Top AWS Engineer Jobs in NYC, NY

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.

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.

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.

Lead development of scalable, secure Java/AWS solutions. Design, implement, and optimize applications and cloud infrastructure, drive DevOps and IaC practices, lead production incident response and root-cause analysis, adopt AI-assisted engineering tools responsibly, and evaluate emerging technologies and vendors.

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.

Lead design, build, and operate scalable, secure cloud platform capabilities. Develop Java/Spring Boot services, implement IaC with Terraform, run Kubernetes in HA, deliver CI/CD, apply SRE practices, use observability/APM tooling, and prototype AI/agentic workflows. Mentor engineers and enforce reliability, security, and compliance.

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.

Design, provision, and operate automated AWS infrastructure and full web stack (UNIX/Apache/SSL). Build deployment, provisioning and CI/CD tooling, use config management (Puppet or Chef), and develop in Ruby/Python/PHP/JavaScript. Ensure AWS best practices for VPC, security groups, RDS, autoscaling, and manage source control and deployments with Git, Capistrano, and Jenkins.

Design and maintain scalable Python backend services, enterprise data integration frameworks, batch pipelines, REST APIs, and AWS cloud-native applications. Build serverless solutions using Lambda, DynamoDB, API Gateway, EventBridge, SQS, and Step Functions. Improve data pipeline observability, resilience, monitoring, and performance while supporting analytics, machine learning, and AI use cases. Collaborate with stakeholders and engineering teams, troubleshoot distributed systems, mentor junior engineers, conduct code reviews, and promote modern development and DevOps practices.

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.

Design, build, and manage secure, scalable cloud platforms across AWS, Azure, and GCP. Focuses on incident response, automation with Terraform, and SRE principles to improve operational excellence in a multi-cloud environment.

Implement and support AWS cloud infrastructure, platform services, and Infrastructure as Code with Terraform. Build CI/CD pipelines using GitHub Actions, administer AWS services including EKS, Lambda, S3, IAM, CloudWatch, and VPC, and automate provisioning, monitoring, and maintenance. Troubleshoot incidents, optimize performance, monitor platform health, collaborate on secure scalable solutions, and maintain technical documentation. The role is fully remote, requires U.S. citizenship, and may involve periodic travel and after-hours mission-critical support.

Responsible for supporting documentation for engineering, security, and operational processes of cloud solutions, specifically for federal agencies. Requires strong knowledge of cloud computing fundamentals and AWS.

Design, implement, and maintain scalable AWS infrastructure; automate deployments and configuration; monitor and troubleshoot production systems; collaborate with development teams for smooth feature rollouts; improve infrastructure and application security; stay current with AWS and DevOps best practices.

Design, migrate and manage applications to AWS. Implement and operate EC2, S3, RDS, Redshift, load balancing and CloudFormation. Integrate via AWS APIs/CLI/PowerShell/SDKs, coordinate with application teams, handle post-migration monitoring, backups, and third-party/tool integrations.

Own day-to-day AWS and database operations for a serverless production platform, manage backups and disaster recovery, monitor and debug production, lead incident response and on-call, maintain infrastructure-as-code (SST/Pulumi), optimize costs, and mentor the team on operational best practices.