Ebay Senior Manager Reliability Engieering 

India, Karnataka, Bengaluru 

495310652

What you will accomplish:

Leadership & People Management

• Lead and mentor a team of reliability engineers, fostering a strong culture of collaboration and continuous improvement.
• Conduct regular one-on-one meetings with team members, providing guidance, feedback, and support for their career development.
• Manage performance evaluations and provide constructive feedback and actively participate in all phases of growing the engineering organization through recruiting, team building, etc.
• Reliability Engineering, Operations & Governance
• Lead and coordinate engineering activities to successfully plan, communicate, and deliver on product features on time while designing for quality, observability, and scalability.
• Ensure full software lifecycle instrumentation from requirement ideation to software development to deployment.
• Drive the adoption of cloud-native technologies and standard processes, such as containerization, service mesh, microservices, etc.
• Collaboration with internal partners and team members:
• Reliability engineering and operations teams, product, and PMO on engineering resource allocation and project schedules in accordance with our strategic organizational priorities.
• SRE team to champion automation to enhance efficiency and reliability.
• Operations teams on maintaining a highly available telemetry and command/control infrastructure to ensure eBay’s products and services are available to our customers.
• Fleet management team on capacity planning, resource allocation, and cost optimization for the telemetry control plane.
• Information security teams to ensure integrity and compliance of the telemetry infrastructure by implementing appropriate security controls and monitoring.

What you will bring:

• 12-15 years of proven experience working in Infrastructure and software development and engineering organizations with 5 years’ experience in managing and leading both reliability engineering teams and software development teams.
• Excellent at communicating critical updates to organizational leaders and executives including AI-driven reliability trends and insights.
• Experience supporting medium or large tech organizations with many different internal customers and partners.
• Experience working collaboratively in large distributed global teams.
• Demonstrated ability to adopt and operationalize emerging AI tools, ensuring the team remains at the forefront of reliability engineering practices.
• Knowledge of software development, networking, security, and storage technologies in a cloud environment and proven understanding of cloud-native architectures, microservices, and DevOps and SRE principles.
• Passion for staying ahead of the curve in AI/ML innovation applied to observability, monitoring, and system reliability.