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Remote Tcs Software Testing Jobs in Connecticut (NOW HIRING)

Keylent Inc

Sr Software Engineer

Middletown, CT · Remote

$124K - $164K/yr

Middle town NJ, Remote: NO JD Good Python experience with: * Develop and maintain various software products * Responsibilities include writing and testing code * Debugging programs and integrating ...

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 ...

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Remote Tcs Software Testing information

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

To excel as a Remote TCS Software Testing professional, you need a solid understanding of software testing methodologies, programming basics, and a relevant degree in computer science or IT. Proficiency in test management tools (like JIRA or ALM), automation frameworks (such as Selenium), and familiarity with cloud-based collaboration platforms are typically required. Strong analytical thinking, attention to detail, effective communication, and self-motivation are vital soft skills in a remote environment. These competencies ensure consistent software quality, efficient teamwork, and timely project delivery while working independently from different locations.

What is the difference between Remote Tcs Software Testing vs Remote Tcs Quality Analyst?

AspectRemote Tcs Software TestingRemote Tcs Quality Analyst
CertificationsISTQB, CSTE, or similar testing certificationsISTQB, CSTE, or similar testing certifications
Work EnvironmentRemote, collaborative testing teamsRemote, cross-functional quality assurance teams
Employer & Industry UsageIT services, software development companiesIT services, software development companies

Remote Tcs Software Testing focuses on executing test cases, identifying bugs, and ensuring software quality. Remote Tcs Quality Analyst often involves broader responsibilities, including analyzing quality processes and improving testing strategies. Both roles require similar certifications and work environments, but the Quality Analyst has a wider scope in quality management.

How does working remotely as a TCS Software Tester impact collaboration and communication with development teams?

As a remote TCS Software Tester, effective collaboration relies heavily on digital communication tools such as email, instant messaging, and video conferencing platforms. While you may not interact face-to-face, daily stand-ups, sprint planning, and regular sync meetings ensure alignment with developers and other QA team members. Clear documentation and proactive communication are essential to relay test findings and address bugs efficiently. Although remote work offers flexibility, staying engaged and accessible is key to maintaining productivity and building strong working relationships with your team.

What is a Remote TCS Software Testing job?

A Remote TCS Software Testing job involves working for Tata Consultancy Services (TCS) to test software applications and systems from a remote location, such as your home. Software testers identify bugs, verify functionality, and ensure quality standards are met before products are released. In this role, professionals use various testing tools and collaborate with development teams through online platforms. The job may involve manual or automated testing, writing test cases, and reporting defects. Remote work offers flexibility while still maintaining the high standards expected by TCS.
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What job categories do people searching Remote Tcs Software Testing jobs in Connecticut look for? The top searched job categories for Remote Tcs Software Testing jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Tcs Software Testing jobs? Cities in Connecticut with the most Remote Tcs Software Testing job openings:
Remote Tcs Software Testing 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

Posted 13 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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