DevOps Engineer

The Company



Glassbox's mission is to empower enterprises to shape trusted, frictionless digital experiences.

Glassbox is a leading force in shaping digital experiences. It helps organizations uncover digital issues, boost conversion rates, enhance accessibility, prevent fraud, and more. Leveraging AI-driven customer intelligence, Glassbox enables enterprises to deliver secure, proactive, and preventative digital experiences. Its solutions are trusted by highly regulated organizations, including SoFi, Cal, and many others. We are growing and have been recognized by G2 as one of 2024's Top 50 Software Companies in the world.

Glassbox is looking for a DevOps Engineer to join our global team.

What You Will do?

You will work with cutting-edge technologies and tackle a wide range of challenges in building a scalable, globally distributed infrastructure.

In this role, you will:

• Work with a diverse set of technologies, simplifying complex solutions.
• Collaborate closely with multiple teams across the organization.
• Be part of a team responsible for designing, optimizing, and maintaining a high-scale production environment that handles massive traffic loads with high complexity.
• Architect, deploy, and maintain robust and scalable cloud infrastructures on AWS and Azure.
• Develop and optimize CI/CD pipelines to support automated deployment, testing, and scaling across multiple environments.
• Implement and manage monitoring, logging, and alerting solutions across cloud platforms to ensure application health and performance.
• Provide advanced troubleshooting and resolution for infrastructure issues in production, development, and testing environments.
  
  

What You Will Need?

• 4 years of experience in a DevOps or related engineering role, with a strong background in AWS and cloud-native environments. Proven ability to design, manage, and maintain high-scale production systems, ensuring reliability, performance, and scalability.
• Deep expertise in cloud technologies and application security, with a strong focus on best practices for securing resilient, scalable, and cost-efficient architectures.
• Extensive experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm.
• Proficiency in automation tools such as Terraform, and hands-on experience with CI/CD pipelines using tools like Jenkins.
• Strong knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, Loki) to ensure system health, optimize performance, and proactively detect issues.
• Proficiency in scripting languages (e.g., Node.js, Bash) to automate workflows and enhance operational efficiency.
• Excellent communication, collaboration, and documentation skills, with a proactive approach to problem-solving.
• Passionate about learning new technologies and tackling complex challenges in a fast-paced environment.
• Hands-on experience managing big data infrastructure, optimizing performance and scalability for data-intensive applications.
  
  

An Advantage

• Proficiency in database technologies, including Cassandra, Elasticsearch, ClickHouse, and PostgreSQL HA.
• Expertise in Kafka cluster administration, including cross-region replication and high-availability configurations.
• Experience with MLOps workflows and infrastructure, including model deployment, monitoring, and scaling in production environments.