Experienced Software Architect Wanted

1 semana atrás

Brasil beBeeSoftware Tempo inteiro US$80.000 - US$160.000
Software Architect

  • We are seeking an experienced Senior Software Engineer to join our team.

  • The ideal candidate will have a strong background in software architecture and development, with experience designing and building scalable APIs using Python.

Key Responsibilities

  • Design and implement RESTful APIs using Python, with a focus on scalability, security, and maintainability.

  • Lead and mentor junior and mid-level engineers through design reviews, pairing, and actionable feedback.

  • Integrate with gateways/acquirers and network APIs, model the disputes lifecycle, and build reporting with strong auditing.

  • Automate repetitive, error-prone steps across disputes and ops, evidence packet assembly, data collection from internal/external systems, reconciliation runs, SLA timers/notifications, and compliance checks, using workflow orchestration and event-driven patterns to implement retries, compensations, and human-in-the-loop approvals.

Required Qualifications

  • Native or fluent English for leading client calls, workshops, and written communication.

  • Advanced proficiency in modern Python (3.x; 3.12+ preferred), OOP/design patterns, typing/mypy, async I/O and multiprocessing, performance profiling, packaging, and testing.

  • Proven experience designing, building, documenting, and operating RESTful APIs at scale (versioning, pagination, idempotency, security best practices, webhooks).

  • Hands-on with payments processing, chargebacks/disputes, reconciliation/settlement, and payment network/vendor integrations.

  • Practical experience integrating device intelligence and behavioral analytics for risk decisions, with privacy/regulatory awareness.

  • Track record automating operational processes using orchestration/workflow tools and event-driven systems; human-in-the-loop patterns where needed.

  • Strong SQL with SQLAlchemy, production experience with MySQL/PostgreSQL and ClickHouse or similar columnar engines, familiarity with data lake/lakehouse architectures.

  • Building ETL/ELT with Airflow/Prefect/Dagster, understanding batch vs. streaming, data contracts, and schema evolution.

  • AWS proficiency, Docker/Kubernetes, CI/CD with GitHub Actions (or similar), solid observability practices (logs/metrics/traces).

  • Comfort beyond Python with both high-level and low-level languages, e.g., two or more among Go, Rust, Java, C/C++.

  • Networking/HTTP/TLS, concurrency, memory/CPU profiling, filesystems, and distributed systems basics.

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