Hoy

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
- 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.
- Strong written and verbal communication — you'll work across time zones with distributed teams and clients

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
- Global client exposure through C-Serv's F5 partnership
- Real investment in your growth — training, certification support, career progression

Cordoba, Argentina
Full time
R14751

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 integral 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

Position Overview

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This is a hybrid role that sits at the intersection of platform engineering and data infrastructure—you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities. You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines,



and DevOps tooling that enable data engineering teams to ship high‑quality data products faster and more safely. At the same time, you will actively contribute to the design and operation of data pipelines using AWS Glue, Athena, and S3, bringing a strong operational mindset to data engineering. If you thrive at the boundary between platform and data, love automating toil, and care deeply about reliability and developer experience, this role is for you.

What You'll Do

- Design, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
- Build and manage cloud infrastructure on AWS using Infrastructure-as-Code (Terraform and/or AWS CDK)-covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.
- Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.
- Develop and maintain the DataOps platform-self‑service tooling, pipeline templates, and shared libraries that allow data engineers to spin up production‑grade pipelines quickly.
- Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
- Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, and reliability hardening.
- Build and maintain AWS Glue ETL jobs (PySpark) for large‑scale data inges

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