What are the responsibilities and job description for the Sr Software Engineer (Apps & Ai), Sales Engineering position at Apple, Inc.?
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple's Sales Engineering team is shaping the future of Channel Sales with innovative, high-impact applications. We're looking for a Senior Software Engineer to help us design and build the next generation of intelligent systems that power Apple's global partner ecosystem.In this role you will be partnering with cross functional teams across Apple. You will work closely with our business leaders and other partners to implement these new solutions. The candidate must be able to work independently, understand the needs and build the solutions for sophisticated architecture and comfortable working under pressure at times.If you're passionate about applying AI to solve complex business problems, experimenting with emerging GenAI technologies, and building products that make a real difference, join our collaborative team and help us move fast on game-changing ideas.\\n
Join Apple's Sales Engineering team as a Senior Software Engineer and help us build the intelligent, scalable solutions that drive Apple's global Channel Sales! You'll be at the forefront, architecting, designing, and implementing highly available enterprise solutions that truly match Apple's scale. We're looking for someone who blends deep expertise in backend technologies with strong engineering skills. You're passionate about applying design patterns to solve real-world problems and thrive in a fast-paced environment where delivering value quickly is key. You'll collaborate closely with product, design, and engineering teams to design, develop, deploy, and optimize ML-powered applications that push the boundaries of innovation. You'll have the opportunity to choose the right technology stack, combining relevant SQL and NoSQL technologies to architect optimal solutions. Leverage your expertise in Java frameworks including Spring, REST, etc. You will also drive technical design and perform code reviews. If you're excited about shaping impactful solutions in a collaborative, experiment-driven environment, the Sales Engineering team is the place to be!\n
Bachelors Degree in Engineering, or equivalent experience.\n10 years leading software design & architecture.\n10 years large scale distributed systems.\nHands on experience with GenAi technologies.
10 years Java & distributed databases.\n5 years design, development and deployment of enterprise systems.\nExperience with Apache Kafka and Apache Solr is a plus.\nExperience with big data pipelines using Hadoop and Apache Spark is a plus.\nExperience with leading and mentoring Engineers.\nStrong curiosity and a willingness to learn and talk about emerging technologies along with a positive and enthusiastic engagement style.\nExperience extending beyond traditional LLMs/LMMs to include agent-based systems and agentic workflows.\nGood understanding of various distributed system concepts.\nExperience in designing and building Active-Active systems.\nExperience with Java and J2EE, Java11 related technologies: Spring Framework, spring-boot, JUnit / TestNG. Strong knowledge and understanding of data structures, algorithms, design patterns, concurrency, multi-threading, scalability, fault tolerant designs, enterprise architecture and software engineering principles.\nSolid understanding of data modeling and database systems including Oracle, Cassandra, other NOSQL technologies.\n
Join Apple's Sales Engineering team as a Senior Software Engineer and help us build the intelligent, scalable solutions that drive Apple's global Channel Sales! You'll be at the forefront, architecting, designing, and implementing highly available enterprise solutions that truly match Apple's scale. We're looking for someone who blends deep expertise in backend technologies with strong engineering skills. You're passionate about applying design patterns to solve real-world problems and thrive in a fast-paced environment where delivering value quickly is key. You'll collaborate closely with product, design, and engineering teams to design, develop, deploy, and optimize ML-powered applications that push the boundaries of innovation. You'll have the opportunity to choose the right technology stack, combining relevant SQL and NoSQL technologies to architect optimal solutions. Leverage your expertise in Java frameworks including Spring, REST, etc. You will also drive technical design and perform code reviews. If you're excited about shaping impactful solutions in a collaborative, experiment-driven environment, the Sales Engineering team is the place to be!\n
Bachelors Degree in Engineering, or equivalent experience.\n10 years leading software design & architecture.\n10 years large scale distributed systems.\nHands on experience with GenAi technologies.
10 years Java & distributed databases.\n5 years design, development and deployment of enterprise systems.\nExperience with Apache Kafka and Apache Solr is a plus.\nExperience with big data pipelines using Hadoop and Apache Spark is a plus.\nExperience with leading and mentoring Engineers.\nStrong curiosity and a willingness to learn and talk about emerging technologies along with a positive and enthusiastic engagement style.\nExperience extending beyond traditional LLMs/LMMs to include agent-based systems and agentic workflows.\nGood understanding of various distributed system concepts.\nExperience in designing and building Active-Active systems.\nExperience with Java and J2EE, Java11 related technologies: Spring Framework, spring-boot, JUnit / TestNG. Strong knowledge and understanding of data structures, algorithms, design patterns, concurrency, multi-threading, scalability, fault tolerant designs, enterprise architecture and software engineering principles.\nSolid understanding of data modeling and database systems including Oracle, Cassandra, other NOSQL technologies.\n