Associate Architect
18 hours ago
We are looking for a Associate Architect to lead the end-to-end design and delivery of modern, data-driven, and AI-powered software systems.
Youll be the bridge between product vision and engineering execution guiding teams across architecture, development, DevOps, and quality — to build scalable and secure solutions
What You'll Do
- Architect & Design: Define the technical roadmap and architecture for web, data, and AI systems.
- Lead & Mentor: Guide a team of engineers across backend, frontend, and ML pipelines.
- Collaborate: Work closely with Product Managers, Data Scientists, and DevOps to turn ideas into robust, production-grade systems.
- Ensure Quality & Security: Review designs and code to ensure best practices in scalability, reliability, and compliance.
- Stay Ahead: Bring in emerging tools and frameworks to continuously evolve our engineering stack.
What We're Looking For
- 7-10 years of experience in software design and architecture.
- Strong background in at least one major backend stack (Django, , or Spring Boot).
- Working knowledge of cloud platforms (AWS / GCP / Azure) and modern DevOps practices (CI/CD, IaC, container orchestration).
- Understanding of microservices and distributed system design.
- Familiarity with data pipelines, APIs, and ML model integration is a plus.
- Bonus: Experience deploying or fine-tuning LLMs or ML models in production environments.
Nice-to-Have
- Experience with MLOps tools like MLflow, Kubeflow, or TensorFlow Serving.
- Familiarity with service meshes (e.g., Istio) and API gateways.
Why Join Us
- Opportunity to shape the architecture of next-gen AI products from the ground up.
- This role is ideal for senior engineers and architects who want to apply their full-stack, cloud, or backend expertise to the evolving world of AI systems — designing platforms that integrate modern AI/ML capabilities.
- Work with a cross-functional team passionate about innovation.
- Flexible work culture and autonomy in technical decision-making.
- Exposure to cloud-native, data-driven, and AI-first environments.
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