Senior DevOps Engineer (V)

Team: Software Engineering

Location: Remote Latam

Commitment: Full-time

Workplace Type: remote

Here are some of the exciting day-to-day challenges you will face in this role:

• Design, implement, and manage scalable cloud infrastructure on AWS.
• Lead and support the migration of on-premises systems to a cloud-native, serverless architecture.
• Build and maintain CI/CD pipelines using Bitbucket Pipelines and automate deployment processes.
• Provision and manage cloud resources with Terraform, keeping infrastructure versioned, reproducible, and consistent across environments.
• Help drive the shift from traditional DevOps practices toward platform engineering, building internal tools that support the development teams.
• Set up monitoring to keep systems reliable, and find and resolve performance bottlenecks.
• Work alongside development, security, and operations teams, keeping communication clear and timely.
• Apply security best practices, run regular security audits and vulnerability assessments, and help keep the platform compliant with industry standards.
• Keep documentation of infrastructure, processes, and tools up to date.
• Share knowledge and mentor junior team members.

You will shine if you have:

• Bachelor's degree in Computer Engineering or a related field, or equivalent hands-on DevOps experience.
• 5+ years of experience in a DevOps role within software organizations.
• Proven experience with AWS services and cloud migration projects.
• Extensive experience with CI/CD tools, particularly Bitbucket Pipelines.
• Strong proficiency in Terraform for Infrastructure as Code.
• Solid knowledge of containerization and orchestration tools such as Docker and Kubernetes.
• Experience with Atlassian tools (Jira, Confluence, Bitbucket).
• Excellent communication skills and the availability to respond quickly and stay connected with the team throughout the workday.
• The ability to write clear, easy-to-follow documentation.
• Strong problem-solving and analytical skills, and the drive to work with minimal direction.
• Willingness to learn and adapt to new technologies.
• Nice to have: experience with MLOps or DataOps, such as ML or data pipelines, model deployment, or data platform automation.
• Nice to have: AWS certifications, such as AWS Certified DevOps Engineer – Professional, AWS Certified Security – Specialty, or AWS Certified SysOps Administrator – Associate. 

What we offer:

• Salary in USD
• 100% Remote