ZipRecruiter

Log In

1

Infrastructure Solutions Engineer Jobs in Connecticut

BMG360

Agentic Solutions Engineer

Shelton, CT · On-site

$130K/yr

AGENTIC SOLUTIONS ENGINEER Agentic Solutions Engineer About the Role We're hiring an Agentic ... Responsibilities API-FIRST INFRASTRUCTURE amp; MCP ENGINEERING * Design, build, and maintain ...

Cloudera

Solutions Engineer - East Coast

Bridgeport, CT · On-site

$150K - $185K/yr

Solutions Engineer Cloudera is seeking a Solutions Engineer to come join our team. You will utilize ... You are on good terms with Infrastructure (Hardware, Storage, Network), Java/.NET, and SQL. * You ...

BMG360

Agentic Solutions Engineer

Shelton, CT · On-site

They are seeking an Agentic Solutions Engineer to design, develop, and maintain the API-first infrastructure that powers their autonomous marketing workflows and AI-driven client solutions.

TEKsystems

Infrastructure Engineer

Hartford, CT · Hybrid

$144K - $170K/yr

Primary Job Responsibilities % Time Design, engineer, test, and implement infrastructure solutions across Azure IaaS/PaaS, Enterprise Linux, Microsoft 365, and other on premise platforms to meet ...

TEKsystems

Infrastructure Engineer

Hartford, CT · Hybrid

$144K - $170K/yr

Primary Job Responsibilities % Time Design, engineer, test, and implement infrastructure solutions across Azure IaaS/PaaS, Enterprise Linux, Microsoft 365, and other on premise platforms to meet ...

Iberdrola

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

Lead Engineer - Cloud & Gen AI Reports to: Senior Manager - IT Infrastructure Location: In Office ... Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure.

Iberdrola

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

Lead Engineer - Cloud & Gen AI Reports to: Senior Manager - IT Infrastructure Location: In Office ... Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure.

FAVARH

Lead Solution Engineer

Windsor, CT · Remote

$102K - $134K/yr

Research of potential system solutions, including evaluating product and vendor products and ... Working with SDLC and Information Technology Infrastructure (ITIL) processes. Disaster recovery and ...

Voya Financial, Inc.

Lead Solution Engineer

Windsor, CT · On-site

$102K - $134K/yr

Research of potential system solutions, including evaluating product and vendor products and ... Working with SDLC and Information Technology Infrastructure (ITIL) processes. Disaster recovery and ...

next page

Showing results 1-20

All JobsInfrastructure Solutions Engineer JobsInfrastructure Solutions Engineer Jobs in Connecticut

Infrastructure Solutions Engineer information

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

To thrive as an Infrastructure Solutions Engineer, you need a strong background in systems architecture, network administration, and cloud computing, often supported by a degree in computer science or a related field. Familiarity with tools like VMware, AWS, Azure, scripting languages, and certifications such as CompTIA Network+ or AWS Certified Solutions Architect is typically required. Strong problem-solving abilities, communication skills, and the ability to collaborate effectively make someone stand out in this role. These competencies ensure that complex infrastructure solutions are designed, implemented, and maintained efficiently to meet organizational needs.

What is an infrastructure solutions engineer?

Infrastructure Solutions Engineers are professionals who design, implement, and manage the foundational technology systems that support an organization's operations. They focus on ensuring that hardware, software, networks, and cloud services work together seamlessly to meet business needs. Their responsibilities often include evaluating technology requirements, developing scalable infrastructure solutions, troubleshooting complex issues, and optimizing system performance. By bridging the gap between technical requirements and business goals, Infrastructure Solutions Engineers play a crucial role in maintaining efficient and secure IT environments.

What is the difference between Infrastructure Solutions Engineer vs Network Engineer?

