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Amazon Software Engineer Remote Jobs in Bridgeport, CT

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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 ...

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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 ...

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 ...

ReserveBar

VP/Director of Engineering (Remote)

Ridgefield, CT · On-site +1

$179K - $231K/yr

... software, analytics, and an exceptional retail network to deploy solutions that simplify the ... You have the ambition and confidence to fully engineer, maintain, and scale special technology ...

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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All JobsAmazon Software Engineer JobsAmazon Software Engineer Remote JobsAmazon Software Engineer Remote Jobs in Bridgeport, CT

Amazon Software Engineer Remote information

See Bridgeport, CT salary details

$64.6K

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$208.9K

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

As of Jul 13, 2026, the average yearly pay for amazon software engineer remote in Bridgeport, CT is $149,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,000.00 and $175,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Software Engineer (Remote), and why are they important?

To thrive as an Amazon Software Engineer (Remote), you need strong programming skills (often in Java, C++, or Python), a solid understanding of computer science fundamentals, and typically a bachelor's degree in computer science or related field. Familiarity with AWS services, version control systems like Git, and CI/CD tools such as Jenkins is commonly required. Excellent problem-solving abilities, effective communication, and self-motivation are standout soft skills for remote work environments. These skills ensure you can deliver high-quality software solutions, collaborate effectively across distributed teams, and adapt to Amazon's fast-paced, innovative culture.

What is the difference between Amazon Software Engineer Remote vs Amazon Software Developer Remote?

AspectAmazon Software Engineer RemoteAmazon Software Developer Remote
Required CredentialsBachelor's in CS or related field, coding skills, Amazon interview processBachelor's in CS or related field, coding skills, Amazon interview process
Work EnvironmentRemote, collaborative teams, Agile methodologyRemote, collaborative teams, Agile methodology
Employer & Industry UsageAmazon, tech/software industryAmazon, tech/software industry
Search & Comparison IntentHigh overlap in job duties and requirementsHigh overlap in job duties and requirements

Amazon Software Engineer Remote and Amazon Software Developer Remote roles share similar qualifications, work environments, and industry usage. The main difference lies in job titles used internally and externally, but both involve software development tasks within Amazon's remote teams.

What does an Amazon Software Engineer do when working remotely?

An Amazon Software Engineer working remotely designs, develops, tests, and maintains software solutions that power Amazon’s products and services. They collaborate with team members using online tools, participate in virtual meetings, and follow Agile development practices. The role involves solving complex technical problems, writing high-quality code, and ensuring scalability and reliability of software systems—all from a remote location. Communication and self-motivation are key to succeeding in this remote position.

What are some common challenges faced by remote Amazon Software Engineers, and how can they be addressed?

Remote Amazon Software Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with globally distributed teams, and ensuring effective collaboration on large-scale projects. To address these challenges, Amazon fosters a culture of documentation, regular virtual meetings, and utilizes tools like Amazon Chime and internal wikis to keep everyone connected. Proactively reaching out to teammates, setting clear expectations, and participating in virtual team-building activities can also help remote engineers stay engaged and aligned with their teams.
What are popular job titles related to Amazon Software Engineer Remote jobs in Bridgeport, CT? For Amazon Software Engineer Remote jobs in Bridgeport, CT, the most frequently searched job titles are:
What job categories do people searching Amazon Software Engineer Remote jobs in Bridgeport, CT look for? The top searched job categories for Amazon Software Engineer Remote jobs in Bridgeport, CT are:
What cities near Bridgeport, CT are hiring for Amazon Software Engineer Remote jobs? Cities near Bridgeport, CT with the most Amazon Software Engineer Remote job openings:
Amazon Software Engineer Remote 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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