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Kit Manager Jobs in Connecticut (NOW HIRING)

Summit Fire & Security

Inspector

Middletown, CT · On-site

$57/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proper use and operation of tools required to complete the inspection (heat and smoke detector kit ... While this is intended to be an accurate reflection of the position, management reserves the right ...

Element Solutions Inc

Kitting Operator I

West Haven, CT · On-site

$17 - $20.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Ensure that all required parts and tools are gathered in the correct quantities for each kit ... We do this through a strong and unified culture and transparent management, which has empowered us ...

Summit Fire & Security

Inspector

Hartford, CT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proper use and operation of tools required to complete the inspection (heat and smoke detector kit ... While this is intended to be an accurate reflection of the position, management reserves the right ...

Element Solutions

Kitting Operator I

West Haven, CT · On-site

$17 - $20.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Ensure that all required parts and tools are gathered in the correct quantities for each kit ... We do this through a strong and unified culture and transparent management, which has empowered us ...

Element Solutions Inc

Kitting Operator I

West Haven, CT · On-site

$17 - $20.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Ensure that all required parts and tools are gathered in the correct quantities for each kit ... We do this through a strong and unified culture and transparent management, which has empowered us ...

Summit Companies

Inspector

Hartford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proper use and operation of tools required to complete the inspection (heat and smoke detector kit ... While this is intended to be an accurate reflection of the position, management reserves the right ...

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Showing results 41-60

All JobsKit JobsKit Manager JobsKit Manager Jobs in Connecticut

Kit Manager information

See Connecticut salary details

$25.7K

$68.5K

$112.3K

How much do kit manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for kit manager in Connecticut is $68,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $88,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a kit manager, and why are they important?

To thrive as a Kit Manager, strong organizational skills, attention to detail, and experience in inventory management or logistics are essential, often supported by a background in sports management or related fields. Familiarity with inventory tracking software, asset management systems, and basic budgeting tools is typically required. Excellent communication, problem-solving abilities, and time management help a Kit Manager coordinate effectively with coaches, players, and suppliers. These skills ensure the timely provision, maintenance, and accountability of equipment, directly supporting team performance and operational efficiency.

What is the difference between Kit Manager vs Equipment Coordinator?

AspectKit ManagerEquipment Coordinator
CredentialsOften requires logistics or supply chain certificationsSimilar certifications, with focus on equipment management
Work EnvironmentPrimarily in sports, film, or event settings managing kitsIn various industries, overseeing equipment logistics
Employer & IndustrySports teams, film productions, event companiesManufacturing, event planning, media production
Search & Comparison IntentUnderstanding roles in kit managementComparing equipment handling roles

The Kit Manager and Equipment Coordinator roles share similarities in managing supplies and equipment, often requiring related certifications. While the Kit Manager typically focuses on managing sports, film, or event kits, the Equipment Coordinator has a broader scope across various industries. Both roles involve logistics, inventory control, and coordination, but their specific environments and industry applications differ.

What are some common challenges kit managers face when coordinating equipment for large events or productions?

Kit Managers often encounter challenges such as last-minute changes to equipment lists, tight turnaround times between events, and ensuring all kit items are in perfect working order. Effective organization and clear communication with production teams are crucial to meet shifting needs and prevent equipment shortages or delays. Additionally, Kit Managers must be adept at troubleshooting on-site and prioritizing tasks to keep operations running smoothly, especially during high-pressure periods.

What qualifications do you need to be a kit manager?

A kit manager typically needs a high school diploma or equivalent, along with experience in inventory management, logistics, or related fields. Strong organizational skills, attention to detail, and familiarity with inventory software or tools are also important qualifications for the role.

What is a kit manager?

A Kit Manager is responsible for overseeing and maintaining the equipment, uniforms, and supplies required by a sports team or organization. Their duties typically include distributing kits to players, ensuring all gear is clean and in good condition, and managing inventory levels. Kit Managers also coordinate with coaching staff to prepare equipment for training sessions and matches, and may handle ordering new supplies as needed. This role is essential for ensuring that teams are fully prepared and equipped for all activities.

