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Architect - Software Developer
Quantiphi
Remote, CAN
Full-time
Mid
Remote
Discovered 3 weeks ago
awsazuredockerfastapigcpgit
Key Skills for This Role
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Full Job Posting
Required Skills:
- 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.
- Good to Have Skills:
- Exposure to LLM orchestration (LangChain, LlamaIndex), prompt engineering, and tool-calling frameworks.
- Experience with RAG architectures, vector DBs (Milvus, Pinecone, PGVector), and MLOps frameworks (NVIDIA Triton, KServe).
- Understanding of Model Context Protocol (MCP) and Agent-to-Agent toolkits for advanced agent workflows.
- Clinical/life sciences exposure, including FHIR, clinical systems integration, or healthcare data privacy standards.
- Strong UX awareness to influence AI-driven product design and user journeys.
- End-to-end experience architecting AI-powered applications with measurable impact.
- What is in it for you:
- Be part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs.
- 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
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Qualifications
- 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.
- Exposure to LLM orchestration (LangChain, LlamaIndex), prompt engineering, and tool-calling frameworks.
- Experience with RAG architectures, vector DBs (Milvus, Pinecone, PGVector), and MLOps frameworks (NVIDIA Triton, KServe).
- Understanding of Model Context Protocol (MCP) and Agent-to-Agent toolkits for advanced agent workflows.
- Clinical/life sciences exposure, including FHIR, clinical systems integration, or healthcare data privacy standards.
- Strong UX awareness to influence AI-driven product design and user journeys.
- End-to-end experience architecting AI-powered applications with measurable impact.
- Be part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs.
- 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
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Responsibilities
- 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.
About Quantiphi
IT Services & Consulting4303 employeesFounded 2013
AI-first digital engineering company helping enterprises solve complex business problems with artificial intelligence, cloud, and data engineering.
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