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AIML - Sr. Software Engineer - AIML Observability

Apple

AIML - Sr. Software Engineer - AIML Observability

Apple

Santa Clara, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Flexible PTO policy

Parental leave program

Annual team offsites

Required Skills

TensorFlow

Apache Spark

Python

About the Role

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 Open Telemetry, 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

Equal Opportunity

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. Learn more about your EEO rights as an applicant.

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist ICT2

0 reports

$121,979

total / year

Base

-

Stock

-

Bonus

-

$103,682

$140,276

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit