Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have complete trust in the data, technology, and tools to make data-driven business decisions.
Locations (2)
Bellevue, Washington, United States
Irving, Texas, United States
Compensation
USA, TX, Irving - 154,600.00 - 209,100.00 USD annually
USA, WA, Bellevue - 154,600.00 - 209,100.00 USD annually
Responsibilities
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL and AWS big data technologies.
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies of the team.
Designing and implementing complex pipelines and other Data Engineering solutions.
Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data.
Create extensible designs and easy to maintain solutions with the long term vision in mind
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Responsible for testing tyres in an indoor testing environment, providing reliable, repeatable & reproducible test results, performing statistical analysis, automating test processes, and ensuring safety and quality standards.
Responsibilities
Test tyres in an indoor test environment
Inspect incoming, in-process, and finished tyres and accessories
Interface with internal stakeholders and coordinate with contract manpower to plan, schedule and organize tests
Maintain and calibrate equipment to ensure compliance with standards
Improve customer satisfaction through on-time delivery of reliable test results
Responsible for developing and maintaining MLOps infrastructure, CI/CD pipelines, and AI/ML platform operations to support data and AI lifecycle management.
Locations (2)
Bangalore, Karnataka, India
Chennai, Karnataka, India
Responsibilities
Develop and improve platform features that support ML and AI lifecycle management, including LLM operations
Build and maintain CI/CD pipelines for ML, AI, and LLM workflows, training, deployment, and monitoring
Support reliable, scalable, and secure production environments for ML, AI, and GenAI workloads
Automate infrastructure and environment provisioning using infrastructure-as-code
Operate and monitor ML, AI, and LLM services and related platform components
Requirements
Master's / Bachelor's in any engineering / Software / Information Technology / Similar engineering specialization
Nice to have: workflow orchestration tools such as Kestra, Airflow
Manager, Production Network Performance, Amazon Leo
Lead a team that monitors Amazon Leo’s live satellite network performance, compares real‑time data with simulations, and drives performance improvements for customers worldwide.
Compensation
USA, WA, Redmond - 175,100.00 - 236,900.00 USD annually
Responsibilities
Hire and grow a multidisciplinary engineering team
Prioritize work with engineering and operations partners
Integrate simulations and models into a performance prediction framework
Own the automated pipeline that brings live system and network data, simulation predictions and test measurements together
Co‑develop automation interfaces with tool developers
Requirements
Bachelor's degree
Nice to have: Master’s or PhD in electrical engineering, statistics or related field
Build and run automated data pipelines to monitor and improve Amazon Leo satellite network performance.
Compensation
USA, WA, Redmond - 136,000.00 - 184,000.00 USD annually
Responsibilities
Build, maintain and use the team's automated pipeline that brings live system and network data, simulation predictions and test measurements together
Design how the data is stored, queried and kept at scale, so that the pipeline runs reliably and unattended across the whole network
Write the code that joins sources logged at different rates and times, and keep each record's context with it so that later analysis can explain it
Integrate simulations and models developed by other teams into the team's framework, and co-develop each tool's automation interface with the team that owns it
Compare live performance with simulation predictions within tolerances that reflect what each prediction means, and report when the model, not the network, looks wrong
Requirements
Bachelor's degree in Electrical Engineering
Bachelor's degree in Computer Engineering
Bachelor's degree in Systems Engineering
Nice to have: Master's degree in electrical engineering
Visionary Software Development Engineer in Test (SDET)/QE Engineering Manager to own and test end-to-end application workflows using AI, focusing on implementing and maintaining QE frameworks, instrumentation, and workflows.
Responsibilities
Build and lead a team of quality engineers
Build, develop, innovate, and retain a hard-working team of quality engineers
Act as the quality DRI on product features
Supervise and communicate release readiness
Identify gaps and assess new ways to improve automation solutions
Join a dynamic team responsible for qualifying Bluetooth and wireless connectivity on the latest company products. You will test the complete system, from software to firmware to radio, dig deep to understand and validate issues, and write the code that drives our testing.
Responsibilities
Test Bluetooth (Classic and LE) features and connectivity end to end, from the application layer through the firmware, on real devices and in real-world scenarios
Run manual and automated tests, analyze the results, and report quality status and risks
Investigate failures and performance degradation using logs, protocol traces, and sniffer captures
Raise well-isolated, validated bugs with clear reproduction steps and supporting data
Read and trace code in the test environment, host software, and firmware to isolate issues, and support developers with the information they need to fix them
Requirements
At least 2 years of experience in software development, system testing, or firmware testing
Nice to have: Bluetooth protocols and profiles (HCI, A2DP, HFP, GATT, etc.)
Lead research on next-generation machine learning techniques, collaborating with a multidisciplinary team to publish findings and align work with Apple’s core values.
Responsibilities
Investigate recurrent and generative models for machine learning
Design and conduct experiments to advance state-of-the-art techniques
Collaborate with senior researchers and engineers on research agendas
Publish research in top machine learning venues
Ensure research aligns with Apple’s privacy and quality standards
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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