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Amazon Operations Jobs in Surrey, BC (NOW HIRING)

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Amazon Operations information

What is Amazon Operations?

Amazon Operations refer to the various processes and teams responsible for ensuring that products are efficiently stored, picked, packed, and delivered to customers. This includes roles in fulfillment centers, sortation centers, delivery stations, and logistics management. The operations team plays a crucial role in maintaining Amazon’s fast shipping promises and high customer satisfaction. Employees may work in areas such as inventory management, supply chain optimization, quality assurance, or transportation, depending on their specific position within Amazon Operations.

What are the key skills and qualifications needed to thrive in Amazon Operations?

To thrive in Amazon Operations, you need strong organizational skills, problem-solving abilities, and a background in supply chain management or logistics, often supported by a relevant degree. Familiarity with warehouse management systems (WMS), data analytics tools, and Lean or Six Sigma certifications is highly valued. Leadership, effective communication, and adaptability are crucial soft skills for managing teams and responding to rapid operational changes. These skills ensure efficient workflow, high productivity, and the ability to meet Amazon's demanding performance standards.

What are some typical challenges faced by professionals in Amazon Operations, and how can I prepare for them?

Professionals in Amazon Operations often navigate fast-paced environments where priorities can shift quickly, especially during peak seasons. Common challenges include managing large teams, meeting demanding performance metrics, and ensuring smooth coordination across multiple departments such as logistics, inventory, and customer service. To prepare, develop strong problem-solving skills, the ability to adapt to change, and effective communication to collaborate with cross-functional teams. Gaining experience with process optimization and data-driven decision-making can also be beneficial.

What is the difference between Amazon Operations vs Amazon Warehouse Associate?

AspectAmazon OperationsAmazon Warehouse Associate
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in logistics or safetyHigh school diploma or equivalent
Work EnvironmentOffice settings, management, logistics planning, and coordinationWarehouse floors, handling packages, packing, and shipping
Employer & Industry UsageCorporate roles within Amazon focusing on operations management and strategyFrontline roles in Amazon fulfillment centers

Amazon Operations roles typically involve managing logistics, planning, and coordinating warehouse activities, often requiring some managerial or analytical skills. In contrast, Amazon Warehouse Associates focus on physical tasks like packing, sorting, and shipping packages on the warehouse floor. Both roles are essential to Amazon's supply chain but differ in responsibilities, work environment, and skill requirements.

What are popular job titles related to Amazon Operations jobs in Surrey, BC?

For Amazon Operations jobs in Surrey, BC, the most frequently searched job titles are:

What job categories do people searching Amazon Operations jobs in Surrey, BC look for?

The top searched job categories for Amazon Operations jobs in Surrey, BC are:

What cities near Surrey, BC are hiring for Amazon Operations jobs?

Cities near Surrey, BC with the most Amazon Operations job openings:

Infographic showing various Amazon Operations job openings in Surrey, BC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

SDM, ML Data Infra, Amazon Traffic Engineering

Amazon

Vancouver, BC • On-site

Full-time

Posted 12 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We are seeking an experienced Software Development Manager to lead a team of Software Development Engineers (SDEs) and Data Engineers (DEs) building the Core Data Infrastructure that underpins our ML and Science initiatives for Bot Management. You will own the end-to-end data platform-from source ingestion through transformation, feature engineering, and serving-ensuring Science and ML Platform teams have reliable, scalable, and timely access to the data they need for training, evaluation, and inference.
This is a high-impact leadership role. Our Science teams are building increasingly sophisticated models-and each requires different data formats, latencies, and serving patterns

Your team will be the backbone that makes this possible: ingesting billions of events from diverse source systems, building production-grade pipelines that transform raw signals into ML-ready feature groups, and operating the Feature Store that serves these features consistently across all model types. You will partner closely with Science leadership to translate model requirements into data infrastructure investments, and with ML Platform leadership to ensure seamless integration between your data layer and their training/inference systems. This role demands a leader who can navigate ambiguity across organizational boundaries, drive technical alignment between data engineering, software engineering and science teams, and build systems that scale with the rapid pace of model innovation.
Key job responsibilities
Data Infrastructure & Feature Engineering - Own the Feature Store, feature pipelines, and data serving layer

Build versioned feature groups across multiple storage backends (S3 for tabular, OpenSearch for embeddings) and production pipelines that transform disparate datasets into ML-ready features for Science teams.
Streaming & Real-Time Systems - Design and operate Apache Flink applications and live stream data processing for near real-time feature computation. Build event-driven architectures leveraging Kinesis and Kafka to support low-latency bot detection signals.
Data Pipelines & Ingestion - Own batch and near real-time pipelines spanning Trails (raw + aggregated) and Non-Trails sources (AIT, Clickstream, Customer Segmentations, OPS). Evolve pipelines from Cradle/POC to production-grade using AWS Glue

Implement data drift detection and governance frameworks.
Science & ML Platform Partnership - Serve as the primary data infrastructure partner to Applied Scientists and ML Platform. Define data contracts and SLAs, participate in model design reviews, and ensure the Feature Store integrates seamlessly with training and inference systems.
People Leadership - Recruit, develop, and retain a high-performing team of SDEs and DEs. Set goals, manage roadmaps, and foster a culture of operational excellence.
About the team
Traffic Engineering's Bot Management organization protects Amazon's ecosystem by detecting and mitigating automated threats at scale

Our Core ML Data Infrastructure team is responsible for building and operating the foundational data infrastructure that powers bot detection, AI agent identification, and content exfiltration defense. We are building a unified, model-agnostic, production-grade ML platform that brings together training, evaluation, and inference pipelines into a cohesive system serving multiple model types across the organization.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US