AIML - Sr. Software Engineer - AIML Observability
Apple
AIML - Sr. Software Engineer - AIML Observability
Job Description
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. 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.
Locations
- Santa Clara, California, United States 95050
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
- full stack engineeringintermediate
- cloud-native solutionsintermediate
- observability engineeringintermediate
- AIintermediate
- cloud-first engineeringintermediate
- large-scale distributed systemsintermediate
- cloud-native technologiesintermediate
- software engineeringintermediate
- technical leadershipintermediate
- collaborating with senior engineersintermediate
- designingintermediate
- developingintermediate
- deployingintermediate
- technical guidanceintermediate
- leveraging AI pipelinesintermediate
- mentoringintermediate
Required 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 (experience, 7 years)
- Strong coding skills in Go, Javascript, Java, Python (experience)
- Demonstrated experience in designing and building large scale enterprise observability solutions for data collection and storage, visualization and incident management (experience)
- Demonstrated experience in building visualization solutions and features with in-depth understanding of cloud-native visualization frameworks such as Grafana, Datadog (experience)
- 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 (experience)
- Demonstrated proficiency in AWS services such as EKS and native Kubernetes, storage such as S3, networking, database and observability / monitoring services (experience)
- Excellent verbal and written communication skills with strong problem solving skills (experience)
- Excellent interpersonal skills for collaborating across teams, stakeholders, and open source collaborators (experience)
Preferred Qualifications
- Experience in building micro-services using public cloud infrastructure (experience)
- Proven experience in delivering well-architected, reliable, highly-scalable cloud-native distributed systems for data management, observability or analytics services (experience)
- Building large-scale incident management, alert management and notification systems (experience)
- Experience using Gen AI LLMs and ML models for AI compute and model observability (experience)
- Active cloud-native open source project contributions (experience)
- Proficiency using cloud-native software development tools including coding, CI/CD and testing frameworks (experience)
Responsibilities
- 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.
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AIML - Sr. Software Engineer - AIML Observability
Apple
AIML - Sr. Software Engineer - AIML Observability
Job Description
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. 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.
Locations
- Santa Clara, California, United States 95050
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
- full stack engineeringintermediate
- cloud-native solutionsintermediate
- observability engineeringintermediate
- AIintermediate
- cloud-first engineeringintermediate
- large-scale distributed systemsintermediate
- cloud-native technologiesintermediate
- software engineeringintermediate
- technical leadershipintermediate
- collaborating with senior engineersintermediate
- designingintermediate
- developingintermediate
- deployingintermediate
- technical guidanceintermediate
- leveraging AI pipelinesintermediate
- mentoringintermediate
Required 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 (experience, 7 years)
- Strong coding skills in Go, Javascript, Java, Python (experience)
- Demonstrated experience in designing and building large scale enterprise observability solutions for data collection and storage, visualization and incident management (experience)
- Demonstrated experience in building visualization solutions and features with in-depth understanding of cloud-native visualization frameworks such as Grafana, Datadog (experience)
- 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 (experience)
- Demonstrated proficiency in AWS services such as EKS and native Kubernetes, storage such as S3, networking, database and observability / monitoring services (experience)
- Excellent verbal and written communication skills with strong problem solving skills (experience)
- Excellent interpersonal skills for collaborating across teams, stakeholders, and open source collaborators (experience)
Preferred Qualifications
- Experience in building micro-services using public cloud infrastructure (experience)
- Proven experience in delivering well-architected, reliable, highly-scalable cloud-native distributed systems for data management, observability or analytics services (experience)
- Building large-scale incident management, alert management and notification systems (experience)
- Experience using Gen AI LLMs and ML models for AI compute and model observability (experience)
- Active cloud-native open source project contributions (experience)
- Proficiency using cloud-native software development tools including coding, CI/CD and testing frameworks (experience)
Responsibilities
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Sr. Software Engineer - AIML Observability @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs