As a Platform Engineer at Docket AI, you will play a pivotal role in developing and maintaining our backend systems. You will be responsible for designing, building, and optimising the infrastructure that powers our platform. We are looking for a self-driven, independent individual with a strong foundation in Python, Kubernetes, SQL, and LLMs and a basic understanding of AWS, deployment, and CI/CD pipelines.

Key Responsibilities

Backend Development: Design, develop, test, and maintain backend services and APIs to support our platform's functionality and scalability.

Ownership: Take full ownership of your projects, from concept to deployment. This includes collaborating with cross-functional teams to define requirements, timelines, and deliverables.

Technology Expertise: Leverage your expertise in Python, SQL, and LLMs to build efficient, high-quality code that meets business objectives.

Infrastructure: Contribute to the architecture and optimisation of our backend infrastructure hosted on AWS.

CI/CD Pipeline: Assist in setting up and maintaining CI/CD pipelines to ensure seamless and automated code deployment.

Problem Solving: Tackle complex technical challenges and find creative solutions to ensure the reliability and performance of our backend systems.

Qualifications

Strong proficiency in Python programming

Experience with the FastAPI framework for building APIs

Proficiency in using Pydantic for data validation and settings management

Experience with containerization technologies, particularly Docker

Familiarity with SQL databases, especially PostgreSQL (SQLAlchemy)

Knowledge of NoSQL databases, specifically Redis

Understanding of RESTful API design and implementation

Experience with asynchronous programming in Python (asyncio)

Familiarity with microservices architecture

Knowledge of version control systems, preferably Git

Understanding of cloud computing concepts

Technical Skills

Python frameworks: FastAPI, SQLAlchemy

Databases: PostgreSQL, Redis

Containerization: Docker

Version Control: Git

API Development: RESTful APIs

Asynchronous Programming: asyncio

Cloud Platforms: AWS, GCP, or Azure

Message Queuing: RabbitMQ or Apache Kafka

Testing: pytest or similar Python testing frameworks

Nice-to-Have

Experience with RAG-based implementations

Built and scaled real-time voice agents.

Experience in managing Kafka

Previous experience working in a startup environment.

What We Offer

An exciting opportunity to make a significant impact in an early-stage startup.

Competitive salary and equity options.

A collaborative and innovative work environment.

Opportunities for professional growth and development.

Flexible work arrangements.