Associate Service Reliability Engineer

Associate Service Reliability Engineer

Develop a deep understanding of the various infrastructure services and applications that are the critical foundation for delivering Proofpoint’s next generation security products. Contribute to the architecture to improve scalability, operability, service reliability, capacity, and performance. Responsible for provisioning, maintaining, and scaling production services across a hybrid cloud environment with a cloud‑first mentality and work cross‑functionally to improve automation and orchestration platforms needed to scale the business.

• Build long‑lasting, effective partnerships across the organization to foster collaboration between Engineering, Product Operations, and other Infrastructure Operations teams.
• Organize and manage multiple simultaneous projects.
• Manage an international 24x7, multi‑site production infrastructure powering the Proofpoint services, including deployment, maintenance, troubleshooting, performance tuning, and security.
• Root‑cause complex problems and involve multiple stakeholders, network, hardware, and software that relate to scaling and performance.
• Ensure proper monitoring, alerting, capacity planning, and reporting in the production environment.
• Utilize modern AI coding assistants (e.g., Git Hub Copilot) and standard AI platforms to write, debug, and optimize infrastructure‑as‑code and automation scripts.
• Contribute to the evolving design and architecture of reliable and scalable infrastructure.
• Develop processes, tools, and documentation in support of production operations.
• Evaluate new software, hardware, and infrastructure solutions.
• Participate in an on‑call rotation and be willing to jump on escalated issues as needed.

• Proven experience and technical skills managing, troubleshooting, and tuning Linux systems.
• Demonstrable experience working in a high volume, large deployment, multi‑datacenter / multi‑cloud environment.
• Experience automating management of systems and applications using common frameworks, platforms, and coding languages.
• Experience with observability technologies such as Open Telemetry and Prometheus or similar.
• Experience with industry‑standard foundation technologies such as TCP/IP, HTTP, DNS, SMTP, and LDAP.
• Experience in management of a large, distributed computing environment.
• Experience with common virtualization platforms – KVM, VMware vSphere, ESX, ESXi, and vCenter.
• Advanced knowledge and experience with multiple cloud providers and technologies including AWS and Azure.
• Experience with configuration management such as Puppet or Chef, scripting languages (e.g., Python, Bash) and automation tools (e.g., Terraform, Ansible).
• Experience integrating standard AI tooling into daily workflows for faster code development and incident resolution.
• Experience with industry‑standard operational practices such as change management, incident management, and working in colocation datacenters.
• Experience with containers and container orchestration platforms such as Kubernetes (desired).
• Excellent verbal and written communication skills.
• Self‑motivated, able to work both independently and cross‑functionally.

Competitive compensation, comprehensive benefits, career success on your terms, flexible work environment, annual wellness and community outreach days, recognition for contributions, and global collaboration and networking opportunities.