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Remote Software Testing Jobs in Connecticut (NOW HIRING)

The Hartford

AVP, Software Engineering Lead

Hartford, CT · On-site +1

$255K/yr

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office ... Ensure production readiness through robust testing, observability, monitoring, and incident ...

Relativity

Software Engineer

Bridgeport, CT · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

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$18

$41

$66

How much do remote software testing jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for remote software testing in Connecticut is $41.39, according to ZipRecruiter salary data. Most workers in this role earn between $31.78 and $49.86 per hour, depending on experience, location, and employer.

What is remote software testing?

Remote software testing is the process of evaluating and verifying the functionality, performance, and security of software applications from a location outside the traditional office environment. Testers use various tools and platforms to access applications, execute test cases, report bugs, and collaborate with development teams online. This approach allows companies to leverage global talent, reduce costs, and offer flexible work arrangements while maintaining high-quality software standards.

What are the key skills and qualifications needed to thrive as a Remote Software Tester, and why are they important?

To thrive as a Remote Software Tester, you need a solid understanding of software development lifecycle, test case design, bug reporting, and typically a degree in computer science or related fields. Familiarity with testing tools such as Selenium, JIRA, TestRail, and knowledge of automation frameworks or ISTQB certification is often required. Attention to detail, strong problem-solving skills, effective communication, and self-motivation are essential soft skills in this remote role. These skills ensure accurate testing, clear documentation, and seamless collaboration with distributed teams, leading to higher software quality.

What is the difference between Remote Software Testing vs Remote QA Analyst?

AspectRemote Software TestingRemote QA Analyst
CredentialsBasic testing certifications, knowledge of testing toolsTesting certifications, QA methodologies, sometimes degree in IT or related fields
Work EnvironmentRemote, often project-based, collaborative teamsRemote, involved in testing, documentation, and process improvement
Industry UsageSoftware development, tech companies, startupsSoftware companies, IT firms, product development teams
Search & Comparison IntentUnderstanding testing roles, entry-level testing jobsQA processes, quality assurance careers, detailed QA roles

Remote Software Testing focuses on executing test cases and identifying bugs, often requiring basic certifications and technical knowledge. Remote QA Analysts have a broader role, including testing, process analysis, and quality improvement, often with additional certifications. Both roles are remote and industry-specific, but QA Analysts typically engage in more comprehensive quality assurance activities.

How do remote software testers effectively communicate and collaborate with development teams?

Remote software testers typically use a variety of collaboration tools such as project management platforms, instant messaging, and video conferencing to stay connected with developers and other stakeholders. Clear, timely communication is essential for reporting bugs, sharing test results, and discussing requirements or issues. Regular stand-up meetings and detailed documentation help ensure everyone stays aligned, even when working across different time zones. Building strong relationships with team members and proactively raising concerns can also improve workflow and project outcomes.
What are the most commonly searched types of Software Testing jobs in Connecticut? The most popular types of Software Testing jobs in Connecticut are:
What are popular job titles related to Remote Software Testing jobs in Connecticut? For Remote Software Testing jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Software Testing jobs in Connecticut look for? The top searched job categories for Remote Software Testing jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Software Testing jobs? Cities in Connecticut with the most Remote Software Testing job openings:
Remote Software Testing jobs near you
Infographic showing various Remote Software Testing job openings in Connecticut as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $86,082 per year, or $41.4 per hour.
Software Engineer II - Bioinformatics R&D - Remote

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Posted yesterday

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
Sema4 is seeking a talented, self-motivated Software Engineer II - Bioinformatics R&D to contribute to cutting-edge translational bioinformatics and clinical product development. As a member of the R&D Bioinformatics department, you will act as a critical member of the Sema4 clinical and research ecosystem focused on innovation, reliability, and quality analysis of high-throughput data at an unprecedented scale. You will use advanced cloud computing technologies to do big data analytics. You will be part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data to understand mutations and mutation processes in cancer and reproductive health and to translate that understanding to clinical utility. You will develop systems for integrating novel informatics and genomics tools and methodologies into clinical products and practices.
RESPONSIBILITIES
  • Carry out software design, coding, testing, debugging, and documentation
  • Automate existing analysis workflows, migrate existing workflows to cloud platforms, and develop new workflows and pipelines for clinical and research projects
  • Develop, implement, and follow best practices in software development, code versioning, software testing, and deployment
  • Collaborate closely with scientists, clinicians, and product managers to design, engineer, and implement analytics pipeline solutions in the Amazon AWS cloud environment
  • Deliver high-quality, well-tested software to the production bioinformatics team for use in clinical products
  • Contribute to bioinformatics research analysis
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs
  • Train and provide support for bioinformatics scientists and other team members in internally developed best practices for software development, testing, and software development lifecycle (SDLC) policies

QUALIFICATIONS
  • M.S. in Computer Science, Computer Engineering, Bioinformatics, Computational Biology, or related fields. B.S. plus equivalent experience will be considered
  • 2+ years of post-graduate software development experience
  • Working in a team, self-motivation, ability to manage multiple tasks simultaneously, ability to solve problems independently
  • Possess strong understanding of computer science fundamentals, algorithms, and software engineering best practices
  • Strong coding proficiency in Python and R programming languages or similar. Experience with multiple coding languages such as Java/Scala is preferred.
  • Programming experience in Unix/Linux environment
  • Experience with Docker or similar software container platform
  • Hands-on experience working with NGS and bioinformatics tools will be a plus, especially GATK and WDL and common NGS data formats (VCF, BAM)
  • Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS and DNAnexus
  • Developing codebases using distributed version control tools (especially Git) and software issue tracking systems (especially Jira)
  • Excellent communication and interpersonal skills needed for working in an interdisciplinary team of scientists, engineers, and clinicians
  • Well-versed in the art of effective technical communication, especially graphical communication, about systems design and high-complexity datasets

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