
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.
🔥 11 minutes ago
AWS
Cloud
Distributed Systems
Django
Docker
Flask
Google Cloud Platform
Kafka
Kubernetes
Microservices
Postgres
Python
RabbitMQ
Redis
SQL
Where this job comes from
Posted on Shuru's careers page, not through a job board
First seen by Remote Rocketship 11 minutes ago

51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Artificial Intelligence • B2B • Enterprise
Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.
• Own backend development from architecture and system design through implementation, deployment, and production support • Build products from scratch and scale them as usage and business complexity grow • Design, develop, and optimize scalable backend services using Python, FastAPI, Django, or Flask • Design robust REST APIs, database models, microservices, and event-driven workflows • Build distributed systems with fault tolerance, reliable communication, and appropriate data consistency guarantees • Make architecture decisions balancing performance, scalability, consistency, security, and maintainability • Optimize backend services for low latency, high throughput, and efficient resource utilization • Improve monitoring, logging, metrics, and alerting • Contribute to CI/CD pipelines, containerized deployments, and cloud infrastructure • Mentor teammates through design discussions, code reviews, and hands-on technical guidance • Collaborate with product and engineering teams and take ownership of delivery and product outcomes
• Strong hands-on experience with Python in building, scaling, and operating production-grade backend systems • Strong experience with at least one Python backend framework, such as FastAPI, Django, or Flask • Solid understanding of Python fundamentals, object-oriented programming, asynchronous programming, concurrency, and multiprocessing • Strong understanding of design patterns, architectural principles, and system design • Hands-on experience with relational databases, data modeling, SQL query optimization, and REST API development • Experience with microservices, event-driven architectures, asynchronous processing, and distributed systems • Strong understanding of distributed consistency, concurrency, scalability, fault tolerance, and failure handling • Experience with background task processing and messaging systems such as Celery, Kafka, Redis, or RabbitMQ • Knowledge of application security, authentication, authorization, and secure data handling • Working knowledge of DevOps fundamentals, including CI/CD, Docker, containers, and Kubernetes • Experience with cloud platforms, preferably Google Cloud Platform (GCP); AWS experience is also acceptable • Ability to work independently, communicate technical decisions, and mentor teammates in a remote environment • Startup experience building products from 0 to 1 and scaling them from 1 to 100 • Experience owning architecture and delivering greenfield products using Python • Experience building high-concurrency, low-latency, and high-throughput backend services • Familiarity with Python performance profiling, memory management, async I/O, and application optimization • Experience with distributed caching solutions such as Redis • Experience with PostgreSQL, database indexing, and query performance optimization • Experience in anti-fraud, commercial banking, fintech, or growth engineering is a plus • Comfort working with ambiguity, taking ownership, and balancing delivery speed with engineering quality
• Work on challenging, large-scale engineering and data problems • Build modern platforms using cutting-edge cloud and data technologies • Work closely with experienced engineering, product, and technology leaders • Opportunity to take ownership of architecture and key technical decisions • Remote-first and collaborative work environment • Strong opportunities for learning, leadership, and career growth
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