Sobre

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Operations Engineer in Latin America.
• We are seeking a highly skilled and autonomous Technical Operations Engineer to ensure the stability, scalability, and reliability of complex data platforms and pipelines in a mission-driven environment. In this role, you will take ownership of operational excellence, collaborating closely with engineering, product, and data teams to optimize workflows and deliver robust, high-quality solutions. You will be responsible for automating processes, monitoring system performance, and troubleshooting operational issues, while contributing to documentation and best practices. This is an opportunity to work with cutting-edge AI-driven data systems that have a meaningful impact on decision-making in the life sciences and healthcare sectors. You will thrive in a fast-paced, collaborative environment where your technical expertise and proactive mindset directly influence both internal efficiency and customer satisfaction.

Accountabilities

• · Ensure operational reliability of AI-driven data platforms, infrastructure, and pipelines, maintaining system health, stability, and performance.
• · Monitor, troubleshoot, and optimize ETL/ELT workflows to ensure data quality, availability, and compliance with best practices.
• · Develop Python-based automation scripts and operational tools to streamline deployments, maintenance, and workflows.
• · Collaborate with Engineering, Product, and Customer Success teams to resolve complex operational issues and deliver seamless data services.
• · Maintain comprehensive operational documentation, including runbooks, incident playbooks, and system guides.
• · Work in an Agile environment to operationalize analytics, supporting large-scale life sciences and healthcare datasets.
• · Contribute to process improvements and knowledge sharing across teams.
• · Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• · 4+ years of experience in Technical Operations, DevOps, or SRE, focused on data platforms.
• · Proven expertise managing enterprise-grade data services, including pipelines, data lakes, and warehouses.
• · Strong Python skills for automation and operational tooling.
• · Hands-on experience with cloud platforms (AWS or GCP), including compute, storage, databases, containerization, and orchestration.
• · Proficiency in SQL and data warehouse technologies such as BigQuery, Redshift, or Snowflake.
• · Deep knowledge of ETL/ELT best practices, data governance, and regulatory compliance (e.g., HIPAA).
• · Ability to diagnose complex distributed systems issues with strong root cause analysis skills.
• · Excellent communication skills, both verbal and written, and experience creating technical documentation.
• · Collaborative and proactive, with strong ownership and the ability to work across time zones (EST).
• · Experience in regulated industries (healthcare, finance) is highly desirable.
• · Contractor agreement with payment in USD.
• · 100% remote work within Latin America.
• · Observance of local public holidays.
• · Access to English classes and online learning platforms.
• · Referral program for team growth incentives.
• · Opportunity to work on impactful, cutting-edge AI-driven data projects in life sciences and healthcare.

• Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
• When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
• 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
• 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
• 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
• 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
• The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company. The final decision and next steps, such as interviews or additional assessments, are made by their internal hiring team.
• Thank you for your interest!
• #LI-CL1