Top AWS Engineer Jobs in NYC, NY

As a Manager, lead teams to design and develop large-scale distributed systems using programming languages like Java and Python. Mentor junior staff, ensure project success, and maintain high standards while fostering innovation and leveraging technology.

Implement and maintain AWS security controls, manage cloud security tools (GuardDuty, Security Hub, Wiz), enforce IAM and least-privilege, monitor and respond to incidents, secure Databricks and container/serverless workloads, support SOC 2 compliance, and automate security via Infrastructure as Code.

Senior Data Engineer responsible for collaborating with Agile teams to develop technical solutions, utilizing big data technologies and cloud services, while mentoring team members and driving financial empowerment solutions.

As a Senior Data Engineer, you'll design, develop, and support solutions using Python, Spark, and AWS, collaborate with Agile teams, and engage in full-stack development.

Lead Data Engineers at Capital One will collaborate with Agile teams to design, develop, and support technical solutions, utilizing advanced data technologies to solve complex business problems.

The Senior AWS Developer will design and implement cloud-native risk technology solutions, manage containerized applications, and collaborate with stakeholders to enhance risk management systems.

Develop and implement architecture patterns, automate deployments, manage SaaS platforms, and ensure compliance in a highly available cloud environment.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Lead the design, development, and implementation of Generative AI applications, ensuring high performance and scalability in cloud-native environments. Collaborate with AI/ML teams to drive innovation and apply best practices in machine learning engineering.

Design and manage cloud applications on AWS, utilizing services for ETL support, Infrastructure as Code, and ensuring application performance and security.

The AWS Data Engineer will design, build, and optimize data pipelines on AWS, ensuring performance and data quality for analytics. Responsibilities include developing ETL processes, collaborating with teams, and monitoring data workflows.

Design and implement AWS cloud solutions, build CI/CD pipelines, use Infrastructure as Code (Terraform/CloudFormation), modernize/refactor applications for cloud, optimize AWS environments for cost, reliability, and scalability, and collaborate with clients and cross-functional teams.

Migrate and optimize data workloads, develop ETL/ELT pipelines, build datasets for analytics, and support BI tools while ensuring data quality and collaborating with teams.

Build production-grade AI-powered data tooling: extract data from Snowflake, generate and store embeddings, enable semantic search, design enrichment pipelines using LLM APIs, optimize AWS infrastructure, and create reusable services and SDKs for scalable, observable data and AI workflows.

As an AWS Cloud Engineer, you will design and manage AWS cloud infrastructure, ensuring scalability, security, and efficient deployments while collaborating with development teams.

The Senior Data Engineer will design, build, and maintain scalable party data solutions, integrating cloud-native platforms and improving legacy systems while mentoring junior engineers.

Provide technical support and development for an eAuthoring application: maintain frontend (React) and backend (Python), integrate and tune LLM features for summarization, tagging, automation and draft generation, work with AWS infrastructure, and collaborate with a top client within EST timezone.

Lead the design and development of secure, high-performance Java applications in AWS, providing technical leadership and mentoring a team while collaborating with product organizations and optimizing CI/CD pipelines.

Lead design and implementation of scalable .NET Core + Angular applications. Communicate with stakeholders, estimate work, drive agile delivery, ensure code quality, mentor engineers, and collaborate across product, QA, and design to deliver client-facing solutions.

The Principal SaaS Operations Engineer will design and implement cloud identity platforms, enhance automation frameworks, and provide application support while collaborating with various teams.

The Senior DevOps Engineer (AWS Bedrock AgentCore) will implement cloud infrastructure, automation, and DevOps best practices, while collaborating with engineering teams to enhance modern DevOps workflows, primarily focusing on AWS services and infrastructure management.

As an AI/ML Data Engineer, you will design and build data and ML infrastructure to create personalized student experiences, working on ETL processes, feature stores, and collaborating with product and data science teams.

Join Qube Research & Technologies to design, implement, and support AWS cloud infrastructure, develop automation, and collaborate on application deployment.

Lead and oversee full stack applications for Yahoo Search, ensuring architectural integrity and code quality while mentoring engineers and collaborating with cross-functional teams.

The Cloud DevSecOps Engineer will design and implement AWS environments, automate infrastructure, develop CI/CD pipelines, and ensure secure operations while supporting federal agencies.