We're looking for a technical problem solver to work closely with our programming & system infrastructure teams to build out and refine the automation methods for our large-scale data intensive systems. You will join the team of DevOps Engineers working across multiple functional areas. Advance your career with this opportunity to work with a number of automation tools across the full stack and use the latest technologies. You will join a team of innovative engineers and intelligent research scientists who will keep you challenged in our demanding environment. This role focuses on the Genomic Data Commons, which by its nature lies at the intersection of cutting edge research and production systems, both in terms of the bioinformatics and the computer science principles being utilized. The Genomic Data Commons is the one of the world's largest collection of harmonized cancer genomics data. Developing a deep technical and quantitative understanding of the system, software, and security architecture will be critical to success in this role. You will focus on system availability, performance, and capacity monitoring, along with installation, configuration, and operations procedures. You will be given broadly defined goals and expected to work collaboratively across functional teams to determine best methods and technologies for achieving objectives. Your work will be informed by quantitative models for understanding and improving the overall performance of the system and by working with engineers to understand pain points. You will build out proof of concept environments and report on design outcomes to inform rapid technology advancement.
Automation Frameworks - Build out and maintain automation frameworks across systems, software, data management, and security aspects of a complex platform across on-premise and public cloud environments with a mix of best practices and custom solutions.
Production Support - Triage, research, communicate, address production incidents.
Production Monitoring - Wrangle disparate system monitoring assets and develop common analytics to inform optimization, define benchmarks and confidence intervals, and forecast to proactively mitigate production incidents.
Build Monitoring - Troubleshoot source code management and deployment issues and participate in continuous delivery objectives
Security Automation - assist with the automation of our security and compliance procedures.
Stay abreast of broad technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
Ability to lead across a collaborative team environment required.
Ability and willingness to acquire new programming languages, statistical and computational methods, and background in research area required.
Ability to prioritize and manage workload to meet critical project milestones and deadlines required.
Confidentiality related to sensitive matters such as strategic initiatives, trade secrets, quiet periods, and scientific discoveries yet to be put in the public domain required.
Ability to take a broad plan and break it into incremental tasks and oversee the completion of each task required.
Ability to come into a team used to minimal supervision and oversight and ensure accountability for deliverables and outcomes required.
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the granter of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Additional Job Description:
Education:Bachelor's degree in computer science, mathematics, statistics, engineering, or a quantitative field required.PhD in computer science, mathematics, statistics, engineering, or a relevant quantitative field preferred. Experience:Minimum two (2) years experience developing infrastructure, configuration and/or deployment automation required.Hands-on scripting experience (Bash, Python, or other dynamic language) required.Unix/Linux programming or system administration experience required.Experience with AWS (EC2/S3/Glacier) preferred.Interal cloud (OpenStack) experience preferred.Experience with configuration management utility (Chef, Puppet, Ansible) preferred.Experience with F5 or other load balancing technologies preferred.Experience with source control and build systems (SVN, Git, Jenkins, etc) preferred.Experience with Virtualization (Hyper-V, Docker) preferred.Experience with log aggregation tools (ELK stack, Splunk) preferred.Experience with security frameworks (FISMA, NIST, FIPS) preferred.Experience working in an agile environment preferred. Required Documents:ResumeCover Letter
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