Expertise in one or more: Java, Scala, Lua, Rust
Maintaining and deploying compute environments across local and cloud-based systems
Ability to proactively manage projects across multiple teams and troubleshoot issues
Proven ability to influence technical decisions across multiple teams or organizations
Strong strategic thinking—ability to connect engineering decisions to long-term business outcomes
Exceptional communication skills, enabling clear articulation of complex technical approaches to senior leadership and cross-functional audiences
Ability to identify emerging technologies and guide their adoption
Expertise in reliability engineering, observability, platform governance, and operational excellence for mission-critical systems
Preferred Qualifications
Experience working with Experimentation (A/B Testing)
Experience working with Feature Flags and risk-mitigated deployments
Experience building data solutions and AI/ML products
Strong contributions to open-source frameworks, standards, or libraries
Responsibilities
Lead and participate in medium- to large-scale projects by reviewing requirements; translating requirements into technical solutions; designing solutions (design docs, wireframes, implementation plans); writing and developing code; testing; collaborating with cross-functional teams; troubleshooting open issues and bug fixes; and ensuring on-time delivery.
Troubleshoot business and production issues by gathering information (issue, impact, criticality, root cause); engaging support teams to assist in the resolution of issues; formulating an action plan; and performing actions as designated in the plan.
Provide and support the implementation of business solutions through partnerships with stakeholders, identifying needs, managing processes, and adapting to evolving demands.
Define the technical roadmap for experimentation platform services, aligning architecture decisions with multi-quarter business priorities.
Lead the design of platform-level systems, authoring architecture proposals, conducting design reviews, and setting technical direction across services.
Drive cross-org initiatives, collaborating with analytics, platform, and product teams to deliver unified experimentation capabilities.
Ensure operational excellence for experimentation backend services, joining and driving incident mitigation efforts and root cause analysis.
