AIML - Sr. Software Engineer - AIML Observability

AIML - Sr. Software Engineer - AIML Observability

Santa Clara, California, United States

Do you want to build the future of Apple-scale AI enabled observability? We're looking for an experienced full stack observability engineer to design and build cloud-native solutions that empower observability for Search, AIML Infrastructure, and Apple Intelligence products. We're at the forefront of inventing next-gen observability systems, blending cloud-first engineering, AI, and industry standards to deliver smart, scalable solutions. Your work will directly impact the experience of billions of users on their favorite Apple devices. If you are a seasoned principal or senior software engineer with a proven track record in building cloud-native observability solutions and have a deep passion for observability, large-scale distributed systems, and cloud-native technologies, we want to talk with you.

Description

We're pioneering the next generation of AI-powered observability solutions. While we innovate to build new solutions, we also leverage industry-standard open-source technologies when needed. In this role, you'll be a technical leader, collaborating with other senior engineers to design, develop and deploy cutting-edge observability solutions for our AIML products and infrastructure. You will also provide technical guidance, leverage AI pipelines, and mentor the team to deliver best-in-class solutions.

Minimum Qualifications

• 7+ years software engineering experience and strong background in computer science: distributed systems, algorithms and data structures, APIs and highly-scalable, reliable systems and micro-services
• Strong coding skills in Go, Javascript, Java, Python
• Demonstrated experience in designing and building large scale enterprise observability solutions for data collection and storage, visualization and incident management
• Demonstrated experience in building visualization solutions and features with in-depth understanding of cloud-native visualization frameworks such as Grafana, Datadog
• Experience in observability collection solutions using time series metrics, distributed traces, logs and profiles with deep understanding of cloud-native technologies such as OpenTelemetry, Prometheus and Jaeger
• Demonstrated proficiency in AWS services such as EKS and native Kubernetes, storage such as S3, networking, database and observability / monitoring services
• Excellent verbal and written communication skills with strong problem solving skills
• Excellent interpersonal skills for collaborating across teams, stakeholders, and open source collaborators

Preferred Qualifications

• Experience in building micro-services using public cloud infrastructure
• Proven experience in delivering well-architected, reliable, highly-scalable cloud-native distributed systems for data management, observability or analytics services
• Building large-scale incident management, alert management and notification systems
• Experience using Gen AI LLMs and ML models for AI compute and model observability
• Active cloud-native open source project contributions
• Proficiency using cloud-native software development tools including coding, CI/CD and testing frameworks

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.