AspectInfrastructure Solutions EngineerNetwork Engineer
CertificationsCCNA, Cisco certifications, cloud certificationsCCNA, CCNP, Cisco certifications
Work EnvironmentDesigning and implementing infrastructure solutions, working with cloud and on-premise systemsManaging and maintaining network hardware, troubleshooting network issues
Industry UsageIT, cloud providers, enterprise infrastructureTelecommunications, enterprise IT, data centers

While both roles involve networking and infrastructure, the Infrastructure Solutions Engineer focuses on designing comprehensive infrastructure solutions, including cloud integration, whereas the Network Engineer primarily manages and troubleshoots network hardware and connectivity. The roles often overlap but differ in scope and focus.

What are some common challenges infrastructure solutions engineers face when integrating new technologies into existing systems?

Infrastructure Solutions Engineers often encounter challenges related to compatibility and scalability when introducing new technologies into established IT environments. These challenges can include ensuring seamless integration with legacy systems, minimizing downtime during transitions, and maintaining robust security throughout the process. Successful engineers collaborate closely with network administrators, developers, and security teams to plan and test integrations, troubleshoot unexpected issues, and document solutions. Proactive communication and a thorough understanding of both old and new systems are key to overcoming these hurdles.
What are popular job titles related to Infrastructure Solutions Engineer jobs in Connecticut? For Infrastructure Solutions Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Infrastructure Solutions Engineer jobs in Connecticut look for? The top searched job categories for Infrastructure Solutions Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Infrastructure Solutions Engineer jobs? Cities in Connecticut with the most Infrastructure Solutions Engineer job openings:
Infrastructure Solutions Engineer jobs near you
Infographic showing various Infrastructure Solutions Engineer job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Agentic Solutions Engineer

Barrington Media Group, LLC

Shelton, CT • On-site

$130K/yr

Full-time

Re-posted 27 days ago

Job description

AGENTIC SOLUTIONS ENGINEER
Agentic Solutions Engineer
About the Role
We're hiring an Agentic Solutions Engineer to be the hands-on technical backbone supporting our Agentic Solutions Architect and the broader delivery team. This is a builder's role: you design, develop, and maintain the API-first, MCP-enabled infrastructure that powers our autonomous marketing workflows and AI-driven client solutions.
You'll architect and implement the service layer that connects everything-MCP servers, REST APIs, Django backends, and React-powered admin interfaces-enabling the Architect to design agentic systems that actually ship. If you love writing clean Python and TypeScript, building reliable API infrastructure, and want to work at the bleeding edge of AI tooling, this role was built for you.
This is NOT a generalist DevOps or data engineering role. You specialize in API-first design, MCP protocol implementation, and full-stack internal tooling for agentic systems. You are the engineer who makes the Architect's blueprints real.
Perfect for someone with a strong backend and full-stack background who is passionate about applying cutting-edge AI tooling to solve real-world marketing technology problems.
Responsibilities
API-FIRST INFRASTRUCTURE & MCP ENGINEERING
  • Design, build, and maintain RESTful and GraphQL APIs that serve as the backbone of agentic workflow systems.
  • Implement Model Context Protocol (MCP) servers that expose tools, resources, and prompts to LLM agents-enabling Claude and other agents to interface with internal and external data and services.
  • Develop webhook receivers, event-driven triggers, and real-time communication layers (WebSockets, SSE) to support autonomous agent pipelines.
  • Ensure APIs are secure, versioned, rate-limited, and observable with proper logging and distributed tracing.
  • Build and maintain the internal MCP server registry; keep tool schemas, descriptions, and input validation accurate and up to date.

BACKEND ENGINEERING - DJANGO
  • Build and extend Django-based backend services that power internal tools, client data pipelines, and agent orchestration APIs.
  • Design PostgreSQL schemas for agentic workflow state, job queuing, and audit trails.
  • Implement Django REST Framework (DRF) endpoints consumed by React frontends and external agent clients.
  • Develop background task processing using Celery and Temporal or similar for async agent jobs, polling loops, and scheduled automations.
  • Write Python integrations with LLM providers (Anthropic, AWS), marketing platform APIs (Meta, Google, GA4), and data warehouses (Snowflake).

