Architect – Software Developer

🕒 February 18

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Quantiphi

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

📚 Education

💰 Series A on 2019-12

Artificial Intelligence • Enterprise • Education

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Architect and maintain reliable, versioned APIs with strong backward compatibility for internal and external integrations. • Deliver scalable microservices and async systems designed for high throughput, low latency, and real-time streaming. • Set engineering standards across API design, testing, documentation, and CI/CD automation. • Guide backend and frontend teams by providing clear HLD/LLD artifacts, conducting peer reviews, and ensuring clean architecture adoption. • Champion telemetry integrations—logging, metrics, and tracing—across services to enhance system observability and debuggability. • Publish client SDKs, Postman collections, and developer-focused portals to ease service consumption and onboarding. • Mentor engineers, drive architectural clarity, and align backend strategies with product vision. • Collaborate with AI/ML teams to integrate agent orchestration frameworks and model-serving platforms.

🎯 Requirements

• Expertise in backend development using Python, FastAPI and/or TypeScript (Node.js). • Proven experience defining API contracts using OpenAPI, Swagger, gRPC, and Postman, with a strong contract-first development mindset. • Deep understanding of microservices, event-driven and asynchronous system design, leveraging Kafka, RabbitMQ, or similar message brokers. • Mastery of asynchronous programming, multiprocessing, and real-time streaming via WebSockets, Kafka streams, or media pipelines. • Practical experience with cloud-native development (AWS, GCP, Azure), including autoscaling, serverless, API gateways, and managed databases. • Hands-on experience with API lifecycle management—authentication, versioning, rate limiting, and throttling. • Proficient in Docker, Git-based version control, and container orchestration workflows. • Deep commitment to automated testing strategies, including TDD/BDD, unit, integration, and contract testing. • Strong command of CI/CD pipelines, environment promotion strategies, and infrastructure-as-code principles. • Skilled at producing HLD/LLD documentation, UML/sequence diagrams, and applying relevant design patterns for system resilience and scalability. • Ownership of software release cycles, ensuring zero-downtime deployments and rollback strategies.

🏖️ Benefits

• Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication. • Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI. • Access to state-of-the-art GPU infrastructure on the cloud and on-premise. • Be part of the fastest-growing AI-first digital transformation and engineering company in the world.

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