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Lead/Senior Python Developer | Remote (New York,New Jersey)

TestingxpertsRemoteL5 SeniorJuly 23rd, 2026
Engineering Experience •                    5+ years building and operating production backend systems. •                    Owns features end-to-end: design, implementation, testing, deployment, support. •                    Strong proficiency in Python. API & Service Design •                    Builds production APIs with a modern web framework (FastAPI or similar). •                    Comfortable with asynchronous programming and async/sync trade-offs. •                    Designs clear request/response contracts and validates inputs. Databases, Data Modeling, and Data Processing •                    Strong relational fundamentals: schema design, indexing, query performance. •                    Hands-on with an ORM (SQLAlchemy or equivalent) and writing non-trivial SQL. •                    Evolves production schemas safely via versioned migrations. •                    Builds data pipelines: ingest $B"*(J validate $B"*(J transform $B"*(J persist $B"*(J export. •                    Works fluently with tabular data (Excel, Parquet, CSV). Cloud & Delivery •                    Deploying and operating services on a cloud provider (Azure strongly). •                    Containerization (Docker) and CI/CD pipelines. Nontechnical •                    Can clearly explain trade-offs to engineers and non-engineers. •                    Operates independently, but with frequent communication. Asks clarifying questions early and keeps team informed on progress and blockers. •                    Comfortable with ambiguity and drives problems to resolution. Nice to Have •                    Frontend awareness (React/TypeScript) sufficient to collaborate on API contracts. Front end / full stack development experience (can build features, do code reviews) is a plus. •                    Scheduled / long-running background jobs in multi-instance deployments (locking, idempotency, retries). •                    Finance / FP&A / portfolio analytics domain experience.