Site Reliability Engineer (Application/Platform)

Remote • Posted 54 minutes ago • Updated 54 minutes ago
Contract W2
Contract Independent
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • System Administration
  • Reliability Engineering
  • Apache Kafka
  • Apache Flink
  • Apache Spark
  • Apache Hadoop
  • Kubernetes
  • IaC
  • Infrastructure as code
  • Cloud Computing
  • Amazon Web Services
  • Software Engineering
  • Scripting
  • Root Cause Analysis
  • Data Processing
  • Capacity Management
  • Access Control

Summary


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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10430747
  • Position Id: 8962514
  • Posted 54 minutes ago
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