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Software Engineer – Auth0
| Company | Okta |
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| Location | Toronto, ON, Canada |
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| Salary | $139000 – $209000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 5+ years of hands-on development experience writing microservices with Golang.
- 3+ years of experience performing technical privacy or security reviews, recommending good design patterns, and identifying trade-offs.
- Working knowledge and experience with one or more of the following: Database principles including familiarity with SQL, noSQL, and DBT; Privacy automation and orchestration; Privacy impact assessments; Data inventory and classification; User data protection and data loss prevention; Encryption, data anonymization, pseudonymization.
- Strong written and verbal communication skills.
- Experience working with a globally distributed and remote team.
Responsibilities
- Partner closely with cross-functional partners across Engineering, Legal, Data, and Product to embed sound technical privacy practices in everything we ship and help uncover risks before they become issues.
- Contribute towards development of new privacy features, tools, and scalable solutions to optimize the work of the Privacy Engineering team and enable us to deliver privacy-centric solutions for our internal and external stakeholders.
- Foster a forum of data stewards to operate as an extended support team for privacy engineering initiatives.
- Collaborate with Privacy Engineering leadership for annual planning, prioritizations and progress management.
- Build, deploy & maintain scalable and reliable infrastructure services as well as privacy solutions for customer identity products.
- Support privacy investigations in coordination with the Okta Legal and Compliance teams, participate in root cause analysis and perform necessary remediations.
Preferred Qualifications
- Working knowledge and experience with one or more of the following: Full-stack engineering; Data pipelines and event streaming platforms such as Kafka; Protocol buffers; Identity and access management; Governance, risk and compliance; GDPR, CCPA / CPRA, or other privacy regulations; Data pipelines for large scale systems; Data privacy in cloud environments (AWS, Azure); Data privacy in a large scale data system (Snowflake); Data privacy in NoSQL data stores including MongoDB.
