Software Engineering Tech Lead, Batch Compute

Software Engineering Tech Lead, Batch Compute

Apple

Dublin, Ireland

Description

In this role, as part of the ASE Compute Organization, you will:

• Manage and grow the Dublin team, align objectives and deliverables with teams and partners across EMEA and the US;
• Enjoy working on scalability, resilience, security, efficiency, and performance limits of infrastructure services;
• Be curious about how systems work and, more importantly, how they fail;
• Expect to own and develop significant software features from concept to production, involving cross-functional teams;
• Approach complex issues with creativity, ready to take risks and course-correct effectively to impact the success of the platform;
• Participate in on-call rotation and partner with the SRE team to triage, investigate, and resolve production issues;
• Work with teams across Apple to develop features and functionality to meet the infrastructure and scalability requirements.

Minimum Qualifications

• Demonstrated knowledge and a breadth of experience leading or managing teams that tackle and resolve complex engineering problems across multi-disciplinary domains including distributed systems, operating systems, storage, and networking to build stable, performant, and secure virtualized compute infrastructure;
• Familiarity with all aspects of software development, from architecture to deployment and maintenance;
• Quick learner and contributor to new code bases;
• Customer-focused thinking and strong problem-solving skills with attention to detail;
• Excellent verbal and written communication skills to effectively collaborate with cross-functional partners across different time zones;
• Enthusiasm about upholding Apple’s standards in product quality, design, and user experience;
• 2+ years of experience as a technical lead manager;
• 5+ years of experience in related software development (or comparable academic experience);
• Experience working with network virtualization stacks (VxLAN, Virtual Private Cloud).

Preferred Qualifications

• Experience working various hardware, operating systems, container runtimes (lxc, Apple Containerization Framework), and distributed storage systems (like Ceph);
• Operational knowledge of Kubernetes clusters;
• Strong knowledge of networking protocols and security best practices;
• Experience with measuring, analyzing, and optimizing performance and efficiency for large-scale compute platform;
• Ability to effectively communicate within a team and with project stakeholders.