Sr Cloud Product Engineer - Fully Remote Opportunity
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
First seen 15d ago
No source stated a posting date, so this is when the listing first reached us — which is a floor, not the real age. Last seen at its source 9h ago.
We have tracked this listing since 18 Oct 2026 (15 days). The employer's own board has carried it every time we have read it, most recently 9 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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JazzHR employer's own board first seen 15d ago · last seen 9h ago
The listing
The Sr Cloud Product Engineer, is a senior hands-on engineering role responsible for the security, automation, compliance, and operational foundations of the Managed AI platform. This role partners closely with the Lead Engineer and Lead Architect to build highly automated, secure, and scalable delivery practices across Azure, GCP, and future cloud environments.
The position focuses on CI/CD automation, platform security controls, compliance automation, Infrastructure as Code, observability, and AI governance enforcement. This role acts as a technical leader for platform engineering practices while remaining actively involved in engineering, automation, security implementation, and incident response. The Managed AI platform requires strong governance, security, identity, monitoring, and lifecycle controls as foundational capabilities.
Key Responsibilities- Design, implement, and maintain enterprise CI/CD pipelines supporting Managed AI platforms and services.
- Develop Infrastructure as Code solutions for Azure, GCP, and future cloud environments.
- Implement automated security controls throughout the software delivery lifecycle.
- Build automated compliance validation and governance enforcement capabilities.
- Implement continuous security scanning, vulnerability management, and policy enforcement.
- Develop observability, monitoring, alerting, and operational automation solutions.
- Build automated deployment mechanisms supporting zero-downtime releases.
- Implement secret management, credential rotation, and privileged access controls.
- Support prompt protection, AI governance, DLP integration, and enterprise AI security controls.
- Integrate platform security tooling including Microsoft Defender, Cyera, Model Armor, and other enterprise security solutions.
- Support production release management and critical incident response activities.
- Mentor offshore engineers and contractors while remaining a hands-on technical contributor.
- Participate in architecture reviews, code reviews, platform standards, and engineering governance activities.
- Strong DevSecOps and Platform Engineering experience.
- Expertise with Terraform, GitHub Actions, GitHub Workflows, Azure DevOps, PowerShell, and automation frameworks.
- Experience building enterprise CI/CD pipelines and deployment automation.
- Strong Azure and GCP knowledge.
- Experience implementing Infrastructure as Code at enterprise scale.
- Experience with monitoring, observability, logging, and alerting platforms.
- Strong understanding of cloud security, identity, networking, governance, and compliance controls.
- Morden tech stack - .NET, Python ,React.
- Experience supporting high-availability production environments.
- Strong scripting and automation skills.
- Experience with AI security frameworks and governance controls.
- Experience implementing DLP, prompt inspection, prompt masking, and AI security controls.
- Familiarity with Azure AI, Vertex AI, OpenAI, Gemini, and Anthropic ecosystems.
- Experience with Microsoft Defender Suite, Cyera, Model Armor, and related security products.
- Morden tech stack - .NET, Python ,React.
- Knowledge of FinOps, cost optimization, chargeback automation, and cloud governance.
- 8+ years in DevOps, Platform Engineering, Security Engineering, or Automation Engineering.
- 3+ years supporting large-scale cloud platforms.
- Experience operating within regulated enterprise environments.
- Demonstrated ability to provide technical leadership while remaining hands-on.