Transcenda is a global provider of design and engineering services. We put people first and strive to be agents of change by building a better future through technology. We are dedicated to empowering organizations to rapidly scale, digitally transform, and bring new products to market.

Recognized by Newsweek as one of America’s greatest workplaces of 2025, Transcenda is home to 200+ engineers, designers, analysts, and advisors solving complex business challenges through technology. By approaching our work through a variety of cultures and perspectives, we take calculated risks to design and develop innovative solutions that will have a positive impact tomorrow.

Interesting Facts:

• Over 200 team members
• Fully remote — we let people work where they work best.
• We work with clients who value our opinion and thought leadership, and where we can make a meaningful contribution to architectural decisions, engineering decisions, and product decisions.
• We have a strong social agenda and promote diversity and inclusion, and participate in a variety of charity initiatives throughout the year.
• We have fun team-building activities.
• Since we are rapidly growing, the ability to grow and advance your career is available and at a fairly quick rate.

Key responsibilities

• Design, build, and maintain efficient, reusable, and reliable code
• Designing APIs and building integrations
• Drive engineering from concept to finished product
• Contributions to architectural decisions

Must haves

• 5+ years of professional experience in software development.
• C#/.NET 10 experience with a strong focus on backend & databases.
• Experience with building high-load applications.
• Experience in designing and building REST APIs.
• Proficient in PostgreSQL and database schema design.
• Testing automation culture and experience in writing unit and integration tests.
• Frontend / React.JS experience.
• Upper Intermediate English level.

Nice to have

• DevOps practices, CI/CD, and experience with Amazon Web Services (AWS).
• Experience in data-intensive architectures, ETL, and building data pipelines.