Terraform Sentinel

Terraform Sentinel Engineer Jobs

4 jobs found

Today

AWS AI Engineer

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Artificial Intelligence Automation

Apply Now

Job Description

The role is for a senior AWS AI Engineer at Hudson Manpower, based in Sunnyvale, California with remote working options. The position centers on developing cloud-native AI/ML applications, with a focus on retrieval-augmented generation, fine-tuning large language models, and deploying AWS-based microservices for an enterprise production environment.

Responsibilities

Hands-on development with AWS services such as Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to build and operate AI/ML workloads.
Lead the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform capabilities.
Work with LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate strong verbal and written communication skills in English.

Requirements

Minimum of 7 years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, particularly Bedrock or SageMaker.
Familiarity with fine-tuning large language models and deploying ML models to production, including dataset creation.
Proven experience with AWS Organizations and policy guardrails such as SCP and AWS Config.
Solid background in implementing Retrieval-Augmented Generation (RAG) architectures and LangChain.
Proficiency in Infrastructure as Code practices and building Terraform modules for AWS cloud environments.
Strong background in Git-based version control, code reviews, and DevOps workflows.
History of delivering production-ready software with integrated release pipelines.

Technologies

AWS Bedrock
AWS SageMaker
AWS Lambda
AWS Step Functions
DynamoDB
S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
Git
Python
Golang
Node.js
Hugging Face
AWS Organizations
AWS Config
SCP

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance offering
Eligibility for referral bonuses

Supervisory Responsibilities

None

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1d ago

AWS AI Engineer

Hudson Manpower San Jose, CA 🇺🇸 Remote

San Jose, CA

1d ago

Full time AI Ai Workflows Artificial Intelligence

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Job Description

Hudson Manpower is seeking a senior AWS AI Engineer to join their San Jose area team with remote work options. The role centers on hands-on development of AI and ML applications in AWS, with a focus on retrieval-augmented generation (RAG), fine-tuning large language models, and building AWS-native microservices to support enterprise automation and governance.

Responsibilities

Hands-on development across AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Own the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Work with LLM-based applications, including RAG approaches using LangChain and similar frameworks.
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate strong English communication skills, both verbal and written.

Requirements

Seven years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, notably Bedrock or SageMaker.
Familiarity with fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails such as SCPs and AWS Config.
Proven ability to implement RAG architectures and work with LangChain.
Experience in infrastructure as code best practices and building Terraform modules for AWS.
Solid background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with integrated release pipelines.

Technologies

Python, Bedrock, SageMaker, Lambda, Step Functions, DynamoDB, S3
LangChain, Transformers, PyTorch, TensorFlow
Terraform, Terraform Sentinel, GitHub
Hugging Face, Node.js, Golang
AWS, SCP, AWS Config

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligible for referral bonuses

Supervisory Responsibilities

None

Nice-to-Haves

AWS or relevant cloud certifications
Policy as Code development experience (eg, Terraform Sentinel)
Experience with Hugging Face, Golang, or Node.js
Exposure to FinOps and cloud cost optimization
Data science background or experience with structured and unstructured data
Awareness of data privacy and compliance best practices (PII handling, secure model deployment)

View full job page →

11d ago

AWS AI Engineer

Hudson Manpower Houston, TX 🇺🇸 Remote

Houston, TX

11d ago

Full time AI Artificial Intelligence Automation

Apply Now

Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to lead production AI and ML initiatives in a cloud-first environment. The role focuses on retrieval-augmented generation, fine-tuning large language models, and building AWS-native microservices, with responsibility for design, delivery, and governance of scalable AI services connected to live data and infrastructure. The position is based in Houston, TX with remote work options.

