Job DescriptionIn this role, responsibilities will include automation, monitoring, incident response, and working collaboratively with skilled team members. Candidates should possess expertise in Linux systems, automation, and SRE practices. Daily activities involve coding, improving dashboards, enhancing alerts, and minimizing repetitive tasks. Opportunities exist to focus on GPU infrastructure, Kubernetes, and ensuring reliability for AI workloads within Akamai's serverless inference platform.
As an Site Reliability Engineer II, you will be responsible for:
- Building and maintaining dashboards, alerts, and monitoring for inference workloads using Akamai's existing observability platform
- Writing automation and tooling in Python or Go to reduce operational toil and improve system reliability
- Building and improving runbooks for inference-specific operational procedures, integrating into Akamai's existing incident management processes
- Contributing to SLO tracking and reporting, identifying trends and areas for improvement
- Supporting CI/CD pipeline maintenance, deployment safety checks, and rollback procedures
- Collaborating with product engineering teams to troubleshoot complex problems across the stack
- Participating in on-call rotations, responding to production incidents, and conducting blameless post-mortems
Do what you loveTo be successful in this role you will:
- Have 2+ years of experience in Site Reliability Engineering and a Bachelor's Degree or its equivalent experience
- Demonstrate coding ability in at least one programming language (Python or Go) with experience writing automation
- Have experience with Linux systems administration and the ability to troubleshoot complex infrastructure issues
- Show familiarity with Kubernetes and containerization concepts
- Have experience with monitoring and observability tools such as Prometheus, Grafana, or similar
- Have exposure to CI/CD pipelines and infrastructure-as-code tools (Terraform, SaltStack, or equivalent)
- Show a willingness to learn and grow, with genuine curiosity about AI infrastructure and distributed systems
Work in a way that works for youFlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know flexible working is important to many of the incredible people considering joining Akamai. FlexBase, gives 95% of employees the choice to work from their home, their office, or both (in the country advertised). This permanent workplace flexibility program is consistent and fair globally, to help us find incredible talent, virtually anywhere. We are happy to discuss working options for this role and encourage you to speak with your recruiter in more detail when you apply.
CompensationAkamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $95,000 - $171,000/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). Akamai provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation (in the form of PTO), sick time, family friendly benefits including parental leave and an employee assistance program including a focus on mental and financial wellness; Eligibility requirements apply.
