About the role : 

Our team ingests massive volumes of data and generates a series of KPIs that help us and our customers understand how our sites are performing, where and why they are under-performing, what the most common problems are, etc.

The number of sites and the volume of data is growing fast. We’ll need your help building smart, reliable, and performant solutions to make the most of the data.

Our current stack includes Redshift, RDS, Glue, Lambdas, S3, the AWS developer tools, and other AWS technologies. If you have good ideas for alternative solutions, we want to hear about it!

Responsibilities : 

  • 15% – Build, support, test, and maintain efficient CI/CD pipelines that allows the dev team to deploy world-class software as quickly and efficiently as possible
  • 15% – Monitor and report system metrics to improve overall efficiency and to increase scalability across the platform
  • 15% – Maintain critical services and create a vigilant notification strategy for internal teams
  • 15% – Guide decisions around reliability and resiliency including auto-scaling, self-healing, and circuit-breakers
  • 10% – Find opportunities to improve or optimize processes through automation
  • 10% – Work with the development team to prototype new ideas and generate detailed reports and metrics to guide decisions
  • 10% – Help mentor and educate your teammates (and vice versa) to expand everyone’s skillsets
  • 5% – Work closely with data engineers create, improve, and maintain automated highly reliable data pipelines
  • 5% – Other duties as assigned

Candidate requirements : 

Education/Experience –

  • BS in Computer Science or relevant experience
  • 4+ years of experience working in software engineering
  • 2+ years of hands-on experience building and managing AWS infrastructure
  • 2+ years of hands-on experience of programming in languages such as Python, Ruby, Go, Swift, Java, .Net, C++ or similar object-oriented language
  • Experience with automating cloud native technologies, deploying applications, and provisioning infrastructure
  • Hands-on experience with Infrastructure as Code, using CloudFormation, CDK, or Sceptre
  • Experience in an automated CI/CD environment. Detailed understanding of automation of all elements of a deployment pipeline including source control, CI, deployment, and QA automation
  • Experience with *nix file systems and bash scripting
  • Bonus points for previous experience with a Big Data team and/or automation tools (Chef, Puppet, Ansible, Salt)

Skills/Knowledge/Abilities –

  • Proactive communicator who can translate between technical and non-technical stakeholders
  • Team player who is interested in sharing knowledge and mentoring others
  • Someone who stays up-to-date with high-potential new technologies, and can evaluate and present to the team
Job Overview
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