Top Cloud Engineer Jobs

Lead secure software and cloud platform engineering across design, development, testing, troubleshooting, automation, and operational stability. Build production solutions using Python, Terraform, and Azure; apply cloud architecture patterns for identity, networking, compute, and management. Lead architectural evaluations, vendor engagements, engineering communities, and adoption of AI-assisted development practices. Establish secure validation standards and coach teams on responsible AI use, cloud integrations, resiliency, and security.

Designs, automates, secures, and optimizes cloud infrastructure for distributed AI/ML training, high-performance computing, and low-latency inference. Responsibilities include cloud architecture, Terraform-based Infrastructure as Code, DevSecOps automation, monitoring system health and performance, and integrating AI solutions across multi-enclave, high-security environments.

Design, build, and manage scalable AWS cloud infrastructure using Terraform and Infrastructure as Code. Own infrastructure projects from design through deployment, troubleshooting, and optimization. Automate provisioning with Python or Bash, maintain CircleCI pipelines, support Docker and Kubernetes environments, optimize cloud costs, and troubleshoot AWS infrastructure, networking, permissions, databases, and deployments in collaboration with engineering teams.

Administer, secure, optimize, and modernize enterprise Oracle and cloud database platforms in a federal hybrid-cloud environment. Responsibilities include production database maintenance, performance tuning, backup and recovery, high availability, incident response, automation, infrastructure-as-code, migrations, vulnerability remediation, documentation, and cross-functional troubleshooting. The role supports Oracle, Azure, Tessell, and additional database technologies while maintaining reliable 24x7 operations and contributing to DevSecOps and continuous improvement initiatives.

Own the reliability, performance, security, and cost efficiency of production cloud infrastructure supporting AI products. Design AWS architecture and infrastructure as code, manage PostgreSQL and Redis operations, lead incident response, improve observability, optimize cloud spending, and maintain runtime security. The role requires deep distributed-systems debugging, on-call experience, disaster recovery expertise, and strong ownership of uptime and production operations.

Designs, builds, and operates cloud-native infrastructure for AI and GenAI workloads across Azure and AWS. Responsibilities include GPU and Kubernetes platforms, networking, storage, model serving, RAG infrastructure, observability, CI/CD, infrastructure as code, security, compliance, reliability, and FinOps. The role defines AI infrastructure architecture and standards, leads solution design, operates platforms using SRE practices, creates reusable platform components, and mentors engineers.

Designs and operates highly available hybrid cloud infrastructure across on-premises datacenters, AWS, and GCP. Responsibilities include Kubernetes, infrastructure as code, CI/CD, Cloudflare edge services, MySQL replication and failover, monitoring, automation, security, disaster recovery, incident response, and reliability improvements. The role participates in on-call rotations, leads operational reviews and postmortems, and mentors cross-functional engineering teams.

Leads the design and implementation of enterprise cloud security controls across AWS environments. Builds policy-as-code, infrastructure-as-code, CI/CD guardrails, posture checks, drift detection, and automated remediation. Establishes technical standards, mentors engineers, influences cross-team architecture, operationalizes CSPM findings, supports audit and governance activities, and participates in on-call rotations.

Design and automate secure, reliable cloud and hybrid infrastructure, focusing on Azure and operational automation, while ensuring alignment with mission-critical needs.

Lead design, implement, and manage scalable AWS/Azure cloud infrastructure to support Generative AI. Collaborate with data scientists to deploy and optimize models, use Terraform for IaC, ensure security and performance, mentor engineers, troubleshoot deployments, and document best practices.

Manage and improve global infrastructure across networks, Microsoft cloud and identity platforms, endpoints, cybersecurity tools, telecom, servers, and site technology. Responsibilities include monitoring and remediation, audit and compliance support, vendor coordination, infrastructure deployments, office moves, global site support, and advanced troubleshooting. The role requires independent ownership, cross-functional collaboration, and approximately 30% travel.

Build, secure, and maintain Azure and GCP cloud infrastructure across environments. Manage security controls, compliance, CI/CD, automation, monitoring, and deployments while integrating cloud services with software applications. Collaborate with engineering teams using AI-assisted development tools and LLMs. Support production software, AI agents, retrieval systems, and RAG applications. The role requires strong problem-solving, communication, collaboration, and independent delivery skills.

Develops and architects enterprise cloud applications using Java, Spring, microservices, AWS, Docker, and Kubernetes. Leads application architecture, cloud infrastructure provisioning, CI/CD, database integration, testing, documentation, project planning, risk management, and technical strategy. Coordinates complex initiatives, advises management, resolves technology issues, and mentors junior engineers. Requires expertise in AWS-native services, REST APIs, Oracle, NoSQL databases, real-time data ingestion, caching, and enterprise software development.

