Top AWS Engineer Jobs in Seattle, WA

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

The Sr. AWS Developer implements complex solution designs using AWS architectures and leads development teams to enhance contact center solutions, primarily leveraging Amazon Connect.

Design, develop, and manage cloud applications on AWS, implement ETL workflows, and CI/CD pipelines while ensuring security and performance optimization.

Design and document requirements and business processes; develop, validate and deploy Java/J2EE applications on AWS; build and maintain test frameworks and automation; apply Agile/CD practices; create test strategy/plans, manage schedules and test environments; coordinate testing, report risks, and support global delivery with regular travel.

Design, develop and deploy Java/J2EE applications on AWS; create requirement specs, implement test automation (Selenium, JUnit, TestNG), perform UI/API testing, maintain test strategy and plans, and support Agile/CDCI processes in a retail-focused global delivery environment.

Design, build and maintain test automation frameworks and CI/CD pipelines using .NET/C#. Implement AWS infrastructure automation (CLI/CloudFormation), script with PowerShell, work with SQL/NoSQL databases, and support retail-domain applications in a global delivery environment.

Develop and automate CI/CD pipelines and automation frameworks using Java and AWS. Build and test Java/J2EE web applications, implement infrastructure automation and shell scripts, perform test automation, work with SQL/NoSQL databases, and collaborate with global teams and clients in a retail domain environment.

Develop and automate software delivery and test processes for Java-based web applications. Build/maintain automation frameworks, CI/CD pipelines, and AWS infrastructure using CLI/CloudFormation. Perform test automation, shell scripting, database work (SQL/NoSQL), and collaborate with global teams and clients in a retail domain environment.

Design, build and automate infrastructure and CI/CD for Java/J2EE applications on AWS. Create automation frameworks, implement test automation, write shell scripts, manage SQL/NoSQL databases, and support global delivery with strong communication and scheduling.

The role focuses on leading AWS engagements for AI deployments, guiding enterprise customers from ideation to production while shaping strategies and enabling partner ecosystems.

Manage and optimize cloud-based streaming platforms, ensuring high availability and performance for real-time analytics. Collaborate across teams to enhance data pipelines and integrate AI solutions.

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.

Design, build, and operate AWS-native AI/ML systems: RAG pipelines, fine-tuned LLMs, and microservices. Implement IaC (Terraform), CI/CD, policy guardrails, and production deployments integrating Bedrock/SageMaker, LangChain, and telemetry for secure, scalable enterprise use.

Support and optimize products migrated to AWS, implement cloud best practices, maintain operational coverage, enhance automation, observability, CI/CD/GitOps, and security. Collaborate with development and platform teams to scale, troubleshoot, and ensure reliable SaaS operations.

Lead and code fullstack features for the EVV team, provide technical leadership and mentoring, design and execute automated tests, monitor and troubleshoot production, contribute to product technical roadmap, and leverage AI-assisted development tools.

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

Design, develop, deploy, monitor, and support APIs and system integrations (Salesforce, REST, third-party). Work directly with clients to gather requirements, troubleshoot and optimize integrations, operate solutions in AWS, collaborate with teams, and mentor junior developers.

The AWS BI Developer role requires expertise in AWS data services, BI development, data modeling, and relational databases.

The AWS BI Developer will work on AWS data services, BI development, data modeling, and ETL/ELT tools, requiring experience in relational databases.

The AWS BI Developer will work on AWS data services, BI development, data modeling, relational database systems, and ETL/ELT tools.

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.

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 involves designing and implementing scalable backend services using Node.js and AWS, ensuring data integrity through SQL, optimizing system performance, and collaborating effectively with cross-functional teams in an agile environment.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.