Site Reliability Engineer

Theroleprovidesan opportunity to run, support, and scale an AI Security SaaS platform engineered for running AI inference across distributed architectures. Success in this role entails strong collaboration, a passion for automation, and the ability to proactively improve system reliability whileassistingcustomers with complex technical inquiries.

Key Responsibilities

Proactive Monitoring, Performance Optimization, and Incident Management

Monitor and measure system behaviors:Ensure Service Level Objectives (SLOs) are being met through observability tools like metrics collection, logging systems, and distributed tracing. Apply proactive data insights to ensureoptimalsystem performance and uptime.

24/7 Support Model:Drive operational excellence tomaintainthe availability and reliability of SaaS platforms through incident management, root cause resolutions, postmortem authorship, and service restoration processes.

Customer-Centric Incident Resolution

Act as the primary point of contact for high-priority technical inquiries and escalations.

Troubleshoot and resolve complex customer-facing issues, applying technical acumen to dissect log files, application traces, and system metrics quickly.

Identify, triage, and address technical problems, ensuring prompt communication and solution delivery.

Automation and Toil Reduction

Build and improve automated workflows through Infrastructure as Code (IaC) frameworks and scripting (e.g., Terraform, Python).

Advocate for and lead automation initiatives across monitoring, deployment processes, configuration management, and repetitive manual tasks – ensuring greater efficiency and reliability.

Collaboration with Development Teams and SRE Evolution

Collaborate with cross-functional engineering teams, sharing insights from monitoring systems, metrics, and customer interactions to contribute to improving system design, architecture, and reliability.

Evangelize and introduce SRE principles, methodologies, and best practices (e.g., High Availability frameworks, service mesh, container orchestration).

Contribute directly to improving logging, reporting, and alerting capabilities within the SaaS platform.

Operational Security & Continuous Improvement

Ensure security awareness across operational tasks by integrating security-as-code and configuration management principles into workflows.

Drive continuous service improvement by analyzing patterns of incidents/service disruptions and strategizing immediate and long-term fixes.

Qualifications

Required

Bachelor’s degree in Computer Science, Information Technology, or a related field, ordemonstrableequivalent experience.

Technical Experience:

1-3+ years ina technicalsupport, system administration, or cloud operations role.

Foundational knowledge of public cloud environments (e.g., AWS, Google Cloud, OpenStack).

Proficiencyin scripting languages such as Python, Bash, and familiarity with Infrastructure as Code tools (e.g., Terraform).

Solid understanding of web technologies, protocols, and APIs (e.g., HTTP, REST, JSON).

Basic familiarity with networking, databases (e.g., PostgreSQL), and Linux server administration.

Soft Skills:

Strong analytical and problem-solving skills, with comfort in troubleshooting under pressure.

Excellent communication skills, able to collaborate effectively across teams and engage with customers professionally and empathetically.

Preferred

Direct experience with Kubernetes or container orchestration systems.

Knowledge of monitoring tools such as Prometheus, Grafana, or equivalent observability stacks.

Previousexposure to Site Reliability Engineering principles such as SLO management, automated delivery pipelines, or fault-tolerant architectures.

Familiarity with configuration management tools such as Ansible, Chef, or Puppet.

What Success Looks Like

The successful candidate will embodySRE fundamental principlesanddemonstrate:

System Reliability Expertise:Navigate, maintain, and scale SaaS applications by identifying optimal fixes to complex issues in production systems.

Observability Innovator:Drive advancements in monitoring, metric collection, logging, and tracing tools to achieve deeper insights into system behaviors and improve reliability.

Future-Focused Problem Solver:Strategically balance immediate tactical solutions with long-term architectural improvements, reducing operational toil and increasing scalability.

Collaborative Leadership:Demonstratea collaborative mindset, foster innovation, and mentor peers to champion automation initiatives and SRE best practices.

The position will also require participation in an on-call rotation for out-of-hoursincident response.

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or@myworkday.com).

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.