Infrastructure System Reliability Engineer

DevOps / System Reliability Engineer (SRE) - Infrastructure team
Location: New York, NY

Have the opportunity to join a premiere software provider of data located in New York City working on the cloud-based IaaS team as a DevOps / System Reliability Engineer (SRE). You will join a team that builds real-time software for high impact systems that is core to the firm's infrastructure. This team processes large amounts of data from around the world, driving the majority of this software firm's downstream software products. This team addresses the market demand for low-latency solutions by delivering the world's most reliable, timely and accurate data. Whether it's building Solr infrastructure, working on the firm's cloud platform, or expanding enterprise telemetry, this firm will ensure they match you with the SRE team that's best suited for your skills, interest and expertise.

In this role you’ll ensure that the firm's large-scale distributed systems are scalable, monitored, automated and performing optimally. You'll take ownership of production environments – from the initial design phases to ensuring continuous high availability, so you should be comfortable working alongside other engineers to help fix and debug issues with the production engineering environment. You will use your demonstrated scripting, automation, programming and systems operations experience and a variety of technologies (including open-source) to tackle critical problems and help the firm's cloud environment scale. You’ll be embedded in a engineering team, charged with the responsibilities to dig deep into performance, scalability, capacity and reliability problems to help teams resolve them.

RESPONSIBILITES:
• Troubleshoot and debug run-time issues within production environments.
• Automate operation, installation and monitoring of the ecosystem components/platforms
• Implement operating system and hardware level optimizations
• Provide operations documentation to educate peer teams
• Design and deploy solutions for problems such as scalability, high availability, elastic load distribution and high throughput
• Focus on automation: this includes automating deployment (CI / CD) and configuration management, quality (including functional and capacity testing), and reaction to problems

QUALIFICATIONS:
• Requires a minimum of 2 years of professional technology experience working as a Software Engineer, DevOps Engineer, System Reliability Engineer, Infrastructure Engineer, Web Operations Engineer, Cloud Operations Engineer or Linux Systems Administrator / Systems Engineer.
• 3+ years of experience programming in Python or Ruby with strong automation experience.
• Demonstrated experience working with Linux systems
• Familiarity with configuration management tools such as Chef, Puppet, Ansible or Saltstack
• Familiarity with GIT

Any of the following specialized skills the team would like to see (DESIRED / PREFERRED SKILLS):
• Experience with any of the following programming languages: C/C++, Java, Go, Perl, Scala or JavaScript
• Familiarity with systems monitoring tools such as any of the following: Splunk, ELK (ElasticSearch, Logstash, Kibana), Grafana, Nagios, StatsD, Zabbix, or Zenoss
• Practical knowledge of networking protocols such as TCP/UDP/IP or VXLAN
• Familiarity with virtualization technologies such as any of the following: Vagrant, Terraform, VMWare ESXi, KVM, EC2, Google AppEngine (GAE), Ganeti, OpenVZ, XEN, Solaris Zones, LDoms, xVM, Odin / Virtuozzo, or FusionSphere
• Knowledge of cloud technologies such as any of the following: OpenStack, AWS, Rackspace, CloudFoundry, OpenShift, WS02, Google Compute Engine (GCE), or Google Cloud Platform (GCP)
• Experience with big data technologies such as Hadoop, Spark, Cassandra
• Familiarity with containerization technologies such as Docker, Mesos, CoreOS, Kubernetes, Packer, Google Container Engine (GKE) or Amazon ECS (EC2 Container Service)