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Salary
$72k – $88k per year
Location
In office (Kraków)
Seniority
Senior
Employment
Contractor

First seen by Alion on Oct 5, 2026.

Overview
Company
Impact
Profile match
W Infolet od 2005 roku realizujemy projekty IT w różnych modelach outsourcingu (tworzenie oprogramowania „end-to-end.

You will

  • Design, build and operate secure, scalable AWS and Azure cloud infrastructure
  • Develop DevSecOps automation, CI/CD workflows, reusable pipelines and infrastructure-as-code
  • Build and maintain platform engineering capabilities and automation frameworks
  • Implement event-driven and serverless solutions using Lambda, SQS, EventBridge, Step Functions and CloudWatch
  • Support data platform engineering across ingestion, transformation, governance, cataloguing, data quality and serving
  • Implement data lake/lakehouse architectures using Landing, Bronze, Silver and Gold layers
  • Work with Apache Iceberg, AWS Glue Data Catalog, Spark and EMR Serverless
  • Implement cloud security controls including IAM/RBAC, secrets management, encryption, audit logging, vulnerability scanning and policy-as-code
  • Work with containerised environments using Docker and Kubernetes, including EKS/AKS
  • Create technical documentation, architecture diagrams, runbooks, operating procedures and engineering standards
  • Troubleshoot complex cloud, infrastructure, integration and platform issues
  • Collaborate with engineering teams, architects and stakeholders across multiple regions


Kogo poszukujemy?

Must have

  • Strong hands-on experience with AWS across compute, storage, networking, security, serverless, monitoring, and data services
  • Working knowledge of Azure, including services such as Azure Functions, Event Grid, Service Bus, Data Lake Storage, Azure Monitor, Key Vault, Azure DevOps, Synapse, or Fabric
  • Strong experience with Terraform and Infrastructure as Code
  • Hands-on experience with GitHub Actions, CI/CD, and GitOps practices
  • Experience with Docker and Kubernetes, preferably EKS, AKS, or equivalent
  • Strong understanding of data lake/lakehouse architecture
  • Experience with Amazon S3 / Azure Data Lake Storage, AWS Glue Data Catalog, Apache Iceberg, Spark, EMR Serverless, Databricks, Synapse or Microsoft Fabric
  • Understanding of event-driven architecture, queues, topics, event buses, workflow orchestration and APIs
  • Experience with databases or serving platforms such as PostgreSQL, OpenSearch or Neo4j
  • Good understanding of cloud networking, DNS, certificates, private connectivity, logging, monitoring and operational resilience
  • Strong troubleshooting and problem-solving skills
  • Fluent English and ability to work effectively with globally distributed teams

Tech stack

AWS, Azure, Terraform, GitHub Actions, CI/CD, GitOps, Docker, Kubernetes

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