Top 76 Cloud engineer Jobs in Temple, Tx

AWS AI Engineer / USC and GC Candidates can ONLY Apply
Hudson Manpower —Temple, TX
- Full-time
- Remote
- 7 years
- System design
- English
- Profit sharing
- Paid training
Quick Apply
Senior Windows Administator / Platform Engineer IV
Hudson Manpower —Temple, TX
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Profit sharing
- Paid training
Quick Apply
Substation Senior Structural Engineer
Leidos —Texas
- $73,450 - $132,775 a year
- Full-time
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Bachelor of Science
22h
Sr. Data Engineer
Mclane Company, Inc. —Temple, TX
- Full-time
- Hybrid work
- Background check
- Computer science
- Computer Science
- Profit sharing
- Health savings account
Sr Platform Engineer
Mclane Company, Inc. —Temple, TX
- Full-time
- Hybrid work
- Background check
- Azure
- Computer Science
- Profit sharing
- Health savings account
Senior Water/Wastewater Engineer
MRB GROUP —Temple, TX
- Full-time
- Hybrid work
- Bachelor of Science
- 8 years
- Business development
- Health savings account
- AD&D insurance
Senior W/WW Engineer/Project Manager
MRB Group —Temple, TX
- Full-time
- Office
- Mentoring
- Contracts
Quick Apply
Sr. Environmental Engineer
SpaceX —McGregor, TX
- Extended hours
- 5 years
- Bachelor's degree
- In-person
Sr. Environmental Health & Safety Engineer
SpaceX —McGregor, TX
- Extended hours
- Microsoft Excel
- Microsoft Outlook
- 5 years
Sr. Electrical Engineer (Power Systems)
SpaceX —McGregor, TX
- Extended hours
- 6 years
- Construction site
- Driver's License
Sr. Process Controls Engineer for Water
TraC-n-trol —Jarrell, TX
- Up to 50% travel
- Pass drug screening
- System design
- Travel reimbursement
- Health savings account
Quick Apply
Senior VCF 9 Architects & Deployment Engineers – VCF Automation | VKS | AVI
IntegraTouch —United States
- $175,000 - $250,000 a year
- Urgently hiring
- Remote
- Mentoring
- 1 year
- Senior level
- Health savings account
- Relocation assistance
Quick Apply
Senior Data Engineer Consultant (AI-Forward, Kafka + Databricks)
Proactive Logic Consulting Inc —United States
- $75 - $105 an hour
- Contract
- Remote
- DevOps
- HIPAA
- SQL
Quick Apply
Senior Rail Engineer - Remote
Tri Innovations US —United States
- Full-time
- Remote
- Civil engineering
- Mentoring
- US work authorization
Quick Apply
11d
Senior Network Engineer - CONUS
Computer World Services —United States
- Full-time
- Hybrid work
- Windows
- Bachelor's degree
- Mentoring
GCP DevOps Engineer - AI trainer
micro1 —United States
- $200,000 - $300,000 a year
- Contract
- Remote
- Azure
- AWS
- Analysis skills
- Paid time off
- 401(k) matching
12d
Red Hat OpenShift / Kubernetes Engineer
Vibotek LLC —United States
- Contract
- Remote
- Azure
- 8 years
- AWS
Quick Apply
Sr. Mainframe Systems Programmer & Python Engineer
Vibotek LLC —United States
- Contract
- Computer Science
- Bachelor of Science
- System design
Quick Apply
Senior AI Engineer - Agentic Systems and LLM
Vytwo —United States
- $60 an hour
- Full-time
- Remote
- System design
- 3 years
- Senior level
Quick Apply
Senior Electrical Commissioning Engineer (Data Centers)
CAI —United States
- $91,300 - $107,300 a year
- Full-time
- Hybrid work
- Microsoft Word
- Construction site
- Customer service
- Disability insurance
- Health insurance
Quick Apply

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cloud engineer jobs near temple, tx

AWS AI Engineer / USC and GC Candidates can ONLY Apply

Hudson Manpower
Temple, TX

Quick Apply

Job Details

Full-time

Benefits

Profit sharing
Paid training
Disability insurance
Health insurance
Dental insurance
Vision insurance
401(k) matching
Referral program

Qualifications

AI models
Function as a Service (FaaS)
Software engineering
Tooling
Infrastructure as Code (IaC)
Amazon ECS
Software implementation
Amazon SageMaker
Generative models
Application deployment
AI platforms (beyond public GPTs)
Computational framework
Enterprise software systems development
Production systems
Machine learning cloud services
Machine intelligence
Model deployment
Version control systems
Terraform
Developing large-scale AI models
System deployment
Cloud automation
Cloud solution engineering
DevOps automation
Machine learning libraries
Machine learning frameworks
MLOps
Generative AI
Providing code feedback
AWS Lambda

