Technical Operations Engineer (Remote - Latam)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Operations Engineer · Senior in Latin America.

As a Senior Technical Operations Engineer, you will play a critical role in ensuring the stability, scalability, and reliability of complex data platforms and pipelines in a mission-driven environment. You will collaborate across engineering, product, and customer success teams to optimize workflows, automate operational processes, and maintain high data quality standards. This role offers the opportunity to work fully remotely, gain experience with cutting-edge data technologies, and contribute to impactful projects in the life sciences and healthcare domain. You will thrive in a fast-paced, collaborative environment, solving complex technical challenges while improving operational efficiency and supporting AI-driven data intelligence initiatives.

Accountabilities

• Ensure operational reliability, performance, and stability of AI-driven data platforms and pipelines.
• Monitor, troubleshoot, and optimize complex ETL/ELT workflows, ensuring data quality and availability.
• Develop Python-based automation tools for deployments, workflows, and system maintenance.
• Collaborate with Engineering, Product, and Customer Success teams to resolve operational issues and ensure seamless data delivery.
• Maintain detailed operational runbooks, incident playbooks, and system documentation.
• Work in an Agile environment, operationalizing analytics for life sciences and healthcare datasets.
• Identify and implement improvements to enhance scalability, reliability, and efficiency of data systems.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 4+ years of experience in Technical Operations, DevOps, or SRE, focusing on data platforms.
• Proven expertise managing enterprise-grade data services, including data pipelines, data lakes, and warehouses.
• Advanced Python skills for automation and operational tooling.
• Strong cloud experience (AWS or GCP) including compute, storage, databases, containerization, and orchestration.
• SQL proficiency with BigQuery, Redshift, or Snowflake.
• Deep knowledge of ETL/ELT best practices, data governance, and compliance (HIPAA a plus).
• Excellent problem-solving and troubleshooting skills for complex distributed systems.
• Strong communication skills and ability to create technical documentation.
• Collaborative, proactive mindset with strong ownership, able to work with stakeholders in EST timezone.

Nice to Have: Experience in life sciences/healthcare data, MLOps, AI/ML model deployment, data visualization (Looker, PowerBI), Elasticsearch, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, MLFlow).