DevOps Engineer

Job Role: Neo4j DevOps Engineer (Cloud-Native Database Specialist)

Location: Mexico/Canada(Remote)

Employment Type: Contract

About the Role

Client is seeking a Cloud-Native Database Specialist with deep expertise in Neo4j and modern DevOps practices. This role goes beyond general DevOps—it requires a professional who treats database infrastructure as code , automates complex distributed systems, and thrives in containerized environments. You will be part of a global team, ensuring reliability, scalability, and observability of mission-critical database platforms.

Key Responsibilities

• Database as Code
• Automate provisioning and lifecycle management of Neo4j clusters and PostgreSQL/RDS instances using Terraform or CloudFormation .
• Manage StatefulSets in Kubernetes (EKS) for distributed database workloads.
• Build and maintain Helm charts for database deployments.
• GitOps & Modern Delivery
• Implement GitOps workflows using FluxCD and ArgoCD .
• Ensure production environments remain in sync with repositories via automated pull-based deployments.
• Integrate CI/CD pipelines with GitHub Actions for database and infrastructure updates.
• Observability & Reliability
• Design and maintain Grafana dashboards and Prometheus alerts for database health, latency, and throughput.
• Implement log aggregation and analysis using ELK/ECK stack .
• Troubleshoot and resolve database crashes, performance bottlenecks, and distributed system failures.
• Automation & Scripting
• Develop custom automation scripts in Python or Java , alongside Bash utilities .
• Examples include automated Neo4j backups to AWS S3 , log rotation across EKS nodes , and migration utilities.
• Collaboration & Agile Delivery
• Work within global Agile/Scrum teams, contributing to sprint planning, retrospectives, and documentation.
• Communicate effectively in English for cross-border collaboration and technical documentation.

Required Skills & Qualifications

• Strong hands-on experience with Neo4j , PostgreSQL, and other NoSQL/relational databases.
• Expertise in Kubernetes (K8s), EKS, Docker, Helm Charts .
• Proven track record with Terraform, GitHub Actions, FluxCD, ArgoCD .
• Deep knowledge of AWS services : EC2, S3, RDS, EBS, IAM Roles.
• Experience with Grafana, Prometheus, ELK/ECK stack for observability.
• Proficiency in Bash plus one modern language ( Python, Java, Go ).
• Excellent communication skills in English; ability to work in global teams.

Preferred Certifications

• AWS Certified DevOps Engineer
• Certified Kubernetes Administrator (CKA)
• Additional certifications in cloud-native databases or data reliability engineering are a plus.