Senior Staff Software Engineer
New
W
WebflowWeb marketing
Remote-first (United States; BC & ON, Canada)Full-TimeStaff
SalaryUnited States Zone A: $232,000 - $290,000; Zone B: $217,600 - $272,000; Zone C: $204,800 - $256,000 (USD). Canada (ON & BC): $253,000 - $316,000 (CAD). This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level.
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Job Details
- Experience
- 12+ years of software engineering experience
- Required Skills
- PythonJavaGoRESTful APIsDistributed Systems
Requirements
- 12+ years of software engineering experience, including extensive expertise architecting and operating backend and distributed systems at significant scale.
- Strong technical foundation across programming languages such as Python, Java, or Go.
- Deep fluency in modern frameworks, distributed-systems patterns, and large-scale system design.
- Experience designing, building, and operating high-throughput, data-intensive distributed systems in production.
- Understanding of scalability, fault tolerance, consistency tradeoffs, observability, and performance optimization.
- Demonstrated technical leadership across ambiguous, cross-pillar initiatives, influencing architecture, execution, and engineering strategy.
- Ability to partner with product, design, data science, and ML stakeholders to translate business needs into scalable technical solutions.
- Strong judgment and clear communication with technical and executive audiences.
- Proactive engagement with AI and emerging technologies.
- BS/BA college degree or relevant experience.
Responsibilities
- Set the long-term technical vision and architecture for backend systems powering experimentation, personalization, analytics, and conversion optimization.
- Architect and evolve high-throughput distributed systems and APIs that process visitor and event data with low latency and high availability.
- Lead foundational platform investments and data infrastructure that unlock future product capabilities.
- Partner with data scientists, ML engineers, and product engineers to productionize statistical and AI/ML capabilities in real-time backend infrastructure.
- Lead complex, multi-team, multi-quarter technical initiatives from problem framing and strategy through implementation, launch, and operational ownership.
- Influence engineering roadmaps and technical strategy across the Convert pillar and partner pillars.
- Raise engineering standards through architecture review, technical standards, observability, and operational excellence practices.
- Mentor and grow staff and senior engineers.
- Translate product vision into concrete technical problems and execution plans.
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