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Observability Engineer Jobs in Connecticut (NOW HIRING)

The Hartford

Reliability Engineer

Hartford, CT · Hybrid

$103K - $130K/yr

Reliability Engineer - IE08GE We're determined to make a difference and are proud to be an ... Experience in AI/ML frameworks for observability, predictive failure detection, and AI-driven ...

The Hartford

Senior Security Engineer

Hartford, CT · Hybrid

$128K - $192K/yr

... observability, and risk reduction at scale. * Applies deep technical expertise in security ... Engineering Partnership & Best Practices * Act as a trusted partner to Security, Platform ...

Deloitte

AI Engineer Consultant

Hartford, CT · Hybrid

... observability, and cost/performance discipline. Recruiting for this role ends on 08/30/2026. Work you'll do As an AI Engineer Consultant on the HC Forward team, you will design, build, and run the ...

Deloitte

AI Engineer Consultant

Stamford, CT · Hybrid

... observability, and cost/performance discipline. Recruiting for this role ends on 08/30/2026. Work you'll do As an AI Engineer Consultant on the HC Forward team, you will design, build, and run the ...

Yuma Holdings LLC

Software Engineer

Stamford, CT · On-site

About the Role We're looking for a Software Engineer to join our engineering team at Yuma. You'll ... Ensure software reliability through automated testing, CI/CD pipelines, and observability best ...

Syntricate Technologies

Splunk Developer

Hartford, CT · On-site

... observability across systems. Responsibilities : • Design, develop, and maintain integrations ... developers on making necessary code or configuration changes to improve observability and ...

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Observability Engineer information

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How much do observability engineer jobs pay per hour?

As of Sep 5, 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.

How much do observability engineers make?

Observability engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with expertise in tools like Prometheus, Grafana, or cloud platforms may command higher salaries.

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:

Observability Engineer jobs near you
Infographic showing various Observability Engineer job openings in Connecticut as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $135,005 per year, or $64.9 per hour.

Senior Performance Engineer ID84179

AgileEngine

Monroe, CT • On-site, Remote

Full-time

Posted 15 days ago

Key responsibilities

  • Design, script, execute, and report performance tests across various systems and flows.

  • Identify and resolve performance bottlenecks using observability signals and integrate automated validation into CI/CD pipelines.

  • Partner with SRE/DevOps teams to define reliability targets, conduct chaos engineering experiments, and assist with production performance-incident resolution.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior Performance Engineer to own and lead an enterprise-wide Performance Engineering function as a horizontal shared service across a global QSR digital ecosystem including web, mobile, kiosk, POS, loyalty, and payments systems. You will design and execute load, stress, and endurance tests using JMeter, k6, or similar tools, integrate automated performance validation into Azure DevOps CI/CD pipelines, partner with SRE and DevOps teams on chaos engineering experiments, and leverage AI-assisted workflows for performance planning and results triage.

WHAT YOU WILL DO
- Own the enterprise Performance Engineering charter as a horizontal shared service, establishing engagement models and SDLC performance-readiness standards.
- Design, script, execute, and report performance tests (load, stress, endurance, scalability) across high-volume ordering, kiosk, POS, loyalty, and payment flows.
- Identify and resolve bottlenecks across application, database, messaging, and infrastructure layers using observability signals (e.g., Dynatrace).
- Embed automated performance validation into CI/CD pipelines (e.g., Azure DevOps) with baseline and threshold gating.
- Partner with SRE/DevOps teams to define reliability targets and run controlled chaos-engineering experiments (fault/latency injection, dependency degradation).
- Define performance-readiness criteria, provide evidence-based go/no-go release recommendations, and assist with production performance-incident resolution.
- Integrate AI-assisted workflows into performance planning, test-design acceleration, and results triage while maintaining AI-consumable artifacts and safety guardrails.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 4+ years of experience in performance engineering or non-functional testing at enterprise scale.
- Hands-on expertise with performance testing tools (e.g., JMeter, k6, LoadRunner, NeoLoad, or OctoPerf).
- Experience with enterprise observability and cloud monitoring platforms (e.g., Dynatrace).
- Demonstrated experience integrating automated performance validation into CI/CD pipelines (e.g., Azure DevOps).
- Scripting and automation proficiency in Java, JavaScript, or Python.
- Hands-on engineering experience in cloud environments (AWS or Azure).
- Hands-on experience using AI-assisted engineering tools, including reviewing and validating AI-generated output.
- Strong communication and stakeholder leadership skills with the ability to translate technical findings into clear business impact.
- Upper-intermediate English level.

NICE TO HAVES
- Direct experience partnering with SRE/DevOps practices on chaos engineering (fault/latency injection and dependency degradation testing).
- Prior experience supporting digital platforms within quick-service-restaurant (QSR), retail, or high-volume transactional ordering ecosystems.
- Experience maintaining AI-consumable artifacts (NFRs, workload models, baselines, thresholds) and defining AI guardrails.

PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location