Cisco

2 days 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: 2 hours agoStatus: Live

Job Summary

Own and drive AWS cost optimization and efficiency for the ThousandEyes Efficiency & Performance team. Analyze cloud usage across compute, storage, databases, observability, networking, and data workloads to identify savings and reduce wastage. Lead FinOps practices (cost visibility, tagging hygiene, showback/chargeback, budgeting, forecasting, anomaly detection) while improving resource utilization, autoscaling, right-sizing, and capacity planning through automation and guardrails.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Own and drive AWS cost optimization and efficiency initiatives across ThousandEyes infrastructure.
•Analyze cloud usage across compute, storage, databases, observability, networking, and data platform workloads to identify savings opportunities.
•Drive FinOps practices including cost visibility, tagging hygiene, showback/chargeback, budgeting, forecasting, anomaly detection, and cost allocation.
•Improve infrastructure efficiency through better resource utilization, autoscaling, right-sizing, and capacity planning.
•Build automation, dashboards, reports, and guardrails for cost governance and operational visibility, and mentor engineers to closure. (Combine remaining duties within this item.)

Key Requirements

•Bachelor’s degree or higher in Engineering, Computer Science, or equivalent practical experience.
•8–12 years of relevant experience in Site Reliability Engineering, Cloud Infrastructure, Platform Engineering, DevOps, Production Engineering, or Performance Engineering.
•Strong hands-on experience with AWS services including EC2, S3, RDS, EMR, Lambda, CloudWatch, OpenSearch, ElastiCache, IAM, and VPC.
•Practical FinOps and cloud cost optimization experience (AWS billing analysis, cost allocation, tagging, budgeting, forecasting, and cost governance).
•Experience with infrastructure-as-code and automation tools such as Terraform, CloudFormation, Puppet, or Ansible, plus scripting/programming in Python, Go, or Shell.
•Strong experience managing observability/monitoring platforms such as CloudWatch, Prometheus, Grafana, Splunk, Datadog, or similar. (Include is within scope but list limited to 5.)

Experience:8-12 yearsCloud infrastructurePlatform engineeringDevOpsProduction engineeringFinOpsSaaSLarge-scale systems

Education:Bachelor's

Skills:Cross-functional collaborationMentoringCommunicationAnalytical thinkingStakeholder management

Certifications:FinOps

Tech Stack:AWSEC2S3RDSEMRLambdaCloudWatchOpenSearchElastiCacheIAMVPCTerraformCloudFormationPuppetAnsiblePythonGoShellThousandEyesPrometheus

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

Senior Site Reliability Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Own and drive AWS cost optimization and efficiency initiatives across ThousandEyes infrastructure.
•Analyze cloud usage across compute, storage, databases, observability, networking, and data platform workloads to identify savings opportunities.
•Drive FinOps practices including cost visibility, tagging hygiene, showback/chargeback, budgeting, forecasting, anomaly detection, and cost allocation.
•Improve infrastructure efficiency through better resource utilization, autoscaling, right-sizing, and capacity planning.
•Build automation, dashboards, reports, and guardrails for cost governance and operational visibility, and mentor engineers to closure. (Combine remaining duties within this item.)

Key Requirements

•Bachelor’s degree or higher in Engineering, Computer Science, or equivalent practical experience.
•8–12 years of relevant experience in Site Reliability Engineering, Cloud Infrastructure, Platform Engineering, DevOps, Production Engineering, or Performance Engineering.
•Strong hands-on experience with AWS services including EC2, S3, RDS, EMR, Lambda, CloudWatch, OpenSearch, ElastiCache, IAM, and VPC.
•Practical FinOps and cloud cost optimization experience (AWS billing analysis, cost allocation, tagging, budgeting, forecasting, and cost governance).
•Experience with infrastructure-as-code and automation tools such as Terraform, CloudFormation, Puppet, or Ansible, plus scripting/programming in Python, Go, or Shell.
•Strong experience managing observability/monitoring platforms such as CloudWatch, Prometheus, Grafana, Splunk, Datadog, or similar. (Include is within scope but list limited to 5.)

Experience:8-12 yearsCloud infrastructurePlatform engineeringDevOpsProduction engineeringFinOpsSaaSLarge-scale systems

Education:Bachelor's

Skills:Cross-functional collaborationMentoringCommunicationAnalytical thinkingStakeholder management

Certifications:FinOps

Tech Stack:AWSEC2S3RDSEMRLambdaCloudWatchOpenSearchElastiCacheIAMVPCTerraformCloudFormationPuppetAnsiblePythonGoShellThousandEyesPrometheus

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