What are popular job titles related to Kit Manager jobs in Connecticut?

For Kit Manager jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Kit Manager jobs in Connecticut look for?

The top searched job categories for Kit Manager jobs in Connecticut are:

Kit Manager jobs near you
Infographic showing various Kit Manager job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $68,519 per year, or $32.9 per hour.

Senior Software Engineer - Platform & Agentic AI Engineering

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$123K - $162K/yr

Full-time

Posted 12 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 306 rated insurance

Job description

Senior Staff Software Engineer - IE07HE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
This requisition hires Senior AI Engineers who will:
Design and deliver production-grade Agentic AI systems using Google ADK, Anthropic MCP, LangGraph/LangChain, and modern Agentic protocols. Build secure, scalable AI platform capabilities with strong engineering fundamentals in Python/Typescript, Terraform, and GCP. Enable enterprise adoption of AI by creating reusable frameworks, APIs, and platform capabilities aligned with engineering standards, compliance needs, and modern cloud patterns.
Overview
The Senior AI Engineer will architect, build, and operationalize advanced AI and multi-agent solutions leveraging RAG, GraphRAG, Agentic AI frameworks, and enterprise-grade cloud engineering.
A key requirement is robust, practical experience implementing MCP and ADK Agentic Protocols, with a solid understanding of:
  • Agent memory
  • Session and context lifecycle management
  • Tooling interfaces
  • Secure capability boundaries
  • Permissions and role enforcement

Additionally, candidates must have hands-on experience with AlloyDB's AI/Agentic capabilities-including vector indexing, embedding support, and tight integration with Vertex AI-as well as strong fundamentals in PostgreSQL / Postgres RDS for building retrieval systems, agent memory stores, and structured context-management layers.
The engineer must demonstrate strong foundational engineering skills in Python or Typescript, IaC (Terraform), DevOps pipelines, and secure distributed system design using GCP services such as Vertex AI, Cloud Run, Cloud Storage, and AlloyDB.
The role additionally requires deep, hands-on experience building and extending agent harnesses-the runtime scaffolding that orchestrates the agent execution loop, tool invocation, dynamic context-window assembly, sub-agent delegation, and guardrail and permission enforcement-together with production expertise in LangChain and LangGraph.
Fluency in spec-driven, agentic development frameworks such as GitHub Spec-Kit, OpenSpec, and BMAD-METHOD, used to translate intent into executable specifications and orchestrate AI-assisted delivery at enterprise scale.
Responsibilities
AI/Agentic System Architecture & Development
  • Design and implement Agentic AI solutions using Google ADK, LangGraph, LangChain, and Agent Engine.
  • Build and extend agent harnesses, implementing the agent execution loop, tool-call orchestration, dynamic prompt and context assembly, sub-agent delegation, streaming, token-budget management, and hook and guardrail enforcement.
  • Engineer advanced LangChain and LangGraph orchestration, including LCEL chains, stateful graphs, checkpointing, human-in-the-loop workflows, memory, retrievers, callbacks, and LangSmith tracing and evaluation.
  • Build advanced RAG and GraphRAG pipelines, vector retrieval systems, and knowledge-graph-augmented reasoning.

Implement MCP-compliant agents with capability registration, secure tool invocation, memory storage, and session state management.
  • Apply deep knowledge of Agentic Protocol design (ADK & MCP), such as:
    • Agent memory and conversation state
    • Tool authorization
    • Multi-step workflows and orchestration
    • Session boundary and identity controls
  • Leverage AlloyDB and PostgreSQL/RDS for:
    • Vector storage and hybrid search
    • Agent memory persistence, session management, and state recovery
    • Structured prompt scaffolding and fact retrieval
    • ACID-compliant transactional reasoning layers
  • Develop scalable AI microservices using Python/Typescript, Cloud Run, Vertex AI, and event-driven components.
  • Optimize model inference, retrieval latency, and overall system performance.

