Staff Software Engineer, Clean Room

Другое

• Company is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the Company data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. Company is headquartered in San Francisco, California, with offices worldwide. Learn more at Company.com .
• Our team designs and expands the core software that drives Company’s Clean Room ecosystem, ensuring a secure and dependable environment for data collaboration. We excel at building distributed systems engineered for privacy-focused computation and resilient platform functionality. Working closely across engineering and product disciplines, we tackle complex technical challenges to streamline developer workflows and enhance the end-user experience. Driven by a commitment to operational excellence, measurable business impact, and ethical innovation, our mission balances rapid feature delivery with long-term platform strategy.
• You will:
• Design, build, and sustain scalable software and infrastructure supporting our privacy-centric data collaboration ecosystem.
• Lead the technical strategy and global deployment of distributed platform components and backend services.
• Translate high-level product requirements into tactical execution plans, engineering roadmaps, and measurable goals.
• Drive technical architecture reviews and champion best practices to enhance system security, maintainability, and reliability.
• Partner cross-functionally with security, privacy, and product stakeholders to deliver high-impact capabilities across the development lifecycle.
• Guide engineering talent through direct technical leadership, detailed design feedback, and code mentorship.
• Streamline developer efficiency by reducing friction in operational workflows, automated testing, and CI/CD deployment pipelines.
• Utilize system performance metrics and operational analytics to guide roadmap priorities and drive continuous product quality.
• Troubleshoot, resolve, and prevent operational outages to ensure high availability for mission-critical services.
• Exert cross-organizational technical influence to help shape future platform investments and overarching engineering strategies.
• About you:
• 8+ years of professional expertise in software engineering, with a proven track record of deploying and managing large-scale production environments.
• Extensive background in the architecture, implementation, and long-term maintenance of high-scale backend services and distributed systems.
• Demonstrated capability in spearheading technical initiatives that require coordination across multiple engineering teams or complex workstreams.
• Exceptional proficiency in writing robust, clean code using one or more modern programming languages.
• Deep understanding of advanced system architecture, comprehensive API design, data modeling techniques, and service-oriented frameworks.
• Commitment to engineering excellence through the application of rigorous testing, peer reviews, system observability, and operational best practices.
• A collaborative mindset for working cross-functionally with product stakeholders and engineering peers to ship impactful, high-stakes features.
• Skill in deconstructing highly ambiguous technical challenges into clear, actionable roadmaps and phased project execution plans.
• Articulate communication skills, both written and verbal, capable of influencing technical strategy and alignment.
• Degree in Computer Science, Software Engineering, or an equivalent technical field of study.
• Preferred skills:
• A background in designing and scaling high-volume data pipelines alongside modern workflow orchestration systems.
• Hands-on experience building and maintaining cloud-native infrastructure and containerized deployment pipelines.
• Prior domain expertise in privacy-centric architectures, data clean rooms, analytical frameworks, or large-scale data platforms.
• Proven success in navigating strict security protocols, regulatory compliance, and privacy standards in complex environments.
• Demonstrated leadership in elevating engineering productivity through technical mentorship, code quality, and process refinement.
• Strong track record of balancing short-term product deliverables with long-term platform strategy and technical vision.
• The approximate annual base compensation range is $156,500 to $235,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
• We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.
• To all recruitment agencies : Company does not accept agency resumes. Please do not forward resumes to our jobs alias, Company employees or any other company location. Company is not responsible for any fees related to unsolicited resumes.