В Okta хорошо очерчена роль в платформе данных, используются современные технологии и есть хороший набор льгот, но зарплата ниже медианы рынка для сопоставимых вакансий.
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Ниже рынкаСовременный стекПонятные задачиХорошие льготы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Data Platform (Streaming/Data/ML): Building and optimizing high-volume, low-latency distributed data-platform services and data products with an accent on streaming analytics, scalable infrastructure, and machine learning systems. Focus on designing performance-sensitive platform components, tuning production services, and solving complex data-processing and reliability challenges across the stack.
Location: Toronto, Ontario, Canada
Salary: CAD 136,000–187,000 annual base salary for candidates located in Canada.
Company
Okta provides identity and security infrastructure that helps organizations securely adopt cloud, AI, and machine learning technologies.
What you will do
Design, implement, and own high-performance, scalable components for data-intensive platform services.
Build, deploy, and optimize streaming infrastructure supporting analytics and machine learning.
Develop foundational data services and products using technologies such as Kinesis, Flink, Elasticsearch, and Snowflake.
Collaborate with engineers, architects, and cross-functional partners on system design and implementation.
Participate in design reviews, code reviews, debugging, analysis, and performance tuning across multiple services and stack layers.
Coach and mentor engineers while contributing to the growth of the engineering organization.
Requirements
4+ years of software development experience.
Proficiency in at least one programming language and comfort with multiple backend languages, preferably Java or TypeScript, Ruby, Go, or Python.
Experience with at least one of MySQL, Redis, or PostgreSQL.
Strong computer science fundamentals and API design skills.
Experience delivering work incrementally, gathering feedback, and iterating on solutions.
Comfort working with geographically distributed teams and with React or similar frontend stacks, or willingness to learn.
Nice to have
Experience with distributed computing technologies, including Kinesis, Kafka, Flink, Spark, Beam, Snowflake, Hadoop, Kubernetes, or Mesos.
Experience with security, encryption, identity management, or authentication infrastructure.
Experience using major public cloud providers to build high-volume, mission-critical services.
Experience developing large-scale data integration applications across batch and online systems.
Experience with distributed systems such as Kafka or Hadoop in high-volume or critical environments.
Culture & Benefits
Ownership-focused environment with opportunities to work on complex projects and modern technologies.
Equity, where applicable, along with bonus and benefits.
Health, dental, and vision insurance, RRSP matching, healthcare spending support, and telemedicine.
Paid leave, including PTO and parental leave, according to applicable plans and policies.
In-person onboarding designed to support connection and accelerate impact.
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