Spec-Driven & Agentic Development
  • Drive spec-driven development (SDD) using frameworks such as GitHub Spec-Kit, OpenSpec, and BMAD-METHOD, translating product intent into executable specifications, plans, and agent-ready task breakdowns.
  • Establish specification-first review gates and living change proposals that align human engineers and AI agents before implementation begins.

Security, Governance & Session Management
  • Implement enterprise-grade security for agents including:
    • OAuth and SSO flows
    • IAM roles, service accounts, least-privilege design
    • Secure MCP tool access, command permissioning, and input validation
  • Architect safe session-based AI interactions with proper expiration, auditing, and context isolation.
  • Ensure compliance with enterprise governance, Responsible AI requirements, and platform guardrails.

Platform Engineering, IaC & DevOps
  • Use Terraform to build GCP infrastructure for AI workloads, vector stores, knowledge graphs, and orchestration services.
  • Build CI/CD pipelines for model deployments and agent lifecycle automation.
  • Implement observability, monitoring, and logging for AI service health.

Innovation & Collaboration
  • Evaluate emerging tools and frameworks-including Claude Code, GitHub Copilot, AWS Kiro, GitHub Spec-Kit, OpenSpec, and BMAD-METHOD-and integrate them into engineering workflows.
  • Partner with architects, data engineers, and platform teams to implement cross-domain AI capabilities.
  • Document architecture patterns, reusable code modules, and standards for MCP/Agentic development.

Qualifications
Experience
  • 6-8 years in software engineering, including 2+ years in GenAI, multi-agent, or LLM systems.
  • Proven delivery of at least one production-grade AI or Agentic system, preferably involving RAG or GraphRAG.

Technical Expertise
Core Engineering
  • Strong engineering fundamentals in Python and/or Typescript.

Agentic AI & Protocols
  • Deep, practical experience with:
    • MCP (Model Context Protocol) - tools, capabilities, memory, session orchestration, security
    • Google ADK Agentic Protocols - agents, workflows, context management
    • LangChain & LangGraph - LCEL chains, agents, tools, memory, retrievers, stateful graph orchestration, checkpointing, human-in-the-loop control, and LangSmith tracing and evaluation
    • Agent harness engineering - agent execution loops, tool-call orchestration, context and prompt assembly, sub-agent delegation, streaming, token-budget management, and hook and guardrail enforcement

Spec-Driven & Agentic Development Frameworks
  • Hands-on experience with spec-driven development (SDD) workflows and tooling, including GitHub Spec-Kit (specify, plan, tasks, implement), OpenSpec (change proposals and living specifications), and BMAD-METHOD (agentic planning with specialized agent roles)
  • Proven ability to decompose product intent into executable specifications, structured plans, and agent-ready task breakdowns that align human and AI contributors before code is written
  • Familiarity with greenfield and brownfield delivery driven by multi-agent planning, context engineering, and specification-first review gates

Databases & Agent Memory Stores
  • Hands-on experience with AlloyDB, including:
    • Vector indexing / pgvector
    • AI inference acceleration and Vertex AI integration
    • Building agent memory and retrieval layers
    • Transactional context management for Agentic systems
  • Strong PostgreSQL/Postgres RDS fundamentals, including:
    • Schema design for knowledge retrieval
    • Query optimization
    • Hybrid search patterns
    • Durable storage for AI session and memory state

Cloud & Platform Skills
  • Experience with:
    • Vertex AI (Model Garden, Embeddings, Vector Search, Generative AI APIs)
    • GCP Cloud Run, AlloyDB, Cloud Storage, Secret Manager
    • Terraform / IaC
    • CI/CD automation, containerization, environment provisioning
    • OAuth, SSO, IAM roles/policies, service account management

Additional
  • Experience with AI coding tools (Claude Code, GitHub Copilot, AWS Kiro).
  • Strong understanding of LLM safety, governance, context window management, and prompt engineering.

Preferred Certifications
  • GCP Professional Cloud Architect
  • GCP Professional Machine Learning Engineer

Education
  • Bachelor's or Master's in Computer Science, Engineering, or related field.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$127,600 - $191,400
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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