Akamai Technologies

3 weeks ago

Senior Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Join Akamai’s AI Hardware SRE team to design, build, and operate scalable tooling and observability for high-density AI hardware across private cloud and bare-metal environments. You’ll automate provisioning, improve uptime and latency, implement AI-driven anomaly detection, and lead on-call incident response in a global distributed system.

Location: Cambridge

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 121,400 - 218,600 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveParental LeaveEspp

Key Requirements

•Develop robust programmatic tooling and infrastructure-as-code utilities in Python to automate fleet-wide provisioning and reduce operational toil.
•Integrate automated workflows across disconnected ticketing systems to improve time-to-mitigate metrics for hardware and network incidents.
•Leverage AI utilities and LLMS to accelerate script authorship, system analysis, and technical execution.
•Work with modern private cloud and compute technologies to enhance availability and latency in high-density hardware environments.
•Design telemetry pipelines and dashboards (Prometheus/Grafana/OpenTelemetry/Loki) and implement AI-based anomaly detection tailored for bare-metal and virtualized environments.

Experience:5+ yearsDistributed systemsCloud computingAi hardware

Education:Bachelor's

Skills:PythonPrometheusGrafanaOpenTelemetryLokiAPI integrationsAutomationNetworkingIncident responseTelemetry

Languages:English

Tech Stack:PythonPrometheusGrafanaOpenTelemetryLokiBGPIPv6APIs

Company Brief

Akamai Technologies

Provides a global content delivery network (CDN) and cloud services to improve web and application performance, security, and delivery for enterprises, media companies, and cloud providers.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United States

Founded: 1998

Website LinkedIn

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Akamai Technologies

3 weeks ago

Senior Site Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Cambridge

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 121,400 - 218,600 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityPaid LeaveParental LeaveEspp

Key Requirements

•Develop robust programmatic tooling and infrastructure-as-code utilities in Python to automate fleet-wide provisioning and reduce operational toil.
•Integrate automated workflows across disconnected ticketing systems to improve time-to-mitigate metrics for hardware and network incidents.
•Leverage AI utilities and LLMS to accelerate script authorship, system analysis, and technical execution.
•Work with modern private cloud and compute technologies to enhance availability and latency in high-density hardware environments.
•Design telemetry pipelines and dashboards (Prometheus/Grafana/OpenTelemetry/Loki) and implement AI-based anomaly detection tailored for bare-metal and virtualized environments.

Experience:5+ yearsDistributed systemsCloud computingAi hardware

Education:Bachelor's

Skills:PythonPrometheusGrafanaOpenTelemetryLokiAPI integrationsAutomationNetworkingIncident responseTelemetry

Languages:English

Tech Stack:PythonPrometheusGrafanaOpenTelemetryLokiBGPIPv6APIs

Company Brief

Akamai Technologies

Provides a global content delivery network (CDN) and cloud services to improve web and application performance, security, and delivery for enterprises, media companies, and cloud providers.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United States

Founded: 1998

Website LinkedIn