Full-Stack AI Engineer
Connectly.ai
PythonTypeScript
Senior MLOps Engineer – AWS
Leega
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇷 Brazil
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudGrafanaKubernetesPrometheusPython
About the role
- Develop, validate, and maintain MLOps pipelines, ensuring process automation and integration with AWS services.
- Design and maintain system architectures, ensuring alignment with project objectives.
- Ensure the support and evolution of the n8n automation tool.
- Collaborate with data scientists to operationalize machine learning models.
- Respond to and resolve support tickets related to the MLOps team.
- Propose and develop technical solutions (such as web applications, APIs, and LLM-based agents) to support the Data Science team.
Requirements
- Strong development experience with Python.
- Experience building and integrating APIs.
- Proficiency with key AWS services and best practices.
- Experience designing system architectures in cloud environments.
- Analytical and proactive approach to solving technical problems.
- Knowledge of container orchestration with Kubernetes.
- Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog).
- Basic understanding of FinOps and cloud cost management.
- Knowledge of front-end development.
Benefits
- 🏥 Health insurance (Porto Seguro)
- 🦷 Dental insurance (Porto Seguro)
- 💰 Profit-sharing (PLR)
- 👶 Childcare assistance
- 🍽️ Meal and food vouchers (Alelo)
- 💻 Home office allowance
- 📚 Partnerships with educational institutions
- 🚀 Support for certifications, including cloud certifications
- 🤝 Auster personal support
- 🎁 Livelo points
- 🏋️♂️ TotalPass membership
- 🧘♂️ Mindself
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonAPIsAWSsystem architectureKubernetesmonitoring toolsobservability toolsFinOpscloud cost managementfront-end development
Soft skills
analytical approachproactive problem solving
