Devops Engineer

Position: DevOps Consultant

Location: Remote

Duration: Long term contract

Type: Only W2

About the Team

Join a specialized Infrastructure Engineering team focused on deploying and managing cloud-hosted TigerGraph clusters. This role spans the full cluster lifecycle-from provisioning and performance testing to observability and operations-ensuring optimal performance and reliability of TigerGraph's hosted environments.

Key Responsibilities

Cluster Provisioning & Setup

• Define and implement cluster sizing strategies based on workload and capacity planning.
• Lead deployment of TigerGraph clusters across supported cloud platforms.
• Manage infrastructure cost approvals and budgeting.

Cloud Infrastructure & Operations

• Provision cloud infrastructure components including compute, storage, and networking.
• Implement secure networking configurations and ensure alignment with security policies.
• Collaborate with architecture and domain teams to fulfill security and deployment requirements.

Performance & Resiliency

• Conduct benchmarking, load testing, and stress simulations to validate readiness.
• Apply best practices for scalable and fault-tolerant cluster configurations.

Observability & Operational Readiness

• Set up monitoring, alerting, and dashboarding tools for real-time operational visibility.
• Develop and maintain runbooks, standard operating procedures (SOPs), and incident response workflows.

Ongoing Cluster Management

• Manage upgrades, scaling activities, and infrastructure right-sizing.
• Optimize shard distribution and maintain balanced cluster performance.
• Monitor and reduce cloud resource consumption for cost efficiency.

Required Skills & Experience

• 5+ years of experience in cloud infrastructure engineering (AWS, GCP, or Azure)
• Hands-on experience with distributed systems or graph databases (TigerGraph preferred)
• Expertise in infrastructure-as-code tools (Terraform, CloudFormation)
• Experience with performance/load testing tools and frameworks
• Proficient in observability tools (e.g., Prometheus, Grafana, Datadog)
• Strong understanding of operational documentation, incident management, and SOPs
• Familiarity with Kubernetes and container orchestration (a plus)

Preferred Qualifications

• Experience with performance testing tools like JMeter, Locust, or Gatling
• Background in managing medium to large-scale data clusters, with a focus on scalability and fault tolerance
• Prior experience with graph databases, especially TigerGraph or Neo4j