Staff Software Engineer, Data Platform

Role overview

Responsibilities

• Design, implement, and own high-performance, scalable, data-intensive platform components.
• Collaborate with engineering teams, architects, and cross-functional partners on project development and implementation.
• Participate in design reviews, code reviews, analysis, and performance tuning.
• Debug production issues across services and multiple levels of the stack.
• Coach and mentor engineers.

Required qualifications

• At least 8 years of experience in an object-oriented language; Java is preferred.
• Hands-on experience with cloud-based distributed computing technologies, including messaging, data processing, storage and compute, or coordination and scheduling systems.
• Experience developing and tuning highly scalable distributed systems.
• Strong software engineering fundamentals and understanding of multithreading, garbage collection, and memory management.
• Reliability engineering experience in data quality, data observability, and incident management.

Technology examples

• Technology examples include Kinesis or Kafka; Flink, Spark, or Beam; Snowflake or Hadoop; and coordinators or schedulers such as Kubernetes, Hadoop, or Mesos.

Additional experience

• Security, encryption, identity management, or authentication infrastructure experience is a plus.
• Major public cloud experience, petabyte-scale data integration, distributed systems experience with Kafka or Hadoop, and Kubernetes services on AWS are pluses.

Compensation

• Annual base salary range for candidates located in Canada is CAD $160,000–$220,000; equity, bonus, and benefits may also be offered under applicable plans.

Onboarding

• The company describes an immersive, in-person onboarding experience; this does not specify the ongoing workplace arrangement.