Top AWS Engineer Jobs in Seattle, WA

As a Manager, lead teams to design and develop large-scale distributed systems using programming languages like Java and Python. Mentor junior staff, ensure project success, and maintain high standards while fostering innovation and leveraging technology.

Develop and implement architecture patterns, automate deployments, manage SaaS platforms, and ensure compliance in a highly available cloud environment.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Design and manage cloud applications on AWS, utilizing services for ETL support, Infrastructure as Code, and ensuring application performance and security.

The AWS SQL Developer will focus on AWS Cloud Migration, setting up ETL pipelines, and managing both relational and NoSQL databases. Responsibilities include database development, collaborating with business owners on technical requirements, and ensuring quality programming practices.

The AWS SQL Developer will work on AWS cloud migration projects, set up ETL pipelines, and develop database components, collaborating with internal teams for technical solutions.

The role focuses on building a Data Management Cloud Platform using Java and AWS technologies. Candidates are expected to have extensive experience in Big Data, automation, and CI/CD pipelines, along with knowledge of streaming architecture and tools like Kafka and Spark.

Design, deploy, and manage AWS infrastructure for a new streaming platform while enforcing security best practices and implementing automation and observability solutions.

As a Full Stack Software Engineer, you will design and develop EHR integrations and clinical workflows using TypeScript, React, and AWS. Responsibilities include building backend services, collaborating with DevOps, and integrating third-party services to enhance patient engagement.

As an AWS Data Engineer, you will develop data pipelines, create data models, troubleshoot issues, and collaborate with teams while utilizing tools like PySpark and SQL.

The AWS DevOps Engineer will automate infrastructure, manage application configurations, enhance operational infrastructures, and support cloud migrations for various projects.

Lead and oversee full stack applications for Yahoo Search, ensuring architectural integrity and code quality while mentoring engineers and collaborating with cross-functional teams.

Design and implement AWS cloud solutions, build CI/CD pipelines, use Infrastructure as Code (Terraform/CloudFormation), modernize/refactor applications for cloud, optimize AWS environments for cost, reliability, and scalability, and collaborate with clients and cross-functional teams.

Lead Software Engineer responsible for system development, architecture guidance, and mentoring software engineers, with a focus on AWS cloud applications and Agile methodologies.

The Cloud Engineer will design, build, and operate cloud-native solutions on AWS, manage CI/CD pipelines, and ensure security best practices.

The AWS DevOps Data Engineer will build AWS infrastructure, create implementations, manage GitLab and transition to GitHub Actions, develop ETL scripts, and improve CI/CD pipelines in a collaborative environment.

Migrate and optimize data workloads, develop ETL/ELT pipelines, build datasets for analytics, and support BI tools while ensuring data quality and collaborating with teams.

Build production-grade AI-powered data tooling: extract data from Snowflake, generate and store embeddings, enable semantic search, design enrichment pipelines using LLM APIs, optimize AWS infrastructure, and create reusable services and SDKs for scalable, observable data and AI workflows.

As an AWS Cloud Engineer, you will design and manage AWS cloud infrastructure, ensuring scalability, security, and efficient deployments while collaborating with development teams.

Lead design and implementation of scalable .NET Core + Angular applications. Communicate with stakeholders, estimate work, drive agile delivery, ensure code quality, mentor engineers, and collaborate across product, QA, and design to deliver client-facing solutions.

The Principal SaaS Operations Engineer will design and implement cloud identity platforms, enhance automation frameworks, and provide application support while collaborating with various teams.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

The Senior DevOps Engineer (AWS Bedrock AgentCore) will implement cloud infrastructure, automation, and DevOps best practices, while collaborating with engineering teams to enhance modern DevOps workflows, primarily focusing on AWS services and infrastructure management.

As an AI/ML Data Engineer, you will design and build data and ML infrastructure to create personalized student experiences, working on ETL processes, feature stores, and collaborating with product and data science teams.

As an AWS Data Engineer, collaborate with teams to build data products, write efficient PySpark and SQL queries, and manage project deliveries.