At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.
Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.
Our team is growing, and we are looking for engineers with passion for automation. You will help support the Lacework service and play a key role in building, operating, and improving the Lacework Cloud Security Platform, the world's best real-time cloud-native threat detection system.
Our team develops and supports services that perform automated operations in order to scale the Lacework infrastructure & service. To do that, we build and support observability tooling and work with engineering to continually build more telemetry and observability into the services. To be successful you will conceive, define develop, deploy and operate internal tooling, APIs, and frameworks which streamline our workflows and automate our infrastructure,
You will provide top tier support for our services and keep them highly available. You know that the only thing that matters is Customer Happiness.
This role is based in Seattle, WA. We use a hybrid work model of 2 days in the office per week and offer relocation assistance to new employees.
Your Opportunity:
Automation. Automation. Automation.
Design, build and improve service scalability, resiliency, and efficiencies across the company.
Identify mission-critical problems and solve them via automation, tooling, communication, and informed design.
Build and improve monitoring and instrumentation to predict future scalability or failure risks and solve them before they manifest into customer-facing issues.
Facilitate company-wide visibility into key metrics, SLAs, and milestones so that scale and resiliency are a part of every conversation.
Develop best practices alongside engineering/operations teams to improve the scalability and reliability of internal processes.
Participate in an on-call rotation.
Your Professional Profile:
10+ years DevOps experience
Strong development and automation skills.
Extensive experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, etc).
Extensive experience with a variety of AWS services (e.g. ECS, Lambda, S3, EC2, RDS, EFS, ALB, VPC).
Experience building production quality cloud infrastructure that enables reliable and rapid deployment of microservices with effective monitoring and resilient operations.
Strong passion for improving the lives of coworkers while ensuring a stable, reliable experience for customers.
Strong cross-team communication skills.
Experience with the building blocks of large-scale systems including load balancing, distributed/cloud computing, containers, instrumentation, and monitoring.
Familiarity with one or more programming languages (Python, Ruby, Golang….).
Any of the following would be additionally beneficial:
Desire to "build for lazy" and build systems and computers that reason for us
Experience with Java application servers and JVM configuration
Experience with monitoring & observability systems like Prometheus or DataDog and tools or frameworks like telegraf and OpenTracing
Believe everything should be "as code"
Experience in Systems, Operations, or Full-Stack Development is a major bonus
Mountain View, CA
We started Lacework with a group of the most insightful thinkers in cloud security. We developed a concept that cloud security could be provided as an end-to-end experience with better context, more intelligence, and more sophisticated threat detection. Our founding team had a vision for applying machine learning to the behaviors of resources, users, and all activity in the cloud, which would provide a more accurate picture of where actual threats existed. This approach provides our customers with more contextual, accurate data and alerts.
The Lacework team is focused on giving customers visibility and control over their cloud operations at cloud scale to the monitoring of all activities across all cloud components.