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BSC Analytics

BSC Analytics

via Pinpoint

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Senior Backend Engineer

Anywhere
full-time
Posted 10/6/2025
Direct Apply
Key Skills:
Backend Development
Python
Node.js
API Design
Microservices Architecture
Cloud Platforms
Containerization
Databases
AI/ML Lifecycle
Software Engineering Best Practices
Asynchronous Programming
Event-Driven Architectures
Problem-Solving
Communication
Mentoring
Data Engineering

Compensation

Salary Range

$Not specified

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.

Requirements

5+ years of professional backend development experience, with at least 3+ years using Python and Node.js. Deep understanding of API design and microservices architecture is essential.

Full Description

Senior Backend Engineer Department: Engineering Employment Type: Full Time Location: Remote Description Location: Remote (Outside the U.S.) Type: Contract Team Size: 4–5 Engineers 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. 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. 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. Skills, Knowledge and Expertise 5+ years of professional backend development experience, with at least 3+ years using Python and Node.js. Deep understanding of API design (REST, GraphQL, gRPC) and microservices architecture. Experience with cloud platforms, preferably Azure/AWS (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes). Solid understanding of databases (SQL and NoSQL), caching strategies, and data modeling. Familiarity with the AI/ML lifecycle — from model training to deployment and monitoring. Strong background in software engineering best practices (CI/CD, code reviews, automated testing, Git workflows). Experience with asynchronous programming and event-driven architectures (e.g., Kafka, RabbitMQ). Excellent problem-solving skills with an emphasis on scalability, reliability, and performance optimization. Clear communicator and natural mentor — someone who elevates the team and drives technical strategy. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) or MLOps tools (MLflow, Kubeflow, SageMaker). Experience in data engineering — building large-scale data ingestion and processing pipelines. Background in startup or high-growth environments, especially in delivering AI-powered products. Why You’ll Love Working Here At BSC Analytics, we don’t just ship code — we ship impact. You’ll join a team that values deep technical curiosity, open collaboration, and a strong sense of ownership. We believe in doing work that’s challenging, meaningful, and occasionally a little weird — in the best way. You’ll get the trust to run with ideas, the support to grow your skills, and the camaraderie of teammates who genuinely love what they do. Benefits Fully remote work environment Competitive company benefits Competitive compensation Fun company events Learning opportunities and support Work life balance/flexible time off

This job posting was last updated on 10/7/2025

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