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Senior Software Engineer, Data Platform

Okta
Toronto, CAN
Onsite
Discovered 2 weeks ago
Software developmentDistributed data platformsStreaming infrastructureJavaTypeScriptRuby

Full Job Posting

About the position

Experienced software engineer joining the Data Platform organization to scale high-volume, low-latency distributed services and data products.

Designs, builds, and deploys foundational infrastructure powering analytics and machine learning.

The platform stack includes technologies such as Kinesis, Flink, Elasticsearch, and Snowflake.

Responsibilities

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

Required qualifications

  • 4+ years of software development experience.
  • Proficiency in at least one language and comfort with more than one backend language; Java, TypeScript, Ruby, Go, and Python are examples.
  • Experience with at least one of MySQL, Redis, or PostgreSQL.
  • Knowledge of computer science fundamentals and strong API design skills.
  • Comfort working on a geographically distributed team, with ownership, accountability, attention to detail, and customer focus.
  • Track record of incremental delivery, feedback, and iteration.
  • Comfort with React or similar front-end UI stacks, or willingness to learn.

Additional experience preferred

  • Cloud-based distributed computing technologies are a plus, including messaging systems such as Kinesis or Kafka; processing systems such as Flink, Spark, or Beam; storage and compute such as Snowflake or Hadoop; and coordinators or schedulers such as Kubernetes, Hadoop, or Mesos.
  • Experience with security, encryption, identity management, or authentication infrastructure is a plus.
  • Experience using major public cloud providers for mission-critical, high-volume services is a plus.
  • Large-scale data integration experience in petabyte-scale environments with batch and online systems is a plus.
  • Experience contributing to or using distributed systems at high volume or criticality, such as Kafka or Hadoop, is a plus.

Data Platform team

The team provides foundational data services, systems, and products supporting streaming analytics, interactive end-user reporting, data and ML platform scaling, and product telemetry.

Onboarding

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

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