Top 605 Infrastructure engineer Jobs in Connecticut

AI Infrastructure Engineer
dicedemo —Boston, CT
- $130,000 a year
- Full-time
- Mid-level
- 3 years
- Linux
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3d
Infrastructure Engineer
Therap Services Llc —Torrington, CT
- $110,000 - $160,000 a year
- Full-time
- Computer science
- Oracle
- Computer Science
Quick Apply
Project Engineer
AGC/ GarKenyon —Meriden, CT
- Full-time
- Background check
- Bachelor of Science
- Engineering
- Health savings account
- Disability insurance
Quick Apply
4d
Equipment Engineer Wet Processes
ASML —Wilton, CT
- Full-time
- 6 years
- Bachelor of Science
- Analysis skills
13d
Mechanical Design Engineer – High-Impact Manufacturing | Naval Defense and Nuclear Power
BNL Industries, Inc. —Vernon, CT
- $80,000 - $110,000 a year
- Full-time
- Background check
- Bachelor of Science
- Mid-level
- Health insurance
- Dental insurance
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Process Improvement Engineer – Manufacturing Facilities
ASML —Wilton, CT
- Full-time
- Analysis skills
- Organizational skills
- Senior level
Transportation Engineer
Freeman Companies, LLC —Hartford, CT
- From $110,000 a year
- Full-time
- Hybrid work
- Analysis skills
- Driver's License
- Bachelor's degree
- Health savings account
- Disability insurance
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Project Engineer
Rightclick —Stamford, CT
- $80,000 a year
- 5 years
- In-person
- Senior level
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Substation Senior Civil/Structural Engineer
Leidos —Hartford, CT
- $92,300 - $166,850 a year
- Full-time
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Bachelor of Science
Water and Sewer Authority Assistant Superintendent
Town of Watertown, CT —Oakville, CT
- $103,000 a year
- Full-time
- Background check
- Microsoft Excel
- CAD
- Health insurance
- Dental insurance
Security Network Engineer
Columbia Consulting Group —Milford, CT
- $52 an hour
- Full-time
- Customer service
- 5 years
- In-person
- 401(k)
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13d
System & Cloud Engineer II - Req# 608
COCC —Rocky Hill, CT
- $72,800 - $109,200 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Wellness program
- Tuition reimbursement
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Field Engineer
The Middlesex Corporation —Norwalk, CT
- Full-time
- Construction site
- Mid-level
- Driver's License
- Health savings account
- Health insurance
Quick Apply
12d
Cloud Engineer
ASML —Wilton, CT
- $80,800 - $111,100 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid holidays
- Health insurance
IT Project Engineer
J. Morrissey —Glastonbury, CT
- $100,000 - $120,000 a year
- Overtime
- Azure
- 5 years
- Windows
Quick Apply
Sr Software Engineer
Travelers —Hartford, CT
- $139,400 - $230,000 a year
- Azure
- Computer Science
- 5 years
- Wellness program
- Paid holidays
Principal Engineer-Commercial Nuclear (Remote)
Leonardo DRS —Danbury, CT
- Full-time
- Remote
- Microsoft Excel
- Laboratory experience
- 8 years
- Paid parental leave
- Health savings account
Junior Civil Engineer
VN Engineers, Inc. —North Haven, CT
- $32 - $40 an hour
- Full-time
- Schematics
- Construction site
- In-person
- Health savings account
- Disability insurance
Quick Apply
10d
Electrical Engineer
Cenergy International —Stratford, CT
- $50 - $75 an hour
- Contract
- Mid-level
- In-person
- Electrical Engineering
Quick Apply
3d
Senior Cybersecurity Engineer
HomeServe USA —Norwalk, CT
- $125,932.60 - $167,910.14 a year
- Computer Science
- Research
- Office
Quick Apply

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infrastructure engineer jobs near connecticut

AI Infrastructure Engineer

dicedemo
Boston, CT

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Job Details

Full-time
$130,000 a year
3 days ago

Qualifications

Containerization systems
Performance monitoring
Software deployment
Infrastructure as Code (IaC)
Infrastructure architecture design
IT monitoring tools
Cloud networking
Monitoring system implementation
Cloud Architecture Design (Architecture design skills)
Linux
Cloud automation
Distributed computing
DevOps automation
Cloud monitoring

