Job Title: Software Engineer / Full-Stack Engineer

Company Name: ProcessQ

Job Url: https://wellfound.com/jobs/3969290-software-engineer-full-stack-engineer

Job Description: 
ProcessQ
Actively Hiring
Provides it solutions, consulting, and support to help organizations succeed through technology
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Software Engineer / Full-Stack Engineer
Remote (
Los Angeles
)
|3 years of exp
|Full Time
Posted: yesterday• Recruiter recently active
Hires remotely in
Los Angeles
Remote Work Policy
Remote only

Company Location
North Hempstead
Visa Sponsorship
Not Available

Relocation
Allowed
Skills
Python
Java
noSQL
SQL
Azure
TypeScript
Docker
AWS
react
Kubernetes
Terraform
Go
GCP
About the job
Software Engineer / Full-Stack Engineer

Location: Massachusetts, California, Colorado, or Remote (U.S.)

Employment Type: Full-time

Role Overview:

We are seeking a highly skilled Full-Stack Software Engineer to design, develop, and maintain cutting-edge software solutions for Life Sciences platforms. You will collaborate with multi-disciplinary teams to implement scalable, secure, and cloud-based applications supporting research, clinical data, and AI-driven initiatives.

Key Responsibilities:

Develop and maintain full-stack applications using Python, Java, Go, TypeScript, React, and SQL/NoSQL databases.
Design and deploy cloud-native solutions on AWS, GCP, or Azure.
Implement CI/CD pipelines and containerized applications using Docker, Kubernetes, and Terraform.
Collaborate with cross-functional teams to deliver software aligned with Life Sciences compliance standards (HIPAA, GxP).
Participate in code reviews, debugging, and troubleshooting.
Required Qualifications:

3+ years of experience in full-stack development.
Strong programming skills in Python, Java, or Go, and front-end frameworks like React/Angular.
Experience with cloud platforms (AWS, GCP, Azure) and DevOps tools.
Understanding of secure, compliant software development practices.
Preferred Qualifications:

Exposure to AI/ML applications in Life Sciences.
Familiarity with scientific or clinical data management systems.