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Remote Software Engineer Internships Jobs in Ridgefield, CT

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 ...

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 ...

Agentic AI Developer Intern

Stamford, CT · On-site +1

$27 - $30/hr

... source, or internship projects involving AI, ML, NLP, automation, or software development ... How AI engineering teams collaborate across product, data, software, and infrastructure functions.

Be Seen First

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 ...

New

... 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 ...

You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data ...

You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data ...

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Showing results 1-20

Remote Software Engineer Internships information

See Ridgefield, CT salary details

$63.2K

$146.9K

$204.7K

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

As of Jul 14, 2026, the average yearly pay for remote software engineer internships in Ridgefield, CT is $146,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $172,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Software Engineer Intern, you need a solid understanding of programming fundamentals, familiarity with languages like Python, Java, or JavaScript, and enrollment in or completion of a relevant degree program. Experience with version control systems (like Git), development environments, and sometimes cloud platforms or Agile tools is often required. Strong communication, self-motivation, and problem-solving abilities are crucial for collaborating effectively in a remote setting. These skills and qualities ensure interns can contribute meaningfully to projects, adapt to remote workflows, and learn efficiently from distributed teams.

What are Remote Software Engineer Internships?

Remote Software Engineer Internships are temporary positions where students or recent graduates work online with a company, contributing to software development projects from a remote location. These internships allow individuals to gain real-world engineering experience, enhance their programming skills, and collaborate with professional teams without needing to relocate. Interns typically work on tasks such as coding, debugging, testing software, and participating in virtual meetings. These opportunities are ideal for those seeking flexibility and exposure to industry practices in a remote work environment.

What are some common challenges faced during remote software engineer internships, and how can interns overcome them?

Remote software engineer interns often encounter challenges such as limited real-time communication, difficulty understanding project requirements without in-person guidance, and feeling disconnected from the team. To overcome these, interns should proactively schedule regular check-ins with mentors, make use of collaboration tools (like Slack or Zoom), and document their work thoroughly. Engaging in team meetings, asking questions early, and participating in virtual social events can also help build relationships and foster a sense of belonging within the team.
What are popular job titles related to Remote Software Engineer Internships jobs in Ridgefield, CT? For Remote Software Engineer Internships jobs in Ridgefield, CT, the most frequently searched job titles are:
What cities near Ridgefield, CT are hiring for Remote Software Engineer Internships jobs? Cities near Ridgefield, CT with the most Remote Software Engineer Internships job openings:
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