Site Reliability Engineer – DevOps – Infrastructure

One of our top Clients int he Human Capital Management space is looking for a SRE Infrastructure automation candidate to join their team.
Our Client offers the vibe of a startup with the resources of a large company, and you’ll have plenty of opportunities to help drive and validate product strategy.

The Technology Stack

Architecture – API-driven, distributed, service-oriented architecture
Frontend : React/Redux, Swagger + Backbone/Handlebars/jQuery
Backend: Java 8, Spring Boot, Solr, Kafka, Zuul
Build: Jenkins, Docker, Artifactory, Gradle
Infrastructure: AWS, Consul, Nomad, TerraForm, Vault, Salt, MySQL/RDS
Quality Assurance: Mabl, Locust/BlazeMeter, python-based API test automation

Things you’ll do

Work with product engineering teams as well as architects and application platform team and help them build services that scale and perform in a distributed microservice architecture.
Create metrics which feed into our observability systems and dashboards to give insights for the developers and operations teams.
Develop internal tools and help solve problems up and down the stack.
Define alerting thresholds, assist in troubleshooting of application issues and help lead post mortems.
Build out infrastructure to support these apps by using terraform to spin up aws environments, or creating docker containers to deploy into our schedulers.
Try to break stuff! Our apps must be battle tested and able to withstand different failure scenarios. Load/stress testing, chaos engineering type experiments, anything to make sure our customers never deal with downtime or failure. We thrive at 99.99% availability.
Participate in oncall alongside developers and be available to work with our client/customer support teams if necessary.

What we’re looking for

Designed, deployed, and managed large cloud infrastructures such as AWS, GCE, Azure, etc.
Solid understanding of managing cloud native application systems.
Excellent oral and written communication. Ability to convey ideas internally to co-workers as well as externally through meetups and talks.
Ability to understand distributed software architectures and troubleshoot them from infrastructure through application layers.
Experience with containers and how they work internally. Deployment into a production environment using a scheduler like Nomad / Kubernetes / Mesos / ECS a plus.
Implemented a service discovery system using tools like Consul/Smartstack/EtcD for dynamic environments.
Ability to write code/scripts using languages such as Python, Go, Ruby.
Passion for technology and desire to push our tech stack forward.
Be a team player and work closely with developers and operations.
Experience with Monitoring, Instrumentation and performance engineering.

Nice to have

Experience in a “continuous delivery/deployment” environment and supporting tools.
Worked with API/SPA architectures
Knowledge of service mesh technologies like Envoy/LinkerD
Experience with Java and JVM in a production environment.
Ability to configure and customize monitoring tools (Prometheus, Grafana, New Relic, Graphite, etc)