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Senior Engineer (Platform)

Later · Engineering · Senior · 11d ago

✓

Open to candidates living in Canada, United States.

Selected countriesC#TypeScriptPostgreSQLAWS

Direct from the employer's own careers page

Who can apply

Read straight from the listing, so you know before you spend time on it.

CanadaUnited States

Open to candidates living in Canada, United States.

“Boston, MA; Vancouver, British Columbia, Canada; Vancouver, Washington, United States”
Async-first
The listing doesn't promise async-first working.
Contractor / B2B
No mention of hiring international contractors or invoicing.
Global stipend
No home office or equipment budget mentioned.
Annual retreat
No company-paid get-togethers mentioned.

Read from the listing automatically. Always confirm the details with the company before you accept an offer.

About the role

As a Senior Platform Engineer, you will drive large-scale platform projects, architect scalable microservices, and champion technical excellence across engineering. You will develop backend services, optimize PostgreSQL and NoSQL datastores, maintain CI/CD and Infrastructure as Code pipelines, and mentor peers and junior developers.

What you'll do

  • Design scalable, maintainable, and secure service architectures and contribute to long-term platform vision.
  • Build backend services and background worker applications using C# in a functional paradigm or TypeScript.
  • Work with SQL (especially PostgreSQL) and NoSQL databases to ensure performance and reliability.
  • Implement and maintain CI/CD pipelines, Git workflows, and Infrastructure as Code across Docker, Kubernetes, and AWS.
  • Mentor and develop junior engineers through code reviews, technical guidance, and pairing.

What you bring

  • 7–10 years of progressive software engineering experience with technical leadership.
  • Proficiency or ability to quickly ramp up with typed, functional programming in C# or TypeScript.
  • Extensive experience with system architecture, database optimization (PostgreSQL preferred), and distributed systems.
  • Strong hands-on experience with cloud infrastructure, Docker, Kubernetes, and AWS.
  • Proven experience with security best practices, CI/CD, and Agile/Scrum delivery.

About Later

Later is an AI-powered influencer marketing platform that pairs proprietary performance data with creator relationship management. It helps enterprise brands like Nike, Wayfair, and Unilever launch and scale high-performing creator campaigns.

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