About Us:

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 and engineering or just plain hacker-like thinking to out-perform the market.

Arpeely is a Data-Science startup, leveraging data analysis, ML, engineering and multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 0.5m 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. Arpeely is a Google AdX vendor and serves clients spanning from startups to S&P 10 companies.

We are looking for an experienced DevOps Engineer to join our all-star team. As part of your role, you will be instrumental in 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 help build will sustain extreme requests loads and support sub-second ML prediction and on-the-go ML training. We are particularly looking for someone with a strong MLOps and Python development background.

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

What You’ll Do:

• Collaborate with the team to manage and enhance our production infrastructure.
• Contribute to the company infrastructure strategy and roadmap.
• Own deployment, monitoring, troubleshooting, maintenance, and uptime of our production cloud environments.
• Scale our services and ML prediction infrastructure to support extreme loads of data and traffic - Over 1M QPS at sub-second latency.
• 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, Helm,Terraform, Docker, Prometheus, Grafana, Python, Go, BigQuery, Redis, MySQL, Nginx/Kong, Bash, Aerospike.
• Develop, update, and implement CI/CD pipeline and DevOps automation processes, methodologies, and tools.
• Integrate MLOps practices to streamline ML model development, deployment, and monitoring.

Requirements:

• 3+ years of experience as a DevOps Engineer role, preferably at a startup company.
• 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.
• Strong experience with Python, including scripting and automation.
• Experience with MLOps practices and tools.
• Understanding of product and a passion for building software that impacts millions of users.
• A “Self-starter” mentality, independence with a sense of urgency.