Top Remote AWS Jobs

Develops secure, scalable data pipelines and analytics solutions using AWS, PySpark, Python, ETL tools, and modern data lakes. Responsibilities include data extraction and transformation, quality monitoring, automation, troubleshooting, system design, code review, operational stability, and collaboration with technical and business stakeholders. The role also supports continuous delivery, application resiliency, security, and data availability across financial services initiatives.

Leads AWS cloud production management and site reliability engineering across business-critical services. Defines SLI/SLO practices, error budgets, observability, capacity planning, resiliency, infrastructure automation, and cost optimization. Drives major incident response, root-cause analysis, production readiness, disaster recovery, and durable remediation across engineering teams. Establishes responsible AI-assisted development practices and communicates complex technical strategies to leadership in a regulated environment.

Build secure, production-ready agentic AI applications using AWS and Amazon Bedrock. Develop AI agents, RAG systems, APIs, automations, and enterprise integrations with databases, Jira, Workfront, Oracle, and internal tools. Implement security, access controls, monitoring, testing, governance, and cloud deployment safeguards. Produce maintainable code, document architectures and deployments, evaluate prototypes, and collaborate with AI, security, DevOps, data, and business teams.

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.

Leads software engineering within an agile team, providing technical guidance and developing, reviewing, debugging, and operationalizing secure production code. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs for security and performance, improves SDLC automation, influences product and application design, and serves as a firm-wide technical subject matter expert. Requires cloud-native experience, advanced programming skills, system design expertise, and independent problem-solving ability.

Designs, develops, tunes, and maintains scalable AWS cloud infrastructure and containerized application deployments. Responsibilities include managing EKS, ECS, networking, storage, CI/CD pipelines, security boundaries, monitoring, alerting, and cloud migrations. The role uses Docker, Kubernetes, Python, Bash, Datadog, and AWS services while documenting solutions under the AWS Well-Architected Framework. It also supports compliance, technical documentation, and infrastructure automation, with preferred experience in API gateways, SFTP, web servers, and Atlassian tools.

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. Supports applications, monitoring, incident resolution, IAM, backups, upgrades, observability, disaster recovery, and audit activities. Collaborates with engineering, security, infrastructure, data, and analytics teams to improve reliability and automation. Participates in on-call operations and provides technical guidance on cloud architecture, deployment strategies, and AWS best practices.

Leads AWS cloud production management and Site Reliability Engineering practices for business-critical banking services. Defines SLOs, SLIs, error budgets, observability, capacity planning, resiliency, and disaster recovery strategies. Directs major incident response, root-cause analysis, and corrective actions; advances infrastructure automation, cloud cost optimization, and multi-region architecture. Establishes production readiness and operational standards while guiding responsible AI-assisted engineering adoption and communicating technical strategy to leadership.

Lead cloud and SRE engineering practices for business-critical AWS production services. Responsibilities include production readiness, incident response, observability, SLI/SLO and error-budget management, resiliency and disaster recovery, infrastructure automation, cloud cost optimization, architecture strategy, and responsible adoption of AI-assisted engineering tools. The role also drives root-cause analysis, operational risk reduction, service health measurement, and technical standards across multiple engineering teams.

Leads AWS cloud architecture and site reliability engineering for business-critical production services. Responsibilities include production readiness, incident response, observability, SLI/SLO and error-budget management, capacity planning, resiliency, disaster recovery, infrastructure automation, cloud cost optimization, and major incident remediation. The role also establishes operational standards, advances responsible AI-assisted engineering practices, and communicates complex technical strategies to leadership in a regulated financial-services environment.

Build and operate AI products on AWS, including LLM pipelines, agentic services, MCP interfaces, evaluation and observability systems, and serverless infrastructure. Develop Amazon Bedrock and Amazon Connect integrations, secure APIs, event-driven services, and customer-deployable infrastructure using AWS CDK. Lead security remediation, code reviews, mentoring, and technical ownership of product initiatives.

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.

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.

Build and deploy production GenAI and LLM systems for financial services and healthcare clients using Claude and AWS. Embed with customers to understand business functions, design solutions, create evaluation suites, and own delivery from strategy through production. Contribute to AI delivery frameworks, blueprints, and enterprise AI adoption while engaging senior stakeholders in pre-sales and technical scoping. The role requires hands-on software engineering, cloud-native delivery, autonomy, and comfort working in ambiguous environments.

Performs cloud security engineering across AWS and GCP, including system hardening, patching, vulnerability remediation, compliance scanning, security tool management, incident response, and cloud operations. Troubleshoots Linux, Windows, network, application, and identity issues; supports FedRAMP, FISMA, and NIST 800-53 requirements; documents procedures and incidents; contributes to automation; mentors junior engineers; and participates in a 24×7 on-call rotation.

Build and operate scalable Databricks-on-AWS data pipelines using PySpark, Delta Lake, and lakehouse patterns. Optimize performance, implement data quality, monitoring, alerting, and automated remediation, and deliver curated datasets for BI and analytics partners. Collaborate with stakeholders on architecture and design while applying secure software engineering, CI/CD, agile, and operational stability practices. The role also uses AI-assisted development tools and supports workforce data analytics.

Build and deploy production-grade agentic AI and generative AI solutions using Python, Claude Agent SDK, and AWS Bedrock AgentCore. Develop agent orchestration, RAG pipelines, document-processing workflows, CI/CD automation, and enterprise integrations. Deploy and maintain Langfuse for observability, tracing, monitoring, and continuous evaluation. Implement automated testing, LLM-as-a-Judge evaluation, performance benchmarks, security controls, and production troubleshooting across scalable AWS architectures.

Designs and develops AWS data pipelines and automated document-processing workflows for structured and unstructured data. Builds chunking, embedding, vector indexing, semantic search, knowledge bases, and RAG integrations. Develops AI agents using Amazon Bedrock and Claude technologies, deploys them through AgentCore, and maintains GitHub Actions CI/CD pipelines. Optimizes systems for scalability, reliability, security, and performance. Requires remote work in western U.S. time zones and travel to client workshops or meetings.

Design, deploy, administer, secure, monitor, and troubleshoot enterprise AWS cloud infrastructure. Automate provisioning and operational workflows using IaC, scripting, Git, and DevOps practices. Support Windows and Linux environments, virtualization, containers, networking, monitoring, auditing, cost optimization, and complex application infrastructure. Use AI-assisted tools and LLMs for engineering productivity, maintain technical documentation, and participate in occasional after-hours maintenance and onsite activities.

Operate and maintain multi-cloud AWS, Azure, OCI, and GCP environments using Infrastructure as Code and SRE practices. Develop CI/CD automation, scripts, and deployment infrastructure across Dev, Test, and Production environments. Improve observability, resilience, IAM, networking, and security governance while onboarding FedRAMP cloud services. The role requires cloud experience across at least four relevant areas, including Kubernetes, Terraform, CI/CD, scripting, security testing, and cloud architecture.

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.