Staff Software Engineer, Core Everand

<h3>Accountabilities:</h3><li>Set technical direction for the backend platform by creating and socializing design documents, leading architecture reviews, and translating ambiguous product requirements into concrete technical solutions.</li><li>Design, build, and evolve scalable backend services supporting web and mobile experiences, discoverability, personalization, experimentation, and core content consumption.</li><li>Own backend reliability and platform health across staging environments, CI/CD, databases, queues, infrastructure costs, observability, and operational performance.</li><li>Establish and improve reliability practices, including service-level objectives, metrics, alerts, telemetry, and effective approaches to debugging distributed systems.</li><li>Raise engineering standards through thoughtful code reviews, mentorship, pairing, knowledge sharing, and strong expectations around architecture, testing, security, and operations.</li><li>Represent backend engineering in cross-team planning and serve as a technical connector across Engineering, Product, Design, Analytics, Web, Mobile, and ML teams.</li><li>Drive modernization initiatives that simplify legacy systems, eliminate technical debt, improve scalability, and increase engineering velocity.</li><li>Partner with data and ML teams to develop backend capabilities supporting recommendations, personalization, experimentation, and consistent data experiences across platforms.</li><li>Use metrics, analytics, and telemetry to identify trends, investigate anomalies, and inform technical priorities and product decisions.</li><li>Contribute to architecture review groups and cross-team technical initiatives that strengthen engineering practices and organizational standards.</li><li>Champion a user-first approach, ensuring backend architecture and technical decisions ultimately improve the reading and listening experience.</li><li>Foster a culture of technical excellence, continuous improvement, collaboration, and responsible engineering decision-making.</li><h2>Requirements:</h2><li>Significant professional experience in backend software engineering, with a proven record of designing, building, and scaling distributed systems.</li><li>Strong programming skills in at least one modern backend language such as Ruby, Scala, Go, or Python, with Ruby experience particularly valued.</li><li>Deep understanding of distributed systems, backend architecture, scalable service design, and production engineering.</li><li>Strong knowledge of reliability and observability practices, including SLOs, metrics, alerting, telemetry, and distributed-system debugging.</li><li>Demonstrated technical leadership experience, including setting architectural direction, mentoring engineers, and leading large-scale migrations or modernization initiatives.</li><li>Ability to write clean, maintainable, secure, and scalable production code.</li><li>Strong ability to transform ambiguous product requirements into clear technical designs and actionable engineering plans.</li><li>Excellent cross-functional communication skills and the ability to collaborate confidently with senior Product, Design, Analytics, ML, Web, and Mobile stakeholders.</li><li>Collaborative leadership style focused on achieving the best technical and customer outcome rather than individual ownership of ideas.</li><li>Passion for mentoring, knowledge sharing, architecture discussions, and raising engineering standards across teams.</li><li>Strong user empathy and the ability to connect technical decisions with meaningful improvements to customer experiences.</li><li>
<strong>Nice to have:</strong>Strong coding experience in Ruby.</li><li>
<strong>Nice to have:</strong>Experience improving reliability, latency, or throughput in large-scale distributed systems.</li><li>
<strong>Nice to have:</strong>Experience working with ML teams on recommendation, personalization, or feed systems.</li><li>
<strong>Nice to have:</strong>Familiarity with experimentation and feature-flagging platforms.</li><h2>Benefits:</h2><li>Competitive U.S. base salary ranging from approximately<strong>$141,000 to $242,000 annually</strong>outside California, depending on geographic market and individual qualifications.</li><li>California salary range of approximately<strong>$171,000 to $255,000 annually</strong>, depending on geographic market and individual qualifications.</li><li>Competitive equity ownership opportunity as part of the total compensation package.</li><li>Comprehensive health, dental, and vision coverage.</li><li>Mental health support and disability coverage.</li><li>Flexible remote work model designed to balance individual autonomy with meaningful community connection.</li><li>Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.</li><li>Paid parental leave and family support benefits.</li><li>Retirement matching and employee equity programs.</li><li>Learning and development programs supporting ongoing professional growth.</li><li>Wellness and home-office stipends.</li><li>Complimentary access to the company's suite of digital products.</li><li>Enterprise access to leading AI tools.</li><li>Opportunities for intentional in-person gatherings, team connection, and collaboration.</li><li>Inclusive culture that values diverse perspectives, technical excellence, experimentation, and continuous improvement.</li><li>Interview accommodations available for candidates who require reasonable adjustments.</li>