Staff Platform Engineer

Role Description

We're looking for a highly skilled, curious, and self-driven Staff Platform Engineer to help build the technical foundations that power OpenSea. In this role, you'll design and evolve the platform, services, and infrastructure that enable our engineering teams to build, deploy, and operate products quickly, reliably, and at scale. You'll partner closely with product engineers to improve developer experience, system performance, and operational excellence while helping evolve the AI-enabled workflows, engineering systems, and technical foundations that make our entire team more effective builders.

Responsibilities

• Design, build, and evolve the platform services, infrastructure, and internal tooling that power OpenSea's products.
• Own complex technical systems from definition through implementation, balancing scalability, reliability, maintainability, and developer experience.
• Bring best-in-class observability, monitoring, and alerting to all of the systems at OpenSea.
• Maintain and improve AI skills & tools to make our systems more accessible, introspectable, and easy to contribute to.
• Accelerate and expand CI coverage to improve correctness and AI verifiability.
• Partner closely with product teams to accelerate build & deployment of critical products.
• Build and ship high-quality, reliable software leveraging AI, modern development tools, and strong engineering judgment.

Qualifications

• 7+ years of software engineering experience building large-scale backend or platform systems.
• Strong fluency in JVM languages such as Kotlin or Java.
• Experience designing and operating distributed systems, backend services, and modern cloud infrastructure.
• Strong understanding of platform engineering principles, developer tooling, CI/CD, observability, and operational best practices.
• Demonstrated ability to own complex, ambiguous technical problems and deliver thoughtful, scalable solutions.
• Excitement for making independent technical decisions balancing reliability, scalability, performance, and long-term maintainability.
• Experience leveraging AI tools and workflows to improve engineering quality, efficiency, and team effectiveness.
• Passion for Web3, digital ownership, AI, or other emerging technologies.

Requirements

• Base salary ranges from $190,000 to $345,000 USD for candidates based in the United States.
• Base salary ranges from $161,500 to $293,250 USD for candidates based in the European Union.
• Compensation for candidates based outside of the US and EU will vary to reflect local market conditions.

Benefits

• Health Benefits: We cover 100% Dental/Vision/Medical for employees and 90% for dependents.
• Flexible Time Off Policy: Our flexible time off policy is aimed at letting our employees take as much time off as they'd like to refresh.
• Parental Leave: 16 Weeks of Paid Parental Bonding & up to 8 additional weeks for the birthing parent.
• Mental Health: We offer access to Spring Health, covering 8 therapy & 8 coaching sessions per year.
• 11 Company Holidays.
• Fidelity 401K Plan.
• Internet/Mobile Reimbursement Plan.
• Reimbursement or Monthly Snack Delivery.
• ✈ Company & Team retreats to get together for fun and collaboration.
• ☕ Team Member Co-Working and Gathering Expense.
• MacBook Pro & WFH Stipend to make sure you are set up for success.
• Weekly $50 Uber Eats credit.