Senior Python Software Engineer

Workana is the largest platform for hiring remote talent in Latin America. With over 10 years of experience and 200k+ projects closed per year, we help companies in the US and worldwide find the best professionals quickly and efficiently.

The Role

As a Senior Software Engineer (Python/SQL), you will take ownership of stabilizing and modernizing a portfolio of critical applications and scheduled jobs that power business operations. This is a hands-on role where you’ll dive deep into existing Python/SQL (and occasional PHP) codebases, uncover hidden dependencies, and bring structure and reliability to legacy systems.

Your mission will be to transform fragile scripts into well-documented, testable, and resilient workflows, while leading the migration of legacy schedulers and Airflow instances into a managed Airflow environment. This role is ideal for someone who enjoys reverse-engineering complex systems, creating clarity out of chaos, and driving high-impact modernization efforts.

What You’ll Do

• Map legacy systems: read Python/SQL (occasional PHP), document data flows, dependencies, and failure modes.
• Modernize & de-risk: refactor scripts, add tests, improve retries/idempotency, kill redundant jobs.
• Migrate to managed Airflow (AWS): plan DAG moves, secrets, CI/CD, and observability.
• Improve reliability/visibility: alerting, on-call-friendly logs, backfill strategies, fewer false alarms.
• Partner with stakeholders: capture the “why,” translate to requirements, communicate trade-offs/timelines.
• Raise the bar: code reviews, mentoring, security/documentation culture.

• 5+ years software engineering. Strong Python (3.x). Advanced SQL (schema design, tuning) on a major RDBMS.
• Experience owning production schedulers/pipelines (cron/Airflow/etc.).
• Comfortable reading unfamiliar code and producing clear docs/designs.
• Git, CI/CD, Linux, AWS; solid testing/debugging and pragmatic refactoring.
• Excellent communication with non-engineering partners.

Nice to Have

• PHP familiarity for legacy jobs/apps; Django.
• Airflow (DAG design, sensors/operators, backfills) and migrations to managed Airflow.
• ETL/ELT patterns; queues (SQS/Pub/Sub/Kafka); observability (Datadog/CloudWatch/Otel); IaC (Terraform); containers (Docker); secrets mgmt (Vault/SSM/Secret Manager).