Netskope: Platform Engineer (Agent Release) — Taguig, Taguig, Philippines

Netskope lists a Platform Engineer (Agent Release) opening in Taguig, Taguig, Philippines. The job description covers Python, AWS, Docker, Terraform, CI/CD, AI, audit.

Recruitment overview

OrganisationNetskope
Post / rolePlatform Engineer (Agent Release)
DepartmentInformation Technology
Employment typeNot specified
Notification / job ID8078769
Job locationTaguig, Taguig, Philippines
Work arrangementNot specified
Educational qualificationSee the employer’s role-specific qualification criteria
Experience requiredAt least 5 years in CI/CD, release engineering, or MLOps, including 1–2 years releasing LLM or agent-based systems specifically
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 Platform Engineer (Agent Release) in Taguig, Taguig, Philippines, under reference 8078769. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

  • Department: Information Technology
  • Employer listing date: 22 July 2026

Subjects named in the job description

The posting mentions the following work areas. These references are not a separate list of compulsory certifications.

  • Python
  • CI/CD
  • Docker
  • AWS
  • AI/ML
  • LLMs
  • Terraform
  • AI
  • audit
  • pricing

Essential requirements and candidate background

  • Own and continuously improve the CI/CD pipeline every agent and every model or prompt change moves through, from initial commit through sandbox, development, and staging, before anything reaches production
  • Own model tiering across the agent fleet: routing agents to the model tier that actually fits their task complexity, and adjusting that routing as usage patterns or model pricing change
  • Manage the shadow-period process for newly promoted agents, making sure the right metrics and review checkpoints are actually in place and visible before an agent moves from shadow to fully autonomous operation
  • Run model version regression testing whenever a new model version becomes available, confirming existing agents don't silently degrade before that version gets adopted anywhere in production
  • Partner with the Agent Runtime Engineer on the runtime side of releases to quickly troubleshoot issues in case of a bad rollout
  • Must-Have:
  • At least 5 years in CI/CD, release engineering, or MLOps, including 1–2 years releasing LLM or agent-based systems specifically
  • Python (or similar) and infrastructure-as-code skills
  • Terraform, CDK, GitHub Actions, or CodePipeline all count
  • Comfortable building and deploying containerized services with Docker, and owning their release path through CI/CD end to end
  • Advantage:
  • Direct experience with AWS Bedrock, or something comparable, including its deployment and versioning quirks
  • Has made model tiering or cost-routing decisions — matched task complexity to model cost instead of defaulting everyone to the priciest option
  • Worked somewhere release pipelines needed to produce evidence for an audit, not just pass internally
  • Can explain the difference between traditional CI/CD (pass or fail) and AI release gating (thresholds and probability) to someone who's only worked in the former
  • That gap trips people up more than it should
  • #LI-CV1
  • 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

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: Taguig, Taguig, Philippines

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 Platform Engineer (Agent Release) vacancy is not an offer for reference 8078769; 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 8078769.

Compare your qualifications and experience with the essential conditions for the Taguig, Taguig, Philippines 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
  • CI/CD
  • Docker
  • AWS
  • AI/ML
  • LLMs
  • Terraform
  • AI
  • audit
  • pricing

Important links

Official notification / job descriptionOpen official page

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

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