1. Core Technical Requirements
Must-Have Skills
- Strong and recent experience in React is the top priority. Candidates with only historical React exposure (e.g., 4-5 years ago) are not preferred.
- Full-stack experience with React and .NET/C# is highly desirable.
- Understanding of CI/CD pipelines, particularly GitHub Actions and deployment workflows.
- Experience with cloud technologies, preferably AWS, though experience with other cloud platforms is acceptable if candidates understand cloud fundamentals and containerized deployments.
- Exposure to Docker/containerization.
Nice-to-Have Skills
- Next.js experience. Strong React candidates can learn Next.js if needed.
- Experience with Python alongside .NET.
- Knowledge of DevSecOps, SRE, and Observability practices.
- Experience working in monorepo environments.
- Familiarity with AI coding assistants and AI-driven development tools. Experience implementing AI agents is considered an advantage.
2. Skill Evaluation Priorities:
- React (recent experience): Highest priority (4-5/5).
- Next.js: Moderate importance (2-5/5).
- Monorepo experience: Important (3-4/5). [
- .NET/API development: Moderate to high importance (3-5/5).
- Cloud infrastructure experience: Moderate importance (3-4/5).
- DevSecOps/CI-CD knowledge: Moderate importance (2-4/5).
3. Role Clarification
- Existing requirements listed as ".NET Full Stack" should be updated to"React Full Stack with .NET capability."
- Primary focus of the role is frontend development, supported by backend capabilities.
- Target candidates should be at Senior Engineer to Staff Engineer capability level, with some positions potentially requiring Tech Lead / Lead Engineer experience.
5. Candidate Screening Process
- Panel requested that shortlisted profiles include:
- L1/L2 evaluation feedback.
- Candidate strengths and weaknesses.
- Insights that help interviewers avoid repeating assessments already completed.
6. AI Assessment Expectations
- The team is comfortable with candidates using AI coding tools, provided they can:
- Explain the generated code.
- Justify implementation choices.
- Discuss alternative approaches and trade-offs.
- Synechron interview panels should specifically evaluate candidates' understanding of AI-generated solutions rather than just code output.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Candidate Application Notice
