Top Remote AWS Jobs

Leads development of secure, scalable, cloud-native Java microservices using Spring Boot and Kafka. Designs domain-driven, event-driven architectures; delivers production code, automated testing, CI/CD, observability, resiliency, and operational improvements. Provides technical leadership through code reviews, debugging, vendor evaluations, communities of practice, and cross-functional collaboration. Promotes responsible use of approved AI-assisted engineering tools, including validation for correctness, performance, security, and data sensitivity.

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.

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 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.

Builds and maintains secure, scalable data pipelines and architectures within an agile corporate technology team. Responsibilities include creating data models, delivering data platform solutions, implementing database backup and recovery strategies, evaluating data access controls, and supporting analytics. Requires strong Python, AWS, Databricks, PySpark, Terraform, ETL, REST API, SQL, and orchestration experience, along with software engineering and object-oriented programming skills.

Leads design, development, testing, troubleshooting, and operational support for secure Java and Spring Boot microservices. Builds scalable AWS cloud-native services, establishes API and engineering standards, improves resiliency and observability, automates recurring issue remediation, and reviews production code. Guides responsible adoption of AI-assisted engineering tools, validates AI-generated outputs, coaches engineers on secure practices, and collaborates with security, risk, and architecture partners.

Lead design and delivery of scalable Java microservices and cloud-native AWS solutions. Mentor engineers, improve CI/CD and testing, build Databricks/Spark data pipelines, apply event-driven patterns (Kafka), and govern enterprise AI-assisted development practices to ensure secure, resilient, and cost-effective production systems.

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.

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, implements, and operates AWS cloud security controls for FedRAMP-compliant environments. Responsibilities include AWS security architecture, IAM and network security, Infrastructure as Code guardrails, continuous monitoring, vulnerability remediation, logging and SIEM integration, encryption, incident response, DevSecOps collaboration, SSP and ATO support, and audit evidence documentation. The role also supports RMF, NIST control mapping, boundary definition, and continuous authorization activities.

The MSP Sr. Developer leads a team to maintain and improve AWS environments, manage incidents, execute change requests, and mentor junior developers while ensuring operational stability and client satisfaction.

Operate and improve AWS-based infrastructure and complex production systems. Build infrastructure as code, containerized deployments, CI/CD pipelines, monitoring, observability, rollback processes, and load-testing practices. Manage Aurora/PostgreSQL reliability, security hardening, vulnerability scanning, compliance evidence, incident response, on-call rotations, and root-cause analysis. Collaborate with clients and teams while supporting secure, multi-tenant environments and audit-sensitive workloads.

Build and operate reliable, secure AWS infrastructure and production services. Responsibilities include managing Aurora/PostgreSQL, containers, infrastructure as code, CI/CD, deployment rollbacks, observability, load testing, security controls, compliance evidence, incident response, on-call support, and root-cause analysis for complex systems. The role requires collaboration with clients and overlap with US business hours while maintaining high ownership and delivery standards.

Performs cloud security engineering across AWS and GCP, including system hardening, vulnerability remediation, compliance scanning, cloud operations, security tooling, incident response, and troubleshooting across infrastructure and identity layers. Supports FedRAMP, FISMA, and NIST 800-53 environments, participates in a 24×7 on-call rotation, maintains technical documentation, communicates with customers, and mentors junior engineers.

Build and operate AWS-based data platforms, Java/Spring Boot services, reliable data pipelines, and AI-powered applications. Responsibilities include data ingestion and modeling, predictive ML, generative AI and RAG with Bedrock and OpenSearch, production monitoring, security, CI/CD, infrastructure as code, and integrations with databases, POS, payment, and partner systems.

Designs and operates secure AWS cloud environments through DevSecOps automation, infrastructure as code, CI/CD security testing, firewall and network security, container security, identity controls, and automated incident response. The role manages AWS infrastructure, virtualized next-generation firewalls, compliance guardrails, monitoring, remediation, and hybrid systems while supporting NIWC Atlantic mission requirements.

Develop, enhance, troubleshoot, and maintain public-facing geospatial applications for the USGS National Map. Use JavaScript and AWS technologies to automate cloud-based data workflows, improve scalability, test existing solutions, and resolve technical issues. The role requires software engineering fundamentals, analytical problem-solving, and collaboration while working with existing codebases. Preferred experience includes Python, modern frontend frameworks, Node.js, REST APIs, additional cloud platforms, and Esri technologies.

Enhance, maintain, troubleshoot, and improve public-facing geospatial applications for the USGS National Map. Develop with JavaScript and support AWS-based cloud data workflows using services such as Lambda, S3, and EC2. Analyze existing code, improve efficiency and scalability, test solutions, and collaborate with technical teams. The role also involves debugging, version control, software testing, and designing maintainable solutions.

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, implements, and manages AWS cloud security policies, architecture, and technologies. The role oversees firewalls, DLP, vulnerability scanning, monitoring, logging, IAM, incident response, compliance, and remediation. It provides security guidance for AWS solutions, supports migrations of mission-critical applications, researches new technologies, documents standards, presents to varied audiences, and mentors less experienced engineers. The position requires strong AWS expertise, infrastructure-as-code proficiency, knowledge of regulated healthcare environments, and experience securing highly available cloud and serverless architectures.

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.

Lead enterprise AWS consulting engagements from architecture through deployment. Design resilient cloud-native, serverless, and containerized solutions; migrate legacy infrastructure; and deliver Generative AI and machine learning workloads using AWS services. Partner with executive stakeholders, build proofs of concept, drive cloud adoption and account growth, mentor engineers and architects, and develop reusable Terraform modules, Well-Architected Review frameworks, and delivery best practices.

Maintain and enhance existing public-facing geospatial applications for the USGS National Map. Develop with JavaScript, troubleshoot and improve code, and support scalable AWS-based data workflows using the AWS SDK, CLI, Lambda, S3, and EC2. Apply software engineering fundamentals, testing, debugging, version control, and analytical problem-solving while collaborating in a technical environment. Python, front-end frameworks, Node.js, REST APIs, additional cloud platforms, and Esri technologies are preferred.

Develop and maintain public-facing National Map applications for USGS. Responsibilities include improving existing functionality, troubleshooting, JavaScript development, AWS cloud workflow automation, testing, debugging, and scalability improvements. The role requires collaboration, analytical problem-solving, software engineering fundamentals, and experience with AWS SDK, CLI, Lambda, S3, and EC2. Preferred experience includes Python, modern front-end frameworks, Node.js, REST APIs, additional cloud platforms, and Esri technologies.