BASIC QUALIFICATIONS:

• Education: Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• Experience: 8+ years of professional software engineering experience, including significant experience in full stack development.
• Back End: 3+ years of experience (C#, Scala, golang)
• Cloud & Infrastructure: Expertise with AWS (S3, RDS, ElastiCache, Lambdas) and Kubernetes (Deployments, ConfigMaps, Secrets, Autoscaling).
• Programming: Proficiency in Python (FastAPI, Pandas, PySpark, SQLAlchemy, Alembic) and SQL (relational databases).
• Big Data: Experience with Databricks (DBX, DBFS, Spark, Notebooks).
• Testing & Security: Familiarity with testing tools (React Testing Library, Postman, Pytest) and security principles (OWASP Top 10, JWT, OAuth2).

PREFERRED QUALIFICATIONS:

• Programming Languages: Proficiency in modern programming languages and a deep understanding of object-oriented design and programming.
• Additional Tools & Technologies: Experience with Linux, Docker, IPython (as a service), Snowflake, PostgreSQL, Prefect/Celery/Dask, Kafka, Tailwind, Next JS and GraphQL.
• Cloud Data Platforms: Familiarity with data platforms such as Databricks or Snowflake is a plus.

• Feature Delivery & Quality: Balance speed and quality by iterating quickly and making incremental improvements to features and systems.
• Technical Leadership: Lead code reviews, architecture design discussions, and drive development best practices across teams.
• Cross-Team Collaboration: Lead cross-functional initiatives and tackle complex technical challenges while aligning engineering efforts across our SaaS platform.
• Architecture & Scalability: Contribute to the redesign of our platform architecture, focusing on improving scalability, security, and streamlining release processes to ensure rapid delivery and high standards.
• Mentorship & Knowledge Sharing: Mentor and guide teams, sharing your experience, best practices, and lessons learned.
• Data Systems & Cloud Infrastructure: Design and implement scalable, high-performance systems to manage vast amounts of data across multiple cloud environments and diverse data sources.