DevOps Engineer

About the job

Versatile is a Construction Tech Company that has pioneered a new way to capture jobsite performance data, that naturally fits existing workflows. Our vision is to connect all fragmented pieces of the construction process to a single source of productivity and precision. We transform construction professionals into superheroes and construction into a truly controllable process.

We are looking for a Mid-Level DevOps Engineer thirsty for knowledge and passionate about I.O.T/cloud services integration. You will play a key role in shaping the DevOps culture, and processes, and owning the development and production environments and their operating tools. If you are a fast learner, passionate about development operations/SaaS agnostic cloud server stacks, and cloud services (AWS), and enjoy designing, developing, and mastering languages (such as Bash, Python, JS), figuring out what makes development environments tick, building deployment/continuous integration tools, and want to make a difference in an innovative company, come work with us!

What you will be doing:

• Building highly flexible & scalable systems with a start-up mentality to enable exceptional company growth.
• Cloud-based security architecture/design.
• Building and maintaining the CI/CD pipeline to enable fast and efficient service delivery to production.
• Designing, maintaining, configuring, and ensuring the reliable operation of our production and development environments.
• Continuously working to optimize cloud costs.
• Helping to define and own the monitoring infrastructure.

Requirements:

• At least 3 years of hands-on experience as a DevOps engineer.
• Solid 2 years of experience in the AWS ecosystem.
• Solid understanding of ECS, Docker, and Terraform.
• Ability and drive to self-learn new technologies
• Excellent development abilities in at least one scripting language (e.g., Bash, Python, JS, etc.).
• Experience with SQL and NoSQL Databases.
• Advantage: Experience with implementing CI/CD and automation in a complex environment.
• Advantage: Experience in monitoring tools (AWS CloudWatch, DataDog, Grafana, etc.).
• Advantage: Experience in one or more of the following: Kubernetes, PowerBI, Databricks.