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Internship Data Center Infrastructure Engineer Jobs in Connecticut

Cloud Infrastructure Engineer III - Workplace Engineering/M365 AI & Engineering helps organizations build, deploy, and operate integrated solutions across software, data, AI, networks, and hybrid ...

Cloud Infrastructure Engineer III - Workplace Engineering/M365 AI & Engineering helps organizations build, deploy, and operate integrated solutions across software, data, AI, networks, and hybrid ...

We are seeking a Head of Data Engineering for our Chubb North America Personal Lines Data team to drive Tech & Data modernization. With a dual reporting relationship into our Head of Data for North ...

We are seeking a Head of Data Engineering for our Chubb North America Personal Lines Data team to drive Tech & Data modernization. With a dual reporting relationship into our Head of Data for North ...

Sr. Engineer, Electrical Engineering

South Windsor, CT · On-site

$104K - $136K/yr

... the data center market. We are dedicated to helping our clients achieve energy efficiency ... Job Information We are looking for an experienced Senior Electrical Engineer with a specialized ...

Senior Operational Engineer

Hartford, CT · Remote

$105K - $144K/yr

Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery, operational ...

Senior Operational Engineer

Hartford, CT · Remote

$105K - $144K/yr

Sun Life is seeking a highly skilled Senior Operational Engineer to join the Contact Centre Infrastructure Operations (CCIO) team. This team is responsible for the design, delivery, operational ...

Showing results 41-60

Internship Data Center Infrastructure Engineer information

What does an internship data center infrastructure engineer do?

An Internship Data Center Infrastructure Engineer assists with the design, maintenance, and optimization of data center hardware and systems. Interns typically support senior engineers in tasks such as monitoring server performance, troubleshooting network issues, and ensuring the physical and logical security of data center assets. They may also help with documentation, equipment installation, and implementing best practices to maintain high availability and reliability. This role provides hands-on experience with the technologies and processes that keep modern data centers running efficiently.

What types of projects and responsibilities can an internship data center infrastructure engineer expect to work on during their internship?

As an Internship Data Center Infrastructure Engineer, you can expect to participate in a variety of hands-on projects, such as assisting with the installation and maintenance of server hardware, monitoring network performance, and supporting the implementation of cooling and power systems. You'll often work closely with senior engineers and IT teams to troubleshoot issues and optimize data center operations. Interns may also be involved in documenting configurations, conducting inventory audits, and learning about industry best practices for uptime and reliability. This role provides valuable exposure to both the technical and operational aspects of large-scale IT environments, offering a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as an internship data center infrastructure engineer, and why are they important?

To thrive as an Internship Data Center Infrastructure Engineer, you need a solid understanding of networking fundamentals, hardware systems, and power/cooling concepts, typically supported by coursework in computer engineering or related fields. Familiarity with tools like network monitoring software, server management systems, and ticketing platforms is often required. Strong problem-solving, attention to detail, and effective teamwork help you stand out in this collaborative, technical environment. These skills and qualities are crucial for maintaining reliable data center operations and ensuring rapid issue resolution.

What is the difference between Internship Data Center Infrastructure Engineer vs Data Center Technician?

AspectInternship Data Center Infrastructure EngineerData Center Technician
Required CredentialsTypically pursuing or recent graduate in IT, Computer Engineering, or related fieldsHigh school diploma or equivalent; technical certifications preferred
Work EnvironmentOffice and data center facilities, often with supervision and trainingData center floors, hardware setup, maintenance areas
Employer & Industry UsageInternship roles in tech companies, data center providers, or IT departmentsEntry-level technician roles in data centers across various industries

The Internship Data Center Infrastructure Engineer role is typically a training position for students or recent graduates focusing on infrastructure design and planning, while Data Center Technicians handle hardware installation, maintenance, and troubleshooting. The internship offers learning opportunities, whereas technicians perform hands-on operational tasks.

What are the most commonly searched types of Data Center Infrastructure Engineer jobs in Connecticut?

The most popular types of Data Center Infrastructure Engineer jobs in Connecticut are:

What are popular job titles related to Internship Data Center Infrastructure Engineer jobs in Connecticut?

For Internship Data Center Infrastructure Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Internship Data Center Infrastructure Engineer jobs in Connecticut look for?

The top searched job categories for Internship Data Center Infrastructure Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Internship Data Center Infrastructure Engineer jobs?

Cities in Connecticut with the most Internship Data Center Infrastructure Engineer job openings:

Infographic showing various Internship Data Center Infrastructure Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Software Engineer, Data Infrastructure & Acquisition - New Haven, CT, USA

Speechify

New Haven, CT • On-site

$115K - $138K/yr

Full-time

Re-posted 4 days ago


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You'll Do
  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have
  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer
  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.