Top Senior Cloud Engineer Jobs in NYC, NY

Designs, builds, and operates secure, scalable AWS cloud platforms using Terraform, Kubernetes, Infrastructure as Code, and automation. Develops reusable platform tools with Python or Go, implements CI/CD and SRE practices, improves observability and reliability, and supports Amazon EKS environments. Partners with security, architecture, application development, and operations teams to embed governance, compliance, resilience, and self-service capabilities into cloud services.

Leads development of secure, scalable Java and cloud applications; designs, codes, tests, debugs, and reviews production software. Drives AI-assisted engineering practices, automation, monitoring, operational stability, secure SDLC adoption, and application resiliency. Evaluates vendor and internal architectural solutions while coaching teams on responsible AI use, secure coding, testing, and agile delivery.

Lead enterprise cloud infrastructure transformation, including modernization to microservices and event-driven platforms. Define technical vision, architecture standards, and platform strategy; ensure scalability, performance, security, and operability. Drive cloud, CI/CD, infrastructure-as-code, governance, AI, and automation adoption. Lead cross-functional technical initiatives, mentor engineers, influence enterprise standards, and support large-scale production cloud environments.

Lead cloud infrastructure strategy and innovation, including cloud connectivity, landing zones, platform management, modernization, networking, security, identity, and automation. Define technical vision and API standards, guide enterprise architecture, improve large-scale distributed systems, and promote AI-enabled engineering workflows. Mentor engineers, lead cross-domain initiatives, influence technology strategy, and ensure reliable, secure, scalable cloud operations.

Design, build, and operate multi-region, multi-cloud network infrastructure across AWS, GCP, and Azure. Own cloud-to-cloud and customer connectivity, troubleshoot latency/packet-loss via pcap and path analysis, set technical direction for network expansion, improve cross-region connectivity, and identify network cost and efficiency improvements while participating in incident response and on-call rotation.

Build, test, and optimize Google Cloud-native applications and generative AI solutions across the software development lifecycle. Translate client needs into technical designs, develop AI-enabled features using Vertex AI, LLM APIs, prompt engineering, RAG, Python, LangChain, and vector databases, and evaluate model performance and guardrails. Collaborate with stakeholders, review engineering deliverables, manage workstreams, and mentor junior team members.

Leads enterprise GCP architecture, cloud modernization, platform engineering, and operational excellence. Designs secure, scalable cloud-native and hybrid solutions; establishes engineering standards; leads migrations; builds CI/CD pipelines with Harness and IaC with Terraform; advances SRE, observability, governance, and compliance. Provides technical leadership, mentorship, architecture reviews, and escalation support while managing GCP services, Vertex AI integrations, security controls, reliability, performance, and cost efficiency across teams.

Lead the design and implementation of cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across stakeholders, and improve engineering practices through hiring, design reviews, postmortems, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating resilient, high-volume Tier-1 cloud systems.

Lead the design and implementation of cloud architecture components and deliver low-latency, highly scalable services. Collaborate with desktop agent and AI teams, drive technical decisions across groups, and improve engineering practices through design reviews, postmortems, hiring, mentorship, and code reviews. Build and operate resilient Tier-1 cloud systems while applying AI technologies to improve workflows, efficiency, decision-making, and business outcomes.

Design, deploy, and maintain secure, scalable AWS cloud infrastructure using Terraform, Docker, networking, and automation. Monitor system performance, implement security and governance controls, troubleshoot incidents, restore services, and coordinate outage resolution. Collaborate with development teams on containerization and deployment pipelines, create operational documentation and automation tools, and provide after-hours support.

Leads cloud asset intelligence and inventory initiatives, defining technical vision, architecture standards, and platform strategy. Designs scalable, secure, multi-tenant cloud platforms; modernizes monoliths into microservices and event-driven systems; and applies AI and automation to improve cloud operations. The role drives cross-divisional architecture, engineering standards, operational excellence, and executive influence while mentoring senior engineers and strengthening organizational capabilities.

Deploys, supports, troubleshoots, and maintains private cloud, virtualized, Windows, and Linux infrastructures. Responsibilities include VMware administration, network virtualization, system upgrades, patching, capacity management, monitoring, incident resolution, infrastructure documentation, change management, and customer support. The role also requires project scoping, automation, outage prevention, performance optimization, and collaboration with 24/7 operations teams while mentoring junior staff.

Designs and operates cloud-native platform services, distributed systems, and large-scale compute, storage, and networking infrastructure supporting research, AI, and data-intensive workloads. Builds APIs, abstractions, automation, and deployment systems to simplify cloud resource management. Improves observability, performance, resiliency, and operational excellence while collaborating with researchers and engineers to deliver scalable production platforms.

