BENGALURU · FULLTIME
Site Reliability Engineer
Cisco Systems
Bengaluru · onsite · Posted 13d ago
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Undisclosed8–10 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Your Impact
Minimum Qualifications
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Site Reliability Engineer - NADP Platform
Location Bangalore
Team Cisco ThousandEyes - Network Assurance Data Platform / Cloud SRE Engineering
About the Team The Network Assurance Data Platform team within Cisco ThousandEyes is responsible for building, operating, and scaling the core data infrastructure that powers large-scale network assurance, analytics, and intelligence capabilities.
The team manages mission-critical cloud infrastructure, big data workflows, ML platform components, and reliability engineering practices across AWS environments. We focus on improving platform reliability, scalability, performance, automation, and cost efficiency while enabling engineering and data teams to deliver business-critical capabilities at scale.
As a Site Reliability Engineer in the NADP team, you will work on highly scalable infrastructure supporting data pipelines, ML workloads, cloud-native services, and cost-optimized AWS operations.
Your Impact
- Own and operate scalable, reliable, and cost-efficient infrastructure for the ThousandEyes Network Assurance Data Platform.
- Manage, optimize, and improve large-scale data workflows using Apache Airflow, AWS EMR, Spark, and Hadoop-based processing platforms.
- Operate and improve Amazon EKS environments supporting containerized services, ML workloads, and production-grade platform components.
- Build and maintain infrastructure automation using Terraform and other infrastructure-as-code practices.
- Develop Python-based automation, integrations, operational tooling, reporting, and reliability improvements.
- Drive FinOps practices across NADP infrastructure, including cost visibility, cost allocation, forecasting, anomaly detection, optimization, and governance.
- Partner with data engineering, ML, platform, finance, and product teams to improve reliability, performance, scalability, and cost efficiency.
- Identify infrastructure bottlenecks, performance issues, inefficient workloads, and cost optimization opportunities.
- Improve observability, alerting, incident response, and operational readiness across data and ML platforms.
- Support capacity planning, right-sizing, autoscaling, storage optimization, and workload efficiency across AWS services.
- Lead technical discussions, influence design decisions, and guide teams toward reliable and cost-conscious architecture.
- Provide senior-level technical leadership, mentorship, and operational guidance to engineers across the team.
- Drive continuous improvement in platform reliability, automation, deployment practices, and operational excellence.
Minimum Qualifications
- Bachelor s degree or higher in Engineering, Computer Science, or equivalent practical experience.
- 8-10 years of relevant experience in Site Reliability Engineering, DevOps, Cloud Infrastructure, Platform Engineering, Data Infrastructure, or Production Engineering.
- Strong hands-on experience operating production infrastructure on AWS.
- Strong experience with Apache Airflow for workflow orchestration, pipeline operations, scheduling, monitoring, and troubleshooting.
- Hands-on experience with AWS EMR, Spark, Hadoop, or similar large-scale data processing platforms.
- Strong experience operating Amazon EKS or Kubernetes-based environments in production.
- Experience supporting containerized workloads, preferably including ML workloads or data platform services.
- Strong hands-on experience with Terraform and infrastructure-as-code practices.
- Strong Python programming or scripting experience for automation, integrations, operational tooling, and infrastructure workflows.
- Practical experience with cloud cost optimization, FinOps, AWS cost analysis, tagging, budgeting, forecasting, and cost governance.
- Strong understanding of Linux systems, networking, distributed systems, and production troubleshooting.
- Experience with observability tools such as CloudWatch, Prometheus, Grafana, Splunk, OpenSearch, Datadog, or similar platforms.
- Experience with incident management, production support, root cause analysis, reliability improvements, and operational excellence.
- Ability to analyze infrastructure, performance, and cost data and convert findings into clear technical recommendations.
- Strong communication skills with the ability to collaborate across data, ML, platform, finance, and engineering teams.
- Ability to operate independently, drive initiatives end to end, and provide technical leadership in a fast-paced environment.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
AutomationBatch processingApacheAws Servicesamazon web servicesapache airflowAws EmrAutomatingAnalyticsBankingAnomaly Detectioncloud cost managementcloudArchitectureBudgetingCiscoBig DataAnsibleArtificial Intelligence
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