Startup technology firm with offices in New York, Connecticut, and San Francisco. Our client’s platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. 

Description:

You will be joining a team of high-performance engineers and have a significant impact on managing a growing infrastructure and service delivery. You’ll be tasked to maintain the health of the platform in a variety of environments,  building reliability into our stack, improving our availability, and customizing our DevOps and deployment tool chain.

Responsibilities:

  • Collaborate with app, platform engineers and product managers to continuously improve the platform
  • Design and Implement the platform infrastructure that allows development teams to deploy and run their services 
  • Research and implement solutions across verticals like configuration, service routing, observability, and service discovery 
  • Design and implement automation for creation and configuration of infrastructure and services
  • Support and guide the engineering teams to effectively move to a container-based platform

Qualifications:

  • 6+ years of experience 
  • Experience with containers and orchestration (Docker, Kubernetes)
  • Systems fluency (Linux, storage, networking)
  • Cloud IaaS native (AWS, GCP, Azure)
  • Infrastructure and configuration automation (Terraform, SaltStack)
  • Observability systems (New Relic, Prometheus, ELK)
  • Strong Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc. 
  • Programming and scripting experience (Python, Go, Bash)
  • Experience with modern software components (Mongo, Redis, ElasticSearch, RabbitMQ, Kafka, Play)
  • Exceptional problem solving acumen
  • Enjoy being part of a highly collaborative, fast paced environment

Base Salary Range: $100,000 – $150,000

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