Global enterprises are turning to F5 Distributed Cloud to secure their multi-cloud future — and we're building a permanent, remote-first delivery team in Argentina to help deliver it. This is a full-time role on C-Serv's own books: real ownership, real client relationships, and a long-term seat on our F5 practice.

What you'll own

- Design and deploy F5 Distributed Cloud (XC) solutions across public, private, and hybrid cloud environments
- Deliver secure application networking, API protection (WAAP), and DDoS mitigation for enterprise customers globally
- Automate deployment and configuration using Terraform and Ansible
- Own the technical relationship with clients directly — proactive guidance, not just execution

Requirements

What you'll need

- Hands‑on F5 Distributed Cloud (XC) experience, or deep F5 BIG‑IP / WAAP / API security experience with the ability to ramp fast
- Strong networking and security fundamentals — BGP, DNS, IPSec, firewalls, routing
- Kubernetes and cloud‑native (AWS/Azure/GCP) exposure
- Strong written and verbal communication — you'll work across time zones with distributed teams and clients
- You must be based in, and remain based in, Argentina for the duration of your employment. This is a remote role, but it's Argentina‑based remote — not remote‑from‑anywhere.

What you'll get

- A permanent, full-time role directly on C-Serv’s payroll — not a pass‑through contract
- Genuine flexibility to work remotely from home in Argentina
- Integral client exposure through C-Serv’s F5 partnership
- Real investment in your growth — training, certification support, career progression

Cordoba, Argentina
Full time
R14943

About Us:





Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work:

At Proofpoint you'll be part of a general team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

- Bold in how we dream and innovate
- Responsive to feedback, challenges and opportunities
- Accountable for results and best in class outcomes
- Visionary in future focused problem-solving
- Exceptional in execution and impact

The Role

We are seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team at Proofpoint. This role is key to building and maintaining the infrastructure that brings machine learning models from development to production. Your contributions will directly impact how fast and safely we ship ML models to production, reinforcing Proofpoint’s mission to protect organizations from security risks.





What you'll do:

- Design, build, and maintain CI/CD pipelines for ML model training and deployment (Harness, GitHub Actions, or similar).
- Manage container images, base image governance, and vulnerability remediation for ML inference services.
- Deploy and operate ML inference endpoints on Kubernetes across AWS and Azure environments to ensure our inference services are secure, scalable and reliable.
- Lead FedRAMP compliance efforts for ML infrastructure: security controls, audit preparation, vulnerability scanning (Snyk, CIS), and remediation.
- Manage cloud resources (GPU nodes, compute clusters, IRSA configurations) to support model serving at scale.
- Collaborate with data scientists and ML engineers to streamline the path from experiment to production.
- Monitor infrastructure health, model serving performance, and cost efficiency across clusters.
- Maintain documentation for deployment processes, security reviews, and infrastructure architecture.
- Stay current with MLOps tooling, cloud-native technologies, and security best practices.

What we're looking for:

- 5+ years of machine learning experience with frameworks like PyTorch, TensorFlow; model serving is a plus.
- Strong Proficiency in Python, with experience in infrastructure-as-code tools (Terraform, Helm, or similar).
- Strong experience with Kubernetes (deployment, scaling, troubleshooting) in production environments.
- Hands‑on experience with CI/CD platforms (Harness, Jenkins, GitHub Actions).
- Familiarity with container security: image scanning, vulnerability management, base image pipelines.
- Experience wit

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