Senior MLOps Engineer, AWS

Job not on LinkedIn

🔥 16 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Work as an MLOps Engineer in an AWS cloud environment • Collaborate with the Data Science team to ensure the efficient operationalization of models and applications • Support the n8n workflow automation platform • Develop, validate, and maintain MLOps pipelines • Automate processes and integrate pipelines with AWS services • Design and maintain systems architecture aligned with project objectives • Ensure the ongoing support and evolution of the n8n platform • Work with data scientists to operationalize machine learning models • Resolve 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 function

🎯 Requirements

• Strong experience in Python development • Experience building and integrating APIs • Advanced knowledge of core AWS services and best practices • Experience designing systems architecture in cloud environments • Analytical and proactive approach to solving technical problems • Knowledge of container orchestration with Kubernetes • Familiarity with monitoring and observability tools such as Prometheus, Grafana, and Datadog • Understanding of FinOps and cloud cost management • Knowledge of front-end development

🏖️ Benefits

• Porto Seguro health insurance, with the option to add a spouse and children • Porto Seguro dental insurance for employees and dependents • Profit Sharing and Results Bonus (PLR) • Childcare assistance • Alelo meal and food vouchers • Home office allowance • Partnerships with educational institutions, offering discounts and incentives for courses and degree programs • Certification incentives, including cloud certifications (GCP, Azure, AWS, and others) • Livelo points • TotalPass, with discounted gym plans for employees and family members • Mindself, with incentives for meditation and mindfulness • Ongoing professional development