1,902 jobs for "Automation Engineer I"

Software Development Engineer - MultiCloud

At Apple - Austin

Posted on Oct 11

View job Apply on company site

SAP Basis Infra Engineer

At Apple

Posted on Oct 10

View job Apply on company site

Senior Engineer

At Deutsche Bank - Cary

Posted on Sep 29

View job Apply on company site

Lead Software Engineer

At JPMorgan Chase - San Francisco · Seattle

Posted on Sep 25

View job Apply on company site

Staff Software Engineer - Networking

At General Motors - Austin · Sunnyvale

Posted on Sep 23

View job Apply on company site

Lead Site Reliability Engineer

At JPMorgan Chase - Columbus

Posted on Sep 19

View job Apply on company site

Lead Software Engineer - AI/Supply Chain Full Stack

At JPMorgan Chase - Houston

Posted on Sep 16

View job Apply on company site

Experienced DevOps Engineer (Cortex)

At Palo Alto Networks

Posted on Sep 9

View job Apply on company site

Principal Software Engineer- Core AI Platform

At JPMorgan Chase - Seattle

Posted on Sep 1

View job Apply on company site

Senior Lead Software Engineer- Inference Platform Engineer

At JPMorgan Chase - Seattle

Posted on Aug 31

View job Apply on company site

Cloud Engineer

At ASML - Wilton

Posted on Aug 25

View job Apply on company site

Lead Software Engineer - Python/Automation

At JPMorgan Chase - Plano · Jersey City

Posted on Aug 14

View job Apply on company site

Information Security Engineer III- Eng (DigiCert, PKI & Secrets Management)

At UKG - Noida

Posted on Oct 28

View job Apply on company site

DevOps Engineer

At Broadridge - Toronto

Posted on Oct 6

View job Apply on company site

Senior DevOps Engineer

At CarGurus - Boston

Posted on Sep 29

View job Apply on company site

Systems Reliability Engineer - Core

At Cloudflare - Hybrid

Posted on Oct 28

View job Apply on company site

Senior Engineer, Platform Security and Reliability

At Kairos Power - Remote / Flexible

Posted on Oct 13

View job Apply on company site

Manager - R&D Embedded System

At Schneider Electric - Mumbai

Posted on Nov 2

View job Apply on company site

Manager - R&D Embedded System

At Schneider Electric - Mumbai

Posted on Nov 2

View job Apply on company site

PKI Administrator

At Charles Schwab - Southlake

Posted on Nov 1

View job Apply on company site

Apple

Software Development Engineer - MultiCloud

Austin, TXPosted 28 days ago

Apply on company site View full job

We're looking for a motivated Software Engineer to join our team and help build and operate reliable, secure, and scalable cloud platforms and services. In this role, you'll develop software and automation that support production systems, Kubernetes platforms, cloud infrastructure, observability, analytics, and emerging AI/ML workloads.

You'll combine software engineering skills with reliability engineering principles to improve how our platforms are built, deployed, monitored, and operated. You'll work alongside experienced engineers, architects, SREs, and AI/ML teams to solve technical challenges and continuously improve our systems.

The ideal candidate has a strong software engineering foundation, enjoys solving problems through code and automation, and is interested in cloud technologies, Kubernetes, reliability engineering, analytics, and AI.

Description

Software Development: Design, develop, test, and maintain software, services, APIs, tools, and automation using languages such as Python and Go.

Cloud & Platform Engineering: Build and improve cloud-native services and platform capabilities across production and non-production environments.

Kubernetes: Deploy, operate, and troubleshoot applications and services running on Kubernetes.

Develop automation that simplifies deployment and platform operations.

Reliability: Apply reliability engineering practices to improve system availability, performance, scalability, and operational efficiency.

Automation: Identify repetitive operational activities and develop software and automation to reduce manual effort and operational toil.

Observability: Use logs, metrics, traces, dashboards, and alerts to understand system behavior, troubleshoot issues, and identify opportunities for improvement.

Analytics: Analyze operational and application data to identify trends, anomalies, recurring issues, and performance bottlenecks. Develop dashboards and reporting that provide actionable insights.

AI/ML Infrastructure: Support infrastructure and platform capabilities for AI/ML training, LLM inference, and GPU-based workloads. Develop automation to simplify deployment and operation of these environments.

AI-Assisted Engineering: Explore and apply LLMs and AI technologies to improve software development, troubleshooting, analytics, automation, and operational workflows.

Scale & Resilience: Participate in capacity planning, performance testing, scale testing, and disaster recovery exercises.

Continuous Improvement: Identify opportunities to improve platform reliability, developer experience, automation, and operational processes.

Documentation: Create and maintain technical documentation, operational procedures, troubleshooting guides, and runbooks.

Collaboration: Work closely with software engineering, platform, SRE, QA, AI/ML, security, architecture, and program management teams.

Preferred Qualifications

AI/ML: Familiarity with AI/ML concepts, LLMs, model inference, or GPU workloads is a plus. Prior AI/ML infrastructure experience is beneficial but not required.

Problem Solving: Strong analytical and troubleshooting skills with an interest in solving problems through software and automation.

Collaboration: Strong communication skills and the ability to work effectively within cross-functional engineering teams.

Minimum Qualifications

Software Engineering: Solid understanding of software engineering fundamentals and experience developing and maintaining production software, services, tools, or automation.

Programming: Proficiency in Python and/or Go (Golang), with the ability to write clean, maintainable, and testable code.

Kubernetes: Hands-on experience with Kubernetes and containers, including deploying and troubleshooting applications. Familiarity with Helm, Kustomize, or similar tools is preferred.

Cloud: Experience with at least one major cloud platform such as AWS, Google Cloud, or Azure.

Infrastructure as Code: Familiarity with Terraform, Ansible, or similar infrastructure automation technologies.

Reliability Engineering: Understanding of reliability concepts such as monitoring, alerting, SLIs/SLOs, incident management, capacity planning, and automation.

Observability: Experience with or exposure to technologies such as Prometheus, Grafana, Splunk, OpenTelemetry, or similar observability platforms.

Analytics: Ability to analyze system and application data to identify trends and troubleshoot issues. Familiarity with SQL, Python-based data analysis, dashboards, or reporting tools is a plus.

Distributed Systems: Working knowledge of distributed system concepts including availability, scalability, networking, fault tolerance, and performance.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

View company profile