Top Cloud Engineer Jobs

Designs and implements cloud cybersecurity solutions, performs audit log review and forensics, supports RMF/C&A and continuous monitoring, architects secure infrastructure, advises ISOs, and coordinates security controls and mitigations across development teams.

Design, build, and maintain cloud ETL/data ingestion pipelines for a government financial reporting system using AWS services. Automate partner CSV ingestion, support Glue, DMS, Redshift, S3, Lambda, and Oracle PL/SQL processing, provide operational support and troubleshooting, and contribute to CI/CD and infrastructure-as-code using Bitbucket, Jenkins, and Terraform.

Support and maintain secure DoD cloud infrastructure using AWS, Linux, Windows/AD, and scripting (Bash/Ansible/YAML). Harden systems to STIGs, deploy and optimize cloud components in a DevOps/Kubernetes environment, collaborate with stakeholders, and work variable shifts. TS/SCI clearance required.

Define and drive reliability for Saviynt's SaaS platform by designing, building, and operating scalable, reusable platform services. Lead Kubernetes platform engineering, multi-region cloud architectures, event-driven systems, CI/CD pipelines, observability, service mesh, and shared relational data services. Provide tooling, APIs, on-call support, and cross-team guidance.

Design, develop, integrate, and support Oracle Fusion HCM Cloud technical solutions across Core HR, Payroll, Time & Labor, Absence, Learning, and Talent. Build and maintain integrations, HCM extracts, BI Publisher/OTBI reports, Fast Formulas, and data loads (HDL/HSDL). Provide Tier 2/3 support, participate in UAT, document solutions, and collaborate with HR and IT stakeholders to ensure stability and improvements.

Responsible for deploying, managing, and optimizing cloud infrastructure, implementing data quality frameworks, and collaborating with cross-functional teams to ensure high performance and security of cloud systems.

The role involves managing full technical lifecycle of client cloud deployments, designing integrations, maintaining infrastructures, and engaging with clients directly.

Looking for a Cloud SRE Engineer to ensure reliability and stability of cloud services, perform troubleshooting, and collaborate across teams. Bilingual in Mandarin preferred.

Responsible for maintaining and scaling the cloud infrastructure to support enterprise AI workloads, optimizing costs, and ensuring security and reliability.

The Engineering Manager will lead the cloud platform team to enhance reliability and scalability, oversee a team of engineers, and improve the platform's operational performance, focusing on observability, intelligence, and orchestration capabilities.

Lead design and development of high-volume, low-latency full-stack applications, collaborating with product and architecture teams. Drive microservices and API-first implementations on cloud (AWS), ensure SRE practices, define AI governance and best practices, coach and mentor engineers, document technical solutions, and facilitate communication across technical and non-technical stakeholders.

Design, implement, and maintain cloud security controls across Azure, hybrid, and on-prem environments. Manage IAM, RBAC, PIM, and CI/CD security; monitor posture with Sentinel and Defender; run vulnerability and risk assessments; support incident response and remediation; enforce policies aligned to NIST, SOC 2, and CIS; drive data protection.

Lead design, implementation, automation, and operation of enterprise Okta identity services. Drive application onboarding, federation, lifecycle management, resiliency, monitoring, incident response, governance, and platform automation while mentoring engineers and improving security posture.

Design, build, and operate Redpanda Cloud services across AWS, GCP, and Azure. Own features end to end, lead technical architecture, and develop automated provisioning, deployment, upgrades, and self-healing systems. Maintain reliability, scalability, security, resilience, and observability for a 99.99% SLA. Participate in on-call operations and collaborate with Cloud, Core, AI, Platform, product, and customer-facing teams.

The Cloud Data Engineer designs and supports scalable Snowflake and Azure data architectures, environments, and ETL/ELT pipelines. Responsibilities include Snowflake performance and cost optimization, Azure resource management, security controls, troubleshooting, documentation, design reviews, and collaboration with architecture, engineering, BI, and security teams. The role also contributes to software development, testing, debugging, mentoring, and data warehouse and data mart implementation.

Leads cloud services operations, infrastructure improvements, complex issue resolution, customer deployments, maintenance, automation, and technical documentation across private and public cloud environments. Collaborates with architects, mentors cloud engineers and administrators, recommends infrastructure and configuration improvements, and supports scalable, secure, cost-efficient cloud solutions.

As a Staff Software Engineer, you will design and implement infrastructure to scale Notable's healthcare AI platform while ensuring reliability, security, and continuous delivery processes.

Design and build cloud services and web applications to manage and monitor medical imaging devices. Develop microservices, APIs, data pipelines, dashboards, and front-end interfaces; collaborate with product and design teams, produce regulatory documentation, and participate in on-call rotations and code reviews.

Build and operate GCP and on-premises infrastructure supporting high-throughput crawling, search, queues, databases, and ML workloads. Manage Kubernetes clusters, CI/CD, infrastructure as code, observability, enterprise security controls, reliability targets, cost optimization, and incident response. Partner with product and search engineering teams to productionize services and own infrastructure from design through operation.

Develop and maintain web, mobile, API, and data marketplace features within Agile Scrum teams. Migrate products to Azure and other public cloud environments, automate build, test, and deployment pipelines, improve test coverage, conduct peer reviews, implement security controls, and troubleshoot production issues. The role requires scalable software and query optimization, cross-team collaboration, continuous improvement, and responsible use of AI tools.

Design and deploy secure AWS cloud infrastructure using Terraform, Ansible, and CloudFormation. Build CI/CD pipelines with Jenkins and GitLab, automate deployments, support Kubernetes and Docker workloads, and troubleshoot AWS services including EC2, EKS, S3, RDS, and Bedrock. Implement IAM, encryption, network security, SELinux, kernel hardening, and compliance controls aligned with DISA STIGs, NIST 800-53, and FedRAMP. Collaborate with development and security teams while maintaining technical documentation.

Deploys, automates, monitors, secures, and maintains Azure production environments for managed-services customers. Responsibilities include configuration and release management, troubleshooting, customer deployment validation, cloud governance, monitoring and logging, infrastructure automation, architecture recommendations, CI/CD support, and on-call operations. The engineer also supports Azure networking, identity, security, Kubernetes, disaster recovery, and complex cloud infrastructure across diverse customer environments.

Architect and manage scalable cloud infrastructure, CI/CD pipelines, GitOps workflows, and infrastructure-as-code practices. Drive platform automation, developer velocity, observability, incident response, and cloud-native architecture. Partner with engineering, platform, and security teams; mentor engineers; and explore AI-driven infrastructure automation. The role emphasizes GCP, Kubernetes, Terraform or Crossplane, Buildkite or GitHub Actions, and ArgoCD or Flux, with optional FinOps, cloud security, and service mesh experience.

Design, deploy, and manage resilient GCP network architectures, including VPCs, Interconnects, load balancing, and DNS. Lead Terraform-based infrastructure automation, implement network security policies, optimize cloud networking costs, and resolve connectivity and performance issues. Drive SRE practices such as capacity planning, error budgets, monitoring, and alerting. Partner with SRE, platform, and engineering teams to onboard services and maintain high availability, reliability, and security across distributed systems.

Administer and secure Microsoft Azure environments supporting development, testing, and production deployments. Manage networking, Linux systems, GitLab CI/CD pipelines, vulnerability scanning, security tooling, Kubernetes clusters, infrastructure images, and ongoing platform upgrades. Use Infrastructure as Code and Bash or Python automation while providing technical leadership and consulting support for customer systems.