Cloud Platform Engineer (DevSecOps & Data)

Industry: Automotive

Location: Hybrid in Kraków (2-3 dni w tygodniu z biura)

Rate: up to 180 pln/h on b2b

We are looking for an experienced Cloud Specialist with strong hands-on expertise in cloud-native engineering, DevSecOps automation, and modern data platform architecture. The engineer will design, implement, secure, and operate scalable cloud platforms that support software engineering, observability, data processing, analytics, and enterprise platform engineering use cases. This role requires fluent English communication and frequent collaboration with engineering teams across APAC, Europe, and North America.

Key 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 Lambda, SQS, EventBridge, Step Functions, CloudWatch, and equivalent Azure services.

• Implement lakehouse patterns such as Landing, Bronze, Silver, and Gold data layers using object storage, catalogs, and distributed processing.

• Implement cloud security controls including IAM/RBAC, secrets management, encryption, audit logging, vulnerability scanning, and policy-as-code.

• Create technical documentation, runbooks, architecture diagrams, operating procedures, and engineering standards.

Key Requirements:

• Strong AWS experience across compute, storage, networking, security, serverless, monitoring, and data services.

• Knowledge of Azure services such as Azure Functions, Event Grid, Service Bus, Data Lake Storage, Azure Monitor, Key Vault, Azure DevOps, GitHub integration, Synapse, Fabric, or equivalent services.

• Hands-on experience with Terraform, GitHub Actions, GitHub Apps, CI/CD design, GitOps practices, and automation frameworks.

• Experience with containerization and orchestration using Docker, Kubernetes, EKS, AKS, or similar platforms.

• Understanding of data lake/lakehouse architecture using Amazon 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.

• Strong understanding of event-driven architecture, queues, topics, event buses, workflow orchestration, APIs, and distributed system integration.

• Good understanding of cloud networking, DNS, certificates, private connectivity, logging, monitoring, and operational resilience.

Nice to Have:

• AWS Solutions Architect, AWS DevOps Engineer, Azure Solutions Architect, Azure DevOps Engineer, or equivalent certifications.

• Experience in enterprise software engineering, automotive, embedded software, regulated environments, or large-scale engineering platforms.

• Experience with software engineering metrics, observability, data governance, security compliance, and reusable platform capabilities.