2 days ago

Site Reliability Engineer, Infrastructure - ThousandEyes

✓ 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

Design and operate highly available distributed systems for the ThousandEyes platform, enabling reliable processing of large volumes of telemetry data. Use AI tooling to write production-quality code and automate reliable releases, while evaluating scalability, resiliency, performance, and security. Troubleshoot complex infrastructure and platform issues, participate in on-call and incident management, and improve reliability through root-cause findings. Collaborate with engineering teams to meet service objectives and customer SLAs.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design and operate large-scale, highly available distributed systems for ThousandEyes.
•Use AI tooling to write high-quality code and automate solutions for fast, reliable releases and reduced operational expense.
•Evaluate scalability, resiliency, performance, and security of production services, including high-availability and disaster-recovery testing.
•Troubleshoot complex issues across infrastructure and platform services, participate in on-call and incident management, and drive reliability improvements from root-cause findings.
•Collaborate with application development teams and stakeholders to meet service level objectives and customer-facing service level agreements while improving lifecycle tooling and automation.

Key Requirements

•Proficiency writing production-quality code in at least one language such as Python or Go.
•Hands-on experience designing, operating, or troubleshooting production systems in AWS and Kubernetes, including on-call rotation.
•Hands-on experience with infrastructure-as-code tooling and codebases, preferably Terraform.
•Hands-on experience leveraging AI to support SRE activities, such as automating toil and improving operational efficiency.
•Professional experience administering and troubleshooting GNU/Linux systems, including system libraries, file systems, networking, and client-server protocols.

Education:Bachelor's

Skills:CommunicationDocumentationOwnershipTechnical judgmentAttention to operational details

Tech Stack:PythonGoAWSKubernetesTerraformGNU/LinuxLinuxAIInfrastructure as code

Company Brief

Cisco

Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Cisco

2 days ago

Site Reliability Engineer, Infrastructure - ThousandEyes

✓ 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: London

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Design and operate large-scale, highly available distributed systems for ThousandEyes.
•Use AI tooling to write high-quality code and automate solutions for fast, reliable releases and reduced operational expense.
•Evaluate scalability, resiliency, performance, and security of production services, including high-availability and disaster-recovery testing.
•Troubleshoot complex issues across infrastructure and platform services, participate in on-call and incident management, and drive reliability improvements from root-cause findings.
•Collaborate with application development teams and stakeholders to meet service level objectives and customer-facing service level agreements while improving lifecycle tooling and automation.

Key Requirements

•Proficiency writing production-quality code in at least one language such as Python or Go.
•Hands-on experience designing, operating, or troubleshooting production systems in AWS and Kubernetes, including on-call rotation.
•Hands-on experience with infrastructure-as-code tooling and codebases, preferably Terraform.
•Hands-on experience leveraging AI to support SRE activities, such as automating toil and improving operational efficiency.
•Professional experience administering and troubleshooting GNU/Linux systems, including system libraries, file systems, networking, and client-server protocols.

Education:Bachelor's

Skills:CommunicationDocumentationOwnershipTechnical judgmentAttention to operational details

Tech Stack:PythonGoAWSKubernetesTerraformGNU/LinuxLinuxAIInfrastructure as code

Company Brief

Cisco

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor