Cloud Ops/SRE, Applied Machine Learning
Sunnyvale, California, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: May 6, 2024Weekly Hours: 40
Role Number:200545286
Apple’s Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects, we are opening up the boundaries. Working with multiple lines of business we manage many streams of Apple-scale data. We bring it all together and spark business value. We do all this with an exceptional group of software engineers, data scientists, dev-ops engineers and managers. We are looking for a hardworking and dedicated engineers to join our team to bring passion for infrastructure and distributed systems, to build world-class platforms/products at a very large scale across cloud environments.
Key Qualifications
- 5+ years of experience in SRE/Devops
- Extensive experience in managing the applications on AWS/GCP & Kubernetes
- Strong Experience in Infrastructure templating tools like CloudFormation, Terraform
- Practical understanding of Networking concepts on Cloud, like VPCs, DNS, Security Groups, Kubernetes network model
- Experience in building CI/CD pipelines for large scale application on AWS/GCP & Kubernetes
- Strong proficiency with Helm or Kustomize for managing Kubernetes applications and configurations.
- Experience in GitOps based deployment tools like Spinnaker/Flux/ArgoCD
- Experience in enabling AutoScaling for both VM & Containerized workloads
- Deep understanding of Object Oriented Programming skills like Java.
- Experience in Performance tuning JVMs & Operating Systems like Linux
- Strong programming skills in Unix & Python
- Good understanding of Data Security on Cloud based applications
- Excellent analytical & problem solving skills
Description
Join Apple's Applied Machine Learning Team, as a Senior Software Engineer, to build & support innovative software applications. Candidates should have strong background in setting up and supporting the infrastructure for large scale big data applications in public cloud like AWS or GCP. THE MAIN RESPONSIBILITIES FOR THIS POSITION INCLUDE: Build & Support CI/CD tools to port & manage applications on AWS/GCP & Kubernetes Ability to understand the application requirements (Performance, Security, Scalability etc.) and assess the right services/topology on AWS/GCP & Kubernetes Deploy & Support applications onto Kubernetes based environments - On-prim K8s/AWS EKS/GCP GKE. Build automation to enable self-healing systems Build tools to monitor high performance & alert the low latency applications on AWS/GCP Ability to troubleshoot application specific, core network, system & performance issues. Involvement in challenging and fast paced projects supporting Apple's business by delivering innovative solutions. Monitor production, staging, test and development environments for a myriad of applications in an agile and dynamic organization. The candidate is expected to be self-motivated, proactive, and a solution-oriented individual.
Education & Experience
BS in computer science with 4+ years or MS plus 2+ years experience or related experience.
Additional Requirements
- Exposure to Large Language Models, Vector Databases, RAG, GenAI platforms like AWS Bedrock or GCP Vertex AI are preferred.
Pay & Benefits
- 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 $138,900.00 and $256,500.00, 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. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
Tags: Agile AWS Big Data CI/CD CloudFormation Computer Science DevOps Distributed Systems GCP Generative AI Helm Java Kubernetes Linux LLMs Machine Learning Open Source Pipelines Python Security Spark Terraform Vertex AI
Perks/benefits: Career development Health care Relocation support
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Data Engineering Manager jobs
- Open Senior Data Architect jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs