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Observability Engineer Jobs in Connecticut (NOW HIRING)

Prophecy Technologies

AI/ML Engineer

Hartford, CT · On-site

... observability. * LLM Evaluation: Offline/online evaluation, prompt/version management, automated ... Software Engineering: Git, code reviews, unit/integration testing (pytest), REST APIs, basic system ...

FAVARH

Senior Digital Software Engineer

Hartford, CT

$117K - $147K/yr

Collaborate with DevOps and infrastructure teams to ensure deployment readiness, observability, and performance. * Support incident response and root cause analysis for critical production issues.

Avani Technology Solutions, Inc.

.Net SDET

Rocky Hill, CT · On-site

$47.75 - $61.50/hr

Role : .Net SDET Location: Rocky Hill, CT Duration: 6 Months What skills/attributes are a must have ... private cloud, application observability and/or messaging / stream architecture 1-3 years ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Apply AIassisted engineering approaches, including LLMenabled tools or agents, to improve data quality, observability, documentation, and productivity. * Identify data quality issues, bottlenecks ...

subway

DevOps Engineer

Shelton, CT

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT · On-site

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT · On-site

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT · On-site

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT · On-site

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT · On-site

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT · On-site

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT · On-site

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

subway

DevOps Engineer

Shelton, CT · On-site

$102K - $128K/yr

... observability across the software delivery lifecycle. Responsibilities include, but are not limited to: * Design, build, and maintain CI/CD pipelines that enable rapid, reliable, and repeatable ...

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Observability Engineer information

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$22

$64

$107

How much do observability engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for observability engineer in Connecticut is $64.91, according to ZipRecruiter salary data. Most workers in this role earn between $54.04 and $74.55 per hour, depending on experience, location, and employer.

What does an observability engineer do?

An Observability Engineer is responsible for designing, implementing, and maintaining monitoring, logging, and tracing systems to ensure the health, performance, and reliability of applications and infrastructure. They work with tools like Prometheus, Grafana, OpenTelemetry, and ELK to collect and analyze telemetry data. Their goal is to provide visibility into system behavior, detect and diagnose issues quickly, and improve overall system observability. They collaborate with developers, SREs, and operational teams to create automated and scalable observability solutions.

What are the key skills and qualifications needed to thrive as an observability engineer?

To thrive as an Observability Engineer, you need a solid understanding of monitoring, logging, and tracing systems, as well as expertise in programming, cloud infrastructure, and incident response. Proficiency in tools like Prometheus, Grafana, ELK stack, and familiarity with cloud platforms such as AWS, Azure, or GCP are commonly required, and certifications like AWS Certified DevOps Engineer can be advantageous. Strong analytical thinking, collaborative skills, and effective communication are essential soft skills for diagnosing issues and working across development and operations teams. These competencies are vital for proactively maintaining system reliability, ensuring performance, and resolving complications before they impact business operations.

What are the most commonly searched types of Observability Engineer jobs in Connecticut?

The most popular types of Observability Engineer jobs in Connecticut are:

What are popular job titles related to Observability Engineer jobs in Connecticut?

For Observability Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Observability Engineer jobs in Connecticut look for?

The top searched job categories for Observability Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Observability Engineer jobs?

Cities in Connecticut with the most Observability Engineer job openings:

Observability Engineer jobs near you
Infographic showing various Observability Engineer job openings in Connecticut as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, 3% Temporary, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,005 per year, or $64.9 per hour.

AI/ML Engineer

Prophecy Technologies

Hartford, CT • On-site

Full-time

Re-posted 8 days ago

Job description

Role Overview:
We are seeking an AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions. This role involves working on Natural Language Processing (NLP) and Generative AI (GenAI) use cases such as classification, summarization, and retrieval-augmented generation (RAG), in partnership with product and engineering teams to deliver scalable, secure, and measurable outcomes.
Key Responsibilities:
  • Design, build, and fine-tune NLP/LLM solutions for business use cases (e.g., classification, summarization, Q&A).
  • Develop efficient, well-documented Python code for training, inference, and evaluation pipelines.
  • Build RAG applications using embeddings, vector databases, and prompt engineering techniques.
  • Integrate LLM applications into services/APIs and ensure performance, reliability, and scalability.
  • Establish model evaluation, monitoring, and governance practices (quality, safety, bias, drift).
  • Collaborate with data engineering and platform teams on data pipelines, deployments, and CI/CD.

Required Skills:
  • 6+ years of overall experience in software development focusing on AI/ML engineering.
  • 2+ years of hands-on experience with deep learning for NLP/GenAI.
  • Strong Python proficiency, including writing production-quality, testable, maintainable code.
  • Experience with deep learning frameworks and libraries: PyTorch or TensorFlow; Hugging Face Transformers.
  • Solid understanding of deep learning architectures and modern NLP/LLM concepts (tokenization, attention/transformers, fine-tuning approaches).
  • Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit.

Qualifications:
  • 6+ years of overall experience in software development focusing on AI/ML engineering.
  • 2+ years of hands-on experience with deep learning for NLP/GenAI.
  • Strong Python proficiency.
  • Experience with PyTorch or TensorFlow; Hugging Face Transformers.
  • Solid understanding of deep learning architectures and modern NLP/LLM concepts.
  • Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit.

Preferred Skills:
  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar).
  • Experience with vector databases and embedding workflows (e.g., FAISS, Pinecone, Weaviate, Chroma, Azure AI Search).
  • Experience deploying and scaling ML/LLM workloads on cloud platforms (Azure preferred; GCP/AWS acceptable).
  • Familiarity with agentic architectures and multi-agent patterns (e.g., AutoGen or similar).
  • Healthcare domain knowledge and/or experience building solutions in regulated environments.

Standard Technical Skills:
  • MLOps & Deployment: Model packaging and serving, CI/CD, containers (Docker), orchestration (Kubernetes), experiment tracking (MLflow), model registry, monitoring/observability.
  • LLM Evaluation: Offline/online evaluation, prompt/version management, automated testing, hallucination and factuality checks, retrieval evaluation, human-in-the-loop review.
  • Software Engineering: Git, code reviews, unit/integration testing (pytest), REST APIs, basic system design, performance optimization.
  • Security & Compliance: Secure coding, secrets management, PII/PHI handling, access control; familiarity with responsible AI principles is a plus.

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