Senior Software Engineer (India)
Software Engineering
Remote
Hypersonix.ai is disrupting the e-commerce space with AI, ML, and advanced decision-making capabilities that drive real-time business insights. Built from the ground up with modern technology, our platform simplifies the consumption of data for customers across multiple industry verticals.
Job Summary
We are looking for a highly skilled Senior Software Engineer with deep expertise in Python backend development to join our engineering team. You will design, build, and operate the scalable, high-performance services that power our AI-driven platform — including the data and inference pipelines behind our real-time insights. You’ll partner closely with Product, Data Science / ML, and Frontend Engineering to ship reliable, secure, and observable software.
This role suits someone who enjoys solving complex distributed-systems problems, writes clean and well-tested code, and wants to shape the architecture of a data- and AI-intensive platform.
Roles & Responsibilities
• Design, develop, and operate scalable backend services and microservices using modern Python (3.11+).
• Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability.
• Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage.
• Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation.
• Integrate and serve AI/ML capabilities — model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints — in collaboration with Data Science.
• Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage.
• Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization.
• Implement security best practices: authentication, authorization, secrets management, and data protection.
• Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards.
• Mentor junior engineers and contribute to a strong engineering culture.
• Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 5–7 years of professional software development experience.
• Strong proficiency in Python, including type hints and at least one modern web/API framework (FastAPI and/or Flask).
• Solid experience designing and building RESTful APIs, web services, and microservices.
• Strong grasp of object-oriented and/or functional design, data structures, and software design principles.
• Hands-on experience with version control (Git) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or similar).
• Experience with both relational (e.g., PostgreSQL/MySQL) and NoSQL databases, plus caching (e.g., Redis).
• Good understanding of distributed systems, concurrency, and scalable application architecture.
• Strong debugging, problem-solving, and analytical skills.
• Excellent communication and collaboration abilities; comfortable working in a remote, distributed team.
Desired Qualifications
• Experience with cloud platforms, ideally AWS (e.g., ECS/EKS, Lambda, S3, RDS).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Experience with asynchronous programming in Python (asyncio) and event-driven architectures.
• Experience integrating LLMs or ML models into production (e.g., model/inference APIs, RAG, vector databases such as pgvector, Pinecone, or Weaviate).
• Experience with cloud data warehouses such as Snowflake (e.g., data modeling, performance tuning, and building data pipelines or analytics workloads).
• Familiarity with infrastructure-as-code (Terraform, AWS CDK) and observability tooling (OpenTelemetry, Datadog, Prometheus/Grafana).
• Understanding of authentication and authorization protocols (OAuth 2.0, JWT, SSO) and security best practices.
• Basic knowledge of JavaScript, HTML5, and CSS3.
• Experience in Agile/Scrum environments.
• Exposure to data-intensive or AI/ML platforms.
Location
Remote (Work from home).