Top Cloud Engineer Jobs in NYC, NY

Principal Software Engineer responsible for designing scalable software frameworks, developing secure production code, and leading code quality and operational stability. The role architects agentic AI-enabled engineering workflows, establishes responsible AI guardrails, and drives automation across teams. It also provides technical expertise, advises senior stakeholders, develops reusable engineering methods, and leads adoption of cloud-based solutions using GCP or AWS and Python, Java, or Go.

Designs and maintains Azure enterprise data infrastructure using Terraform and CI/CD pipelines. Implements multi-plane architectures, hybrid Azure-Google Cloud networking, secure platform services, Kubernetes workloads, identity and access controls, and centralized monitoring. The role supports Airflow, Milvus, Neo4j, GPU workloads, and healthcare-compliant environments with HIPAA, PHI, encryption, data residency, and secure SDLC requirements.

Design and build scalable software for NVIDIA’s multi-tenant cloud infrastructure, including network and systems automation, hardware and network provisioning, APIs, testing, deployment, and production services. Collaborate with engineers, architects, product managers, internal partners, and leadership to deliver robust distributed systems and contribute to open-source communities.

Build and maintain network automation and orchestration software for NVIDIA GPU Cloud and SuperPod deployments. Design/configure centralized configuration management, integrate cloud provider APIs, implement data pipelines and streaming telemetry, and automate lifecycle operations from procurement to deployment. Collaborate with infrastructure experts to deliver zero-touch, production-grade network provisioning, monitoring, and management tools.

Develops, deploys, integrates, tests, and supports cloud-based conversational AI and contact center solutions. Configures GCP services, builds API and enterprise integrations, troubleshoots application and production issues, and supports contact center modernization. The role also develops conversational workflows, applies security and CI/CD standards, participates in Agile delivery, and improves platform reliability through monitoring, documentation, and testing.

Develops, integrates, tests, deploys, and supports cloud-based conversational AI and contact center solutions. Configures GCP services, builds API and enterprise integrations, supports platform modernization, troubleshoots production issues, and implements authentication, workflow orchestration, monitoring, security, and CI/CD practices. Collaborates with architects and cross-functional teams in Agile delivery while maintaining technical documentation and improving platform reliability.

Lead end-to-end engineering for a multi-cloud GenAI platform. Build and operate secure, scalable infrastructure across AWS, Azure, and GCP; manage Kubernetes environments, CI/CD pipelines, deployment automation, observability, reliability, and cloud-native architectures. Provide technical leadership, define tool stacks, guide engineering practices, design distributed systems, and support AI/ML workloads including model-serving systems, APIs, and retrieval-based architectures.

Operate and improve production cloud infrastructure across Azure and AWS. Implement cloud security controls, vulnerability remediation, monitoring, incident response, and SOC 2 compliance processes. Automate operations with scripting, Terraform or Bicep, and CI/CD pipelines. Support reliability, cost optimization, infrastructure integrations, documentation, and on-call resolution for mission-critical SaaS products.

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.

Leads cloud platform engineering through individual contribution, mentorship, infrastructure-as-code, CI/CD automation, AWS architecture, security, networking, Kubernetes, service mesh, and cloud-native scaling. The role develops enterprise automation with Terraform, establishes infrastructure standards, implements GitOps deployment pipelines, ensures AWS Well-Architected and regulatory compliance, and partners with stakeholders on scalable, resilient platform solutions.

Supports cloud infrastructure operations, deployments, monitoring, incident resolution, disaster recovery, backups, IAM governance, and Level 2 production support. Develops automation, monitoring, reporting, documentation, and cloud standards while troubleshooting production issues and participating in on-call rotations. Collaborates with platform teams, researches cloud-native technologies, improves reliability and cost efficiency, and supports secure distributed systems.

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.

Leads architecture, development, and operation of Python-based AWS backend and IoT cloud services. Designs Lambda microservices, REST APIs, event-driven workflows, telemetry pipelines, data models, and AWS IoT Core integrations. Provides hands-on technical leadership through coding, design and code reviews, mentoring, planning, and standards development. Ensures security, scalability, observability, CI/CD, production readiness, incident response, and cross-functional alignment across firmware, mobile, QA, DevOps, Product, and Security teams.

