{"id":2133555,"url":"https://alion.io/job/apple-senior-software-engineer-cloud-efficiency","title":"Senior Software Engineer, Cloud Efficiency","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":931,"ghost_share":0,"stale_share":0.15,"repost_share":0.002,"time_to_fill_p50_days":102,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":216000,"max_usd":397000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3441},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"FinOps","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-07-10T21:55:58Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T09:00:54Z","board_verified":true,"closed_at":null,"days_open":104,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":104},"description":"Apple is seeking a Senior Software Engineer to help engineering teams understand, model, and optimize infrastructure demand across large-scale cloud services. This role combines deep application and systems expertise with capacity management, performance engineering, and infrastructure efficiency.\nYou will partner closely with many engineering teams to develop a deep understanding of their applications, architectures, workloads, and growth patterns; identify the signals that drive infrastructure consumption; and translate those signals into measurable resource demand and capacity requirements.\nThis is a hands-on technical role requiring broad experience across distributed systems, application architecture, observability, cloud infrastructure, and capacity planning. You will help teams make informed infrastructure decisions while ensuring resources are used efficiently without compromising reliability, performance, or scalability.\nDescription\nYou will embed with engineering teams responsible for complex, large-scale services and become a technical partner in understanding how their systems consume infrastructure.\nThe role requires the ability to navigate complex application ecosystems, understand dependencies and architectural characteristics, and connect application and business-level workload signals to underlying compute, memory, storage, network, and platform resource consumption.\nYou will work with teams to establish meaningful demand models, improve observability into resource utilization, forecast future infrastructure requirements, and identify opportunities to improve efficiency.\nYou will also help develop common methodologies, tooling, and standards that allow these practices to scale across multiple organizations and services.\nSuccessful candidates will combine strong systems engineering skills with curiosity, analytical thinking, and the ability to build trusted technical relationships across application, infrastructure, operations, finance, and leadership teams.\nMinimum Qualifications\n5+ years of software engineering experience developing, operating, or architecting large-scale distributed services and infrastructure\nStrong software engineering skills and proficiency in one or more programming languages such as Java, Python, or Go, with experience designing and implementing production-quality systems, tooling, and automation\nAbility to understand and reason about complex application architectures spanning multiple technologies, services, dependencies, and infrastructure layers\nStrong understanding of distributed systems and cloud infrastructure, including compute, storage, networking, data technologies, and containerized environments\nExperience using observability and telemetry, including metrics, logs, and performance data, to understand system behavior, resource utilization, and operational characteristics\nAbility to translate complex technical problems and system behavior into scalable engineering solutions\nExcellent communication skills and demonstrated ability to build effective technical partnerships and drive solutions across engineering organizations\nBachelor’s or Master’s degree in Computer Science or equivalent experience\nPreferred Qualifications\nExperience with infrastructure capacity planning, demand forecasting, and resource management, including connecting application and business demand to infrastructure requirements\nExperience developing scalable capacity, forecasting, optimization, or resource intelligence solutions for large-scale infrastructure environments\nExperience with Kubernetes and cloud-native architectures, distributed data systems, traffic management, and large-scale service platforms\nUnderstanding of FinOps and infrastructure business operations, including cost management, procurement, data center capacity, cloud billing, and financial planning\nExperience applying GenAI, LLMs, or other emerging technologies to build intelligent automation, derive insights from complex systems, and improve engineering workflows at scale\nExperience with performance and efficiency engineering across application and infrastructure layers, including identifying architectural, configuration, and operational optimization opportunities\nDemonstrated ability to define technical standards and methodologies, communicate complex technical concepts, and influence technical direction across engineering and organizational 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