Dynamodb

Dynamodb Data Jobs

21 jobs found

Today

AWS AI Engineer

Hudson Manpower Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

Today

Full time AI Artificial Intelligence Automation

Apply Now

Job Description

Sunnyvale, CA based with remote option, Hudson Manpower seeks an experienced AWS AI Engineer to design, deploy, and operate AI and ML applications in the cloud, prioritizing retrieval-augmented generation, fine-tuning large language models, and AWS native microservices for enterprise production.

Responsibilities

Act in a hands-on capacity with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Lead the implementation of AWS cloud services across infrastructure, machine learning, and AI platform components.
Develop and scale LLM based applications, incorporating Retrieval-Augmented Generation (RAG) with 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 objectives 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 evolution of reusable platform components for AI and ML operations.
Document technical work thoroughly for the team and internal customers.
Demonstrate strong verbal and written communication in English.

Requirements

7 years of hands-on software engineering experience with a strong focus 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.
Background working with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid track record 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.
Proven success 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 provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid Bench time
Training allowance offering
Eligible to earn referral bonuses

Supervisory Responsibilities

None

View full job page →

Today

AWS AI Engineer

Hudson Manpower New Jersey 🇺🇸 Remote

New Jersey

Today

Full time Amazon Web Services Artificial Intelligence AWS

Apply Now

Job Description

Hudson Manpower is seeking a Senior AI AWS Engineer in New Jersey with remote work options. The role centers on building retrieval-augmented generation (RAG) systems, fine-tuning large language models, and delivering cloud-native AI services within an enterprise AWS environment.

Responsibilities

Hands-on development and operations with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Lead the implementation of AWS cloud services spanning infrastructure, machine learning workflows, and AI platform services.
Develop LLM-based applications, including Retrieval-Augmented Generation (RAG) architectures using LangChain and related 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 and ML operations.
Create and maintain technical documentation for the team and internal customers.
Excellent verbal and written communication skills in English.

Requirements

Seven years of hands-on software engineering experience with a strong focus on Python.
Proficient with AWS services, notably Bedrock or SageMaker.
Familiar 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 experience implementing RAG architectures and LangChain.
Demonstrated experience in Infrastructure as Code best practices and building Terraform modules for AWS.
Strong background in Git-based version control, code reviews, and DevOps workflows.
Proven success delivering production-ready software with release pipeline integration.

Technologies

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

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 offering
Referral bonuses

What you will 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
Referral bonuses

Supervisory responsibilities

None

View full job page →

1d ago

AWS AI Engineer

Hudson Manpower Richmond, VA 🇺🇸 Remote

Richmond, VA

1d ago

Full time Backend Developer AI Ai Workflows

Apply Now

Job Description

This role centers on delivering hands-on AI and cloud engineering in AWS, focusing on retrieval-augmented generation systems, LLM fine-tuning, and deploying AWS native microservices to support automation and governance in production. Based in Richmond, VA with remote work available.

Responsibilities

Hands-on execution of AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Develop LLM-based applications, with Retrieval-Augmented Generation 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.
Manage the software release lifecycle, overseeing CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support the development and evolution of reusable platform components for AI and ML operations.
Create and maintain technical documentation for the team and internal customers.
Demonstrate excellent verbal and written communication skills in English.

Requirements

Minimum seven years of hands-on software engineering experience with a strong emphasis on Python.
Experience with AWS services, notably Bedrock or SageMaker.
Experience fine-tuning large language models or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails, including SCPs and AWS Config.
Strong background implementing RAG architectures and LangChain.
Proven IaC practices and experience building Terraform modules for AWS.
Solid experience with Git-based version control, code reviews, and DevOps workflows.
Track record of delivering production-ready software with integrated release pipelines.

Technologies

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

Benefits

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

What you’ll get

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
Eligibility for referral bonuses

View full job page →

1d ago

AWS AI Engineer

Hudson Manpower San Jose, CA 🇺🇸 Remote

San Jose, CA

1d ago

Full time AI Ai Workflows Artificial Intelligence

Apply Now

Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to lead the hands-on development of AI and ML applications within AWS, with a focus on retrieval-augmented generation, fine-tuning LLMs, and enterprise-grade microservices for automation and governance.

