As a Senior Software Engineer on the Services Data Science & Analytics Platform Engineering team, you will design, build, and operate the backend services that form the foundation of DS&A's data platform.
Locations (5)
Austin, Texas, United States
Culver City, California, United States
Cupertino, California, United States
New York City, New York, United States
Seattle, Washington, United States
Responsibilities
Design, build, and operate the backend services that form the foundation of DS&A's data platform
Build high-stakes infrastructure work for downstream consumers
Think deeply about distributed systems, obsess over reliability and performance
Build platform primitives that other engineers love to build on
Experienced Node.js developer to build and maintain fast, reliable backend services and APIs.
Compensation
Base Compensation Range: $100,000- $130,000. The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Responsibilities
Build and maintain REST APIs and backend services using Node.js
Design database structures and write efficient queries
Engineering Manager – Data Management responsible for leading teams delivering platform changes, upgrades, and continuous improvements across enterprise data management products and customer environments.
Responsibilities
Own end-to-end delivery of data management changes, upgrades, and major releases across environments
Ensure all changes follow approved change management, validation, and rollback frameworks
Accountable for release readiness, production stability, and post-release outcomes
Provide technical leadership across data ingestion, transformation, validation, reconciliation, and storage layers
Guide architectural decisions to balance scalability, performance, and operational stability
As a Senior AI Engineer on the Microsoft Office AI team, you will bring AI-native work experiences across Copilot in Office and the Copilot SuperApp, turning insights into production-grade domain agents.
Locations (3)
Redmond, Washington, United States
San Francisco, California, United States
New York, New York, United States
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Architect, prototype, and lead the iteration on AI agent experiences that reimagine domain-specific workflows across Copilot in Office and Copilot Cowork
Drive the delivery of features by operating at the intersection of SWE, applied science, product, and domain expertise
Designing and building automation platforms to validate data center rack infrastructure at scale, including workflow orchestration systems, agent-based automation, and developer tooling.
Compensation
The salary range for this position is $157,250-$203,500.
Responsibilities
Design and develop workflow orchestration platforms using technologies such as Temporal, FastAPI, and React to automate multi-phase hardware validation across servers, switches, PDUs, and accelerators
Build AI-agent-driven development tooling and automation -- leveraging LLMs, retrieval-augmented generation (RAG), and multi-agent architectures to accelerate test development, diagnostics, and root cause analysis
Develop and maintain containerized test execution pipelines that run on Kubernetes (RKE2) and HPC schedulers (Slurm) in air-gapped, on-premise environments
Integrate with hardware management interfaces (Redfish/IPMI, gNMI, SNMP) to automate device discovery, firmware updates, BIOS configuration, and health monitoring
Collaborate with field deployment teams to ensure software is reliable, operator-friendly, and functions without internet connectivity at customer sites
Architect and lead the technical strategy for Apple’s People Systems platform, shaping configuration-driven, scalable, and secure systems that support recruiting, onboarding, core HR, payroll, compensation, and benefits.
Responsibilities
Design and architect large-scale, configuration-driven platforms for People Systems
Define data models, rules, workflows, permissions, screens and reports
Ensure system scalability, security, and resilience
Collaborate with product managers and cross-functional engineering teams
Translate business requirements into technical designs
Requirements
BS or MS in Computer Science, Software Engineering or related field
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