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Full Stack Network Associate Jobs in Connecticut

Paramount

Associate Producer

Stamford, CT · On-site

Golazo Network Associate Producer About Us: CBS Sports, a year-round leader in cross-platform ... full slate of original programming and studio coverage. CBS Sports is also a leader in digital ...

TEKsystems

Desktop Support

New Haven, CT

$20 - $25/hr

Serves as generalist responsible for providing broad range of user support services, network ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Pwc

AI Solutions Engineering Delivery Lead

Hartford, CT

$103K - $136K/yr

You cultivate the potential in others and actively team across the PwC Network, understanding ... full-stack AI solutions. As a senior technical leader, you will leverage deep technical ...

Pwc

AI Solutions Engineering Delivery Lead

Stamford, CT

$109K - $143K/yr

You cultivate the potential in others and actively team across the PwC Network, understanding ... full-stack AI solutions. As a senior technical leader, you will leverage deep technical ...

Harris

$90K - $110K/yr

The position is a true full-stack role, and the successful candidate will have the opportunity to add-value across the entire acquisition lifecycle (researching, meeting with prospects, analyzing ...

TEKsystems

Cable Technician

Hartford, CT

$20 - $30/hr

Test and troubleshoot network cabling systems * Read and interpret blueprints, floor plans, and ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

TEKsystems

Infrastructure Engineer

Hartford, CT · Hybrid

$144K - $170K/yr

... networking, Office 365 services, Linux and Windows servers, security controls, automation, and ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

New

TEKsystems

Infrastructure Engineer

Hartford, CT · Hybrid

$144K - $170K/yr

... networking, Office 365 services, Linux and Windows servers, security controls, automation, and ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

New

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All JobsFull Stack Network Associate JobsFull Stack Network Associate Jobs in Connecticut

Full Stack Network Associate information

What is a full stack network associate?

A Full Stack Network Associate is an IT professional skilled in both the configuration and management of network infrastructure (such as routers, switches, and firewalls) and the development or maintenance of network-related software and interfaces. They bridge the gap between traditional networking and modern software deployment, often working with both hardware and network automation tools. Their responsibilities can include network design, troubleshooting, security implementation, and sometimes writing code to automate network tasks or integrate with cloud platforms. This role is valuable in organizations that require both solid network foundations and agile, software-driven network management.

What is the difference between Full Stack Network Associate vs Network Technician?

AspectFull Stack Network AssociateNetwork Technician
CertificationsCompTIA Network+, Cisco CCNA, Cisco CCNP (preferred)CompTIA Network+, Cisco CCNA
Work EnvironmentDesign, implement, and troubleshoot network and application infrastructureInstall, maintain, and repair network hardware and connections
Job FocusBoth network infrastructure and application layer developmentPrimarily hardware and network connectivity issues
Industry UsageIT, telecommunications, cloud servicesIT support, enterprise networks, service providers

The Full Stack Network Associate combines network infrastructure skills with application development, requiring broader technical knowledge. In contrast, a Network Technician focuses mainly on hardware and connectivity issues. Both roles often share certifications like CompTIA Network+ and Cisco CCNA, but the Full Stack Network Associate's responsibilities extend into software and system integration, making it suitable for roles that demand a comprehensive understanding of network and application layers.

What are the key skills and qualifications needed to thrive as a full stack network associate?

To thrive as a Full Stack Network Associate, you need a solid understanding of networking fundamentals, protocols, and troubleshooting, typically backed by a relevant degree or certifications like CompTIA Network+ or Cisco CCNA. Familiarity with network monitoring tools, configuration management systems, and scripting languages such as Python is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals excel in this role. These skills ensure the secure, reliable, and efficient operation of network infrastructure, which is critical for business continuity.

What are some common challenges full stack network associates face when supporting both front-end and back-end network systems?

Full Stack Network Associates often juggle responsibilities across multiple layers of network infrastructure, such as troubleshooting connectivity issues, managing network security, and configuring both hardware and software components. One common challenge is staying updated with diverse technologies, as the role may involve everything from configuring routers and switches to supporting cloud-based networking solutions. Effective communication and collaboration with cross-functional teams—like security, systems administration, and development—are essential to resolve issues swiftly and maintain network reliability. Adapting to rapidly evolving network protocols and security threats is also a key part of the job, making continuous learning critical for success.
What are popular job titles related to Full Stack Network Associate jobs in Connecticut? For Full Stack Network Associate jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Full Stack Network Associate jobs in Connecticut look for? The top searched job categories for Full Stack Network Associate jobs in Connecticut are:
What cities in Connecticut are hiring for Full Stack Network Associate jobs? Cities in Connecticut with the most Full Stack Network Associate job openings:
Full Stack Network Associate jobs near you
Infographic showing various Full Stack Network Associate job openings in Connecticut as of June 2026, with employment types broken down into 1% As Needed, 44% Full Time, 48% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Manager - GenAI Full Stack Developer

Deloitte

Stamford, CT • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on July 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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