Designs, builds, and operates scalable, resilient cloud data platforms and pipelines. Leads large-scale data initiatives, makes architectural decisions, evaluates technologies such as Snowflake and Databricks, and develops solutions using distributed data systems, relational and NoSQL databases, and cloud platforms. Collaborates with product and engineering teams, establishes reusable design patterns, communicates technical concepts, and mentors data engineers, analysts, and scientists.

Design, build, and support scalable cloud data platforms, pipelines, and applications. Develop distributed data solutions using Python, Spark, SQL, Databricks, Snowflake, and relational and NoSQL databases. Architect reusable engineering patterns, improve resilience and operational efficiency, enforce data security, and support real-time workloads. Collaborate with Agile teams, product managers, engineers, analysts, and data scientists while mentoring peers and communicating technical outcomes to stakeholders.

Design, build, operate, and scale cloud-native systems supporting Falcon Complete cybersecurity analysts. Responsibilities include developing web services and data pipelines, improving monitoring and reliability, automating operational tasks, collaborating with stakeholders, translating feature requests into requirements, and participating in 24/7 on-call rotations. The role involves distributed systems, microservices, databases, messaging platforms, container orchestration, and AI-enabled workflow improvements in a remote, asynchronous environment.

Develop and operate scalable cybersecurity systems for Falcon Complete, enabling analysts to triage, remediate, and prevent threats. Responsibilities include implementing product enhancements, designing reliable microservices and data pipelines, improving monitoring, automating operations, collaborating with stakeholders, and participating in 24/7 on-call rotations. The role requires cloud-native development, distributed systems expertise, database and messaging-system knowledge, container orchestration experience, and practical use of AI technologies.

Lead development of scalable backend services and data platforms using Scala and Rust. Design distributed systems, APIs, data pipelines, and security-data workflows; guide Scala-to-Rust migration; support Python-based malware analysis, threat detection, and machine learning systems. Own production reliability, architecture, code quality, reviews, deployment, observability, and incident response in a cloud-native environment.

Designs, develops, tunes, and maintains scalable AWS cloud infrastructure and containerized application deployments. Responsibilities include managing EKS, ECS, networking, storage, CI/CD pipelines, security boundaries, monitoring, alerting, and cloud migrations. The role uses Docker, Kubernetes, Python, Bash, Datadog, and AWS services while documenting solutions under the AWS Well-Architected Framework. It also supports compliance, technical documentation, and infrastructure automation, with preferred experience in API gateways, SFTP, web servers, and Atlassian tools.

Designs, deploys, secures, and maintains Microsoft Azure infrastructure. Responsibilities include Infrastructure as Code, CI/CD pipeline development, automation, networking, monitoring, identity and access management, governance, disaster recovery, cost optimization, troubleshooting, incident response, and cloud platform modernization. The role collaborates with infrastructure, security, development, and business teams while maintaining documentation and improving cloud reliability, scalability, and operational efficiency.

Designs, builds, automates, and operates Azure cloud platforms supporting enterprise applications, data platforms, analytics, and digital transformation. Responsibilities include Infrastructure as Code, networking, identity, security, CI/CD, Kubernetes, containerization, monitoring, production troubleshooting, and data platform enablement. The role also administers Microsoft 365 services, hybrid Entra ID environments, Exchange Online, Teams, SharePoint, and related security controls.

Designs, deploys, and maintains secure, scalable AWS infrastructure using Terraform and GitLab CI/CD. Supports applications, monitoring, incident resolution, IAM, backups, upgrades, observability, disaster recovery, and audit activities. Collaborates with engineering, security, infrastructure, data, and analytics teams to improve reliability and automation. Participates in on-call operations and provides technical guidance on cloud architecture, deployment strategies, and AWS best practices.

Design, develop, deploy, monitor, and maintain AI-enabled enterprise and cloud security solutions. Build machine learning workflows, data pipelines, and scalable security capabilities using Python, Java, TensorFlow, and related libraries. Analyze security risks and data quality, translate technical findings into client recommendations, support security controls across cloud and infrastructure environments, review deliverables, and mentor junior team members.

Build, operate, and improve secure, scalable Google Cloud infrastructure. Support GCP migration, infrastructure as code with Terraform, Kubernetes and containerized workloads, CI/CD automation, cloud networking, observability, cost optimization, security governance, disaster recovery, and AI/data services. Collaborate with engineering, security, DevOps, and finance teams while documenting systems and growing toward senior-level ownership.

Leads cloud-based software engineering projects and developer teams, building resilient full-stack systems with distributed microservices, APIs, databases, containers, and public cloud technologies. Establishes engineering standards, partners with architects and product managers, improves system performance, reduces technical debt, mentors engineers, and influences long-term technology strategy through emerging tools, automation, observability, and operational excellence.