Description
In this role you’ll manage, challenge, and coach a small, highly effective software team while giving tactical and strategic guidance, finding new opportunities within the Reliability department, proposing org-wide software solutions, and create new tools and platforms. Responsibilities include: - Collaborate with cross-functional teams to design and implement scalable, efficient, and reliable multi-terabyte scale data solutions across the Reliability Engineering department. - Define and drive the strategy for the team’s big data architecture, enabling reliable analytics and insights at scale, with emphasis on performance, governance, and long-term sustainability. - Build and integrate cutting-edge AI/ML solutions that drive decision-making, automate workflows, and surface novel insights from complex datasets. - Serve as the primary point of contact for stakeholders, providing regular updates on project progress, roadmaps, and key deliverables. - Cultivate strong partnerships across engineering, product, and business teams, acting as both a visionary and translator between software and non-software audiences. - Collaborate with hardware and software teams on implementation details and schedule, negotiating outcomes that resolve timing, scope, trade-offs, and resource conflicts. - Garner support from other teams and resources at Apple to achieve team goals. Be a trusted and constructive partner, leading technical discussions on requirements, design, implementation, and validation. - Foster a culture of innovation, continuous learning, and operational excellence within the team. - Tailor verbal and written communication to multidisciplinary audiences at all levels. - Ensure compliance with Apple’s security, privacy, and operational standards throughout all engineering activities.
Minimum Qualifications
B.S. in Computer Science, Software Engineering, Computer Engineering, or related field. 3+ years experience managing lean software engineering teams. Experience leading several concurrent high-visibility cross-functional projects. Demonstrated success managing remote employees and contractors distributed globally. Deep expertise in developing and maintaining large-scale, complex data warehouses and ETL pipelines, with a focus on scalability and reliability. Experience building software leveraging ML and GenAI to create innovative solutions to business needs, and enhance organizational and development workflows. Experience with cloud environments such as AWS and GCP. Experience with web technologies (Ruby on Rails and EmberJS preferred but not required). Exceptional communication and stakeholder management skills to bridge software and non-software audiences. Excellent prioritization skills to manage competing requests from multiple business units, aligning efforts with organizational strategy. Proven track record collaborating with experts outside of your field such as mechanical engineers, materials scientists, and electrical engineers.
Preferred Qualifications
M.S. in Computer Science, Software Engineering, Computer Engineering, or related field Experience with ML-based anomaly detection, predictive analytics, and leveraging GenAI tools to unlock advanced insights. Strong track record of aligning diverse teams behind data-driven innovation