Develop and maintain Python-based automated test frameworks for cloud applications, web UIs, and REST APIs. Build test infrastructure, pipelines, environments, and quality metrics; troubleshoot defects using logs and telemetry; collaborate with software engineers; investigate customer issues; and improve automation coverage and release quality. The role is onsite in Cupertino, requires U.S. citizenship, and includes meetings outside standard business hours several times weekly.

Build and operate Linux-based ML training clusters and inference cloud infrastructure. Responsibilities include access management, hardware validation, job scheduling, container orchestration, CI/CD, observability, incident response, capacity planning, autoscaling, cost tracking, and production security. The role supports heterogeneous accelerators, large-scale training, LLM serving, developer workflows, and reliable model deployments while collaborating across training, inference, product, and technical teams.

Operates and designs hybrid on-premises and AWS network infrastructure, including VPCs, Transit Gateway, VPN, Direct Connect, routing, firewalls, and security controls. Leads CIDR remediation, maintains network documentation and IPAM records, automates infrastructure with Terraform, Ansible, and Python, and supports FedRAMP-aligned environments. The role coordinates Network and Cloud Ops teams, mentors engineers, manages vendors, handles Tier 1 and Tier 2 escalations, and participates in a 24x7 on-call rotation.

Design, build, and operate Watershed’s cloud infrastructure across compute, databases, networking, deployments, and observability. The role involves improving reliability, security, cost efficiency, developer tooling, AI infrastructure, and deployment systems. Responsibilities include collaborating with product engineers, contributing to technical planning and design reviews, participating in 24/7 on-call rotations, and implementing lasting operational improvements.

Own end-to-end testing and release engineering for an inference cloud platform. Build automated tests and infrastructure for Kubernetes deployments across GPU, Corsair, on-premises, and Azure environments. Define release strategies, versioning, promotion, rollback, compatibility testing, and release gates covering functionality, accuracy, upgrades, and performance. Partner across engineering teams to improve test quality, enable feature-owned testing, and scale reliable releases for distributed AI serving systems.

Designs, secures, automates, and operates Bankwell’s Azure and enterprise infrastructure. Leads Terraform infrastructure-as-code, Azure landing zones, identity, networking, monitoring, governance, disaster recovery, and CI/CD automation. Supports Snowflake, AI, analytics, and modernization workloads while partnering with security, compliance, data, and vendor teams. Serves as a senior escalation point, documents architecture and procedures, ensures audit readiness, and mentors team members in secure cloud operations.

Designs and manages CI/CD pipelines, develops Terraform-based Infrastructure as Code, integrates AWS and Azure services, and maintains cloud and on-premises infrastructure. The role automates development processes, monitors system performance, ensures compliance and security, conducts production root cause analysis, and collaborates with development teams on software integration. Responsibilities also include managing Kubernetes, source control, observability, networking, and cloud operations tools.

Maintain and improve cloud infrastructure, CI/CD pipelines, deployment processes, authentication integrations, logging, monitoring, and configuration management across development, test, and production environments. The role enforces security and reliability practices, supports vulnerability testing and access control, collaborates with authorization and assessment teams, participates in Agile development, and provides on-call operational support.

Create and maintain runnable, tested developer-facing documentation and example repos (Terraform/CloudFormation/CDK, SDKs, CLI) for AWS workloads; instrument docs for activation and trial conversion; collaborate with engineering, product, and growth to optimize onboarding and self-serve success.

Designs, deploys, and manages secure, scalable GCP infrastructure using Terraform. Builds CI/CD pipelines, automates infrastructure and application delivery, optimizes cloud performance and costs, and maintains reliability through monitoring and incident management. The role requires deep GCP and Terraform expertise, familiarity with CI/CD tools, and knowledge of containers, Kubernetes, zero-trust security, IAM governance, and cloud compliance.

Designs and manages scalable GCP infrastructure using Terraform, builds CI/CD automation, optimizes cloud performance and costs, and ensures reliability, security, and high availability. The role requires deep GCP and Terraform expertise, production cloud experience, incident troubleshooting skills, and familiarity with CI/CD platforms, containers, Kubernetes, Atlantis, IAM governance, and compliance auditing. Applicants must be U.S. citizens residing in the United States.

Designs secure, scalable Azure cloud solutions for enterprise environments; leads architecture decisions, infrastructure automation, governance, CI/CD, monitoring, networking, hybrid-cloud migrations, disaster recovery, and security compliance. The role uses Terraform, ARM templates, Ansible, Azure DevOps, GitLab, Jenkins, Python, PowerShell, and Bash while collaborating with engineering, security, DevOps, and client teams.