Responsibilities

Hands-on practitioner leveraging AWS core services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Owns the implementation of AWS cloud services spanning infrastructure, machine learning, and AI platform services.
Develops LLM-based applications, including Retrieval-Augmented Generation (RAG) using LangChain and related frameworks.
Builds cloud-native microservices, APIs, and serverless functions to enable intelligent automation and real-time data processing.
Collaborates with internal stakeholders to translate business goals into secure, scalable AI systems.
Owns the software release lifecycle, including CI/CD pipelines, GitHub based SDLC, and infrastructure as code with Terraform.
Supports the development and evolution of reusable platform components for AI/ML operations.
Creates and maintains technical documentation for the team and internal customers.
Excellent verbal and written communication in English.

Requirements

Minimum seven years of hands-on software engineering experience with strong Python expertise.
Proficiency with AWS services, notably Bedrock and SageMaker.
Experience 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.
Strong background in RAG architectures and LangChain.
Proven infrastructure as code practices and Terraform module development for AWS.
Solid Git-based version control, code reviews, and DevOps workflows.
Track record of 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 provided
401(k) with company match and optional profit sharing
Paid vacation time
Paid bench time
Training allowance offering
Eligible for referral bonuses

Supervisory Responsibilities

None

Nice-to-Haves

AWS or relevant cloud certifications
Policy as Code development experience such as 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 including PII handling and secure model deployment

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1d ago

Senior Data Engineer (Top Secret Cleared)

Gridiron IT Solutions LLC Washington, DC

Washington, DC

1d ago

$110k - $170k/yr Full time Senior Apache Airflow AWS

Apply Now

Job Description

The Senior Data Engineer will design, implement, and optimize data pipelines and governance for government-facing data solutions, collaborating with stakeholders and IT teams to deliver scalable data architectures within a Top Secret/DHS EOD context.

Responsibilities

Identify, design, and implement internal process improvements to increase scalability, optimize data delivery, and automate manual processes.
Develop and design data pipelines to support end-to-end solutions.
Create and maintain artifacts such as schemas, data dictionaries, and ETL transforms.
Integrate data pipelines with AWS cloud services to extract actionable insights.
Engage with stakeholders to support data infrastructure needs and resolve data-related technical issues.
Design robust dataflows to support both raw data and expected data.
Provide Tier 3 technical support for deployed applications and dataflows.
Define and communicate a clear product vision aligned with user needs and business objectives.
Create and manage product roadmaps reflecting innovation and growth strategies.
Collaborate with a government product owner and a product team of 7-8 FTEs.
Work with the data engineering team to design and launch new features.
Coordinate and document dataflows and capabilities.
Occasionally support off-hours deployments, including evenings or weekends, as needed.

Requirements

Bachelor’s degree with 4 years of related professional experience.
Expertise in distributed computing frameworks for large-scale data processing.
Familiarity with Amazon Web Services or other cloud environments.
Experience with datastores such as PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch, and SQL.
Proficient in Python with libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.
Working knowledge of Docker, Kubernetes, JMS/SQS, SNS and Kafka.
Familiar with Linux/Unix server environments.
Experience with Agile development methodology.
Publishing and/or presenting design reports.
Coordinating with other team members to reach project milestones and deadlines.
Working knowledge of collaboration tools such as Jira and Confluence.

Technologies

Python
pandas
PySark
NiFi
Airflow
Amazon Web Services (AWS)
AWS Lambda
Docker
Kubernetes
JMS/SQS
SNS
Kafka
Linux/Unix
Jira
Confluence
PostgreSQL
S3
Redshift
MongoDB
DynamoDB
Redis
Elasticsearch/OpenSearch
SQL

Benefits

401(k) matching
Dental insurance
Health insurance
Life insurance
Vision insurance

Preferred Qualifications

Master’s degree or equivalent experience in a related field.
Familiarity and experience with the Intelligence Community (IC) and the intel workflow.
Familiarity and experience with the Department of Homeland Security (DHS).
Direct experience with DHS and IC component data architectures and environments, with IC-GovCloud experience preferred.
Experience with cloud message APIs and push notifications.
Strong interest in applying new tools and technologies to solve national security problems.
Working knowledge of public keys and digital certificates.
Experience in DevOps environments.
Expertise with a range of COTS, GOTS, and open source tools for data integration and visualization.
Specialization in object oriented programming languages, scripting, and databases.

