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Remote Github Software Engineer Jobs in Newtown, CT

IQVIA

Sr Software Development Engineer

Greenwich, CT · On-site +1

$137K - $181K/yr

Position Summary We are seeking a Senior Software Development Engineer to design, build, and lead ... remote) U.S. residents only; work must be performed within the United States. Experience ...

IQVIA

Sr Software Development Engineer

Greenwich, CT · On-site +1

$137K - $181K/yr

Position Summary We are seeking a Senior Software Development Engineer to design, build, and lead ... remote) U.S. residents only; work must be performed within the United States. Experience ...

ContractStaffingRecruiters.com

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PLATFORM CLOUD ENGINEER - REMOTE

Stamford, CT · Remote

$70 - $80/hr

The position combines hands-on software engineering with system-level design, leading end-to-end development of scalable, cloud-based solutions that leverage LLMs, MLOps, and automation. Working ...

Iberdrola

Senior Digital Tech Lead

Orange, CT · Remote

Provide hands-on technical leadership for software engineers, focusing on technical architecture ... Own CI/CD pipelines for mobile (e.g., GitHub Actions, Azure DevOps, Jenkins), automated build/test ...

Libertas Funding

Principal Security Engineer

Greenwich, CT · Remote

$160K - $210K/yr

... and software engineering, with significant hands-on time in DevSecOps and cloud security. * Solid network security fundamental knowledge with firewalls, segmentation, secure remote access, and ...

Preferred Utilities Manufacturing Corp.

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PLC Controls Engineer

Danbury, CT · Remote

$90K - $150K/yr

... engineers, software engineers and proposal engineers to ensure proper implementation and ... remote monitoring systems, low- and ultra low-NOx burners, renewable and bio-fuel burners ...

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Remote Github Software Engineer information

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How much do remote github software engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote github software engineer in Newtown, CT is $151,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $178,200.00 per year, depending on experience, location, and employer.

How does a Remote Github Software Engineer typically collaborate with team members across different time zones?

As a Remote Github Software Engineer, effective collaboration often relies on asynchronous communication tools like GitHub Issues, Pull Requests, and project boards. Regularly updating documentation, leaving detailed code reviews, and participating in scheduled virtual meetings help ensure everyone stays aligned despite time differences. Strong written communication skills are essential, as much of the collaboration happens through comments and documentation rather than real-time discussions. This setup fosters flexibility but also requires proactive communication to avoid misunderstandings and project delays.

What does a Remote Github Software Engineer do?

A Remote Github Software Engineer is responsible for designing, developing, and maintaining software applications, typically using the GitHub platform for version control and collaboration. They work from a remote location, collaborating with team members through online tools and repositories. Their tasks often include writing code, reviewing pull requests, managing issues, and ensuring the quality and security of software projects. Effective communication and strong problem-solving skills are essential for success in this role.

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

To thrive as a Remote Github Software Engineer, you need strong coding abilities (often in languages like Ruby, Go, or JavaScript), experience with version control systems, and a solid understanding of software development principles, typically backed by a relevant degree or significant professional experience. Familiarity with GitHub's ecosystem, CI/CD pipelines, cloud platforms, and tools like Docker or Kubernetes is crucial, along with knowledge of automated testing frameworks. Exceptional written communication, self-motivation, and collaboration skills are essential for effective teamwork and problem-solving in a remote environment. These skills and qualities ensure you can contribute high-quality code, coordinate with distributed teams, and deliver reliable software solutions efficiently.
What are popular job titles related to Remote Github Software Engineer jobs in Newtown, CT? For Remote Github Software Engineer jobs in Newtown, CT, the most frequently searched job titles are:
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Remote Github Software Engineer jobs near you
Software Engineer II - Bioinformatics R&D - Remote

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted 5 days ago

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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