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Hypersonix

<div>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 &mdash; including the data and inference pipelines behind our real-time insights. You&rsquo;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 &amp; Responsibilities<ul><li>Design, develop, and operate scalable backend services and microservices using modern Python (3.11+).</li><li>Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability.</li><li>Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage.</li><li>Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation.</li><li>Integrate and serve AI/ML capabilities &mdash; model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints &mdash; in collaboration with Data Science.</li><li>Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage.</li><li>Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization.</li><li>Implement security best practices: authentication, authorization, secrets management, and data protection.</li><li>Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards.</li><li>Mentor junior engineers and contribute to a strong engineering culture.</li><li>Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.</li></ul>
Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).</li><li>5&ndash;7 years of professional software development experience.</li><li>Strong proficiency in Python, including type hints and at least one modern web/API framework (FastAPI and/or Flask).</li><li>Solid experience designing and building RESTful APIs, web services, and microservices.</li><li>Strong grasp of object-oriented and/or functional design, data structures, and software design principles.</li><li>Hands-on experience with version control (Git) and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or similar).</li><li>Experience with both relational (e.g., PostgreSQL/MySQL) and NoSQL databases, plus caching (e.g., Redis).</li><li>Good understanding of distributed systems, concurrency, and scalable application architecture.</li><li>Strong debugging, problem-solving, and analytical skills.</li><li>Excellent communication and collaboration abilities; comfortable working in a remote, distributed team.</li></ul>
Desired Qualifications<ul><li>Experience with cloud platforms, ideally AWS (e.g., ECS/EKS, Lambda, S3, RDS).</li><li>Familiarity with containerization and orchestration (Docker, Kubernetes).</li><li>Experience with asynchronous programming in Python (asyncio) and event-driven architectures.</li><li>Experience integrating LLMs or ML models into production (e.g., model/inference APIs, RAG, vector databases such as pgvector, Pinecone, or Weaviate).</li><li>Experience with cloud data warehouses such as Snowflake (e.g., data modeling, performance tuning, and building data pipelines or analytics workloads).</li><li>Familiarity with infrastructure-as-code (Terraform, AWS CDK) and observability tooling (OpenTelemetry, Datadog, Prometheus/Grafana).</li><li>Understanding of authentication and authorization protocols (OAuth 2.0, JWT, SSO) and security best practices.</li><li>Basic knowledge of JavaScript, HTML5, and CSS3.</li><li>Experience in Agile/Scrum environments.</li><li>Exposure to data-intensive or AI/ML platforms.</li></ul>
Location
Remote (Work from home).
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Senior Software Engineer (India)

Join Hypersonix and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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Senior Software Engineer (India)