Top AWS Engineer Jobs in NYC, NY

Designs, operates, and scales AWS cloud infrastructure, networking, and Databricks platforms across multi-account environments. Manages Terraform-based infrastructure, CI/CD pipelines, EKS/Kubernetes clusters, enterprise data integrations, observability, incident response, and governance. Optimizes networking, compute performance, costs, reliability, and production data workloads while partnering with engineering teams on continuous delivery and platform operations.

Lead full‑stack teams to design and deliver cloud-based, microservices solutions. Mentor engineers, collaborate with product managers, and build scalable systems using Python, ReactJS, AWS, containers, and modern data tools to meet regulatory and customer needs.

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.

Leads the architecture, development, testing, deployment, and production support of scalable full-stack applications. Builds React and TypeScript frontends alongside Go, Java, Python, or Node.js backend services, using AWS, containers, CI/CD, databases, observability, and automated testing. Owns end-to-end delivery, contributes to system design and architecture reviews, resolves complex production issues, mentors engineers, and collaborates with product, design, architecture, and business stakeholders.

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.

Designs and governs primarily Oracle Cloud architectures, with support for AWS, Azure, and GCP multi-cloud initiatives. Translates business and technical requirements into scalable, secure hybrid-cloud solutions; develops standards, frameworks, governance models, and architecture documentation. Guides engineering teams and supports migration initiatives involving on-premises infrastructure. Responsibilities include cloud networking, DevOps automation, security, FinOps, monitoring, disaster recovery, database platforms, configuration, patching, backups, and observability.

Designs, optimizes, and sustains AWS cloud environments for Marine Corps Systems Command. Responsibilities include infrastructure-as-code automation, cloud networking, troubleshooting, CI/CD, monitoring, containerization, security compliance, documentation, and risk mitigation under federal standards. The engineer collaborates with technical stakeholders, leads automation initiatives, mentors junior engineers, and supports secure, highly available hybrid-cloud environments.

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.

Develops, tests, documents, enhances, and maintains software solutions using established design principles and technical standards. Reviews systems, resolves defects, remediates security vulnerabilities, improves performance, analyzes user stories, and implements business solutions. Participates in software development processes, stays current with technology, mentors engineers, and helps plan and prioritize team development work.

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, develop, and maintain scalable cloud-native backend applications using Node.js, React, and AWS services. Collaborate with cross-functional teams to support federal missions, troubleshoot complex issues, identify root causes, and deliver secure, high-performing solutions. The role also involves relational database and DynamoDB work, agile development, CI/CD practices, and adapting to new technologies.

Build and maintain full-stack production software using React, TypeScript, Python, Flask, PostgreSQL, and AWS. Design APIs, integrations, cloud infrastructure, deployment pipelines, tests, and accessible web experiences. Own features through launch and production support, troubleshoot complex issues, participate in architecture and code reviews, document technical solutions, identify risks, improve engineering processes, and mentor other engineers while collaborating cross-functionally.

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.

Lead Data Engineer designing, building, testing, and supporting cloud-based data pipelines and platforms. Collaborate across Agile teams to implement scalable data movement, modeling, governance, and streaming solutions using Python, Spark, Kafka, Snowflake/Databricks, and other big data tools. Mentor engineers and drive technical innovation.

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.

Operate and maintain AWS infrastructure and CI/CD pipelines, deploy containerized applications, write Terraform IaC, implement monitoring/observability, troubleshoot incidents, resolve security vulnerabilities, participate in on-call rotation, and produce operational/runbook documentation to ensure resilient cloud platform delivery.

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.

Senior cloud architect responsible for designing scalable, secure, cost-efficient multi/hybrid cloud architectures (primarily Azure), defining governance, migration strategies, IaC and automation, collaborating with engineering and business teams, and producing architectural documentation and standards.

Design, build, and lead AWS-based contact center solutions (Amazon Connect, Salesforce Service Cloud Voice). Develop integrations, implement CloudFormation/Lambda, apply IaC and CI/CD, perform code reviews, provide technical advisory, documentation and training, and ensure secure, scalable architectures.

Architect AWS infrastructure and Infrastructure-as-Code solutions supporting a RHEL 7-to-RHEL 8 migration across GovCloud environments. Design AWS accounts, VPCs, EC2, RDS, secure integrations, reusable Terraform and CloudFormation templates, and CI/CD automation. Provide technical direction, lead architecture and design reviews, incorporate security scanning and compliance requirements, define migration validation strategies, and coordinate with federal stakeholders and delivery teams.

Design, configure, develop, test, and support scalable Salesforce solutions for federal clients. Build Apex and Lightning Web Components functionality, configure Salesforce security and workflows, and integrate Salesforce with external systems and AWS services. Gather requirements, support release planning, troubleshoot technical issues, participate in CI/CD and DevOps, and ensure compliance with federal security and governance requirements. Collaborate with government stakeholders, cloud engineers, QA, and business analysts while producing technical documentation and briefings.

Lead and mature AWS platform operations and DevOps practices, automate infrastructure and deployments, migrate complex workloads to AWS, design Kubernetes and serverless solutions, integrate AI/ML platform capabilities, troubleshoot complex systems, and coach teams while upholding organizational faith and child protection commitments.

Design, build, and support cloud platforms and Kubernetes clusters on AWS/Azure; implement Terraform-based IaC and CI/CD pipelines; lead cloud migrations and modernization of legacy workloads; automate scaling and deployments; monitor and optimize system reliability, security, and cost; collaborate with stakeholders and contribute to runbooks, reviews, and knowledge sharing.