Sr. Mobile Devops

Job Title:

Job Description

Job Title

Senior Mobile DevOps Engineer – AI Development

Experience

6–10 Years

Role Summary

Senior Mobile DevOps Engineer responsible for iOS and Android build, release, CI/CD, automation, mobile security, cloud, observability, and AI-enabled DevOps. Owns mobile delivery pipelines and improves engineering productivity, quality, reliability, and release speed.

Key Responsibilities –

Mobile DevOps

• Design and maintain CI/CD pipelines for iOS and Android.
• Automate build, test, signing, packaging, deployment, and release.
• Manage Apple certificates, provisioning profiles, App Store Connect, and TestFlight.
• Manage Android keystores, signing, Google Play Console, and production releases.
• Automate promotion across Dev, QA, UAT, and Production.
• Manage configurations, secrets, feature flags, and release parameters.
• Improve build/deployment reliability and speed.
• Implement rollback and release governance.
• Collaborate with developers, QA, security, cloud, and platform teams.
• Troubleshoot build, dependency, signing, and production release issues.

CI/CD & Automation

• GitLab CI/CD
• Azure DevOps
• Fastlane
• Gradle
• xcodebuild
• CocoaPods
• Swift Package Manager
• Android Gradle Plugin
• Artifact repositories

Mobile Platform Skills

• iOS build and release lifecycle
• Xcode and xcodebuild
• Apple Developer Portal
• App Store Connect
• TestFlight
• Provisioning profiles and certificates
• Code signing
• Android SDK
• Gradle
• Android Keystore
• Google Play Console
• Internal / Closed / Production releases

Cloud & Infrastructure

• AWS / Azure / GCP
• Docker
• Kubernetes
• Cloud-native CI/CD services
• Secrets management
• Infrastructure as Code
• Terraform or equivalent
• Linux administration
• Networking fundamentals

Testing & Quality Automation

• XCTest / XCUITest
• JUnit / Espresso
• Appium or equivalent
• API testing
• Static code analysis
• Security scanning
• Performance and crash testing
• Quality gates in CI/CD pipelines

Mobile Security & DevSecOps

• Secure mobile build and release pipelines
• Certificate and signing-key management
• Secrets management and rotation
• SAST / SCA / dependency vulnerability scanning
• OWASP Mobile Application Security principles
• Secure artifact management
• Least-privilege access
• Auditability and release traceability

Observability & Operations

• Firebase Crashlytics
• Datadog / Splunk / CloudWatch or equivalent
• Release health monitoring
• Crash-rate and ANR monitoring
• Deployment metrics and dashboards
• Incident troubleshooting and root-cause analysis

AI / GenAI Skills

• Generative AI in DevOps or software delivery
• GitHub Copilot or equivalent AI assistants
• AI-assisted CI/CD pipeline generation and optimization
• AI-based build failure and log analysis
• AI-assisted test generation
• LLM-based crash and telemetry analysis
• OpenAI / Azure OpenAI / Amazon Bedrock integration
• Prompt engineering
• RAG for engineering knowledge
• AI agents and tool/function calling
• MCP-based tool integration

AI-Powered DevOps Use Cases

• AI-based CI/CD pipeline assistant
• AI-powered build failure diagnosis
• Automated release-note generation
• AI-assisted test generation
• AI-based crash and log analysis
• Release-risk prediction
• AI-powered incident triage
• Automated deployment documentation
• Engineering knowledge assistant using RAG
• Agentic automation for repetitive DevOps activities

Scripting & Programming

• Python
• Shell / Bash
• PowerShell
• YAML
• JSON
• Basic Swift / Kotlin / Java understanding
• REST APIs and automation scripting

Source Control & Collaboration

• Git
• GitHub
• GitLab
• Bitbucket
• Pull request workflows
• Branching strategies
• Code review automation
• Jira / Azure Boards or equivalent

Architecture & Engineering Practices

• Mobile CI/CD architecture
• Infrastructure as Code
• Immutable and reproducible builds
• Artifact versioning and promotion
• Environment management
• Release orchestration
• DevSecOps
• Shift-left quality and security
• High availability and disaster recovery principles

Leadership Responsibilities

• Define mobile DevOps standards and reusable pipeline frameworks.
• Mentor developers and DevOps engineers.
• Drive automation and reduction of manual releases.
• Establish engineering KPIs.
• Lead root-cause analysis for recurring build/release problems.
• Collaborate with architecture and engineering leadership on mobile platform strategy.

Key Performance Indicators

• Build success rate
• CI/CD pipeline reliability
• Build and deployment cycle time
• Release frequency
• Deployment success rate
• Change failure rate
• Mean time to recovery
• Mobile crash-free users / sessions
• Automation coverage
• Reduction in manual release effort
• Security vulnerabilities detected and remediated
• AI-assisted productivity improvements

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 6+ years of DevOps / platform engineering experience.
• Strong hands-on iOS and/or Android CI/CD experience.
• Production mobile release experience.
• Strong scripting and automation skills.
• Cloud and DevSecOps experience.
• Practical GenAI experience in engineering or DevOps workflows.
• Strong communication and troubleshooting skills.

Good to Have

• Fastlane expertise
• Firebase App Distribution
• Bitrise
• Codemagic
• BrowserStack / device-farm experience
• Terraform
• Kubernetes
• Azure AI Foundry
• OpenAI Agents SDK
• LangChain / LangGraph
• MCP
• RAG and vector databases
• AI agent development

Ideal Candidate Profile

A strong mobile DevOps engineer who can independently own enterprise iOS and Android CI/CD and release engineering while evolving traditional DevOps into AI-enabled DevOps. Combines deep mobile build/release expertise, automation, DevSecOps, cloud, observability, and practical GenAI capabilities.

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