Senior Software Engineer, Capacity & Efficiency Engineering

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 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 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.

You will embed with engineering teams responsible for complex large-scale services and become a technical partner in understanding how their systems consume 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 will work with teams to establish meaningful demand models improve observability into resource utilization forecast future infrastructure requirements and identify opportunities to improve efficiency. nnYou will also help develop common methodologies tooling and standards that allow these practices to scale across multiple organizations and 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.

A successful candidate will leverage experience across application and infrastructure domains to improve how teams understand plan and optimize their infrastructure resources. Responsibilities include:nnPartnering closely with other engineering teams to understand complex application architectures dependencies workload characteristics operational requirements and the underlying infrastructure supporting themnDeveloping a deep understanding of how services consume infrastructure across compute storage data network observability and other platform resources and translating that understanding into measurable resource requirements that evolve with application architecture workload and business needsnDeveloping scalable engineering solutions tooling and automation to provide visibility into resource consumption validate capacity requirements identify capacity risks and efficiency opportunities and establish safeguards that help engineering teams manage their infrastructure effectivelynIdentifying and driving software configuration architectural and operational improvements that increase overall system efficiency while preserving reliability performance and scalabilitynEstablishing repeatable methodologies engineering practices and standards for resource demand modeling capacity management and infrastructure efficiency across diverse applications and workloadsnCollaborating across application engineering infrastructure SRE capacity planning finance business partners and leadership to align resource requirements and technical solutions and articulate the business impact and tradeoffs of infrastructure decisions and capacity constraints

5 years of software engineering experience developing operating or architecting large-scale distributed services and infrastructurenStrong 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 automationnAbility to understand and reason about complex application architectures spanning multiple technologies services dependencies and infrastructure layersnStrong understanding of distributed systems and cloud infrastructure including compute storage networking data technologies and containerized environmentsnExperience using observability and telemetry including metrics logs and performance data to understand system behavior resource utilization and operational characteristicsnAbility to translate complex technical problems and system behavior into scalable engineering solutionsnExcellent communication skills and demonstrated ability to build effective technical partnerships and drive solutions across engineering organizationsnBachelors or Masters degree in Computer Science or equivalent experience

Experience with infrastructure capacity planning demand forecasting and resource management including connecting application and business demand to infrastructure requirementsnExperience developing scalable capacity forecasting optimization or resource intelligence solutions for large-scale infrastructure environmentsnExperience with Kubernetes and cloud-native architectures distributed data systems traffic management and large-scale service platformsnUnderstanding of FinOps and infrastructure business operations including cost management procurement data center capacity cloud billing and financial planningnExperience applying GenAI LLMs or other emerging technologies to build intelligent automation derive insights from complex systems and improve engineering workflows at scalenExperience with performance and efficiency engineering across application and infrastructure layers including identifying architectural configuration and operational optimization opportunitiesnDemonstrated ability to define technical standards and methodologies communicate complex technical concepts and influence technical direction across engineering and organizational boundaries