Site Reliability Engineer II

Responsibilities

• Create solutions to improve automation and efficiency for systems and teams.
• Optimize workflows, infrastructure, and applications.
• Collaborate on deployment, monitoring, and resolving incidents.
• Focus on reliability, scalability, and efficiency through automation and resource optimization.
• Promote continuous improvement and operational excellence across all systems.
• Provide support and mentorship for other engineers within the department.
• Develop and maintain automated tools and scripts to enhance system reliability, deployment processes, and incident response efficiency.
• Improve system monitoring to speed error detection and remediation, enhancing performance and reliability of virtualization platform.
• Participate in on-call rotations, guiding restoration and repair of service-impacting issues.
• Write automation and tooling to reduce operational toil, improve deployment safety, and accelerate incident response.
• Contribute to capacity planning, autoscaling configuration, and workload scheduling for AI compute infrastructure.

Requirements

• 2 years of relevant experience and a Bachelor's degree in Computer Science or its equivalent.
• Experience in a SysAdmin (Linux/Unix Administration), DevOps or SRE role, working with large scale distributed systems.
• Experience in Kubernetes and large-scale containerization systems.
• Possession of at least one programming language (Python/Golang) and configuration management with Terraform/SaltStack/Ansible.
• Experience defining Service Level Objectives (SLOs) and working with observability tools like Prometheus, Grafana, and distributed tracing to enhance system monitoring.
• Demonstrated accountability for reliability, development of automation and monitoring, and effective collaboration with an engineering team unfamiliar with SRE practices.

Qualifications

As a Site Reliability Engineer II, you will be responsible for:

• Providing support and mentorship for other engineers within the department.
• Developing and maintaining automated tools and scripts to enhance system reliability, deployment processes, and incident response efficiency.
• Improving our system monitoring to speed error detection and remediation, enhancing performance and reliability of virtualization platform.
• Participating in on-call rotations, guiding restoration and repair of service-impacting issues.
• Writing automation and tooling to reduce operational toil, improve deployment safety, and accelerate incident response.
• Contributing to capacity planning, autoscaling configuration, and workload scheduling for AI compute infrastructure.

Skills

Skills required for this role include:

• Experience in SysAdmin (Linux/Unix Administration), DevOps or SRE roles.
• Experience with Kubernetes and large-scale containerization systems.
• Knowledge of at least one programming language (Python/Golang).
• Experience with configuration management tools like Terraform/SaltStack/Ansible.
• Experience defining SLOs and working with observability tools like Prometheus, Grafana, and distributed tracing.
• Experience with continuous improvement and operational excellence.

Benefits

At Akamai, we offer a comprehensive benefits package including:

• Healthcare coverage.
• A 401(k) savings plan.
• Company holidays.
• PTO (Paid Time Off).
• Sick time.
• Family-friendly benefits, including parental leave.
• An employee assistance program focusing on mental and financial wellness.
• Industry-leading benefits.

Pay

The base salary for this position ranges from CRC16,932,850 - CRC30,479,150/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications, and location. Compensation for candidates outside the US will vary. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards, and an Employee Stock Purchase Plan (ESPP).

Schedule

We offer a flexible schedule through Akamai's FlexBase program, allowing employees to work remotely, in an office, or a combination of both.