Netskope: Sr. DevOps Engineer, Data Platform — India

About Netskope

Netskope develops security and networking technology for cloud, data and AI environments. Its employer introduction identifies the Netskope One platform, a zero-trust engine and the NewEdge network as parts of that offering. The business describes giving organisations visibility and control while maintaining the performance of access to applications and information. This connects cybersecurity with networking: the products address both how digital resources are reached and how their use is controlled and protected.

The position and its setting

Netskope lists Sr. DevOps Engineer, Data Platform in India, under reference 8161047. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Data Engineering
• Employer listing date: 27 August 2026

Responsibilities and work described

• Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience
• We're looking for an engineer to ensure the reliable operation of production environments for our Data Infrastructure and products, running at scale on large-volume distributed cloud systems
• You'll focus on maximizing system reliability, automating routine tasks, and improving production efficiency
• This role offers hands-on exposure to modern cloud technologies — Docker, Kubernetes, networking, and platforms like AWS and GCP — while you contribute directly to system uptime and user experience for a large-scale distributed application
• You'll lead production monitoring and incident response, drive automation to reduce manual work, and collaborate with Engineering on root cause analysis, CI/CD support, and capacity planning
• Monitoring: Use observability dashboards to monitor system performance, error rates, and resource utilization
• Define new dashboards and alerts as and when required and write technical runbooks for Incident response
• Incident Response: Act as the initial point of contact for production alerts, mitigate/solve the ongoing issues, escalate highly complex problems to the Engineering team, and conduct thorough root cause analysis for incidents
• Automation: Identify repetitive manual tasks and streamline them through automation
• Support: CI/CD: Help create, test, and maintain automated application deployment pipelines
• Capacity Management: Assist in tracking system resource usage (CPU, memory, storage) and traffic volume to help forecast and scale infrastructure needs
• Required skills and

Essential requirements and candidate background

• 5+ years of overall industry experience in a relevant technical role
• Proficiency: at least one scripting language, preferably Python
• Experience: containerization and orchestration technologies such as Docker, Kubernetes, and related cluster concepts
• Understanding: public cloud infrastructure, with a preference for AWS (GCP experience also considered)
• Knowledge: Linux/Unix command-line environments and core web protocols including HTTP, gRPC, DNS, and TCP/IP
• Willingness to participate in an on-call rotation and respond to production incidents with flexibility to support critical systems
• Education
• #LI-JB3
• Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment
• Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details
• The application window for this position is expected to close within 50 days
• You may apply by filling out the below information, or visiting our Netskope Careers site

Preferred experience and additional strengths

• Experience: observability and monitoring tools such as Grafana and Prometheus is a plus
• Familiarity: Infrastructure as Code (IaC) using Terraform, along with workflow automation via GitHub Actions, is a plus
• BSCS or equivalent required, MSCS or equivalent strongly preferred

Location, schedule and contract conditions

• Advertised location: India

Benefits mentioned by the employer

• In this role, you will be responsible for seamless operation of production environments for our Data Infrastructure and products within large-scale, high-volume distributed cloud systems
• Concentrate on maximizing system reliability, automating routine tasks, and maintaining the efficiency of our production systems
• This role provides practical cloud exposure to help you deepen your expertise in modern technology stacks, such as Docker, Kubernetes, Networking, and major public cloud providers like AWS and GCP
• Have the chance to contribute to enhancing user experience and system uptime for a large-scale distributed application

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Sr. DevOps Engineer, Data Platform vacancy is not an offer for reference 8161047; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Netskope

Applications follow the official employer page linked below.

Open the official Netskope posting below and match the title and reference 8161047.

Compare your qualifications and experience with the essential conditions for the India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Kubernetes
• CI/CD
• Docker
• AWS
• GCP
• Google Cloud
• Linux
• Terraform