AWS DevOps Engineer, Life Science

Posted 2 Months Ago
San Mateo, CA, USA
In-Office
Entry level
Information Technology • Professional Services • Software • Big Data Analytics
The Role
Manage and scale AWS infrastructure, improving availability, scalability, and system performance. Lead systems management and optimization across engineering teams, connect cloud infrastructure with IoT hardware, and streamline development workflows through DevOps practices. The role requires strong Python and scripting skills, AWS expertise, automation frameworks, relational databases, networking fundamentals, and container technologies.
Summary Generated by Built In
Company Description

Our Client is combining Big Data Machine Learning & Computer Vision with IoT in a unique way to shift the paradigm of life science product development and approvals. The system currently generates a video volume of about one third of what YouTube is generating... So this is truly a meaty DevOps opportunity!

Job Description

ICE Group Client scaled fast and this DevOps role is a critical addition to our engineering team. Your mission will be to take control of our already sizable AWS infrastructure using your talents to both optimize what we have and prepare us for massive growth. Additionally, you will have the unique opportunity to help us connect our cloud infrastructure to the world of advanced electronics: where the cloud meets IoT. Finally, in the spirit of DevOps you will be embedded with talented developers to streamline our entire engineering cycle. Plus we will let you play with all the latest toys, we are big on Docker and Ansible to name a just a few.

Meaningful Things You’ll Do:

  • You will manage our expansion on AWS and be the go to person for scalability and availability concerns.
  • You will lead our systems management and optimization efforts, working across groups to keep us sharp.
  • You will work closely with experts in data science, computer vision, and software to simply get stuff done.

Qualifications

Your Talents:

  • Strong Python and scripting experience.
  • Strong experience in the AWS universe
  • Advanced knowledge of automation frameworks such as Puppet, Chef, Ansible, or Salt
  • Strong background in relational database technologies, Postgres is preferred.
  • Experience managing tens to hundreds of servers on AWS or a similar managed cloud service.
  • Solid understanding of network fundamentals (DHCP, DNS, ARP, BGP, TCP/IP, HTTP, etc.)
  • Experience with container technologies such as Docker or LXC. 

Bonus Points For:

  • Experience with Cassandra or another NoSQL database.
  • Hands on experience with Marathon, Mesos, Chronos.
  • Experience with Debian.
  • Experience with CircleCI or Travis.
  • Familiarity with Raspberry Pi.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills Required

  • Strong Python and scripting experience
  • Strong experience with AWS
  • Advanced knowledge of automation frameworks such as Puppet, Chef, Ansible, or Salt
  • Strong background in relational database technologies; PostgreSQL preferred
  • Experience managing tens to hundreds of servers on AWS or a similar managed cloud service
  • Solid understanding of network fundamentals including DHCP, DNS, ARP, BGP, TCP/IP, and HTTP
  • Experience with container technologies such as Docker or LXC
  • Experience with Cassandra or another NoSQL database
  • Hands-on experience with Marathon, Mesos, or Chronos
  • Experience with Debian
  • Experience with CircleCI or Travis CI
  • Familiarity with Raspberry Pi
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The Company
HQ: Galway
7 Employees
Year Founded: 1998

What We Do

The ICE Group, LLC is a high-tech staffing and human-resources company founded to recruit rare full-time talent and provide staff augmentation. It builds engineering and technical sales teams for startups through Fortune 100 companies, with expertise in enterprise applications, business intelligence, and application-business acceleration. Its related practice also provides onshore and offshore software-development, analytics, application-engineering, and consulting services across industries.

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