Senior Backend Engineer, Platform Enablement

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Build and continuously evolve reusable backend platforms and developer tooling that support performance testing, analysis, benchmarking, and optimization.
• Create self-service workflows, documentation, templates, diagnostics, and AI-assisted engineering capabilities that reduce reliance on bespoke performance support.
• Enable feature teams to integrate performance testing into their own development and continuous integration workflows.
• Apply AI-enabled development practices to accelerate implementation, testing, debugging, documentation, and engineering automation.
• Improve performance results, reporting, trend visibility, and evidence-based decision-making so engineering teams can evaluate performance independently.
• Help establish the documentation, templates, standards, and guidance required to expand self-service adoption across research and development.
• Influence engineering teams to make performance testing and analysis an integral part of development and release preparation.
• Turn hands-on engagements and recurring performance challenges into generalized capabilities that can be adopted by multiple teams.
• Provide technical expertise for complex performance questions, tooling improvements, and new platform capabilities.
• Collaborate asynchronously and cross-functionally with development teams to build solutions that scale beyond individual engagements.

Requirements:

• Demonstrated experience building backend or platform software and developing internal platforms or developer-facing tooling.
• Experience partnering with software development teams to improve engineering workflows, productivity, and operational practices.
• Experience applying AI-assisted development practices across the software lifecycle, including implementation, testing, debugging, documentation, or automation.
• Practical experience with software performance, such as performance analysis, optimization, benchmarking, or leading performance-related engineering improvements.
• Hands-on experience with Kubernetes and k6, along with Amazon Web Services, Google Cloud Platform, or comparable cloud infrastructure.
• Ability to design durable, reusable solutions that support broad adoption through strong systems thinking.
• Strong backend engineering and platform design skills, with an understanding of scalable developer infrastructure and self-service capabilities.
• Clear written and verbal communication skills, with the ability to influence and collaborate effectively across teams without relying on direct authority.
• Ability to work effectively in an asynchronous environment and collaborate broadly across research and development organizations.
• Strong problem-solving skills and the ability to turn complex or ambiguous performance challenges into practical, scalable engineering solutions.

Benefits:

• Fully remote position within the United States.
• Base salary range of $156,800–$235,200 USD.
• Benefits supporting health, finances, and overall well-being.
• Flexible paid time off.
• Equity compensation and employee stock purchase plan.
• Growth and Development Fund to support professional learning and career development.
• Parental leave.
• Team member resource groups and an inclusive workplace environment.
• Support for accessible and inclusive interview experiences, including reasonable accommodations when needed.
• Opportunities to work on AI-assisted engineering practices, backend platforms, developer tooling, and large-scale performance enablement initiatives.