This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior DevOps Engineer in Latin America.

We are seeking a Senior DevOps Engineer to join a fast-paced, innovative team working on large-scale ML-powered threat detection platforms. This role will be instrumental in designing, deploying, and maintaining secure and scalable infrastructure that supports real-time data pipelines, AI workloads, and production applications. You will collaborate closely with software, data, QA, and security teams, influence technology choices, and help build best-in-class operational processes. This position offers the chance to work with cutting-edge cloud technologies, drive platform reliability, and contribute directly to mission-critical projects in a startup environment.

Accountabilities

Design, deploy, and maintain Kubernetes-based infrastructure across multiple environments.
Build and manage Helm charts, Terraform modules, and CI/CD pipelines to support application and data workflows.
Partner with development and ML teams to support cloud-based workloads on AWS, and optionally Azure.
Containerize workloads with Docker and optimize developer workflows.
Automate infrastructure provisioning and configuration using tools like Terraform, Helm, and Ansible.
Enhance monitoring and observability using Prometheus, Grafana, Loki, CloudWatch, or ELK stack.
Implement secure-by-default practices to support SOC 2 compliance and other security requirements.
Troubleshoot production incidents, perform root cause analysis, and implement preventative solutions.
Mentor team members and foster a culture of documentation, knowledge sharing, and collaboration.

Requirements

Bachelor’s degree in Computer Science, IT, or related field.
7+ years of experience in production infrastructure, DevOps, or SRE roles.
2+ years of hands-on Kubernetes experience, including cluster provisioning, Helm, scaling, and optimization.
Strong expertise with Terraform, Helm, and containerization (Docker).
Experience with CI/CD pipelines (Bitbucket Pipelines, Jenkins, GitLab, or similar).
Proficiency with AWS (EKS, RDS, IAM, Lambda, ECR); Azure/GCP experience is a plus.
Scripting ability in Bash or Python, with automation-focused mindset.
Familiarity with monitoring and logging stacks (Prometheus, Grafana, Loki, CloudWatch, Splunk, ELK).
Knowledge of relational and messaging systems (PostgreSQL, MySQL, Redis, Kafka, Snowflake).
Solid understanding of networking concepts (TCP/IP, SDN).
Security-conscious with experience designing systems to meet compliance requirements, including SOC 2.
Strong troubleshooting skills for distributed systems and microservices.
Ability to thrive in a fast-moving startup environment with cross-functional collaboration.

Benefits

Work on cutting-edge ML and AI-powered infrastructure projects.
Competitive compensation and opportunities for growth.
Fully remote working environment with flexibility to manage your schedule.
Exposure to modern cloud, containerization, and infrastructure-as-code technologies.
Collaboration with a small, high-impact, cross-functional engineering team.
Opportunity to influence architecture, processes, and security practices from the ground up.

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 that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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