Software Engineer

• Design, develop, and maintain backend services using Python and related frameworks
• Build robust REST and GraphQL APIs, including designing schemas and implementing resolvers, pagination, and authorization
• Model, design, and optimize relational databases (PostgreSQL) queries, including indexing, migrations, query optimization, and performance tuning
• Implement and integrate ORMs (e.g., SQLAlchemy) with sound patterns for transactions and concurrency
• Architect and operate data pipelines and workflows using Apache Airflow (DAG design, scheduling, monitoring, retry/backfill strategies)
• Ensure code quality through unit/integration tests and automated CI/CD pipelines
• Apply secure development practices: authentication/authorization, secrets management, input validation, and data privacy
• Implement observability: structured logging, metrics, tracing, and alerting to ensure reliability and performance
• Collaborate with product owners, data scientists, and front-end engineers to deliver end-to-end solutions aligned with business goals
• Document systems and APIs for maintainability and knowledge sharing

• BS/MS in Computer Science or equivalent experience
• Professional backend Python development experience (5 years) building production-grade services
• Strong grasp of software engineering fundamentals: algorithms, data structures, concurrency, distributed systems basics
• Hands-on experience designing and maintaining microservices
• Strong proficiency in Python and related frameworks like FastAPI or Django
• Deep knowledge of SQL and PostgreSQL, including schema design, normalization, indexing strategies, query planning, and performance tuning
• Practical experience with ORMs, transactional integrity, and managing schema evolution/migrations
• Experience with automated testing, linting/typing, and Git-based version control systems
• Experience with next-generation software methodologies such as Agile and tools such as GitLab DevOps, CI/CD, and other best practices
• Clear communication skills and ability to collaborate in a cross-functional, agile environment

• Experience with GraphQL APIs (e.g., Strawberry, Graphene) and/or RESTful services
• Proficiency with Apache Airflow for orchestration of ETL/ELT workflows and data pipeline reliability
• Experience operating services in AWS cloud environments, including containerization (Docker) and orchestration (Kubernetes)
• Infrastructure-as-code familiarity (Terraform/OpenTofu, CloudFormation) and secrets/config management
• Performance profiling and capacity planning for high-throughput APIs
• Background in applied ML integrations or retrieval-augmented systems using vector stores

MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services