Responsibilities

Develop and operate RAG systems, fine-tune LLMs, and build AWS-native microservices that enable automation, insights, and governance in an enterprise setting.
Design and deliver scalable, secure services that bring large language models into real-world use, connecting to live infrastructure data, internal documentation, and system telemetry.
Take a hands-on role with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud services across infrastructure, machine learning, and AI platform capabilities.
Work with LLM-based applications, including Retrieval-Augmented Generation using LangChain and related frameworks.
Develop cloud-native microservices, APIs, and serverless functions to support intelligent automation and real-time data processing.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Own the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Contribute to the development and evolution of reusable platform components for AI/ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate strong communication skills in English, both written and spoken.

Requirements

Seven years of hands-on software engineering experience with a strong emphasis on Python.
Proficient with AWS services, particularly Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Familiarity with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid experience implementing RAG architectures and LangChain.
Experience with Infrastructure as Code best practices and building Terraform modules for AWS.
Strong background in Git-based version control, code reviews, and DevOps workflows.
History of delivering production-ready software with release pipeline integration.

Technologies

Python
AWS Bedrock
AWS SageMaker
AWS Lambda
AWS Step Functions
AWS DynamoDB
AWS S3
AWS Config
ECS
Terraform
LangChain
Transformers
PyTorch
TensorFlow
Terraform Sentinel
Git
Hugging Face
Node.js
Golang

Benefits

Competitive base salary
Medical, dental, and vision insurance coverage
Optional life and disability insurance provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance
Eligibility for referral bonuses

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 with structured/unstructured data
Awareness of data privacy and compliance best practices, including PII handling and secure model deployment

View full job page →

12d ago

AWS AI Engineer

Hudson Manpower Pittsburgh, PA 🇺🇸 Remote

Pittsburgh, PA

12d ago

Full time AI Amazon Web Services Artificial Intelligence

Apply Now

Job Description

Hudson Manpower is seeking a Sr AI AWS Engineer to drive production grade AI and ML initiatives on AWS. The role centers on building retrieval-augmented generation systems, fine-tuning large language models, and delivering AWS native microservices that enable enterprise automation, governance, and actionable insights. You will join an impact-focused, collaboration-driven team that values real data, secure design, and measurable outcomes. Location: Pittsburgh, PA with remote work options.

Benefits

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 offered
Eligibility for referral bonuses

Responsibilities

Hands-on development with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3
Implement and operate AWS cloud services spanning infrastructure, machine learning, and AI platform capabilities
Work with LLM based applications and Retrieval-Augmented Generation (RAG) using LangChain and related frameworks
Build cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing
Partner with internal stakeholders to translate business goals into secure, scalable AI systems
Own the software release lifecycle, including CI/CD pipelines, GitHub SDLC processes, and infrastructure as code with Terraform
Contribute to reusable platform components for AI/ML operations
Create and maintain technical documentation for the team and internal customers
Communicate effectively in English, both verbally and in writing

Requirements

7 years of hands-on software engineering experience with a strong focus on Python
Experience with AWS services, especially Bedrock or SageMaker
Familiarity with fine-tuning large language models or building datasets and deploying ML models to production
Demonstrated experience with AWS Organizations and policy guardrails (SCP, AWS Config)
Solid background implementing RAG architectures and LangChain
Proven experience with Infrastructure as Code and building Terraform modules for AWS
Strong Git-based version control, code reviews, and DevOps workflows
Track record of delivering production-ready software with release pipeline integration

Nice to Have

AWS or relevant cloud certifications
Policy as Code development experience (e.g., Terraform Sentinel)
Experience with Hugging Face, Golang, or Node.js
Exposure to FinOps and cloud cost optimization
Data science background or experience with structured and unstructured data
Awareness of data privacy and compliance best practices (PII handling, secure model deployment)

Technologies

Python
AWS Bedrock
AWS SageMaker
AWS Lambda
AWS Step Functions
AWS DynamoDB
AWS S3
LangChain
Transformers
PyTorch
TensorFlow
Terraform
Terraform Sentinel
Node.js
Hugging Face
Golang
Git
GitHub

Location

Pittsburgh, PA, with remote work options available.

View full job page →

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