Software Engineer, Data Platforms

Added
14 days ago
Type
Full time
Salary
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Related skills

docker aws kubernetes gcp kafka

πŸ“‹ Description

  • Design, develop, deploy, monitor, operate and maintain existing or new elements of our platform
  • Work with technologies such as Apache Kafka, Flink, Beam to enhance streaming offerings
  • Collaborate with cross-functional teams to integrate streaming solutions into the broader data architecture
  • Analyze internal systems and processes to identify improvements and automation opportunities
  • Collaborate with product stakeholders to address and prioritize custom edge cases
  • Operate a real-time streaming platform with high availability and low downtime for latency-sensitive workloads

🎯 Requirements

  • 3+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies
  • Familiarity with streaming systems like Kafka, Flink, Beam, Spark Streaming, or similar technologies
  • Experience with Kubernetes and container technologies (e.g. Docker, cri-o, etc)
  • Familiar with cloud environments such as AWS/GCP/Azure
  • Comfortable working in a fast-paced, dynamic environment

🎁 Benefits

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Access to a Lyft funded Health Care Savings Account
  • RRSP plan to help save for your future
  • Hybrid schedule with up to 4 weeks remote per year
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