{"id":2991456,"url":"https://alion.io/job/apple-software-site-reliability-engineer-ai-data-platforms","title":"Software Site Reliability Engineer - AI & Data Platforms","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":91,"open_postings":885,"ghost_share":0.001,"stale_share":0.158,"repost_share":0.002,"time_to_fill_p50_days":97,"computed_at":"2026-10-29T05:49:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SRE","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Flink","optional":true},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-28T17:00:08Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-29T14:06:45Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something. Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here. AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.\nDescription\nAs a Data Platform SRE, you will be responsible for developing and operating our big data platform using open source or other solutions to aid critical applications, such as analytics, reporting, and AI/ML apps. This includes working to optimize performance and cost, automate operations, and identifying and resolving production issues to ensure the best data platform experience\nMinimum Qualifications\nExperience: 3+ years in software site reliability engineering or software development roles.\nProgramming: Proficient in at least one of Python, Golang, or Java.\nSkilled at coding for distributed systems and developing resilient data pipelines.\nCloud Platforms: Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud Platform).\nPreferred Qualifications\nExpertise in designing, building, and operating critical, large-scale distributed systems with a focus on low latency, fault-tolerance, and high availability.\nExperience with contribution to Open Source projects is a plus.\nExperience with multiple public cloud infrastructure, managing multi-tenant Kubernetes clusters at scale and debugging Kubernetes/Spark issues.\nExperience with workflow and data pipeline 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