Senior DevOps MLOps
Compass
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇷 Brazil
Visit company websiteJob Level
Senior
Tech Stack
AnsibleAWSDockerEC2KubernetesLinuxPythonTerraform
About the role
- Create and manage infrastructure resources on AWS, using Infrastructure as Code (IaC) practices;
- Create, evolve, and maintain CI/CD pipelines, ensuring automation, traceability, security, and quality in deliveries;
- Participate in defining and reviewing application architecture, contributing best practices for performance, security, and scalability;
- Monitor deliveries and the operation of environments, ensuring availability, continuity, and performance;
- Investigate, propose, and implement standards and automations for continuous improvement of environments and operational efficiency;
- Act as a bridge between technical teams and business areas, participating in the investigation, understanding, and planning of new technical requirements, aligning expectations with clients and stakeholders;
- Contribute to projects involving Machine Learning operations (MLOps) in production environments.
Requirements
- Bachelor's degree or postgraduate degree (specialization, Master's, or Doctorate) in Information Technology or a related field;
- Proven professional experience in the technology field (formal employment and/or as a contractor);
- Experience creating, evolving, and delivering CI/CD pipelines, focused on AWS environments;
- Experience in MLOps projects, especially with Amazon SageMaker, ECR, Step Functions, and Lambda;
- Strong knowledge of AWS services such as EC2, S3, IAM, CloudWatch, and CloudFormation or Terraform;
- Experience with containers (Docker and Kubernetes) in production environments;
- Knowledge of the Linux operating system, including security, troubleshooting, metrics collection, and performance analysis;
- Experience with infrastructure as code, using Terraform and Ansible;
- Proficiency with monitoring and observability tools, especially CloudWatch;
- Good communication, collaborative attitude, and solution-focused mindset, with the ability to work alongside technical teams and business areas;
- Desired: Knowledge of a programming language such as Python, Bash, or similar; familiarity with MLOps tools and practices such as MLflow, DVC, or production machine learning pipelines.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AWSInfrastructure as CodeCI/CD pipelinesMLOpsAmazon SageMakerDockerKubernetesTerraformAnsibleLinux
Soft skills
communicationcollaborative attitudesolution-focused mindset
Certifications
Bachelor's degreepostgraduate degree