Mgr, SW Engineering (NetSec) Bangalore

Your Career

This is an exciting opportunity for an early-stage Engineering Manager to lead a team building internal cloud SDLC and AI enablement platforms that improve developer productivity reliability and operational efficiency across the organization.
You will manage a team of engineers delivering core platform capabilities spanning CI/CD Git workflows artifact management observability and AI-assisted developer tooling while owning day-to-day execution people leadership and operational health.

Your Impact

Team Leadership & Delivery

• Manage and mentor a team of 58 software engineers
• Own sprint planning execution and delivery for assigned platform domains
• Maintain delivery quality predictability and technical excellence
• Balance feature delivery with platform stability operations and tech-debt reduction
• Provide regular feedback coaching and career guidance to team members

Technical Execution (Hands-on Leadership)

• Stay hands-on to build guide system design architecture and code reviews
• Review and validate designs for scalability reliability and security
• Guide engineers through debugging and resolving complex production issues
• Ensure strong engineering standards across code tests and documentation

SDLC & Developer Productivity Platforms
Own and evolve internal platforms supporting the end-to-end developer lifecycle including:
Source Control & Git Workflows

• Standardized Git workflows (branching PRs reviews approvals)
• PR automation (checks policy enforcement CI triggers)
• Developer experience improvements around repo templates and tooling

CI/CD & Build Systems

• Shared CI/CD capabilities:
  • Linting and code-quality gates
  • Unit integration and security tests
  • Reusable pipeline templates
• Integration with build systems and deployment pipelines
• Enable faster feedback loops and safer releases

Artifact & Dependency Management

• Ownership of artifact repositories (container images binaries packages)
• Standardization of:
  • Base images
  • Versioning strategies
  • Promotion across environments
• Governance around artifact retention security scanning and provenance

Platform Security & Governance

• Integrate security controls into the SDLC:
  • Static and dependency scanning
  • Image vulnerability scanning
  • Policy-as-code where applicable
• Ensure secure defaults without harming developer velocity
• Partner with security teams on compliance and best practices

AI Enablement & Automation

• Deliver platform features leveraging GenAI to improve productivity:
  • Test generation and automation helpers
  • RAG-based developer assistants
  • Workflow automation using agents
• Ensure AI features are:
  • Reliable
  • Secure
  • Easy to adopt by engineering teams

Operations & Reliability

• Own operational health of platform services:
  • Monitoring alerting dashboards
  • Incident response and on-call readiness
• Drive blameless post-incident reviews and follow-ups
• Track and improve MTTR availability and operational toil

Cross-Team Collaboration

• Work closely with:
  • Application teams consuming the platform
  • Peer engineering managers
  • Product and security partners
• Communicate clearly on progress risks and trade-offs
• Act as the execution owner for platform initiatives defined by leadership

Qualifications :

Your Experience 

• 812 years of software engineering experience
• 13 years of people or technical leadership experience
• Strong development experience in Python and/or Go
• Experience building backend services or APIs (FastAPI or similar)
• Solid understanding of:
  • Git and modern code review practices
  • CI/CD systems and pipelines
  • Artifact repositories and container registries
• Hands-on experience with Kubernetes and containers
• Experience working in at least one public cloud
• Strong debugging troubleshooting and incident management skills

Preferred

• Experience building or operating internal developer platforms
• Familiarity with GitOps Helm and release automation
• Exposure to GenAI concepts (RAG agents prompt orchestration)
• Knowledge of observability systems (metrics logs traces)
• Understanding of RBAC IAM and SDLC security practices
• Experience with large-scale build or deployment systems

Additional Information :

The Team

The CIPE (Cloud Infrastructure and Platform Engineering) team operates as a force multiplier for a global engineering organization of over 2700 engineers. We manage a complex polyglot environment (C C Java Go Python etc.) across hundreds of services and a large-scale cross-cloud work is organized into four primary pillars that span the entire Software Development Life Cycle (SDLC):

Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at  .

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace and all qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex (including pregnancy) sexual orientation or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time