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