Top AWS Engineer Jobs in NYC, NY

Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build robust cloud-based solutions using Java, JavaScript, TypeScript, SQL, AWS, Docker, Kubernetes, and databases. Collaborate with product managers, address regulatory needs, mentor engineers, and promote modern engineering practices and emerging technologies.

Lead software engineering projects and developer teams building full-stack, distributed microservices and cloud-based solutions. Develop and evaluate code, mentor engineers, collaborate with product managers, and deliver enterprise platforms using Java, JavaScript, TypeScript, SQL, AWS, Docker, Kubernetes, and various databases. The role requires staying current with technology trends, applying Agile practices, and supporting regulatory business needs.

Leads full-stack software engineering projects and developer teams building scalable, cloud-based microservices and customer-facing fintech travel products. Develops solutions using Scala, React, AWS, and related technologies; collaborates with product managers, mentors engineers, drives technology transformation, and supports regulatory and business needs.

Leads full-stack software engineering projects and developers building scalable cloud-based solutions for consumer travel and fintech products. Develops distributed microservices and shared foundational components using Scala, React, AWS, and related technologies. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers secure, regulatory-compliant customer experiences across cross-functional teams.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Designs cloud-based solutions using Java, Python, AWS, APIs, databases, Docker, Kubernetes, and related technologies. Collaborates with product managers, mentors engineers, evaluates emerging technology, and delivers enterprise platforms supporting regulatory and customer needs.

Build, operate, and scale AWS production environments using EKS, ECS, and Terraform. Maintain CI/CD pipelines, Akamai CDN and security configurations, certificates, monitoring dashboards, alerts, and incident-response processes. Improve reliability, observability, automation, resiliency, and secure operations for application and AI-enabled services. Support change management, troubleshooting, documentation, root-cause analysis, and responsible use of AI-assisted development tools.

Lead a team of software developers and oversee diverse technology projects involving distributed microservices and full-stack systems. Build robust cloud-based solutions using Python, Java, AWS, databases, Docker, Kubernetes, and other technologies. Collaborate with product managers, address regulatory needs, mentor engineers, evaluate code, and stay current with emerging technologies. The role requires at least four years of software engineering experience and cloud computing experience.

Leads software engineering projects and developer teams building distributed microservices and full-stack, cloud-based solutions for risk management and regulatory compliance. Responsibilities include coding and code evaluation, mentoring engineers, collaborating with product managers, adopting emerging technologies, and developing systems using Python, TypeScript, React, AWS, databases, Docker, and Kubernetes.

Lead a team of software developers and a portfolio of technology projects focused on regulatory risk solutions. Build distributed microservices, full-stack systems, and cloud-based applications using modern programming languages, databases, containers, and AWS services. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and deliver resilient solutions in an agile environment.

Develops secure, scalable Java applications and critical technology solutions within an agile team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, system stability, data analysis, and continuous improvement. The role uses AI-assisted development tools responsibly, validates generated outputs, contributes automation practices, and supports secure coding, CI/CD, resiliency, and enterprise software delivery.

Designs, develops, and maintains full-stack services using Java, Spring Boot, TypeScript, and APIs. Builds microservices and reactive systems, deploys cloud-native applications on AWS, and manages infrastructure as code. Leads secure adoption of AI-assisted engineering practices, including validation, testing, troubleshooting, and code improvement. Applies 12-factor principles, implements CI/CD and observability tooling, and executes performance and load testing. Preferred work includes multi-agent environments, Agent2UI, A2A protocols, and LLMs.

Lead software engineering for secure, scalable, production-grade applications in an agile enterprise environment. Design complex solutions and architecture, develop Java microservices and REST APIs, improve reliability through automated testing and CI/CD, analyze system data, and build reusable components. Guide responsible adoption of AI-assisted engineering tools, coach team members on secure validation practices, troubleshoot complex issues, and deliver high-throughput distributed systems across cloud-native platforms.

The Lead Software Engineer will oversee technology projects, mentor developers, collaborate on cloud solutions, and utilize various programming languages and AWS tools to drive innovation and meet business needs.

Lead design and delivery of distributed, event-driven backend services using Java, Kafka, and AWS. Define architecture, ensure scalability/reliability/observability, own production operations, drive API/data modeling, implement CI/CD and testing, and mentor engineering teams.

Lead a team and portfolio building full-stack, cloud-native microservices and platforms. Collaborate with product managers to deliver scalable AWS solutions, mentor engineers, experiment with new technologies, and ensure regulatory needs are met using languages like JavaScript, Java, TypeScript, Python, Go, and container orchestration (Docker, Kubernetes).

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, evaluates emerging technologies, mentors engineers, and contributes to technology communities. The role uses languages including Python, Java, JavaScript, TypeScript, SQL, and Go, along with AWS, containers, Kubernetes, relational databases, NoSQL, Snowflake, Databricks, and AI tooling.

Develops secure, stable, and scalable software within an agile team. Responsibilities include designing, coding, testing, troubleshooting, and maintaining Java applications and APIs; considering upstream and downstream system impacts; applying SDLC automation; analyzing data to resolve problems; and contributing to application resiliency, security, and operational stability. The role collaborates across the software development lifecycle and supports continuous technical growth.

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.

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 hands-on design, development, and support of real-time Fixed Income trading systems. Drive modernization, build trading tools, integrate messaging hubs, analyze legacy systems, deliver proofs-of-concept, define KPIs, and collaborate with trading, risk, and P&L stakeholders to ensure scalable, stable solutions.

Lead and contribute to design, develop, and maintain scalable Java/Spring Boot services on AWS. Drive adoption of enterprise-authorized AI-assisted engineering practices, ensure operational stability and monitoring (Prometheus/Grafana), troubleshoot complex issues, participate in architecture and code review, automate remediation, and mentor/lead software engineers.

The Lead Software Engineer will lead diverse technology projects using Python and AWS, mentor team members, and collaborate with product managers to build cloud-based solutions.

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.

Leads architecture and hands-on development of Java and AWS cloud solutions, including microservices, distributed systems, APIs, and AI-enabled applications. Defines technical strategies, engineering standards, and roadmaps; contributes to coding, reviews, troubleshooting, and deployment. Partners with clients and delivery teams, mentors engineers, supports consulting proposals, and drives scalable, secure, resilient solutions using modern DevOps and agile practices.

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.