Pay

Salary range: $110,000 - $170,000 per year. Compensation is determined by factors including location, experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Work Location

Hybrid remote in Washington, DC 20590

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2d ago

AWS AI Engineer

Hudson Manpower Buffalo Grove, IL 🇺🇸 Remote

Buffalo Grove, IL

2d ago

Full time AI Amazon Web Services Artificial Intelligence

Apply Now

Job Description

Hudson Manpower is looking for a Senior AWS AI Engineer to design and deliver production-grade AI and ML services on AWS, with a focus on retrieval-augmented generation and fine-tuning large language models. The role supports enterprise automation and governance through AWS-native microservices, enabling scalable AI solutions across business processes. This position is based in Buffalo Grove, Illinois, with remote work options available.

Responsibilities

Direct, hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3.
Implement AWS cloud services spanning infrastructure, machine learning, and AI platform offerings.
Develop LLM-based applications, incorporating Retrieval-Augmented Generation (RAG) with 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-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.
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, SageMaker, ECS, and Lambda.
Familiarity with AWS Organizations and policy guardrails (SCP, AWS Config).
Experience with Retrieval-Augmented Generation (RAG) architectures and using LangChain and similar frameworks.
Proficiency in fine-tuning large language models, building datasets, and deploying ML models to production.
Strong background in Infrastructure as Code best practices with experience building Terraform modules for AWS.
Solid experience with Git-based version control, code reviews, and DevOps workflows.
Proven track record of delivering production-ready software with release pipeline integration.

Technologies

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

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
Referral bonuses

Minimum Knowledge, Skills, and Abilities Required

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 or building datasets and deploying ML models to production.
Experience with AWS Organizations and policy guardrails (SCP, AWS Config).
Solid background in implementing RAG architectures and LangChain.
Experience with Infrastructure as Code practices and Terraform module development for AWS.
Strong 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 such as 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)

What You’ll Get

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
Eligibility for referral bonuses

View full job page →

3d ago

AWS AI Engineer

Hudson Manpower Pittsburgh, PA 🇺🇸 Remote

Pittsburgh, PA

3d ago

Full time AI Amazon Web Services Artificial Intelligence

Apply Now

Job Description

Hudson Manpower is seeking a Senior AWS AI Engineer to architect and operate production AI/ML applications on AWS, with a focus on retrieval-augmented generation, fine-tuning large language models, and cloud-native microservices. The role centers on delivering secure AI services that integrate with live infrastructure data, built to scale and operate within live environments. The position is based in Pittsburgh, PA with remote work options and requires seven years of hands-on software engineering experience.

Responsibilities

Hands-on work with AWS services including Lambda, Bedrock, SageMaker, Step Functions, DynamoDB, and S3 to implement cloud infrastructure, machine learning features, and AI platform capabilities.
Own the deployment of AWS cloud services, spanning infrastructure, ML workflows, and AI platform services.
Develop and maintain LLM based applications, including 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.
Collaborate with internal stakeholders to translate business goals into secure, scalable AI systems.
Manage the software release lifecycle, including CI/CD pipelines, GitHub-based SDLC, and infrastructure as code with Terraform.
Support a reusable set of platform components for AI/ML operations and their evolution.
Create and maintain technical documentation for the team and internal customers.
Provide clear verbal and written communication in English.

Requirements

Seven 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 or building datasets and deploying ML models to production.
Experience navigating AWS organizations and policy guardrails such as SCP and AWS Config.
Solid track record implementing RAG architectures and using LangChain.
Proven 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.
Proven success delivering production-ready software with release pipeline integration.

Technologies

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

Top Skills

Experience with AWS services including Bedrock, SageMaker, ECS, and Lambda
Strong knowledge of AWS organizations and policy guardrails (SCP, AWS Config)
Proficiency in implementing RAG architectures and using ML tooling such as Transformers, PyTorch, TensorFlow, and LangChain
Infrastructure as Code best practices and building Terraform modules for AWS
Fine-tuning large language models, building datasets, and deploying ML models to production
Git-based version control, code reviews, and DevOps workflows
AWS or relevant cloud certifications
Data privacy and compliance best practices, including secure model deployment
Data science background or experience with structured and unstructured data
Exposure to FinOps and cloud cost optimization
Hugging Face, Node.js
Policy as Code development (Terraform Sentinel)