United States onlySummary
As a Senior Backend Engineer at BSC Analytics, you’ll be part of a high-performing team of four to five engineers tackling complex platform challenges for large-scale enterprises. If you thrive on learning, moving fast, and solving real-world problems across a mix of environments — both modern and legacy — this role is for you.
Every week brings new opportunities to sharpen your technical skills, collaborate with top engineers, and grow your reputation as a trusted expert. You’ll work on platforms that power mission-critical systems — all within a flexible, remote-first culture that values deep expertise, autonomy, and continuous learning.
Key Responsibilities
About the Role
We’re looking for a Senior Backend Engineer with a passion for building scalable, resilient systems that drive AI-powered innovation. You’ll be a key contributor to our backend architecture — designing APIs, scaling distributed systems, and collaborating closely with AI and product teams to bring cutting-edge ideas to production.
This isn’t a role for someone who just wants to maintain the status quo. At BSC Analytics, we move quickly, think boldly, and take ownership from concept to launch. You’ll join a culture that celebrates curiosity, encourages experimentation, and values engineers who balance technical excellence with a sense of humor and humility.
We’re looking for a Senior Backend Engineer with a passion for building scalable, resilient systems that drive AI-powered innovation. You’ll be a key contributor to our backend architecture — designing APIs, scaling distributed systems, and collaborating closely with AI and product teams to bring cutting-edge ideas to production.
This isn’t a role for someone who just wants to maintain the status quo. At BSC Analytics, we move quickly, think boldly, and take ownership from concept to launch. You’ll join a culture that celebrates curiosity, encourages experimentation, and values engineers who balance technical excellence with a sense of humor and humility.
Skills, Knowledge and Expertise
Key Responsibilities
Design, build, and maintain scalable backend services and APIs to support AI/ML-powered applications. Collaborate with AI/ML teams to productionize models, ensuring performance, security, and reliability. Implement best practices for security, performance, and scalability across backend systems. Build robust observability — monitoring, logging, and alerting — for deployed applications. Partner with cross-functional teams (frontend, product management, DevOps, ML engineers) to deliver high-quality features on time. Stay on top of emerging technologies and advocate for smart adoption that keeps us ahead of the curve.
Required Skills & Qualifications
5+ years of professional backend development experience
3+ years Python and Node.js experience required
5+ Years of backend development experience
5+ years of API design (REST and GraphQL) and microservices experience
5+ years of multicloud experience, AWS + Azure required
3+ years of Kubernetes experience
3+ years of SQL and NoSQL experience
2+ years of DevOps experience
AI/ML lifecycle experience required
Asynchronous programming and event-driven architecture experience
High growth environment experience
Preferred (Nice-to-Have)
Data engineering experience
Highly regulated enterprise experience
Hands on experience with AI/ML frameworks
Design, build, and maintain scalable backend services and APIs to support AI/ML-powered applications. Collaborate with AI/ML teams to productionize models, ensuring performance, security, and reliability. Implement best practices for security, performance, and scalability across backend systems. Build robust observability — monitoring, logging, and alerting — for deployed applications. Partner with cross-functional teams (frontend, product management, DevOps, ML engineers) to deliver high-quality features on time. Stay on top of emerging technologies and advocate for smart adoption that keeps us ahead of the curve.
Required Skills & Qualifications
5+ years of professional backend development experience
3+ years Python and Node.js experience required
5+ Years of backend development experience
5+ years of API design (REST and GraphQL) and microservices experience
5+ years of multicloud experience, AWS + Azure required
3+ years of Kubernetes experience
3+ years of SQL and NoSQL experience
2+ years of DevOps experience
AI/ML lifecycle experience required
Asynchronous programming and event-driven architecture experience
High growth environment experience
Preferred (Nice-to-Have)
Data engineering experience
Highly regulated enterprise experience
Hands on experience with AI/ML frameworks
