About Warmly
Warmly is a fast-growing Series A company backed by Y-Combinator, Felicis, and Sequoia, with a high-velocity, transparent, and data-driven work culture. Our AI sales platform saves hundreds of hours/week for sales teams while helping our customers achieve their mission faster. Heading into 2025 with new funding, we will be scaling $3M to $10M in ARR and 250 to 500 customers in advance of a Series B. We foster a work environment where ideas are encouraged, experiments thrive, and individuals take ownership to drive impact.
Job Description:
As a Senior Python Developer at Warmly, you will play a crucial role in designing, developing, and maintaining our data-driven applications. You will be responsible for building scalable and efficient solutions that handle vast amounts of data across various NoSQL and SQL databases. Your work will be integral to ensuring the reliability and performance of our systems supporting all data features and aspects of our product. You’ll also be expected to implement and maintain simple frontend features using React.
Key Responsibilities:
• Design, develop, and maintain robust microservice applications written in Python. • Work extensively with MongoDB, Elasticsearch, or PostgreSQL to manage and query large datasets. • Develop both synchronous and asynchronous code to optimize performance and resource usage. • Build and maintain basic user-facing features and dashboards using React.
Requirements:
• Experience: Minimum of 7 years of professional experience in Python development. • Databases: Hands-on experience with MongoDB, Elasticsearch, and PostgreSQL. • Frontend Skills: Basic experience with React.js (e.g. building simple UI components, connecting APIs, rendering data). • Methodologies: • Proficiency in both synchronous and asynchronous development methodologies. • Good understanding of code efficiency, performance, and concurrency. • Solid understanding of Object-Oriented Programming concepts and best practices.
• Microservice Architecture: Experience with Docker, Kubernetes, or any other containerized environments. • Problem-Solving: Strong analytical and problem-solving skills with a keen attention to detail. • Communication: Excellent communication and teamwork abilities.
Additional Advantages:
• Cloud Experience: Working with one or more cloud providers such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. • Messaging Systems: Experience working with Google Pub-Sub and/or Apache Kafka. • Data Engineering: Understanding of infrastructure and experience in data engineering. • DevOps: Knowledge of CI/CD pipelines and DevOps practices. • Programming languages: Experience with additional programming languages (e.g. Kotlin, Javascript)
Main Tech Stack:
Python, FastAPI, React.js, Elasticsearch, MongoDB, PostgreSQL, Kubernetes, Azure, GCP, AWS, Apache Flink, Pub/Sub, Kafka.
Compensation:
- $100-130k USD Annually- Unlimited PTO- Equity- Laptop Reimbursement + Additional $500 Work-from-home Reimbursement
Compensation:USD 100000-130000
