Sr. Staff DevOps Engineer

Ariel Partners • Nyc, NY

3d

About The Position

We are seeking a hands-on Staff DevOps Engineer to support deployment, optimization, and operations of our cloud-native infrastructure. This role focuses on building and maintaining scalable systems in an AWS and Kubernetes-based environment , improving reliability, and optimizing infrastructure costs. A key near-term initiative includes deploying a new graph database architecture and supporting a migration from Amazon Neptune to FalkorDB . At Ariel Partners, we solve the most difficult problems that inhibit technology from enabling our customers to achieve their goals. Our vision is to be recognized by our stakeholders as an elite provider of IT solutions, so when they have their biggest challenges, we are on their short list. We are looking for team members who share our values of: Integrity to do the right thing even when it hurts; Commitment to the long-term success and happiness of our customers, our people, and our partners; Courage to take on difficult challenges, accept new ideas, and accept incremental failure; and the constant pursuit of Excellence . Ariel Partners is an Equal Opportunity Employer in accordance with federal, state, and local

Requirements

• Strong experience with Kubernetes (K8s), Terraform, and Argo CI/CD
• Hands-on experience operating AWS production environments
• Experience managing Elastic clusters and version migrations
• Experience with infrastructure cost optimization strategies
• Strong DevOps/SRE background with production systems
• Experience migrating CI/CD pipelines to GitHub Actions
• Experience with graph databases (Neptune, FalkorDB, Neo4j, etc.)
• Experience with Datadog observability

Responsibilities

• Manage and optimize AWS infrastructure and Kubernetes environments
• Build and maintain CI/CD pipelines using Argo (with migration to GitHub Actions )
• Develop and maintain Infrastructure as Code using Terraform
• Support Elastic cluster upgrades and migrations without disrupting production customers
• Implement monitoring and observability using Datadog
• Optimize infrastructure costs using Spot instances, Reserved Instances, and Spot Ocean
• Manage and improve services using Redis, SQS, and Elastic
• Reduce legacy infrastructure technical debt and improve operational efficiency

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed