Job DescriptionDo you enjoy collaborating with teams to solve complex challenges?Do you enjoy solving large scale distributed content delivery challenges?Join our critical AI Hardware SRE Team!The AI Hardware SRE team is responsible for overseeing, scaling, and optimizing our next-generation dedicated AI hardware infrastructure. You will be responsible for ensuring best-in-class uptime and reliability of our AI hardware infrastructure offerings.
Partner with the bestIn this role, you'll play a part in pioneering the reliability an elite, high-density hardware and software infrastructure spanning the globe. You'll collaborate with product teams from the earliest stages of development to ensure the reliability, scalability, and performance of our systems. You'll define key performance indicators and defend them when they are breached.
As a Senior Site Reliability Engineer, you will be responsible for:
- Developing and scaling robust programmatic tooling and infrastructure-as-code utilities in Python to eliminate operational toil and automate fleet-wide provisioning.
- Integrating automated workflows across disconnected corporate ticketing systems to optimize time-to-mitigate metrics for hardware and network break-fix events.
- Leveraging advanced AI utilities and LLM-assisted development paradigms where appropriate to accelerate technical execution, script authorship, and system analysis
- Working on cutting-edge private cloud and compute technologies to improve the availability, latency, and overall systemic health of high-density hardware environments.
- Designing and implementing telemetry pipelines, custom Prometheus/Grafana monitoring dashboards, and AI-based anomaly detection tailored for bare-metal and virtualized environments.
- Participating in 24x7x365 on-call rotations, spearheading real-time incident management, and managing high-severity service disruption protocols via automated PagerDuty and Slack workflows.
- Partnering directly with third-party infrastructure vendors and coordinating on-site field technicians to facilitate uptime activities.
Do what you loveTo be successful in this role you will:
- Have 5 years of relevant experience and a Bachelor's degree in Computer Engineering, Computer Science or equivalent
- Possess tooling and coding ability in languages like Python to construct scalable operational tools, API integrations, and automation frameworks.
- Show hands-on experience with modern observability stacks and timeseries engines, like Prometheus, Grafana, OpenTelemetry, and Loki.
- Possess a working understanding of advanced networking topologies, high-bandwidth routing/switching infrastructure, BGP, and dual-stack IPv4/IPv6 networks.
- Have experience acting as a key designer for new service rollouts, including establishing operational readiness criteria, telemetry baselines, and alerting thresholds.
- Demonstrate extensive experience building technical runbooks, leading complex incident response bridges, and driving comprehensive, blameless post-mortems.
- Display a proven ability to take absolute ownership of ambiguous technical problems, coordinate cross-functional teams, and drive for production-grade solutions.
CompensationAkamai is committed to fair and equitable compensation practices. For US based candidates only - the base salary for this position ranges from $121,400 - $218,600/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.