Manager, Engineering

Overview

Lead a globally distributed mobile engineering organization building secure, scalable, AI-enabled enterprise mobile experiences, driving modern mobile architecture, cloud-native backend services, AI-native software delivery, engineering excellence, and people leadership.

What you'll do

• Provide technical and organizational leadership for globally distributed engineering teams.
• Lead architecture evolution toward modular mobile applications backed by cloud-native microservices.
• Drive adoption of AI-enabled Software Development Lifecycle (AI-SDLC/ADLC), including AI-assisted design, coding, testing, documentation and code reviews.
• Champion Agentic SDLC practices and responsibly integrate AI coding assistants to improve engineering productivity.
• Mentor engineering managers and senior engineers through coaching, career development and technical leadership.
• Own hiring, performance management, succession planning and team growth.
• Partner with Product Management, UX, Security and Platform Engineering to deliver customer-centric capabilities.
• Establish engineering metrics including DORA, Flow Metrics, deployment frequency, MTTR and developer productivity KPIs.
• Drive engineering excellence through CI/CD, automated testing, DevSecOps, observability and secure coding practices.
• Lead production readiness, operational excellence, incident management and continuous improvement.

What you'll need

• 12+ years of software engineering experience with 5+ years leading high-performing engineering teams.
• Deep expertise in Android (Kotlin) and iOS (Swift) native development with MVVM, MVI, Clean Architecture, modular architecture, Jetpack Compose and SwiftUI.
• Strong understanding of enterprise mobile security including OAuth2, OpenID Connect, biometrics, certificate pinning and secure storage.
• Experience designing cloud-native backend systems using Java/Spring Boot, .NET Core, Go or Node.js.
• Strong knowledge of REST, GraphQL, gRPC, event-driven architectures and microservices.
• Hands-on experience with Docker, Kubernetes/EKS and AWS or Azure.
• Experience with CI/CD, GitHub Actions/Azure DevOps, Infrastructure as Code and DevSecOps.
• Experience leveraging GitHub Copilot, Cursor, Claude Code or similar AI engineering tools.
• Knowledge of AI agents, Agentic SDLC, LLM-assisted development and responsible AI engineering.
• Excellent communication, stakeholder management and strategic leadership skills.

Nice to have

• Experience building reusable mobile platforms, SDKs and shared components.
• Experience leading monolith-to-microservices modernization.
• Experience with Platform Engineering and Internal Developer Platforms.
• Knowledge of RAG, MCP, AI agents and enterprise AI integration patterns.
• Experience in Identity Security, IAM or Cybersecurity products.

Details

• Location: Office - India - Hyderabad.
• Most teams work from the office full time, with flexibility when needed.
• Not eligible for immigration sponsorship.