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Site Reliability Engineer Remote Jobs in Connecticut

... programming and live productions. * Ability to travel domestically as needed, including occasional short-notice travel, to support live productions, special events, remote broadcasts, and on-site ...

AI Engineer

Hartford, CT · On-site +1

$1/hr

This position is Remote : We are seeking an AI Applications Developer to support the ongoing ... and reliability. · Collaborate with cross-functional engineering teams to design, develop, and ...

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

LeadImplementation ofbest practices in reliability engineering, including redundancy, fault ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Join KEYENCE as a Field Application Engineer Training Classes Begins January or July 2027 Multiple ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

Senior Network Engineer

Glastonbury, CT · On-site +1

$104K - $142K/yr

This role could also be remote with travel to Glastonbury, CT. What you will do: Network ... Identify opportunities to improve service reliability, reduce operational complexity, and modernize ...

Staff Electrical Engineer

Danbury, CT · On-site +1

$130K - $160K/yr

Remote (U.S); On-site in Danbury, CT preferred. Overview We are seeking a hands-on Lead Electrical Engineer to own the electrical design, integration, and commissioning of complex power systems for ...

Showing results 41-60

Site Reliability Engineer Remote information

What are the key skills and qualifications needed to thrive as a site reliability engineer remote?

To thrive as a Site Reliability Engineer Remote, you need expertise in systems administration, cloud infrastructure, automation, coding (often in Python or Go), and a solid grasp of networking fundamentals, usually demonstrated with a degree in computer science or equivalent experience. Familiarity with tools such as Docker, Kubernetes, AWS/GCP/Azure, monitoring platforms like Prometheus, and certifications like AWS Certified SysOps Administrator are highly valued. Excellent problem-solving, communication, and collaboration skills are essential, especially when troubleshooting incidents and passing information across distributed teams. These abilities ensure reliable, scalable services and smooth coordination in a remote work environment.

What is a site reliability engineer remote?

A Site Reliability Engineer (SRE) in a remote role is responsible for ensuring the reliability, performance, and scalability of software systems while working from a remote location. They bridge the gap between development and operations by implementing automation, monitoring, and incident response strategies. Remote SREs collaborate with distributed teams to improve infrastructure, troubleshoot issues, and optimize system performance. Strong communication skills, proficiency in cloud technologies, and expertise in software development are essential for success in this role.

What are some common challenges faced by site reliability engineers working remotely, and how are they addressed?

Site Reliability Engineers working remotely may encounter challenges like coordinating across multiple time zones, maintaining clear communication during urgent incidents, and managing complex systems without direct on-site access. These are often addressed by leveraging collaborative tools (like Slack, Zoom, and incident management platforms), implementing well-documented processes, and participating in regular team syncs or on-call rotations. Remote SREs also benefit from automation and observability practices that provide in-depth systems insights without needing physical presence. Many organizations support their success through robust onboarding, continuous training, and establishing clear lines of communication for rapid response scenarios. This blend of technical and teamwork strategies helps remote SREs maintain service reliability and stay connected with their colleagues.

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

The most popular types of Site Reliability Engineer jobs in Connecticut are:

What are popular job titles related to Site Reliability Engineer Remote jobs in Connecticut?

For Site Reliability Engineer Remote jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Site Reliability Engineer Remote jobs in Connecticut look for?

The top searched job categories for Site Reliability Engineer Remote jobs in Connecticut are:

What cities in Connecticut are hiring for Site Reliability Engineer Remote jobs?

Cities in Connecticut with the most Site Reliability Engineer Remote job openings:

Infographic showing various Site Reliability Engineer Remote job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Hartford, CT • Remote

$90 - $120/hr

Part-time

Posted 16 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.