Senior DevOps Engineer

Summary

Join Ambient, a company revolutionizing apartment living through smart technology, as a Senior DevOps Engineer. This remote contract position, available in Brazil or Argentina, requires a strategic and creative problem-solver with a strong execution bias. You will design, build, and maintain infrastructure automation, implement CI/CD pipelines, and ensure system security and compliance. Experience with AWS and GCP, Terraform, Ansible, and Kubernetes is essential. The ideal candidate possesses 10-15 years of experience in DevOps, Cloud Engineering, or SRE.

Requirements

• 10-15 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE)
• Strong expertise in AWS services (EKS, RDS PostgreSQL, Aurora, Lambda, IAM, IoT, VPC, CloudWatch)
• Hands-on experience with Terraform & Ansible for infrastructure automation
• Proficiency in Python/Go/API tools for scripting, automation, and cloud operations
• Deep knowledge of Kubernetes (EKS) for container orchestration and workload management
• Operational experience with Git, GitHub Actions, SAST/DAST tools
• Experience in performance tuning and query optimization for Amazon RDS/Aurora PostgreSQL, including indexing strategies, and analyzing execution plans
• Skilled in setting up logging, monitoring (using CloudWatch, Performance Insights), and auditing for security and compliance using tools like AWS CloudTrail and pgAudit
• Strong troubleshooting skills with production incidents, performance tuning, and security incidents
• Implementation experience with monitoring tools like Datadog, SumoLogic, Splunk, Prometheus, Grafana, or Cloudwatch and providing visibility into application health and performance using logs, traces and metrics
• Exposure to EDR/MDR security solutions and compliance frameworks

Responsibilities

• Design, build, and maintain infrastructure automation using Terraform and Ansible
• Design, implement, and manage scalable, secure, and resilient platforms running on AWS and GCP infrastructure
• Implement robust CI/CD pipelines, automate deployments, and ensure high system availability
• Familiarity with best security practices, integrate EDR/MDR solutions, and ensure compliance with industry standards
• Set up logging, monitoring, and alerting using modern tools for proactive issue detection and resolution
• Apply industry standard SRE principles to improve reliability, scalability, and performance
• Work closely with data teams to build scalable MLOps pipelines for AI/ML workloads

Preferred Qualifications

• Some experience in AI/MLOps especially in the field of Observability and/or Cybersecurity
• AWS Certified Solutions Architect / DevOps Engineer
• Certified Kubernetes Administrator (CKA)
• HashiCorp Certified Terraform Associate