Top Senior Cloud Engineer Jobs in NYC, NY

Design, implement, and maintain scalable, secure cloud solutions (primarily GCP) using Infrastructure as Code, CI/CD, automation, and cross-functional collaboration to support R&D workloads and compliance requirements.

Design and build a greenfield product that reasons over large-scale data with agentic, LLM-backed systems. Architect high-throughput distributed systems, take AI prototypes to production, ensure reliability, cost and correctness, design safety guardrails for autonomous reasoning, and set engineering standards for quality, testing, and observability.

As a Staff Cloud IAM Engineer, you will lead identity and access management strategy, ensuring secure access, automating workflows, and maintaining operational integrity across corporate IT systems.

Lead the design, implementation, and operation of AWS cloud platforms and EKS Kubernetes environments. Build infrastructure as code with Terraform or CloudFormation, standardize networking, IAM, secrets, observability, and CI/CD patterns, and troubleshoot production workloads. Support security, incident response, performance testing, automation, and operational stability. Lead adoption of responsible AI-assisted engineering practices, coach teams on secure validation, and evaluate architectural solutions with vendors and internal stakeholders.

Build and operate a hyper-scale data lake and analytics platform: develop Java microservices and Spark/Scala/Flink pipelines, own a new graph database, design ultra-high-scale data platforms, optimize performance and latency, enable efficient querying for analytics and ML, and collaborate on feature design and stability across teams.

Design, build, and operate cloud-native platform services and distributed systems to support research, AI, and data-intensive workloads. Create abstractions, APIs, and automation for cloud resource management; manage large-scale compute, storage, and networking; improve observability, performance, and resiliency; collaborate with researchers to deliver scalable production systems.

Design, implement, and automate scalable cloud security solutions and baselines across AWS/Azure/GCP. Build guardrails, IAM, detection/monitoring, configuration management, and data protection using IaC (Terraform) and everything-as-code. Collaborate with Product Engineering and security teams, produce technical documentation, and operationalize security tooling.

Develop Go-based microservices and REST APIs for CrowdStrike's Cloud Security Posture Management platform. Own end-to-end delivery, follow engineering best practices, use event-driven workflows (Kafka), and store data in Cassandra/Elasticsearch/Postgres. Operate production services (on-call), deploy containers in Kubernetes with Helm, and work with cloud providers and infrastructure-as-code tools to secure cloud workloads.

Lead and own the enterprise GCP platform: design, build, and operate a compliant, secure, production-grade landing zone. Define IaC, networking, identity, observability, and automation standards; mentor engineers; provide L3 support and roadmap leadership while enabling self-service and FinOps.

Build and operate a scalable integrations platform for data connectors ingesting petabytes/day. Design and develop distributed, multi-region systems in Go/Python, implement connectors (REST, WebSocket, file), ensure high availability, optimize performance/cost, support production incidents, and drive cross-team platform initiatives and SDK improvements.

Lead the design and implementation of cloud architecture to support CrowdStrike's mission in cybersecurity, ensuring scalability and resilience of services.

Evaluate and approve cloud platforms, run POCs, support teams to productionize cloud workflows, enforce security/cost/data guardrails, maintain platform catalogue and documentation, and educate stakeholders on best practices.

Senior cloud architect responsible for designing scalable, secure, cost-efficient multi/hybrid cloud architectures (primarily Azure), defining governance, migration strategies, IaC and automation, collaborating with engineering and business teams, and producing architectural documentation and standards.

Develop and maintain AWS cloud-native applications and backend services using Python. Design scalable architectures, APIs, event-driven applications, and system integrations with Lambda, Step Functions, Kafka, Terraform, and CloudWatch. Troubleshoot complex cloud issues, support migration and modernization, and contribute to technical architecture decisions. This is a hands-on senior developer role requiring regular coding, strong system design, and backend development expertise, with Java-to-Python/AWS experience preferred.

Lead design and delivery of scalable, secure AWS-based platform solutions. Develop and maintain production code and automation, champion AI-assisted engineering practices, produce architecture documentation, analyze large datasets for resiliency and performance, implement CI/CD and observability, and mentor junior engineers.

Responsible for deploying, managing, and optimizing Azure cloud resources. Collaborates with teams to ensure compliance and security standards. Provides support, monitors environments, and offers recommendations for improvement. Mentors junior engineers.

Build and operate cloud and on-premises network infrastructure supporting CrowdStrike’s global security platform. Responsibilities include developing Terraform modules, implementing AWS multi-region and hybrid networking architectures, supporting cloud migration and data center exit programs, contributing to architecture reviews, improving CI/CD and Kubernetes enablement, documenting standards, and monitoring infrastructure. The role requires cross-functional communication, compliance-aware design, infrastructure automation, and use of AI technologies to improve troubleshooting and operational efficiency.

The Cloud Security Engineer will secure cloud infrastructure, implement solutions for systemic risks, and support internal projects using Kubernetes and service mesh technologies.

Design, build, and operate secure, scalable AWS cloud platforms using IaC (Terraform), Kubernetes/EKS, and automation. Implement SRE practices, build reusable platform tooling (Python/Go), integrate security and compliance, improve observability and incident response, and collaborate with architecture, security, and application teams to support production environments.

Own and build Grow Therapy's data security infrastructure: automated data classification, field-level masking/tokenization, encryption and key management, secure data connectors to AI tooling, and access controls. Define a multi-year vision, implement pipelines and services, and partner across Data, Engineering, and Detection & Response to make secure-by-default the company standard.

As a Senior Cloud Support Engineer, you'll provide high-level support for GPU workloads, mentor team members, resolve complex technical issues, and enhance customer satisfaction through technical expertise and problem-solving.

Lead backend engineering for CrowdStrike's Asset Platform building cloud-native, microservice distributed systems at scale. Design and ship production code, optimize scalability, concurrency and performance, mentor engineers, collaborate across teams, apply engineering best practices and leverage AI to improve decision-making and workflows.

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.

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.

Lead design and implementation of security controls for AI and cloud platforms, configure DLP and alerting, detect and remediate misconfigurations, perform AI security assessments, document findings, and advise clients and presales on AI security best practices.