Top AWS Engineer Jobs in Seattle, WA

Designs and implements enterprise AWS solutions for contact centers, primarily using Amazon Connect and Salesforce Service Cloud Voice. Responsibilities include developing integrations, configuring cloud services, advising on technical requirements, leading development teams, conducting code reviews, troubleshooting, documenting solutions, and training users. The role requires programming proficiency, AWS architecture knowledge, infrastructure automation, CI/CD experience, and the ability to lead technical delivery with minimal direction.

Designs, deploys, and supports cloud platforms across AWS and Azure, including Kubernetes clusters, CI/CD pipelines, Terraform infrastructure, containerized applications, and automated monitoring. Leads cloud migration and modernization of legacy workloads, improves reliability and cost efficiency, troubleshoots production systems, and translates client requirements into scalable solutions. Collaborates with engineers and stakeholders, contributes to technical standards and knowledge sharing, and supports secure, compliant infrastructure for regulated enterprises.

Build and operate AWS infrastructure for Windows and IIS applications using Terraform, CI/CD pipelines, and automation. Migrate on-premises workloads to AWS, troubleshoot application and infrastructure issues, implement monitoring and security hardening, automate patching and credential or certificate rotation, and support ECS containerization. Collaborate with application, development, and security teams while reviewing infrastructure code and maintaining production services. Occasional after-hours maintenance or outage support is required.

Designs, deploys, and maintains secure, scalable AWS infrastructure using Terraform and GitLab CI/CD. Provides application and infrastructure support, monitors systems, resolves incidents, manages IAM, performs upgrades and backups, and improves reliability through automation and observability. Collaborates with development, security, infrastructure, data, and analytics teams while documenting environments, supporting audits, and participating in on-call operations.

Develop and optimize Amazon Connect contact center solutions integrated with AWS and Salesforce. Responsibilities include architecting serverless infrastructure, creating Contact Flows, developing automation with CloudFormation or CDK, and implementing conversational AI using Lex, Bedrock, Nova 2 Sonic, Contact Lens, and Agentic CX Designer. The role also involves Salesforce customization, Apex and Lightning Web Component development, CI/CD, cross-functional collaboration, and occasional client-site travel.

Leads and mentors a distributed Agile software team while remaining hands-on in architecture, Java and Spring Boot development, Angular applications, REST APIs, AWS infrastructure, containerization, CI/CD, databases, observability, security, and production troubleshooting. Translates customer requirements into technical solutions, drives engineering best practices, supports capacity planning and performance feedback, and oversees scalable, resilient enterprise applications using AWS, Docker, Terraform/OpenTofu, and modern software development practices.

Designs, deploys, and maintains secure, scalable AWS infrastructure using Terraform and GitLab CI/CD. Provides application and cloud support, monitors systems, troubleshoots incidents, manages IAM, performs maintenance and backups, and improves reliability through automation and observability. Collaborates with engineering, security, infrastructure, data, and analytics teams while supporting audits, documentation, disaster recovery, and on-call operations.

Own and scale Cognitiv’s AWS infrastructure while evaluating architecture, networking, security, scalability, and service management. Lead improvements in deployments, monitoring, disaster recovery, and infrastructure-as-code practices. Support co-located Equinix datacenter deployments and hybrid cloud operations alongside a datacenter-focused SRE. Collaborate with engineering and product teams, provide multi-datacenter coverage, and help establish long-term service management best practices.

Design, deploy, secure, and maintain scalable AWS infrastructure using Terraform and GitLab CI/CD. Provide application and cloud support, monitor systems, troubleshoot incidents, manage IAM, perform maintenance and backups, improve observability and reliability, and guide cloud architecture and deployment decisions. Collaborate with engineering, security, data, and infrastructure teams while supporting audits, documentation, disaster recovery, and on-call operations.

Designs, deploys, and maintains scalable, secure AWS infrastructure for customer projects, including migrations, landing zones, containerized applications, serverless systems, and infrastructure as code. Builds CI/CD automation, monitoring, logging, disaster recovery, and security controls; optimizes cost and performance; troubleshoots Linux, Windows, Kubernetes, and AWS environments; documents solutions; and communicates with clients and cross-functional teams throughout delivery engagements.

Automates, hardens, deploys, and upgrades Windows Server infrastructure in AWS GovCloud. Builds hardened AMIs, provisions EC2 instances, automates patching and compliance, manages phased upgrades and rollback, integrates infrastructure automation with CI/CD, and documents configurations and runbooks. Requires strong PowerShell, Windows administration, AWS, infrastructure-as-code, and DevSecOps experience, plus eligibility for Public Trust clearance.

