5 years minimum in software development using Python.
Experience in Python, FastAPI, and SQL/PostgreSQL required.
Experience in GraphQL APIs (e.g., Strawberry, Graphene) will set a candidate apart.
BS/MS in Computer Science or 7 years equivalent experience.
Client is seeking a backend-oriented Software Developer with strong experience in Python to design, build, and operate scalable APIs, data services, and pipelines.
You will collaborate with cross-functional teams to deliver secure, reliable, and performant backend systems, leveraging Python, PostgreSQL, ORMs, GraphQL, and Apache Airflow.
What You’ll Do
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.
Qualifications:
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 framework 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 system.
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.
Preferred Qualifications:
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.
