SRE (Kubernetes)
The Role We are seeking a high-caliber Site Reliability Engineer (SRE) with a focus on Application and Platform stability. In this role, you will be the guardian of our global application ecosystem, ensuring 24x7 reliability and peak performance. You will bridge the gap between software engineering and systems operations, specifically within heavy Big Data and Streaming environments. Whether you prefer the collaboration of our Bloomfield office, the comfort of your home office, or a mix of both, we offer total flexibility to fit your lifestyle.
Key Responsibilities
Operational Excellence: Maintain 24x7 system reliability, incident response, and operational readiness for mission-critical global applications.
Incident Leadership: Lead troubleshooting efforts during high-pressure outages; perform deep-dive Root Cause Analysis (RCA) and automate preventive measures.
Reliability Engineering: Define and monitor SLIs/SLOs/SLAs (availability, latency, throughput, and resource utilization).
Big Data & Streaming Support: Manage and optimize distributed data frameworks, ensuring the health of Spark, Flink, and Kafka pipelines.
Infrastructure as Code: Support deployments across AWS Cloud and Kubernetes (EKS) environments.
Cluster Governance: Implement Kubernetes resource quotas, access controls (RBAC), and namespace management to ensure multi-tenant stability.
Technical Qualifications
Core SRE Skills: Proven expertise in monitoring, performance tuning, and capacity planning.
Distributed Systems: Strong hands-on experience with Spark, Flink, and Kafka . Hadoop Ecosystem: Proficiency in Hadoop Cluster Administration and Operations.
Cloud & Containers: Deep understanding of AWS and Kubernetes (K8s) orchestration.
Automation Mindset: Experience replacing manual "toil" with automated scripts and tools.
Why Join Us?
True Flexibility: We trust our engineers. Choose the work mode that makes you most productive.
Scale: Work on massive distributed systems and global-scale data processing.
Culture: A collaborative environment where Root Cause Analysis is blameless and innovation is encouraged.
Note: We are currently only accepting applications from s (USC) or (GC) holders.
For applications and inquiries, contact: [email protected]
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Key Responsibilities
Operational Excellence: Maintain 24x7 system reliability, incident response, and operational readiness for mission-critical global applications.
Incident Leadership: Lead troubleshooting efforts during high-pressure outages; perform deep-dive Root Cause Analysis (RCA) and automate preventive measures.
Reliability Engineering: Define and monitor SLIs/SLOs/SLAs (availability, latency, throughput, and resource utilization).
Big Data & Streaming Support: Manage and optimize distributed data frameworks, ensuring the health of Spark, Flink, and Kafka pipelines.
Infrastructure as Code: Support deployments across AWS Cloud and Kubernetes (EKS) environments.
Cluster Governance: Implement Kubernetes resource quotas, access controls (RBAC), and namespace management to ensure multi-tenant stability.
Technical Qualifications
Core SRE Skills: Proven expertise in monitoring, performance tuning, and capacity planning.
Distributed Systems: Strong hands-on experience with Spark, Flink, and Kafka . Hadoop Ecosystem: Proficiency in Hadoop Cluster Administration and Operations.
Cloud & Containers: Deep understanding of AWS and Kubernetes (K8s) orchestration.
Automation Mindset: Experience replacing manual "toil" with automated scripts and tools.
Why Join Us?
True Flexibility: We trust our engineers. Choose the work mode that makes you most productive.
Scale: Work on massive distributed systems and global-scale data processing.
Culture: A collaborative environment where Root Cause Analysis is blameless and innovation is encouraged.
Note: We are currently only accepting applications from s (USC) or (GC) holders.
For applications and inquiries, contact: [email protected]
Apply tot his job
Apply To this Job