FRONTEND TOOLING - REACT & REACT-ADMIN
  • Build internal admin dashboards using React-Admin to surface agentic workflow status, inspect agent job runs, and manage MCP server configurations.
  • Develop React-based monitoring and configuration UIs for the Architect and delivery teams.
  • Create reusable React components and hooks for common UI patterns across internal tool surfaces.
  • Integrate frontend tooling with Django/DRF backends and MCP-driven data sources.

AGENTIC TOOLING & DEVELOPER ENABLEMENT
  • Develop and maintain a reusable Python + TypeScript SDK of pre-built agent tools-platform API wrappers, data warehouse clients, webhook handlers-so new MCP servers and workflows can be stood up faster.
  • Support the Architect in prototyping and evaluating new agentic frameworks (Flowise, LangChain, custom orchestration).
  • Document MCP servers, API contracts, and SDK usage so the broader engineering team can build on your infrastructure.
  • Test and validate the accuracy and reliability of API outputs, MCP tool responses, and agentic workflow integrations.

Requirements
  • REQUIRED EXPERIENCE:
  • 3-6 years in backend or full-stack engineering roles, ideally at an agency, SaaS, or data/AI company.
  • Expert-level Python: you write clean, tested, idiomatic Python for APIs, data pipelines, and LLM integrations daily.
  • Proficient TypeScript/JavaScript: comfortable in both Node.js server contexts and React frontend work.
  • Hands-on experience building and consuming REST APIs-you understand OAuth2, JWT, API versioning, pagination, and webhook security.
  • React experience: you can build functional, component-driven UIs and are familiar with hooks, state management, and API integration patterns.
  • Familiarity with relational databases (PostgreSQL preferred) and ability to write efficient queries and design schemas.
  • Understanding of async patterns: event queues, background workers, webhooks, polling.
  • TECHNICAL SKILLS:
  • Python: FastAPI, Django/DRF, Celery, Pydantic, httpx, pytest-production-grade Python is your default.
  • TypeScript/JS: Node.js APIs, React (hooks, context, functional components), type-safe interfaces, module patterns.
  • Django: models, migrations, DRF serializers, viewsets, permissions, admin customization, Celery task integration.
  • React-Admin: custom resources, data providers, list/show/edit views, auth integration-or strong React with a fast ramp.
  • APIs: OpenAPI spec-first design, Swagger/Redoc documentation, rate limiting, CORS, versioning strategies.
  • MCP Protocol: familiarity with Model Context Protocol preferred; hands-on MCP server development is a major plus.
  • Cloud/infrastructure: AWS or GCP (Lambda, Cloud Run, S3/GCS), Docker, basic CI/CD pipelines (GitHub Actions).
  • Data: PostgreSQL, Snowflake familiarity; ETL patterns; ability to write complex SQL.

Compensation is commensurate with experience.
About Us
BMG360 is a high growth, private equity backed, tech enabled marketing agency that specializes in direct response advertisements across TV, audio, digital and direct mail. With recent acquisitions of a leading paid search and social firms, we are expanding our offerings and capabilities and are poised to become a powerhouse. Our data-driven systems deliver fixed cost leads so clients can grow their businesses rapidly and with minimal risk. From creative development to analytics, media strategy to revenue optimization, BMG360 has the expertise and knowledge to fit together all of the pieces of a successful direct response campaign and deliver powerful and profitable results.
Why BMG360?
BMG360 has been a leader in the industry since 2003, and we are growing exponentially.This staggering growth provides our employees with unparalleled opportunities to play a role in shaping the company's direction. Each employee plays an integral role in the evolution of BMG360 so company-wide transparency is paramount. Leadership is committed to making sure the entire team knows how the company is performing in relation to our annual goals, what challenges we are facing as a company and what opportunities are on the horizon. We pride ourselves on fostering a fun and fast-paced environment to work and grow your career. At BMG360 you'll have the opportunity to work as part of a close-knit team, working towards a common goal.
We are an equal opportunity employer and are committed to building a diverse and inclusive team. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
Pay Range: $130,000 per year

Apply