Senior DevOps Engineer

Firebolt - Remote (30+ days ago)

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Who we are

Firebolt is a new era in the big-data space. We’re building a revolutionary cloud data warehouse as-a-service, completely redesigned for the era of clouds, lakes, and impossible data challenges. Firebolt is a well-funded startup, founded by ex Sisense founders and some of the leading high-performance database experts in the world.

About the tech stack

Firebolt is composed of several open-source projects and relies on a unique IP that boosts data analytics and enables full scalability and decoupling compute from storage.

Our SQL core teams work with C++. Our backend teams work with Go, Python, Rust in order to create microservices exposing REST APIs and GraphQL interface. We are using both CockroachDB and FoundationDB as application data storage. Our frontend teams work with TypeScript, React, Redux + Apollo. CI/CD is handled by a combination of CircleCI and CodeDeploy to test and deploy code to production. The infrastructure is managed as code with Terraform and services are monitored using Prometheus and Grafana.

About the job to be done

Join our DevOps team and stack
Design, build and maintain a highly available 24/7 global AWS cloud infrastructure of a high-scale Data Warehouse SaaS product
Take part in the definition of our R&D ecosystem and ALM

About you

BSc degree in Computer Science, Engineering, or a related field
5+ years of hands-on experience as a DevOps engineer
3+ years of experience in large-scale project management of distributed systems running on AWS
2+ years of experience with "Infrastructure as a code" tools such as Terraform, Ansible or similar
2+ years of experience with container orchestration on Kubernetes
Has built/led/developed a diverse team of technology engineering and data professionals by optimizing the use of resources to achieve departmental and organizational objectives
Demonstrated ability to set technology direction and oversee successful delivery and/or support of technology solutions preferred
Experience in Cloud and Data Management Engineering, engineering solutions for Data Management
Developing and managing operations leveraging messaging and DB services such as Kafka, DynamoDB, Kinesis, Cloud Pub/Sub, etc monitoring & logging systems (ELK, DataDog, Graphite/Grafana, etc)
Experience in monitoring/logging technologies such as: ELK, Prometheus, Graphite, Grafana
Expertise in SaaS Big Data Analytics technologies e.g. Redshift, Snowflake, BigQuery, Athena
Solid understanding of data security and privacy technologies
Strong customer focus (internal and external). Understanding of customer centricity and design thinking to drive solutioning
Directs and oversees the management of the IT budget process, costs, and resources for cloud & data engineering-related initiatives