Site Reliability Engineer II

Are you passionate about cutting-edge AI infrastructure? Do you want to build your SRE career on one of the most exciting platforms in cloud computing? Join the Akamai Inference Cloud Team The Akamai Inference Cloud team is part of Akamai's Cloud Technology Group. We design, implement, deploy and operate AI platforms that enable customers to run inference models and developers to create AI applications. In 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 To 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 Benefits Your health Your finances Your family Your time at work Your time pursuing other endeavors Compensation Akamai 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. Equal Employment Opportunity Rights Akamai Technologies is an affirmative action, equal opportunity employer that values the strength that diversity brings to the workplace. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, gender identity, sexual orientation, race/ethnicity, protected veteran status, disability, or other protected group status. #J-18808-Ljbffr Akamai Technologies, Inc.