Full Job Description

Job Description

AI Infrastructure Engineer
Position Overview
We are seeking an AI Infrastructure Engineer to design, build, and scale the infrastructure that powers our artificial intelligence and machine learning workloads. This role sits at the intersection of AI/ML, cloud infrastructure, distributed systems, and DevOps/MLOps.
The ideal candidate has experience building highly available, scalable infrastructure for training, deploying, and operating machine learning and generative AI applications. You will partner closely with Machine Learning Engineers, Data Scientists, Software Engineers, and Platform Engineering teams to ensure AI workloads can run reliably, securely, and efficiently at scale.
Key Responsibilities
Design, build, and maintain scalable infrastructure for AI, machine learning, and Generative AI workloads
Build and manage cloud infrastructure across AWS, Azure, and/or Google Cloud Platform
Deploy and operate GPU-based compute environments for model training and inference
Design infrastructure supporting LLMs, model training, fine-tuning, inference, and AI applications
Build and manage containerized workloads using Docker and Kubernetes
Develop infrastructure-as-code using tools such as Terraform, CloudFormation, or Pulumi
Build CI/CD and MLOps pipelines supporting model development and deployment
Optimize GPU/CPU utilization, infrastructure performance, scalability, and cloud costs
Implement monitoring, logging, observability, and alerting for AI infrastructure and services
Support distributed training and high-performance computing environments
Build secure, highly available systems capable of supporting production AI workloads
Partner with ML Engineers and Data Scientists to move models from experimentation into production
Troubleshoot infrastructure, networking, performance, and deployment issues
Evaluate emerging AI infrastructure technologies and recommend improvements to the platform
Required Qualifications
3+ years of experience in Cloud Infrastructure, DevOps, Platform Engineering, SRE, MLOps, or AI/ML Infrastructure
Strong experience with at least one major cloud platform: AWS, Azure, or GCP
Experience with Kubernetes and Docker
Experience with Infrastructure-as-Code tools such as Terraform
Strong scripting/programming skills in Python, Bash, Go, or similar languages
Experience building CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or similar
Knowledge of networking, Linux systems, distributed computing, and cloud architecture
Experience implementing monitoring and observability solutions
Understanding of machine learning development and deployment workflows
Preferred Qualifications
Experience managing GPU infrastructure, including NVIDIA GPUs and CUDA environments
Experience with AI/ML frameworks such as PyTorch, TensorFlow, JAX, or Hugging Face
Experience supporting LLM training, fine-tuning, RAG, or inference workloads
Experience with MLOps platforms such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure Machine Learning
Experience with distributed training technologies such as Ray, DeepSpeed, PyTorch Distributed, or Horovod
Familiarity with AI inference technologies such as vLLM, NVIDIA Triton, or TensorRT
Experience managing Kubernetes-based GPU clusters
Understanding of model serving, vector databases, and modern Generative AI architecture
Experience optimizing infrastructure for performance and cloud/GPU cost efficiency
What Success Looks Like
In this role, you will help create the infrastructure foundation that allows AI teams to experiment faster, train models efficiently, deploy AI applications reliably, and scale them into production. You will reduce friction between AI development and production while improving reliability, performance, security, and infrastructure cost.
,
Required Skills

3+ years of experience in Cloud Infrastructure, DevOps, Platform Engineering, SRE, MLOps, or AI/ML Infrastructure
Strong experience with at least one major cloud platform: AWS, Azure, or GCP
Experience with Kubernetes and Docker
Experience with Infrastructure-as-Code tools such as Terraform
Strong scripting/programming skills in Python, Bash, Go, or similar languages
Experience building CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or similar
Knowledge of networking, Linux systems, distributed computing, and cloud architecture
Experience implementing monitoring and observability solutions
Understanding of machine learning development and deployment workflows
,
Desired Skills

Experience managing GPU infrastructure, including NVIDIA GPUs and CUDA environments
Experience with AI/ML frameworks such as PyTorch, TensorFlow, JAX, or Hugging Face
Experience supporting LLM training, fine-tuning, RAG, or inference workloads
Experience with MLOps platforms such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure Machine Learning
Experience with distributed training technologies such as Ray, DeepSpeed, PyTorch Distributed, or Horovod
Familiarity with AI inference technologies such as vLLM, NVIDIA Triton, or TensorRT
Experience managing Kubernetes-based GPU clusters
Understanding of model serving, vector databases, and modern Generative AI architecture
Experience optimizing infrastructure for performance and cloud/GPU cost efficiency
,
About dicedemo

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Refine Your Search

infrastructure engineer jobs in connecticut

AI Infrastructure Engineer

Infrastructure Engineer

Project Engineer

Equipment Engineer Wet Processes

Mechanical Design Engineer – High-Impact Manufacturing | Naval Defense and Nuclear Power

Process Improvement Engineer – Manufacturing Facilities

Transportation Engineer

Project Engineer

Substation Senior Civil/Structural Engineer

Water and Sewer Authority Assistant Superintendent

Security Network Engineer

System & Cloud Engineer II - Req# 608

Field Engineer

Cloud Engineer

IT Project Engineer

Sr Software Engineer

Principal Engineer-Commercial Nuclear (Remote)

Junior Civil Engineer

Electrical Engineer

Senior Cybersecurity Engineer

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