Netskope: Principal Engineer, Engineering Productivity — Toronto, Ontario, Canada

Netskope lists a Principal Engineer, Engineering Productivity opening in Toronto, Ontario, Canada. The job description covers Python, Java, AWS, Kubernetes, Docker, Terraform, CI/CD.

Recruitment overview

OrganisationNetskope
Post / rolePrincipal Engineer, Engineering Productivity
DepartmentProductivity Engineering
Employment typeNot specified
Notification / job ID8036152
Job locationToronto, Ontario, Canada
Work arrangementNot specified
Educational qualificationSee the employer’s role-specific qualification criteria
Experience required15+ years of software engineering experience, with deep expertise in designing and building CI/CD platforms, with emphasis on Continuous Deployments
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

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 Principal Engineer, Engineering Productivity in Toronto, Ontario, Canada, under reference 8036152. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: Productivity Engineering
  • Employer listing date: 29 June 2026

Responsibilities and work described

  • The Engineering Productivity Team at NetSkope builds the foundational CI/CD systems that enable our engineers to deliver industry-leading security products with speed and quality
  • An experienced Principal Software Engineer to own and drive our CI/CD strategy, with a special focus on creating a fast, safe, and reliable path to production
  • Architecture: the next generation of developer tooling, directly accelerating our pace of innovation from commit to deployment
  • Architect, build, and scale robust CI/CD infrastructure for complex microservices environments
  • Strategize best ways for implementing the continuous deployment of dynamically growing Kubernetes/Docker-based microservices architectures
  • Leadership: the evaluation and integration of cutting-edge developer tools, including advanced automation and AI-powered solutions, to improve engineering velocity and productivity
  • Collaboration: with Netskope internal partner teams to ensure the platform meets stakeholder needs
  • Participate in an on-call rotation to ensure the reliability of the critical systems you build

Essential requirements and candidate background

  • 15+ years of software engineering experience, with deep expertise in designing and building CI/CD platforms, with emphasis on Continuous Deployments
  • A ability to lead technical strategy, influence cross-functional teams, and mentor other engineers
  • Problem-solving, analytical, and communication skills, with an insatiable curiosity and comfort in ambiguous, fast-paced environments
  • Deep expertise with modern technologies, including:
  • CI/CD, IaC & Automation: Infrastructure as Code (IaC) using Terraform and Helm; deployment pipelines using Drone or GitHub Actions
  • Experience: Spinnaker is a significant advantage
  • Cloud & Containers: AWS, Kubernetes, Docker, and experience orchestrating infrastructure for AI/LLM workloads
  • AI & Innovation: Experience integrating AI-powered tools, LLMs, or autonomous agents into developer platforms and infrastructure workflows to drive efficiency
  • Education
  • #LI-SD1
  • 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

  • Languages: Python, GoLang, knowledge with Java Spring framework would be preferred
  • BSCS or equivalent required, MSCS or equivalent strongly preferred

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

  • Advertised location: Toronto, Ontario, Canada

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 Principal Engineer, Engineering Productivity vacancy is not an offer for reference 8036152; 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 8036152.

Compare your qualifications and experience with the essential conditions for the Toronto, Ontario, Canada 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
  • Java
  • Kubernetes
  • CI/CD
  • Docker
  • AWS
  • AI/ML
  • LLMs
  • Terraform
  • AI

Important links

Official notification / job descriptionOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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