Own and scale the PostgreSQL and AWS Aurora database layer for a high-volume legal-services platform. Responsibilities include schema and migration review, query and index tuning, production issue diagnosis, lock and replication troubleshooting, database maintenance automation, backup and restore support, access control, and collaboration with infrastructure, software development, and data science teams. The role also supports reporting, billing, PII-sensitive data, and ERP-related data flows.

Owns day-to-day database operations and backup/recovery for a large multi-account AWS environment. Maintains RDS, Aurora, and self-managed databases, validates backup restoration, executes disaster-recovery runbooks, and collaborates with infrastructure, security, Kubernetes, networking, and cloud architecture teams. Supports escalations from a 24x7 monitoring team and helps advance managed services and Cloud Center of Excellence capabilities.

Leads the architecture, development, deployment, and support of scalable full-stack applications using React, TypeScript, backend services, cloud platforms, and distributed systems. Owns features end to end, drives technical design and code reviews, implements testing and observability strategies, resolves production issues, mentors engineers, and collaborates with product, architecture, design, and business stakeholders.

Designs and develops enterprise and multitenant SaaS applications using Java, Spring Boot, and AWS. Responsibilities include cloud architecture, REST APIs, databases, infrastructure as code, CI/CD, authentication, tenant provisioning, monitoring, security compliance, and performance improvements. The role collaborates with technical and business stakeholders and supports FedRAMP requirements.

Own and evolve enterprise AWS infrastructure, governance, security, identity, networking, and shared platforms. Build and operate full-stack services in TypeScript and Python, automate infrastructure and delivery, improve monitoring and reliability, manage incidents and on-call operations, and establish audit-ready controls. Partner across engineering and IT, improve production readiness, and mentor engineers while delivering secure, scalable, low-blast-radius systems.

Designs and develops APIs, system integrations, and AI-agent workflows for enterprise applications. Builds integrations with platforms such as Salesforce and REST APIs, deploys and supports solutions on AWS, and develops AI-powered automation using LLMs, tool calling, and multi-step workflows. The role includes client requirements gathering, troubleshooting, reliability optimization, cross-functional collaboration, and mentoring junior developers.

Design, deploy, and maintain scalable AWS data and document-processing pipelines and production ML platforms. Build containerized workloads, automate infrastructure with Python and infrastructure-as-code, implement CI/CD, and manage security, networking, databases, monitoring, and observability. Operate GPU and CPU workloads, integrate generative AI and ML inference, resolve production incidents, optimize cost and performance, and collaborate with application, DevOps, data, infrastructure, and client teams.

Build and maintain full-stack web applications, APIs, backend services, integrations, and event-driven data pipelines. Collaborate on architecture, product requirements, code reviews, testing, troubleshooting, and engineering standards. Contribute to scalable, secure, reliable software while mentoring engineers and supporting development-process improvements.

Leads Neo4j graph database migrations to AWS, including architecture, secure deployment, data integration, performance tuning, query optimization, testing, demonstrations, developer onboarding, UAT, and go-live support. The role requires hands-on expertise with Neo4j, Cypher, AWS infrastructure, ETL tools, graph modeling, benchmarking, and stakeholder communication.

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS best practices.

Build and scale customer-facing full-stack platforms using React, TypeScript, Go, Java, Python, Node.js, and AWS. Develop APIs, microservices, distributed systems, databases, cloud infrastructure, and automated deployments. Participate in architecture and code reviews, testing, security, observability, CI/CD, and production troubleshooting. Collaborate with product and design teams, communicate technical decisions, mentor engineers, and independently deliver complex initiatives across distributed Agile teams.

Develops, tests, documents, maintains, and enhances software solutions using established design principles and development practices. The role addresses defects, security vulnerabilities, and performance improvements; participates in requirements analysis, planning, and user story development; documents standards and changes; and collaborates with and mentors software engineers. Work involves .NET technologies, source control, software development lifecycle practices, and potentially Azure or AWS cloud development.

Develop and maintain software solutions across the full development lifecycle, including design, coding, testing, documentation, system enhancements, security remediation, performance improvements, and user story analysis. Collaborate with development teams to solve business problems using .NET technologies and software engineering best practices. Participate in Agile or Lean processes, document changes, and maintain current knowledge of tools, technologies, and industry standards.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.