Mid Devops Engineer (Remote - Latam) at Jobgether

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Cloud Infrastructure, Terraform, CI/CD, Docker, AWS, Scripting, Monitoring, Networking, Security, Troubleshooting, Machine Learning, Data Pipelines, Automation, Compliance, Collaboration

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Mid DevOps Engineer in Latin America. This role provides an exciting opportunity to join a dynamic engineering team supporting a high-scale, AI-powered platform for threat detection. You will focus on building, maintaining, and optimizing cloud infrastructure, ensuring reliability, security, and scalability. The position allows direct impact on machine learning and data pipelines that process millions of data points in real time. Ideal candidates are hands-on engineers with strong Kubernetes and cloud experience, comfortable working in fast-paced environments, and passionate about building secure and automated infrastructure. You will collaborate closely with software, data, and security teams while helping drive SOC 2 compliance and operational excellence. Accountabilities As a Mid DevOps Engineer, you will: Design, deploy, and optimize Kubernetes-heavy infrastructure across multiple environments. Build and maintain Helm charts, Terraform modules, and CI/CD pipelines (Bitbucket, Jenkins, GitLab). Support application and data pipelines, including containerizing workloads with Docker. Implement infrastructure-as-code (IaC) solutions and automate provisioning with Terraform, Helm, or Ansible. Monitor and improve system observability using Prometheus, Grafana, Loki, CloudWatch, or ELK stack. Ensure infrastructure security and contribute to SOC 2 compliance initiatives. Troubleshoot production incidents, perform root cause analysis, and implement preventive fixes. Collaborate with cross-functional teams to align infrastructure with business and ML workloads. Mentor junior engineers and contribute to documentation and knowledge sharing. The ideal candidate will have: Bachelor’s degree in Computer Science, IT, or related field. 3–5 years of experience in production infrastructure, DevOps, or SRE roles. 2+ years hands-on Kubernetes experience, including cluster provisioning, Helm, scaling, and optimization. Proficiency in Terraform, Helm, and containerization technologies (Docker). CI/CD expertise with Bitbucket Pipelines, GitLab, Jenkins, or similar tools. Cloud experience, particularly AWS (EKS, RDS, IAM, Lambda, ECR); Azure or GCP a plus. Scripting skills in Bash or Python, with an automation mindset. Familiarity with monitoring/logging stacks (Prometheus, Grafana, Loki, CloudWatch, Splunk, ELK). Experience with relational and messaging systems (PostgreSQL, MySQL, Redis, Kafka, Snowflake). Solid understanding of networking concepts (TCP/IP, SDN) and security best practices. Strong troubleshooting skills for distributed systems and microservices. Ability to thrive in a fast-moving startup environment and work cross-functionally. Nice-to-have: Previous experience in SOC 2 or other compliance-oriented environments. Exposure to AI/ML pipelines or data-intensive applications. Familiarity with Latin American infrastructure and regional cloud operations. This role offers: Competitive salary and growth opportunities. Flexible remote work within Latin America. Opportunity to work with cutting-edge AI and ML infrastructure. Collaborative, fast-paced, and innovative work environment. Professional development and knowledge-sharing opportunities. Exposure to enterprise-grade cloud infrastructure and security practices. 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! #LI-CL1

Responsibilities

As a Mid DevOps Engineer, you will design, deploy, and optimize Kubernetes-heavy infrastructure while building and maintaining CI/CD pipelines. You will also ensure infrastructure security and contribute to SOC 2 compliance initiatives.