloging, quality, and serving layers
- Build event-driven and serverless workflows using AWS and equivalent Azure services
- Implement lakehouse patterns (Landing/Bronze/Silver/Gold) using object storage, catalogs, and distributed processing
- Implement cloud security controls: IAM/RBAC, secrets management, encryption, audit logging, vulnerability scanning, and policy-as-code
- Create technical documentation, runbooks, architecture diagrams, operating procedures, and engineering standards
Requirements
- Strong AWS experience across compute, storage, networking, security, serverless, monitoring, and data services
- Knowledge of Azure services including Azure Functions, Event Grid, Service Bus, Data Lake Storage, Azure Monitor, Key Vault, Azure DevOps, GitHub integration, Synapse, Fabric (or equivalents)
- Hands-on experience with Terraform, GitHub Actions, GitHub Apps, CI/CD design, GitOps practices, and automation frameworks
- Containerization and orchestration experience with Docker and Kubernetes (EKS/AKS or similar)
- Understanding of data lake/lakehouse architecture using S3 or Azure Data Lake Storage, AWS Glue Data Catalog, Apache Iceberg, Spark, EMR Serverless, Databricks, Synapse, or Fabric
- Experience with databases and serving platforms such as PostgreSQL, OpenSearch, Neo4j, SQL engines, and analytics/reporting integrations
- Understanding of event-driven architecture, queues/topics, event buses, workflow orchestration, APIs, and distributed systems integration
- Good understanding of cloud networking, DNS, certificates, private connectivity, logging, monitoring, and operational resilience
Benefits
- Rate up to 180 PLN/h (B2B)
- Hybrid work in Kraków (2–3 days/week in office)
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