DevOps Engineer (Mobile)
On-site · Pune, Maharashtra, India or Nashik, Maharashtra, India
Job Summary
DevOps Engineer (Mobile) responsible for designing, implementing, and maintaining mobile CI/CD pipelines for iOS and Android using Azure DevOps. Automates build, test, signing, and deployment workflows; manages GitHub repositories and pull-request workflows; tracks tasks and releases with Jira; collaborates with mobile developers and architects to align DevOps with platform standards; oversees app-store release processes including versioning and rollout; implements automated testing gates; monitors pipeline health and release stability; integrates security scanning and compliance checks; maintains mobile build infrastructure and runbooks; and explores AI-assisted tooling to improve efficiency.
Required Qualifications
- 5–8 years of overall experience in software engineering, DevOps, or infrastructure roles
- 3+ years of hands-on experience focused on mobile CI/CD pipelines (iOS & Android)
- Proven experience with mobile build systems such as Gradle, Xcode, and Fastlane
- Experience with app store submission and release automation (Google Play, Apple App Store)
- Strong experience in Agile/Scrum environments
- Hands-on experience in technical design and architecture discussions
- Familiarity with Flutter, React Native, or native mobile development is a plus
- Strong expertise in mobile CI/CD tooling – Fastlane, Bitrise, Codemagic, or equivalent
- Azure DevOps for pipeline management
- GitHub for version control and PR automation
- Jira for project tracking
- Xcode, Gradle, code signing, provisioning profiles, keystores
- Automated testing frameworks for mobile – unit, UI, integration
- App store deployment automation – release tracks, versioning, phased rollouts
- Cloud platforms (Azure preferred) and Docker basics
- YAML-based pipeline configurations for Azure DevOps and GitHub Actions
- Shell or Python scripting
- Secure coding and DevSecOps practices
- Mobile monitoring/observability tools (Firebase Crashlytics, Sentry, Datadog)
- AI tooling familiarity in pipeline optimization
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