Job Description

About the role

The Digital Experience Management (DEM) Engineering team builds distributed systems for efficient data ingestion, processing, storage and query. The team is also responsible for building products for Real User Monitoring and Synthetic Monitoring. We work closely with the various Engineering, Data Science, and the Product Team to build highly scalable systems that tackle real-world networking, application and end user monitoring problems and provide our customers with accurate, real-time insights and alerts.

As the Senior Engineering Manager you will be driving teams responsible for designing, developing, testing and operating highly reliable and scalable data pipeline and cloud services.

What’s in it for you

• Manage a high caliber globally distributed engineering team.
• Work in a hot interdisciplinary space of Network/Application Performance Monitoring (N/APM), Data Engineering and AI.
• Opportunity to solve greenfield problems in one of top priorities and highest growing products at Netskope.
• Opportunity to collaborate with cross functional groups like product management, data science and UX to launch high impact features and functionalities.
• Use modern development, testing and deployment methodologies to deliver software services to our customers.

What you will be doing

• Provide hands-on leadership to drive cross functional scrum teams consisting of data, backend, data science QE and UI engineers.
• Develop long term engineering vision of the product areas owned.
• Review code, technical design and architecture on an ongoing basis.
• Maintain a high bar for engineering excellence and accountability.
• Collaborate with the Product Management, Data Science, UX and peer engineering teams to build new features.
• Hire, train and assess the performance of direct reports across different levels.
• Assist in the growth of employees through coaching, training and career development activities.
• Handling customer escalations, performing root cause analysis and driving customer issues to closure.

Required skills and experience

• At least 15+ years of relevant software engineering experience.
• At least 3 yrs of experience managing high performing engineering teams.
• Experience in leading at least one customer facing cloud service end to end is mandatory.
• Experience with AI driven and spec driven software development is mandatory.
• Demonstrated experience in using Agentic AI to improve developer productivity of the engineering team is mandatory.Comfortable in using tools like Claude Code, Cursor, Codex or similar.
• Prior experience in data engineering is preferable.
• Prior experience in building data processing systems using Clickhouse, Apache Iceberg, Apache Spark, Kafka or similar is preferred.
• Prior experience of building large scale time series data stores or metric stores is preferable.
• Prior experience building real user monitoring and synthetic monitoring solutions is preferable.
• Prior experience working in Product organizations and ability to collaborate with UX, Data Science, Product Management and other engineering teams is preferable.
• Experience in participating in product grooming, scoping, planning and delivery of complex software products and features.
• Demonstrated ability to bootstrap teams for greenfield initiatives, set processes and guidelines (eg : shift left quality, CI/CD).
• Comfortable using frameworks like OKR, to measure the productivity of the team and hold them accountable.
• Prior experience in backend programming languages like Java / Golang is required.
• Demonstrable experience in guiding modern software engineering teams building microservices.
• Prior experience of building and operating services in public clouds like AWS will be a huge plus.
• Strong written and verbal communication skills, and the ability to communicate in an open, transparent , collaborative and in a consistent manner with other teams and your co-workers.
• Strong people skills with prior experience of hiring, coaching, retaining and performance management of engineers at different levels of experience.
• Prior experience of synthesizing data and presenting the work done by teams to the senior leadership team.

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred

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