Verified Employer Hiring Fast Featured Role

Senior Platform Engineer

Oyster HR verified
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Location
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Work Model
home_work remote
Job Type
work Full-time
External Interest
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Salary
payments Competitive

Intelligence Match

Match: ??%

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Skills Match 87%
Experience Match 88%
Portfolio Match 84%
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About the role

Oyster is a global employment platform that enables companies to hire, pay, and care for talent anywhere. We are a fully remote, distributed team across 60+ countries, and we are building a high-performing culture that values both performance and people. We are looking for a Senior Platform Engineer to join our Platform Flow Engineering team, which builds the systems and tooling that allow our engineers to ship software quickly, safely, and reliably at scale.

In this role, you will help shape the platform capabilities that sit between code and production, from CI/CD and cloud infrastructure to observability, developer tooling, and operational workflows. You will work closely with application and security engineers to remove infrastructure complexity, create better developer experiences, and build reliable, secure foundations that scale with Oyster. You will also explore practical ways to use AI to improve developer productivity and reduce engineering toil.

Responsibilities

  • Build a world-class developer experience: Design and maintain internal tooling, packages, and abstractions that create simple, self-service paths for engineers and reduce infrastructure complexity and operational toil.
  • Own the path from commit to production: Build, operate, and continuously improve reliable, automated CI/CD pipelines that enable engineers to ship safely, frequently, and with confidence.
  • Evolve our cloud platform: Operate and improve Oyster’s AWS infrastructure using Infrastructure as Code, with a focus on scalability, availability, security, and cost efficiency.
  • Improve reliability and observability: Apply SRE principles, observability, and effective incident-management practices to reduce outages, accelerate recovery, and identify opportunities to eliminate recurring operational work.
  • Accelerate engineering with AI: Identify and implement practical ways to use AI, automation, and intelligent tooling to improve developer productivity, accelerate incident diagnosis, automate repetitive workflows, and reduce operational toil.
  • Build platform capabilities as a product: Understand the needs of internal engineering teams, turn recurring pain points into scalable platform solutions, and use feedback and metrics to continuously improve the developer experience.
  • Partner closely with engineering: Work openly with application, security, and infrastructure teams to diagnose issues, support incident response, and help teams adopt reliable and secure ways of building and operating software.
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