Spigot Software - MLOps Developer

Key Responsibilities :

- Architect, develop, and maintain scalable, reliable, and high-performance backend systems using Python.

- Build and optimize RESTful APIs and backend services using frameworks such as Flask, Django, or FastAPI.

- Collaborate with Data Scientists and ML Engineers to productionize classical ML models and Large Language Models (LLMs),

ensuring efficient inference, monitoring, and versioning.

- Design and maintain microservices-based architectures and ensure seamless inter-service communication.

- Design, implement, and optimize database schemas, queries, indexing strategies, and migrations for relational and NoSQL databases.

- Implement security best practices, including authentication, authorization, secure API design, encryption, and data protection standards.

- Ensure system reliability, fault tolerance, scalability, and performance optimization under high load.

- Take end-to-end ownership of backend initiativesfrom requirement analysis and architectural design to task breakdown, development, deployment, and support.

- Debug complex production issues, perform root cause analysis, and drive permanent fixes.

- Work with DevOps teams to support CI/CD pipelines, cloud deployments, containerization, and observability (logging, monitoring, alerting).

- Conduct code reviews, mentor junior engineers, and enforce engineering best practices.

- Document APIs, system designs, workflows, and operational processes for long-term maintainability.

- Participate in architectural discussions and contribute to technology selection and roadmap planning.

Required Skills & Qualifications :

- 6+ years of hands-on experience in backend development using Python.

- Strong experience with Flask, Django, FastAPI, or similar frameworks.

- Solid understanding of REST APIs, microservices architecture, and distributed systems.

- Experience integrating Machine Learning models and/or LLMs into production applications.

- Strong database skills with PostgreSQL, MySQL, and/or NoSQL databases (MongoDB, Redis, etc.).

- Knowledge of asynchronous programming, background jobs, and message queues.

- Hands-on experience with cloud platforms (AWS / GCP / Azure).

- Familiarity with Docker, Kubernetes, and CI/CD pipelines.

- Strong understanding of application security principles and secure coding practices.

- Proficiency with version control systems like Git.

- Excellent problem-solving, communication, and collaboration skills.

Good to Have :

- Experience with vector databases and semantic search systems.

- Exposure to MLOps frameworks, model monitoring, and deployment pipelines.

- Knowledge of event-driven architectures and streaming platforms.

- Experience working in high-scale or real-time systems.

- Prior experience in BFSI, SaaS, AI platforms, or data-driven products.

What We Offer :

- Opportunity to work on cutting-edge AI and LLM-based systems.

- High ownership and impact on product and architecture decisions.

- Collaborative and fast-paced engineering culture.

- Competitive compensation and growth opportunities.