Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

About the Role

We are looking for a talented and driven Senior Python Software Developer to join our engineering team. In this role, you will design, develop, and deploy scalable backend systems and AI-powered applications, collaborating closely with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

    Design and develop robust, scalable backend services and APIs using Python

    Maintain and enhance current frameworks and workflows.

    Develop and maintain RESTful APIs

    Write clean, maintainable, and well-tested code following best practices

    Participate in architecture discussions, code reviews, and technical planning

    Optimize application performance, reliability, and security

    Build and integrate AI/ML models and pipelines into production systems

    Stay current with emerging AI/ML frameworks and engineering best practices

Required Skills & Qualifications

• Core Python:

    5+ years of professional Python development experience with scripting and web development

    Strong problem solving skills.

    Strong grasp of programming, concurrency, and design patterns

    Experience with web-scrapping, regular expressions, data handling, File IO

    Proficiency with web frameworks: FastAPI, Flask, or Django

    Experience with Python libraries: regex, Django, SQLAlchemy NumPy, Pandas, SQLAlchemy, Pydantic, Celery, pytest, beautiful soup

• Data & Infrastructure:

    Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases

    Exposure to cloud platforms: AWS, GCP, or Azure

    Bash Scripting

    Familiarity with containerization: Docker, Kubernetes

    CI/CD pipeline experience (GitHub Actions, Jenkins, etc.)

• APIs & Backend:

    Proven experience designing and building RESTful APIs

    Experience with API authentication (OAuth2, JWT, API keys)

• AI / Machine Learning:

    Hands-on experience building or deploying AI/ML applications

    Working knowledge of LLM integrations (OpenAI, Anthropic, LangChain, etc.)

    Familiarity with ML frameworks: TensorFlow, PyTorch, or scikit-learn

    Experience with RAG pipelines, vector databases (Pinecone, Weaviate, pgvector), or agentic workflows is a strong plus

• Nice to Have

    Security domain knowledge

    Contributions to open-source AI/ML projects

    Knowledge of prompt engineering and fine-tuning LLMs

    Experience with event-driven architectures (Kafka, RabbitMQ)