340 jobs for "Enterprise Data Architect"

Software Engineer - AI and Data Platforms

At Apple - Hyderabad

Posted on Oct 16

View job Apply on company site

Software Engineer, Infrastructure Services (Data Plane)

At Apple - San Francisco Bay Area

Posted on Oct 14

View job Apply on company site

Data Engineer 4 (Manager, IC)

At Capital One - New York · Richmond

Posted on Oct 10

View job Apply on company site

Principal Software Engineer - Enterprise Integration & Modernization

At DTCC - Tampa

Posted on Nov 6

View job Apply on company site

Software Developer / Web Applications Developer

At Leidos - Suitland

Posted on Nov 7

View job Apply on company site

Lead Systems Engineer

At Leidos - Huntsville

Posted on Nov 7

View job Apply on company site

IT- Sr Systems Engineer (Boomi)

At Cadence Design Systems - Noida

Posted on Nov 6

View job Apply on company site

Lead, Information Security - Endpoint, Mobile, Cloud

At Prudential Financial - Newark

Posted on Nov 6

View job Apply on company site

Sr Electrical Engineer

At Leidos - Huntsville

Posted on Nov 5

View job Apply on company site

Sr Surety Engineer

At Leidos - Albuquerque

Posted on Nov 5

View job Apply on company site

Sr Electrical Engineer

At Leidos - Albuquerque

Posted on Nov 5

View job Apply on company site

Senior DevOps Engineer

At Leidos - Bethesda

Posted on Nov 5

View job Apply on company site

Sr Surety Engineer

At Leidos - Huntsville

Posted on Nov 5

View job Apply on company site

Software Engineer

At Nike - Beaverton

Posted on Nov 3

View job Apply on company site

Legal Innovation Specialist

At Adyen - Amsterdam

Posted on Nov 3

View job Apply on company site

Staff Cloud Engineer

At Capital One - McLean · Plano

Posted on Nov 1

View job Apply on company site

Associate, Application Engineer III

At BlackRock - San Francisco

Posted on Nov 1

View job Apply on company site

High Speed Systems Engineer

At Leidos - San Diego

Posted on Oct 31

View job Apply on company site

High Speed Systems Engineer

At Leidos - King Of Prussia

Posted on Oct 31

View job Apply on company site

High Speed Systems Engineer

At Leidos - Beavercreek

Posted on Oct 31

View job Apply on company site

Apple

Software Engineer - AI and Data Platforms

Hyderabad, IndiaPosted 23 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

The Applied Machine Learning team within the AI and Data Platform organization is at the forefront of driving digital transformation through machine learning across Apple's enterprise ecosystem. We build and operate large-scale ML, GenAI, inference, and data platforms that power business-critical workflows across Apple.

Our systems sit on the critical path of real-time decisioning-every transaction across Apple Online Store, Retail, Media, and Support systems depends on our platform's ability to make fast, accurate fraud decisions. This requires solving complex challenges in distributed systems, extreme scale (up to 100x traffic bursts), and low-latency processingusing a diverse set of open-source and cutting-edge technologies.

This role is part of the Reliability & Platform Engineering (SRE) team, but it is not a traditional or legacy operations role. Instead of reactive support, the focus is on building the platform itself-designing scalable systems, creating intelligent automation, and developing tools that redefine how reliability is engineered.

You will work on developer-first platform capabilities, apply AI/GenAI-driven approaches to observability and operations, and take ownership of systems end-to-end. This role combines software engineering, distributed systems, and platform architecture, with a strong emphasis on building solutions-not just operating them.

Description
We are looking for engineers with strong coding skills and solid computer science fundamentals who are passionate about building resilient, high-performance distributed systems and platform infrastructure.

As a Software Engineer in AI & Data Platform Reliability Engineering, you will work on systems powering GenAI, ML inference, and real-time fraud decisioning at scale. This is a hands-on engineering role focused on system design, platform development, and intelligent automation.
You will:

Design and build developer-first platform components that enable seamless onboarding and execution of ML workflows

Develop automation, internal tools, and AI-driven solutions to enhance observability, reliability, and operational efficiency

Build and operate multi-tenant, distributed systems handling high-throughput and highly concurrent workloads

Work on systems that scale to extreme traffic spikes (up to 100x BAU) with strict latency and availability requirements

Collaborate with cross-functional teams to deliver impactful platform capabilities and customer-facing features

Lead projects end-to-end-from architecture and design to deployment and production excellence

Continuously improve system performance, scalability, and resilience

Proactively identify, diagnose, and solve complex system and production challenges

We are looking for engineers who enjoy going deep into systems, understanding how they behave at scale, and building smart, scalable solutions on cloud-native infrastructure (Kubernetes, hybrid cloud).","responsibilities":"Design, develop, and own core platform components for fraud decisioning and ML inference systems (Athena platform)

Build automation frameworks and developer tooling to improve platform usability and operational efficiency

Ability to identify recurring operational challenges (toil) and design thoughtful, scalable solutions to address them

Architect and implement advanced observability solutions, including AI/GenAI-driven insights and automation

Ensure high availability, resilience, and scalability of critical distributed systems
Drive performance optimization, reliability engineering, and capacity planning

Collaborate closely with ML engineers and application teams to enable seamless workflow onboarding

Contribute to infrastructure as code, CI/CD pipelines, and platform standardization

Take ownership across the full system lifecycle-design, implementation, deployment, and production operations

Continuously improve the platform by identifying opportunities for automation, abstraction, and simplification

Preferred Qualifications
Excellent analytical & problem solving skills.

Exposure to Machine Learning and GenAI technologies.

Exposure to datasets management and cost optimisation in cloud.

Exposure to Ray and Ray Serve, for building scalable, distributed, and model-serving platform components.

Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, or equivalent technical field

3+ years of strong programming experience in Python or similar languages

Solid foundation in data structures, algorithms, operating systems, and distributed systems fundamentals

Experience with cloud-native technologies (Kubernetes, containers, AWS or similar platforms)

Familiarity with infrastructure as code and automation tools (e.g., Terraform, Ansible)

Ability to read, understand, and work effectively with large open-source codebases

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: Manufacturing

View company profile