Apple"s Strategic Data Solutions (SDS) team is seeking a hands-on, self-motivated Software Engineering Manager to deliver cutting-edge analytical solutions with enhanced user experience. Our mission is Enterprise Decision Automation, protecting Apple and our customers from fraud, waste, and abuse. Your contributions will be pivotal to our success.\\n\\nDo you thrive on solving complex challenges with direct, meaningful impact? Are you passionate about building tools and systems that enable data analysis over petabytes of data? \\n\\nDo you want to work alongside talented Data Scientists, Machine Learning Engineers, Software Engineers, Program Managers, and Apple business partners? If so, we"d love to have you on our team!
With the expansive data we have, our job is to build meaningful tools and solutions that empower our internal partners and drive fraud prevention across Apple. The Solutions SWE team is a global, cross-LOB (line-of-business) engineering team focused on four core areas: efficiency solutions, internal tooling, operational excellence, and direct LOB support.\\n\\nAs the Engineering Manager for Solutions SWE, you will directly lead and grow a team of 5-6 Software Engineers based in Cork, Ireland (EMEA), while contributing to the broader functional roadmap across regions. You will balance hands-on technical leadership with people management, developing talent, and partnering with fraud investigators, analysts, engineers, product managers, and business partners to ship solutions that solve real business problems.
Directly managing, coaching, and growing the engineering team in Cork, including hiring, performance management, and career development\\nContributing to the functional and technical roadmap for Solutions SWE, in partnership with regional counterparts\\nPartnering with fraud investigators, analysts, product managers, and business partners to gather requirements, set priorities, and deliver outcomes\\nEnsuring the team ships reliable, scalable production software and automation that reduces manual work across operations, analytics, and engineering\\nOwning delivery end-to-end from planning and development through deployment, monitoring, and continuous improvement\\nCoordinating across time zones and regional teams to keep a distributed organization aligned and effective\\nPartnering with the broader SWE organization to align on technical patterns and grow the engineering craft of the team
3+ years leading software engineers, either as a people manager or as a technical lead who directed the day-to-day work of a team of at least 3 engineers\\nHands-on experience writing and shipping production software in Python, Java, or a comparable language, with code contributions in the last 2 years\\nExperience owning delivery end to end, from planning and development through deployment, monitoring and iteration\\nExperience working with non-engineering partners (for example product, operations, analysts or business stakeholders) to gather requirements and agree priorities\\nExperience working with teams spread across multiple locations or time zones
Experience with or exposure to machine learning, useful for partnering with MLEs\\nTrack record of quickly getting productive with new AI/LLM tooling.\\nHands-on experience with cloud infrastructure and container orchestration (AWS, Kubernetes)\\nExperience with data pipeline, warehousing, and/or observability tooling (Airflow, Snowflake, Splunk, Superset)\\nExpertise in real-time systems, modern architecture, and data processing at scale\\nExperience building systems for fraud prevention or similarly challenging problems\\nEducational background in Computer Science or related field, or equivalent practical experience
With the expansive data we have, our job is to build meaningful tools and solutions that empower our internal partners and drive fraud prevention across Apple. The Solutions SWE team is a global, cross-LOB (line-of-business) engineering team focused on four core areas: efficiency solutions, internal tooling, operational excellence, and direct LOB support.\\n\\nAs the Engineering Manager for Solutions SWE, you will directly lead and grow a team of 5-6 Software Engineers based in Cork, Ireland (EMEA), while contributing to the broader functional roadmap across regions. You will balance hands-on technical leadership with people management, developing talent, and partnering with fraud investigators, analysts, engineers, product managers, and business partners to ship solutions that solve real business problems.
Directly managing, coaching, and growing the engineering team in Cork, including hiring, performance management, and career development\\nContributing to the functional and technical roadmap for Solutions SWE, in partnership with regional counterparts\\nPartnering with fraud investigators, analysts, product managers, and business partners to gather requirements, set priorities, and deliver outcomes\\nEnsuring the team ships reliable, scalable production software and automation that reduces manual work across operations, analytics, and engineering\\nOwning delivery end-to-end from planning and development through deployment, monitoring, and continuous improvement\\nCoordinating across time zones and regional teams to keep a distributed organization aligned and effective\\nPartnering with the broader SWE organization to align on technical patterns and grow the engineering craft of the team
3+ years leading software engineers, either as a people manager or as a technical lead who directed the day-to-day work of a team of at least 3 engineers\\nHands-on experience writing and shipping production software in Python, Java, or a comparable language, with code contributions in the last 2 years\\nExperience owning delivery end to end, from planning and development through deployment, monitoring and iteration\\nExperience working with non-engineering partners (for example product, operations, analysts or business stakeholders) to gather requirements and agree priorities\\nExperience working with teams spread across multiple locations or time zones
Experience with or exposure to machine learning, useful for partnering with MLEs\\nTrack record of quickly getting productive with new AI/LLM tooling.\\nHands-on experience with cloud infrastructure and container orchestration (AWS, Kubernetes)\\nExperience with data pipeline, warehousing, and/or observability tooling (Airflow, Snowflake, Splunk, Superset)\\nExpertise in real-time systems, modern architecture, and data processing at scale\\nExperience building systems for fraud prevention or similarly challenging problems\\nEducational background in Computer Science or related field, or equivalent practical experience