Top 36 Aws cloud engineer Jobs in Crane, Tx

Site Reliability Engineer – Generative AI Platform
HTC Global —United States
- Full-time
- Background check
- Computer science
- Azure
- Health savings account
- Health insurance
Quick Apply
Senior Cloud Solutions Engineer – White Glove (Remote)
Govcio LLC —United States
- $175,000 - $200,000 a year
- Full-time
- Remote
- Azure
- 11+ years
- Research
13d
Senior Cloud Infrastructure Engineer: Deployments
Jack Henry & Associates —United States
- Full-time
- Remote
- Computer science
- 6 years
- Computer Science
Senior IAM Engineer: Identity Governance
Jack Henry & Associates —United States
- Full-time
- Remote
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- Azure
- Computer Science

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Site Reliability Engineer – Generative AI Platform

HTC Global -
United States

Quick Apply

Job Details

Full-time

Benefits

Health savings account
Health insurance
Dental insurance
401(k)
Paid time off
Employee assistance program
Vision insurance
401(k) matching
Employee discount
Life insurance

Qualifications

Containerization systems
Performance monitoring
CI/CD
Azure
Defect resolution root cause analysis
Linux support
Kubernetes
Tooling
Multi-cloud deployment
Infrastructure as Code (IaC)
Improving system uptime or availability
IT system monitoring
AWS
SRE
Incident management operations support
Terraform
Production monitoring
Monitoring system implementation
Problem management
Cloud automation
Technical troubleshooting support
Network monitoring tools
DevOps automation
AI
Cloud monitoring
Linux administration
Python
High availability
Failure analysis
Production troubleshooting

Full Job Description

Site Reliability Engineer (SRE)

Overview / Summary

Join a fast-growing engineering organization building highly available, enterprise-scale cloud platforms. Working onsite up to 4 days per week with our local teams in Burbank, CA,

Build and support the cloud infrastructure behind enterprise Generative AI platforms. We are looking for a hands-on SRE with strong Kubernetes, Terraform, automation, and observability experience who is ready to grow into advanced AI platform reliability work.

About the Role

We are seeking a Site Reliability Engineer to support cloud-native infrastructure and platform reliability for enterprise Generative AI and conversational experience platforms.

This role is ideal for a strong hands-on SRE / DevOps / platform engineer who has solid production experience with Kubernetes, Terraform, automation, observability, incident response, and CI/CD, and is ready to grow deeper into multi-cloud and Generative AI platform environments.

You do not need to be the lead architect on day one, but you should be bright, adaptable, technically curious, and able to learn quickly in a fast-moving platform engineering environment.

What You’ll Do

Support Kubernetes-based platform infrastructure for AI and data service workloads.
Build and maintain infrastructure using Terraform and infrastructure-as-code practices.
Assist with Helm chart updates, Kubernetes configuration, deployment automation, and environment management.
Help implement monitoring, alerting, logging, and observability across platform services.
Troubleshoot production issues across Kubernetes clusters, infrastructure, CI/CD pipelines, and distributed systems.
Automate repetitive operational tasks using Python, Bash, Ansible, YAML, or similar tools.
Support deployment pipelines and release processes using CI/CD tools such as Harness, GitHub Actions, GitLab, Jenkins, or Azure DevOps.
Assist with rollout patterns such as canary deployments, blue/green releases, and rollback processes.
Support operational processes including patching, upgrades, backups, capacity planning, and incident response.
Work with senior SREs, architects, developers, DevOps, and security teams to improve reliability and scalability.
Contribute to documentation, runbooks, troubleshooting guides, and platform best practices.
Learn and support backend platform components such as Kafka, PostgreSQL, Redis, Vault, MongoDB, and n8n.

Required Qualifications

4+ years of experience in SRE, DevOps, platform engineering, cloud infrastructure, Linux systems, or related technical roles.
Hands-on experience operating or supporting Kubernetes in a production or high-availability environment.
Experience with Terraform or similar infrastructure-as-code tools.
Scripting or automation experience using Python, Bash, Ansible, YAML, or similar.
Experience with monitoring, logging, alerting, or observability tools such as ELK, Zabbix, Prometheus, Grafana, Splunk, Datadog, AppDynamics, or similar.
Experience troubleshooting incidents, performing root cause analysis, and improving reliability after production issues.
Familiarity with CI/CD concepts and deployment automation.
Strong Linux, networking, infrastructure, or cloud troubleshooting skills.
Ability to learn new tools quickly and work effectively in a fast-paced engineering environment.
Strong communication skills and willingness to collaborate with senior engineers, developers, architects, and business stakeholders.

Preferred Qualifications

Experience with GCP, AWS, or Azure cloud environments.
Exposure to GCP/GKE, AWS/EKS, or Azure/AKS.
Experience with Helm charts.
Exposure to Harness, GitHub Actions, GitLab, Jenkins, or Azure DevOps.
Experience with OpenTelemetry, Prometheus, Splunk, AppDynamics, or similar enterprise observability tools.
Exposure to backend systems such as Kafka, PostgreSQL, Redis, MongoDB, or Vault.
Experience supporting AI, ML, LLM, chatbot, conversational AI, or data platform environments.
Experience with security patching, access controls, secrets management, and production governance.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent relevant experience.

Benefits:

401(k)
401(k) matching
Dental insurance
Employee assistance program
Employee discount
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

Application Question(s):

This is a full time fully benefited W2 Employee positions that allows working remotely from your home office in the US- given that what is the salary range you are seeking?

Experience:

ands-on with Terraform, Kubernetes, CI/CD: 5 years (Required)
SRE, DevOps, Infrastructure, Platform, or Cloud Operations: 5 years (Required)
Ai deploying models at scale for SRE related work: 1 year (Preferred)

Work Location: Remote

Quick Apply

Refine Your Search

aws cloud engineer jobs in crane, tx

Site Reliability Engineer – Generative AI Platform

Senior Cloud Solutions Engineer – White Glove (Remote)

Senior Cloud Infrastructure Engineer: Deployments

Senior IAM Engineer: Identity Governance

Other jobs to consider

Explore jobs in cities nearby

I want to receive the latest job alert for aws cloud engineer in crane, tx

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