Sr. Software Engineer, Big Data - Apple Services Engineering
Apple
Sr. Software Engineer, Big Data - Apple Services Engineering
Job Description
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade, Payments and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. Data is our first class citizen. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results. The systems we build have significant impact on our stakeholders. And most importantly, we are deeply committed to Apple’s privacy policy, which forms Apple’s core values. You will have important responsibility and influence in designing and building the data platform to empower data analytics.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- building distributed large scale data processing systemsintermediate
- building frameworksintermediate
- building platformsintermediate
- using big data technologiesintermediate
- building distributed systemsintermediate
- generating data analyticsintermediate
- designing scalable systemsintermediate
- ensuring high availabilityintermediate
- providing consistent resultsintermediate
- designing data platformsintermediate
- empowering data analyticsintermediate
- commitment to privacy policyintermediate
Required Qualifications
- BS or MS in Computer Science or a related field with 10+ years experience. (experience, 10 years)
- Strong technical knowledge in Java, Scala, SQL. (experience)
- Experience leading complex engineering projects from inception to production across organizational boundaries. (experience)
- Exceptional analytical skills combined with a deep knowledge of data structures and algorithms. (experience)
- Can see the big picture, set a vision, and grow the team and platform in accordance to that vision. (experience)
- Excellent communication skills. Can effectively communicate complex ideas and make compelling arguments - guiding the team, partners and leadership. (experience)
- Effectively collaborate with engineers, product managers, designers, collaborators, partners, etc. (experience)
- Enjoys deep technical and product discussions. Has attention to detail and can context switch across multiple projects. (experience)
- Deep experience in designing and implementing scalable big data solutions that span multi-functional teams. (experience)
- Multi year experience with Big Data technologies like Spark batch, Spark streaming, Flink and Hadoop ecosystem. (experience)
- Experience integrating messaging technologies like Kafka. (experience)
Preferred Qualifications
- Experience with mentoring, guiding, and motivating other team members. (experience)
- Experience with NoSQL data stores like Cassandra, Voldemort, etc. (experience)
- Applied experience with LLMs and/or agent in production environment. (experience)
Responsibilities
- Data is our first class citizen. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results. The systems we build have significant impact on our stakeholders. And most importantly, we are deeply committed to Apple’s privacy policy, which forms Apple’s core values. You will have important responsibility and influence in designing and building the data platform to empower data analytics.
- Join a small team of data engineers to develop and iterate quickly on all stages of data pipelines.
- Lead, design, develop and drive the unique solutions required to scale to the data needs of Apple.
- Rethink, set a technical vision and guide team, partners and stakeholders to execute on vision.
- Drive for quality, scalability and a strong collaborative environment.
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Answer 10 quick questions to check your fit for Sr. Software Engineer, Big Data - Apple Services Engineering @ Apple.
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Sr. Software Engineer, Big Data - Apple Services Engineering
Apple
Sr. Software Engineer, Big Data - Apple Services Engineering
Job Description
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade, Payments and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. Data is our first class citizen. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results. The systems we build have significant impact on our stakeholders. And most importantly, we are deeply committed to Apple’s privacy policy, which forms Apple’s core values. You will have important responsibility and influence in designing and building the data platform to empower data analytics.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- building distributed large scale data processing systemsintermediate
- building frameworksintermediate
- building platformsintermediate
- using big data technologiesintermediate
- building distributed systemsintermediate
- generating data analyticsintermediate
- designing scalable systemsintermediate
- ensuring high availabilityintermediate
- providing consistent resultsintermediate
- designing data platformsintermediate
- empowering data analyticsintermediate
- commitment to privacy policyintermediate
Required Qualifications
- BS or MS in Computer Science or a related field with 10+ years experience. (experience, 10 years)
- Strong technical knowledge in Java, Scala, SQL. (experience)
- Experience leading complex engineering projects from inception to production across organizational boundaries. (experience)
- Exceptional analytical skills combined with a deep knowledge of data structures and algorithms. (experience)
- Can see the big picture, set a vision, and grow the team and platform in accordance to that vision. (experience)
- Excellent communication skills. Can effectively communicate complex ideas and make compelling arguments - guiding the team, partners and leadership. (experience)
- Effectively collaborate with engineers, product managers, designers, collaborators, partners, etc. (experience)
- Enjoys deep technical and product discussions. Has attention to detail and can context switch across multiple projects. (experience)
- Deep experience in designing and implementing scalable big data solutions that span multi-functional teams. (experience)
- Multi year experience with Big Data technologies like Spark batch, Spark streaming, Flink and Hadoop ecosystem. (experience)
- Experience integrating messaging technologies like Kafka. (experience)
Preferred Qualifications
- Experience with mentoring, guiding, and motivating other team members. (experience)
- Experience with NoSQL data stores like Cassandra, Voldemort, etc. (experience)
- Applied experience with LLMs and/or agent in production environment. (experience)
Responsibilities
- Data is our first class citizen. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results. The systems we build have significant impact on our stakeholders. And most importantly, we are deeply committed to Apple’s privacy policy, which forms Apple’s core values. You will have important responsibility and influence in designing and building the data platform to empower data analytics.
- Join a small team of data engineers to develop and iterate quickly on all stages of data pipelines.
- Lead, design, develop and drive the unique solutions required to scale to the data needs of Apple.
- Rethink, set a technical vision and guide team, partners and stakeholders to execute on vision.
- Drive for quality, scalability and a strong collaborative environment.
Tags & Categories
Answer 10 quick questions to check your fit for Sr. Software Engineer, Big Data - Apple Services Engineering @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs