The RoleYou'll build the core systems powering Merciv's agentic infrastructure - the data pipelines, APIs, and distributed services that enterprise clients depend on daily. This isn't a "contribute to a team" role. You own features from architecture to production.
You'll work closely with ML/AI engineers, product, and designers. The problems are hard, the surface area is real, and the impact is visible.
What You'll Do- Design and scale backend services in Go and Python powering real-time autonomous intelligence for Fortune 500 clients
- Architect data ingestion pipelines that handle millions of points across internal and external sources
- Build APIs that serve our agentic AI platform at enterprise scale
- Collaborate with ML/AI engineers to ship predictive models into production
- Own system reliability - fault tolerance, observability, performance under load
- Shape architectural decisions that define the long-term trajectory of the platform
- Mentor engineers and raise the bar for backend engineering as we grow
- You have 5+ years of backend engineering experience building systems at scale
- You're deeply proficient in Go and/or Python, with strong distributed systems fundamentals
- You've worked with both SQL and NoSQL databases and know how to process data at scale
- You've run production systems on Kubernetes
- You think in systems - you can design for performance, scalability, and maintainability at once
- You thrive on ambiguity and hard problems, not just well-scoped tickets
- Former technical founders are encouraged to apply - we care more about what you've built than how long you've been building
