Senior DevOps Engineer (AWS)

Our client is transforming how brands and users interact across digital platforms. Their mobile marketing and deep linking solutions are trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution. Their team consists of smart, humble, and collaborative professionals who value ownership in everything they do to create a product, team, and company that embodies their motto: Build Together, Grow Together, Win Together.

They are looking for someone passionate about managing resilient and reliable infrastructure systems at scale. Their engineering team builds highly scalable systems to handle 3 billion transactions per day on multiple Kubernetes clusters with ~250 nodes each.

• Manage operations of client’s infrastructure
• Ensure production systems and traffic maintains high uptime SLAs
• Provide on call support to debug and resolve production issues
• Work with the Engineering team to manage deployments, upgrades
• Work with Security team to enhance platform & infrastructure security
• Manage capacity and growth of systems and processes
• Deploy monitoring and alerts
• Work with developers to architect and define infrastructure requirements

• 4+ years of experience managing production Linux systems
• Experience managing Cloud Infrastructure on AWS (EC2, ELBs, S3)
• Experience with containers using Docker and Kubernetes
• Familiarity with Continuous Integration/Continuous Deployment
• Experience designing scalable cloud solutions
• Experience with configuration management tools (SaltStack,Terraform, Chef, Puppet, Ansible, Fabric, etc)
• Experience managing and debugging high-volume web deployments (nginx, node.js, JVM, etc)
• Worked with logging and monitoring tools such as Prometheus, ELK
• Experience developing automation tools in python, bash, golang
• Experience deploying and running third party open source databases, like ElasticSearch, Postgres, and Redis

• Experience in running private DNS infrastructure
• Experience in network planning, design and implementation
• Familiarity with Big Data and data pipeline management