
51 - 200 employees
Founded 2001
🍽️ Food & Beverage
💼 Consulting
🏥 Healthcare
Food & Beverage • Consulting • Healthcare
Agriness is a technology-driven company that offers management solutions for swine, poultry, and dairy production. Established in 2001, Agriness aims to enhance the prosperity of livestock producers by providing innovative tools, information, and management strategies. With a commitment to evolving the agricultural sector, Agriness partners with farmers and corporations worldwide to improve their financial and operational results through specialized services and training.
🔥 14 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on Agriness's careers page ↗, not through a job board
First seen by Remote Rocketship 14 hours ago
Still open on Agriness's site. Checked 14 minutes ago.

51 - 200 employees
Founded 2001
🍽️ Food & Beverage
💼 Consulting
🏥 Healthcare
Food & Beverage • Consulting • Healthcare
Agriness is a technology-driven company that offers management solutions for swine, poultry, and dairy production. Established in 2001, Agriness aims to enhance the prosperity of livestock producers by providing innovative tools, information, and management strategies. With a commitment to evolving the agricultural sector, Agriness partners with farmers and corporations worldwide to improve their financial and operational results through specialized services and training.
• Develop and maintain a Python service that consumes Kafka events and writes and transforms data in PostgreSQL • Write, review, and optimize calculation and aggregation SQL, assessing performance and impact on large tables • Ensure event-flow consistency, including offset management, idempotency, duplicates, ordering, and reprocessing • Investigate production incidents and inconsistencies using logs, metrics, and alerts; identify root causes and fix them with regression tests • Conduct reprocessing, recalculations, and historical data migrations using the service’s tools, with care for the production environment • Review the team’s code, including code written with AI assistance, and have your own code reviewed • Document workflows, decisions, and diagnostic procedures • Work with the Data Tech Lead and the team to deliver end-to-end solutions, from investigation through production fixes, always supported by testing
• Strong production experience with Python in services, workers, or long-term maintained pipelines • Advanced SQL in PostgreSQL: complex queries with CTEs, window functions, and aggregations; upserts; and execution-plan analysis • Knowledge of database transactions and concurrency: isolation levels, locks, and what happens when two processes write at the same time • Experience with Kafka or another messaging platform (RabbitMQ, SQS, Pub/Sub), including an understanding of offsets, duplicates, and reprocessing • Automated testing with pytest, including tests using real databases and messaging systems • Experience investigating and resolving production issues • Docker and Git as part of your workflow • English proficiency for technical reading • Clear communication of decisions, risks, and outcomes • Production experience with Kafka • MongoDB • Property-based testing (Hypothesis or similar) • Kubernetes, GitOps (ArgoCD), and secrets management (Vault) • Observability with Grafana, Loki, and Prometheus • Event-driven architecture • Use of AI assistants in development, with critical review of generated output • Interest in or experience with agribusiness
• Remote work • Open to people with disabilities
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