Full Job Description

Job Title: AWS AI Engineer

Location: REMOTE USA

TOP SKILLS:
Must Have

AWS services- Bedrock, SageMaker, ECS and Lambda

Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config)

Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain

Experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud

Fine-tuning large language models, building datasets and deploying ML models to production

Git-based version control, code reviews, and DevOps workflows

Nice To Have

AWS or relevant cloud certifications

Data privacy and compliance best practices (e.g., PII handling, secure model deployment)

Data science background or experience working with structured/unstructured data

Exposure to FinOps and cloud cost optimization

Hugging Face, Node.js

Policy as Code development (I.e. Terraform Sentinel)

What You’ll Do

GENERAL FUNCTION:
We are hiring a Sr AI AWS Engineer who has actually built AI/ML applications in cloud—not just read about them. This role centers on hands-on development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an enterprise environment. You’ll design and deliver scalable, secure services that bring large language models into real operational use—connecting them to live infrastructure data, internal documentation, and system telemetry.

You’ll be part of a high-impact team pushing the boundaries of cloud-native AI in a real-world enterprise setting. This is not a prompt-engineering sandbox or a resume keyword trap. If you’ve merely dabbled in BedRock, mentioned RAG on LinkedIn, or read about vector search—this isn’t the right fit. We’re looking for candidates who have architected, developed, and supported AI/ML services in production environments.

This is a builder’s role within our Public Cloud AWS Engineering team. We aren’t hiring buzzword lists or conference attendees. If you’ve built something you’re proud of—especially if it involved real infrastructure, real data, and real users—we’d love to talk. If you’re still learning, that’s great too—but this isn’t an entry-level role or a theory-only position.

DUTIES AND RESPONSIBILITIES:
Hands-on role using AWS (Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, S3).

Responsible for the implementation of AWS cloud services including infrastructure, machine learning, and artificial intelligence platform services.

Experience with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and other frameworks.

Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.

Collaborate with internal stakeholders to understand business goals and translate them into secure, scalable AI systems.

Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code (Terraform).

Support the development and evolution of reusable platform components for AI/ML operations.

Create and maintain technical documentation for the team to reference and share with our internal customers.

Excellent verbal and written communication skills in English.

SUPERVISORY RESPONSIBILITIES: None

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
7 years of hands-on software engineering experience with a strong focus on Python.

Experienced with AWS services, especially Bedrock or SageMaker

Familiar with fine-tuning large language models or building datasets and/or deploying ML models to production.

Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config).

Solid experience implementing RAG architectures and LangChain.

Demonstrated experience in Infrastructure as Code best practices and experience with building Terraform modules for AWS cloud.

Strong background in Git-based version control, code reviews, and DevOps workflows.

Demonstrated success delivering production-ready software with release pipeline integration.

Nice-to-Haves:
AWS or relevant cloud certifications.

Policy as Code development (e.g., Terraform Sentinel).

Experience with Hugging Face, Golang, or Node.js.

Exposure to FinOps and cloud cost optimization.

Data science background or experience working with structured/unstructured data.

Awareness of data privacy and compliance best practices (e.g., PII handling, secure model deployment).

What You’ll Get

Competitive base salary

Medical, dental, and vision insurance coverage

Optional life and disability insurance provided

401(k) with a company match and optional profit sharing

Paid vacation time

Paid Bench time

Training allowance offering

You’ll be eligible to earn referral bonuses!

Quick Apply

Refine Your Search

cloud engineer jobs in temple, tx

AWS AI Engineer / USC and GC Candidates can ONLY Apply

Senior Windows Administator / Platform Engineer IV

Substation Senior Structural Engineer

Sr. Data Engineer

Sr Platform Engineer

Senior Water/Wastewater Engineer

Senior W/WW Engineer/Project Manager

Sr. Environmental Engineer

Sr. Environmental Health & Safety Engineer

Sr. Electrical Engineer (Power Systems)

Sr. Process Controls Engineer for Water

Senior VCF 9 Architects & Deployment Engineers – VCF Automation | VKS | AVI

Senior Data Engineer Consultant (AI-Forward, Kafka + Databricks)

Senior Rail Engineer - Remote

Senior Network Engineer - CONUS

GCP DevOps Engineer - AI trainer

Red Hat OpenShift / Kubernetes Engineer

Sr. Mainframe Systems Programmer & Python Engineer

Senior AI Engineer - Agentic Systems and LLM

Senior Electrical Commissioning Engineer (Data Centers)

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