Sr. Backend Software Engineer (Python)
Company: Terakeet
Location: Phoenix, AZ (Remote)
Type: Full-time
Level: Senior
Remote: Yes
Posted: 2026-03-03
About this role
Why Terakeet?
At Terakeet, we’re comfortable with the uncomfortable. We live in the future of marketing and are revolutionizing how the world’s most valuable brands connect and build trust with their audiences. We are experts who deliver exceptional outcomes. Together, we win.
What We Do
Terakeet controls online reputation and visibility for global brands. We proactively build, protect, and repair brand narratives and perception to drive trust across organic and AI-powered search using patented technology and decades of expertise.
Where We Hire
We are a remote-first organization hiring specifically within 60 miles of Chicago, IL., Dallas, TX., Austin, TX., Charlotte, NC., Atlanta, GA., Phoenix, AZ., Minneapolis, MN., and Syracuse, NY to help create opportunities for connectivity and collaboration in-person as you see fit. Learn more about our hiring hubs on the Careers blog.
Where You Fit:
Terakeet is looking for a Senior Backend Software Engineer who is excited to build scalable, high-impact systems that solve complex, real-world challenges. We’re seeking someone who combines strong backend development and database expertise with a passion for clean, reliable, and maintainable code. The ideal candidate is collaborative, solutions-driven, and energized by working with large data sets, modern technologies, and a team that values innovation, quality, and continuous improvement.
What We Need:
Reasonable accommodations may be made to enable individuals with disabilities to perform the following essential functions:
- Designing, building, and maintaining backend services and APIs using Python and related frameworks.
- Ensuring database architecture, data flow, and system performance scale effectively with growing demand.
- Applying strong database fundamentals to real-world systems, including indexing strategies, partitioning approaches, and concurrency considerations for large and complex datasets.
- Advocating for best...