Principal Software Engineer
Endpoint Clinical (company site, opens in a new tab)12+ yrsBengaluruHybridDirect career pageEst. 35–55 LPA
Posted on 24 Sept
Reach people at Endpoint Clinical
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Endpoint Clinical you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Drive technical strategy and architecture across all engineering domains ensuring reliability, quality, and risk reduction in the product.
- Own security and compliance measures including SOC 2, data integrity, and potential GxP/21 CFR Part 11 considerations.
- Mentor and grow engineering team through hiring, training selection, and direct coding contributions while collaborating with product and UX to convert ambiguous requirements into actionable plans.
Minimum Requirements
- 12+ years of engineering experience.
- Proficiency in TypeScript, React, and NodeJS required; Rust, Go, or C++ preferred but not mandatory.
- Bachelor's degree or higher in Computer Science or relevant field preferred.
- Experience with AWS or Azure cloud platforms and CI/CD tools like GitHub Actions; Infrastructure-as-code tools such as Terraform or Pulumi also required.
Ideal Candidate Profile
- Experienced leader comfortable setting and driving system architecture and technical strategy within complex, scaled environments prioritizing quality and security.
- Strong technical breadth with polyglot programming skills and ability to learn new stacks rapidly, ideally familiar with both frontend and backend technologies.
- Able to bridge technical and product teams effectively, educating stakeholders on AI technologies and influencing product roadmaps.