Top Cloud Engineer Jobs in Austin, TX

Maintain and modernize UNIX server infrastructure and lead cloud migration to Azure. Build and operate CI/CD and DevSecOps pipelines, implement IaC (ARM/Bicep/Terraform), automate configuration management, ensure security and performance, and troubleshoot critical incidents across hybrid cloud environments.

Lead migration and modernization of Windows workloads to Azure, design and maintain Azure DevOps CI/CD pipelines and IaC (ARM/Bicep/Terraform), automate via PowerShell/REST, manage Windows servers and containerized workloads (AKS, Docker, Tanzu), enforce security/compliance (CMMC, STIGs, CIS), and mentor junior engineers.

Own and evolve a multi-region AWS WorkSpaces serverless VDI platform: design, build, automate, and troubleshoot production systems (Lambda, SQS, DynamoDB, SNS). Lead DR, Terraform IaC, Datadog observability, WorkSpaces lifecycle operations, mentor engineers, and ensure security and compliance for a regulated fintech environment.

The Desktop Engineer will manage the VDI environment, ensuring access to crucial applications and optimizing performance for financial services, with a focus on AWS solutions.

Design, build, and operate scalable cloud infrastructure and Kubernetes platforms. Develop service mesh and Istio solutions, automate infrastructure and application deployments, improve observability and reliability, troubleshoot production environments, and support security, performance, and cost optimization. Participate in on-call operations and apply AI/ML-enabled tools to improve engineering workflows.

The role requires designing, building, and operating a secure OpenStack private cloud environment, focusing on Infrastructure as Code and automation to support scalable engineering workloads.

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 major 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 design reviews, postmortems, hiring, code reviews, and mentorship. Apply AI technologies to improve decision-making, workflows, efficiency, and business outcomes while operating high-volume, resilient Tier-1 cloud systems.

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, deploy, and maintain scalable AWS and GCP infrastructure using Terraform and cloud-native best practices. Build automation and internal platforms with Python, maintain CI/CD pipelines with GitHub Actions, monitor systems and participate in on-call rotations, collaborate with security and networking teams, mentor junior engineers, and produce technical documentation and runbooks.

Design, develop, test, and support Oracle HCM Cloud integrations and enhancements. Collaborate with stakeholders and functional teams to gather requirements, build integrations (OIC, web services), troubleshoot issues, create proofs-of-concept, and deliver reporting/analytics and production deployments.

Designs, architects, deploys, and maintains multi-cloud solutions; secures and monitors systems; develops automation and scripts (Bash, PowerShell, Python); maintains documentation and SOPs; collaborates across teams, handles escalations, and advises implementation during infrastructure buildouts.

Design, build, and operate secure, scalable Azure infrastructure and shared platform services. Develop landing zones, networking, identity, governance, PaaS, containers, CI/CD pipelines, and Infrastructure-as-Code frameworks using Terraform, GitHub Actions, or CDKTF. Create reusable deployment patterns and automation, apply security and compliance controls, and implement monitoring and operational readiness. Partner with engineering, data, security, and risk teams to deliver foundational cloud capabilities and enable enterprise-wide Azure adoption.

Implement and support AWS cloud infrastructure, platform services, and Infrastructure as Code with Terraform. Build CI/CD pipelines using GitHub Actions, administer AWS services including EKS, Lambda, S3, IAM, CloudWatch, and VPC, and automate provisioning, monitoring, and maintenance. Troubleshoot incidents, optimize performance, monitor platform health, collaborate on secure scalable solutions, and maintain technical documentation. The role is fully remote, requires U.S. citizenship, and may involve periodic travel and after-hours mission-critical support.

This role involves developing and implementing testing frameworks for ensuring reliability and performance of AI security controls across platforms. The engineer will expand test coverage and contribute to quality metrics for AI models.

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

Design, build, and operate massively scalable cloud services on AWS. Implement Infrastructure as Code, automate operations, run on-call for global services, and improve service quality to make developer workflows easier.

The Application Development Cloud Engineer develops and maintains cloud-native applications, focusing on backend development using modern frameworks while collaborating in teams to ensure quality and performance.

Design, build, and automate integrations between endpoint platforms, identity, and cloud (Intune, Kandji, ABM, Entra ID, AWS WorkSpaces). Migrate GPOs to cloud-native policies, implement Conditional Access and RBAC, develop IaC and automation (Terraform/Ansible/CloudFormation, Lambda, PowerShell/Python), and maintain cross-platform device lifecycle and MDM for enterprise endpoints.

Lead design and implementation of Kubernetes-based cloud platform capabilities across Azure and GCP. Build operators, reusable abstractions, platform tooling, and improve monitoring, observability, deployment patterns, reliability, and developer experience. Drive architecture, on-call/incident response, cross-team technical influence, and mentor engineers.

Designs, secures, operates, and supports multi-account cloud infrastructure across AWS, Azure, and GCP. Responsibilities include AWS networking, Terraform infrastructure as code, GitHub Actions CI/CD pipelines, identity and access management, cloud governance, observability, incident response, disaster recovery, cost optimization, and compliance controls. The role also develops automation, maintains technical documentation, and provides after-hours support when needed.

The Senior Cloud Engineer will manage Kubernetes clusters, implement PaaS features, optimize infrastructure, and enhance operational excellence while mentoring peers.

Architect and operate North’s AWS and multi-cloud infrastructure, establishing IaC, CI/CD, security, observability, and disaster-recovery standards. Build AIOps capabilities including anomaly detection, predictive scaling, self-healing remediation, AI-assisted tooling, and cloud cost optimization. Collaborate with DevOps, SRE, Product Engineering, and InfoSec teams to deliver resilient, compliant, highly scalable platforms.

Lead and grow a cloud platform engineering team building event messaging, data, and storage services across Azure and GCP. Drive delivery, operational excellence, monitoring/observability, incident response, backlog and program management, and developer enablement for shared platform services. Partner with stakeholders to define roadmap and improve reliability, security, scalability, and developer experience.

This role involves developing and maintaining CI/CD pipelines, enhancing deployment processes, ensuring infrastructure reliability, and promoting best practices within the AIDR platform team.