As a DevOps Engineer you will play a crucial role in bridging the gap between development and operations. You will be responsible for designing implementing and managing our cloud infrastructure building pipelines and deployment strategies. Your expertise in Linux system administration containerization and cloud platforms will be vital in maintaining efficient and scalable development environments.
As a rapidly growing startup we need team members who can work in a fast-paced environment produce high quality work on time work without supervision show initiative innovate be laser focused on results and have outstanding communication skills. Indicio is a fully remote global team and our clients are located around the world. You will create lasting impact and see the results of your work immediately.
Responsibilities
Infrastructure Management: Design deploy and manage cloud infrastructure on AWS and GCP. Provision cloud resources and ensure the scalability reliability and performance of our systems.
Build and Deployment Pipelines: Develop and manage build pipelines using tools like Jenkins Github Actions GitLab CI/CD or similar. Ensure automated and reliable software delivery processes.
Autoscaling and Monitoring: Implement auto scaling solutions to handle varying workloads. Set up and manage logging and monitoring infrastructure to ensure system health and performance.
Development Support: Collaborate with development teams to manage and optimize development environments. Assist in debugging by gathering and analyzing data from various sources. Participate in incident management and resolution.
Documentation and Best Practices: Create and maintain documentation for infrastructure and deployment processes. Advocate for and implement best practices in DevOps and continuous integration/continuous deployment (CI/CD).
Qualifications
Linux System Administration: Strong experience in Linux system administration including configuration troubleshooting and performance tuning (required)
Containerization: Proficiency with Docker and container orchestration platforms (required).
Build Pipelines: Experience with CI/CD tools and building automated pipelines (required).
Version Control: Proficiency with Git for version control (required).
Cloud Platforms: Hands-on experience with AWS and/or GCP including provisioning and managing cloud resources (required).
Autoscaling: Knowledge of autoscaling mechanisms and strategies (required).
Logging and Monitoring: Experience with logging and monitoring tools (e.g. ELK stack Prometheus Grafana) (required).
You must be able to legally work in the United States and pass a background check.