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EPAM
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Senior Mobile DevOps Engineer

EPAMPoland
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
11 tags

Technology context

11

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSGenAIAzureRAGGCPCloud NativeCloudDevOpsCI/CDMobile Cloud

Full listing

Role description

We are seeking a skilled Senior Mobile DevOps Engineer to enhance our mobile application development processes. The ideal candidate will focus on automating and optimizing our CI/CD pipelines and ensuring efficient deployment cycles across Android and iOS platforms.

Responsibilities

  • Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines using Bitrise and GitHub
  • Implement and manage release processes through Google Play Console for Android and TestFlight and App Connect for iOS applications
  • Automate build and release processes using Fastlane to streamline deployment and testing
  • Integrate and maintain Datadog for application monitoring
  • Collaborate with development teams to integrate new features and tests into automated pipelines
  • Monitor the performance of live apps and work on optimizing them through continuous feedback from Datadog and other monitoring tools
  • Ensure compliance with all digital security protocols during the build and release processes
  • Document the CI/CD process and update as necessary to ensure up-to-date practices and tools are employed
  • Troubleshoot and resolve issues in the CI/CD pipelines to reduce downtime and improve the efficiency of the deployment process

Requirements

  • 5+ years of experience in DevOps
  • Experience in mobile application deployment processes and CI/CD pipelines for Android and iOS applications
  • Experience with releases for Android and iOS mobile applications, ideally with Google Play Console, TestFlight, and App Connect
  • Experience with Bitrise and Fastlane
  • Experience with Cloud providers (AWS/GCP/Azure)
  • Knowledge of Cloud-Native AI and Generative AI services
  • Working knowledge of AI architecture patterns including RAG, agentic workflows, multi-agent systems, tool/function calling, grounding, prompt management, evaluation, and responsible AI
  • English proficiency at B2 level or higher