Operate and evolve a Kubernetes platform supporting AI workloads, including model gateways, agent runtimes, and GPU-based inference. Manage cloud model access, routing, quotas, cost controls, tenant isolation, infrastructure as code, GitOps, observability, security, and audit logging. Support product teams through documentation, onboarding, and troubleshooting while prototyping self-hosted model serving.

Designs, operates, and troubleshoots planetary-scale Azure network fabrics, including Ethernet, RDMA, and InfiniBand back-end networks for AI workloads. Develops resilient network designs, implementation plans, automation, and security reviews; leads cross-team and third-party integrations; resolves production incidents through root-cause analysis, telemetry, and device-level diagnostics; and participates in on-call duties while guiding other engineers.

Manage and optimize AWS cloud infrastructure in a fully remote DevOps role. Responsibilities include incident response, root cause analysis, ticket resolution, CI/CD and infrastructure automation, configuration management, observability, security best practices, cost optimization, and technical documentation. The role supports migration of Department of Interior applications to a secure multi-cloud platform and requires collaboration with customer DevOps teams.

Build and operate Temporal Cloud’s managed compute platform, including autoscaling systems, multi-tenant execution services, cloud integrations, control and data plane boundaries, security controls, observability, and reliability practices. Lead API design, rollout, incident response, technical reviews, cross-team collaboration, and mentorship for production platform capabilities.

Lead design, development, testing, and deployment of cloud-native full‑stack applications and microservices. Provide technical leadership, mentor engineers, implement CI/CD and automated tests, and drive modernization using GCP or similar cloud platforms, containers, and enterprise security best practices.

Design, implement, and support cloud-based technical solutions across the organization. Collaborate with IT, product, analytics, and business teams to gather requirements, build automated cloud solutions, monitor production, document processes, and ensure alignment with architecture, security, and governance standards. Stay current with cloud offerings and assist in technical decision-making.

Own and evolve the architecture of Agiloft’s AWS-based cloud services and infrastructure. Lead scalable, secure, reliable, and observable distributed-system design; define service boundaries, APIs, and integration patterns; and drive modernization, automation, CI/CD, infrastructure-as-code, and AI-assisted engineering practices. Partner with CloudOps and engineering leadership on reliability, disaster recovery, cost optimization, and operational readiness. Mentor engineers, influence technical strategy, improve developer experience, and guide long-term platform evolution.

Build and operate distributed cloud backend services powering AI connections, collaboration, authentication, billing, telemetry, and developer workflows. Responsibilities include designing APIs and data models, writing Rust services, managing cloud infrastructure, leading projects, resolving production issues, participating in on-call, and guiding technical decisions across the team.

Designs, administers, migrates, secures, and troubleshoots Azure and on-premises infrastructure across cloud, servers, storage, networking, endpoints, virtualization, and directory services. The role supports Azure modernization, disaster recovery, cost and risk modeling, vulnerability remediation, infrastructure automation, technical documentation, and on-call operations. It also provides technical leadership, escalated issue resolution, staff training, and cross-team support for highly complex cloud environments.

Designs, administers, and troubleshoots Azure and on-premises infrastructure, including servers, storage, networks, virtualization, endpoints, and directory services. Leads cloud migrations, modernization, security compliance, disaster recovery, cost and risk modeling, automation, and complex cloud architecture. Provides technical leadership, escalated troubleshooting, documentation, staff training, and on-call support. The role requires after-hours and weekend work, travel, and expertise across Azure, Windows Server, Active Directory, Intune, SCCM, PowerShell, Ansible, and vulnerability remediation.

Support enterprise multi-cloud operations across Azure, GCP, AWS, and OCI. Manage Kubernetes, Linux, databases, infrastructure provisioning, observability, vulnerability remediation, incidents, releases, capacity, resiliency, governance, and AI/ML platform services. Automate operational processes with Terraform and scripting languages, maintain documentation, and participate in on-call rotations.

Modernize legacy Windows-based .NET applications into secure, scalable containerized services on AWS EKS. Responsibilities include Kubernetes deployment support, PostgreSQL performance tuning, observability with Dynatrace, Splunk, and CloudWatch, application security remediation, Terraform and Terragrunt infrastructure automation, CI/CD, production deployments, and cross-layer troubleshooting.