DevJobs

DevOps Team Lead

Overview
Skills
  • Bash Bash ꞏ 5y
  • Go Go ꞏ 5y
  • MySQL MySQL ꞏ 5y
  • Redis Redis ꞏ 5y
  • JIRA JIRA ꞏ 5y
  • Docker Docker ꞏ 5y
  • Helm ꞏ 5y
  • Kubernetes Kubernetes ꞏ 5y
  • Terraform Terraform ꞏ 5y
  • BigQuery ꞏ 5y
  • Graphana ꞏ 5y
  • Kong ꞏ 5y
  • NGINX NGINX ꞏ 5y
  • Prometheus Prometheus ꞏ 5y
  • Python3 ꞏ 5y

We are looking for an experienced DevOps Team Lead to join our all-star team. As part of your role, you will lead and manage the team that is in charge of the design, implementation, and deployment of products and infrastructure which will directly amplify our core business and enable new strategic growth opportunities. The backbone systems you’ll build will sustain extreme impression loads and support sub-second ML prediction and on-the-go ML training.

If you are experienced but still hungry to learn and impact - we’d love to have you on our team!


What You’ll Do:

  • Manage and lead the team in charge of our production infrastructure.
  • Build and implement the company infrastructure strategy and roadmap.
  • Own deployment, monitoring, troubleshooting, maintenance, and uptime of our production cloud environments.
  • Scaling our bidders and ML prediction infrastructure to support extreme loads of data and traffic - 1m QPS.
  • Work closely with Engineering and Data teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment
  • Stay on top of modern technologies with our infra stack: Kubernetes, Docker, Prometheus, Graphana, Python3, Go, BigQuery, Redis, MySQL, Nginx/Kong, Helm, Bash, Jira, terraform
  • Building, updating, and implementing CI/CD pipeline and DevOps automation processes, methodologies, and tools.


Requirements:


  • 5+ years of experience as a DevOps Engineer role, preferably at a startup company
  • 2+ years in management positions
  • Strong technical skills, good system and infrastructure understanding
  • Experienced with building the full application release cycle (CI/CD)
  • Familiar with how modern web applications work and scale
  • Networking, firewall rules management and application security knowledge
  • Ability to see the bigger picture and carry out system architecture planning
  • Experience with Kubernetes, monitoring, and relational and NoSQL databases\data warehouses or equivalent
  • Understanding of product and a passion for building software that impacts millions of use
  • A “Self-starter” with a mentality, independence with a sense of urgency



About us


Arpeely is a Data-Science startup, leveraging data analysis, ML, engineering, multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 1M requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges.


Controlling the whole user lifecycle from bid to impression, to click, to funnel experience, to product, everyone at Arpeely has the potential to lead to business breakthroughs on a daily basis. With dozens of daily deployments and quick feedback from our millions of hourly users, we are addicted to fast data feedback loops.


Our lean cross-disciplinary team of engineers, data, UX, PMs and developers work in unison to re-invent market rules and beat the status quo competition. Come [legally] hack with us the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every second.

Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP volumes of traffic, sub-second predictions and TBs of live, real-world data. Use cutting-edge analysis, ML, engineering, UX or just plain hacker-like thinking to out-perform the market.


Arpeely is now at an exciting boiling point, still bootstrapped and with a lean and mean R&D team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment.


Work from our offices in Tel Aviv, Midtown Commerce Tower

Arpeely