Top Senior Cloud Engineer Jobs in NYC, NY

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

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.

Design, implement, maintain, and secure scalable cloud infrastructure across Azure, AWS, and enterprise SaaS platforms. Automate cloud resource provisioning, monitor system performance, support data governance and compliance, resolve complex incidents, conduct root cause analysis, and improve operational reliability. The role also develops infrastructure standards and documentation, partners with security teams, mentors junior engineers, and participates in 24/7 on-call support.

Leads the design, development, and operation of cloud and AI platforms, supporting scalable technology solutions for clients.

Design, build, operate, and maintain secure, resilient AWS cloud and container infrastructure. Lead technical initiatives, improve developer experience through automation and self-service platforms, troubleshoot production incidents, support migrations, and develop infrastructure tooling. Collaborate across engineering teams, participate in code reviews, mentor peers, and reduce operational toil through automated testing, observability, and infrastructure as code.

Design and deliver production-grade backend systems powering Temporal Cloud namespaces, audit logs, export, and data products. Architect scalable data pipelines and storage systems, establish data quality and observability standards, lead technical direction, improve reliability and incident response, collaborate cross-functionally, and mentor engineers. The role emphasizes distributed systems, operational excellence, customer experience, and resilient cloud architectures.

Drive technical sales for Microsoft’s cloud and AI data platform through demos, proofs of concept, hackathons, and architecture workshops. Advise enterprise customers on secure, scalable database and analytics architectures, migrations, and deployments. Build relationships with platform leaders, resolve technical blockers, collaborate with engineering, and promote Azure data technologies including Fabric, Databricks, Purview, and Azure databases.

Provide technical pre-sales leadership for nonprofit customers modernizing cloud and platform estates. Design secure, scalable, resilient, compliant, and sovereign Azure architectures; lead workshops, demonstrations, prototypes, proofs of concept, migrations, and modernization initiatives. Advise stakeholders on Windows, Linux, Oracle, networking, hybrid cloud, containers, AI infrastructure, and enterprise platforms while driving technical decisions and production-scale Azure deployments.

Lead technical sales engagements for Microsoft Azure database and analytics solutions. Design secure, scalable architectures, conduct workshops, demos, whiteboarding sessions, prototypes, pilots, and proofs of concept, and guide customers through migrations and production deployments. Maintain expertise in Microsoft Fabric, Azure Databricks, Azure databases, data warehouses, big data, analytics, and AI transformation while influencing technical decisions and customer commitments.

Lead AWS cloud infrastructure, infrastructure-as-code, CI/CD, observability, security, compliance, and platform operations. Design and operate networking, compute, storage, Kubernetes environments, deployment pipelines, secrets management, and audit controls. Partner with SRE and application engineering teams on reliability, incident response, deployment patterns, migrations, and platform improvements. Document architecture and runbooks while supporting regulated applications and participating in on-call coverage.

Drive technical sales for Azure cloud and AI infrastructure solutions. Lead architecture sessions, workshops, demos, proofs of concept, and migration or modernization initiatives. Design secure, scalable hybrid-cloud architectures for Windows, SQL, Linux, PostgreSQL, Oracle, and enterprise applications. Advise customers on networking, resiliency, compliance, containers, AKS, Azure Arc, SAP, VMware, and partner technologies while collaborating with engineering and business stakeholders.

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.

Drive technical sales and customer adoption of Microsoft’s cloud and AI platforms through demonstrations, proofs of concept, hackathons, and architecture workshops. Design secure, scalable AI and cloud-native application solutions, resolve technical blockers, and guide production deployments. Build relationships with developers and platform leaders while maintaining expertise in AI Foundry, Azure AI, responsible AI, application modernization, and AI management and security.

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.

Lead technical pre-sales for enterprise AI applications: run demos, PoCs, hackathons, and architecture workshops. Design secure, scalable cloud-native AI solutions, resolve technical blockers, and advise customers on AI Foundry, Azure AI, Responsible AI, and AI management/security to accelerate adoption and deployment.

Leads hypothesis-driven threat hunting, cloud vulnerability analysis, remediation, and incident response across AWS, Azure, GCP, and OCI. Administers Qualys and Tenable, analyzes SIEM and cloud telemetry, investigates threats, prioritizes vulnerabilities, remediates misconfigurations and IAM risks, develops detections and hunt playbooks, documents findings, briefs stakeholders, and mentors junior engineers.

Leads technical sales engagements for Microsoft cloud and AI solutions. Delivers demonstrations, proofs of concept, hackathons, coding sessions, and architecture workshops to drive customer adoption and production deployment. Designs secure, scalable, cloud-native and AI-enabled architectures; resolves technical blockers; collaborates with engineering teams; and advises customers on AI Foundry, Azure AI, agentic AI, Responsible AI, application modernization, and deployment workflows.