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OktaOkta

Senior Software Engineer, Datastores

Build and operate highly available datastore infrastructure and platform tooling supporting Auth0’s large-scale services. The role requires 5–8 years of software development experience, infrastructure automation expertise, cloud experience, and familiarity with databases and reliability engineering.

About the job

Responsibilities

  • Develop large, distributed, highly available infrastructure.
  • Implement platform tools that allow feature teams to deploy and manage datastores for their services.
  • Research technologies to accelerate new environment creation.
  • Carry cross-team initiatives from end to end, including code reviews, design reviews, operational robustness, and security hygiene.
  • Participate in the team’s on-call rotation.

Requirements

  • 5–8 years of software development experience.
  • Proficiency in or willingness to learn Golang.
  • Experience managing infrastructure with Terraform.
  • Experience with Kubernetes and CI/CD.
  • Experience with data storage systems at scale, including PostgreSQL, MongoDB, Redis, or DynamoDB.
  • Familiarity with datastore reliability, standard configurations, latency, throughput, availability, utilization indicators, and performance analysis.
  • Experience with Microsoft Azure and/or Amazon Web Services.
  • Ability to deliver work incrementally, gather feedback, and iterate.
  • Passion for building highly reliable, maintainable, scalable, and secure systems.
  • Ownership, accountability, and attention to detail.
  • Comfort working on a fully distributed team.

Nice to Have

  • Database experience.
  • DevOps experience using cloud-agnostic and cloud-native technologies.

Compensation and Benefits

  • Annual base salary: $136,000–$187,000 CAD for candidates located in Canada.
  • Equity, where applicable, bonus, health, dental, and vision insurance.
  • RRSP with a match, healthcare spending, telemedicine, and paid leave, including PTO and parental leave.

Skills

Go, Terraform, Kubernetes, CI/CD, Postgres, MongoDB, Redis, DynamoDB, Microsoft Azure, Amazon Web Services, Distributed Systems, Datastore Reliability, DevOps

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