Cloud Architect at AtScale
Job Description
$150k – $230k • 0.0% – 1.0%
Company Overview
AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. AtScale empowers customers to democratize data, implement self-service BI, and build a more agile analytics infrastructure for more impactful decision making.
Job Description
As a core contributor to the new SaaS offering from AtScale, you will help design and develop cutting edge solutions for complex data operations and analytics. You will be key in helping us leverage cloud technologies not only for our own infrastructure but also in the design of our product offerings. Management is optional but mentorship is key.
Responsibilities
- Design, build, orchestrate, and automate infrastructure, applications, and monitoring tools
- Help establish best practices, document designs, and mentor junior team members
- Define requirements, estimate work, track dependencies, report progress, highlight blockers
Requirements
- BA/BS preferred in a technical or engineering field
- 4+ years experience
- Experience with cloud-native development with cloud providers like AWS, MSFT Azure, or GCP (e.g. AWS – API Gateway, Lambda, SMS, ECS, EKS, etc.)
- Experience with infrastructure-as-code and technologies such as Terraform
- Experience with Docker and orchestration technologies such as Kubernetes and Helm charts
- Experience designing robust systems for HA, Fail Over, and Disaster Recovery
- Experienced in the design, configuration, and maintenance of services for metrics, logging, and monitoring of the platform using tools such as ELK, Prometheus, and Grafana
- Experience with CI/CD and testing and familiarity with tools such as Jenkins and Git workflows.
- Familiarity with cloud security considerations such as NACLs, Security Groups, RBAC, etc.
- Familiarity with different types of databases and cloud native variants (e.g. Snowflake, BigQuery, RDS, Redshift, Neptune, DynamoDB, Cosmos, Athena)
Preference will be given to candidates with
- Experience contributing to a production code base
- Experience with devops best practices and tools such as Github, related automation, etc
- Experience designing and automating ETL/ELT workflows using cloud services such as AWS data pipelines, Glue, EMR, and airflow or Azure DataFactory
