Responsible for designing, building, maintaining, and scaling production services and server farms across multiple data centers for complex and data-intensive cloud services.
Design and enhance software architecture to improve scalability, service reliability, capacity, and performance.
Write automation code for provisioning and operating infrastructure at massive scale. You are not an operator, you’re an experienced software engineer focused on operations.
Work with development teams to make sure the applications fit nicely within the infrastructure and scalability/reliability is designed and implemented from the grounds up. You will work with QA on building pipelines and automation for delivering and deploying applications to production.
Roll up the sleeves to troubleshoot incidents, formulate theories and test your hypothesis, and narrow down possibilities to find the root cause.
Write postmortem reviews and remediation recommendation.
Identify bad trends before they become problems; respond to automated system alerts, effectively troubleshoot system errors and work incidents to return systems to normal operating conditions
Author and update high-quality documentation of all relevant specifications, systems and procedures
Support and comply with the company’s Quality Management System policies and procedures.
Required skills and qualifications
Bachelor’s degree (or equivalent) in computer science or related discipline
Knowledge of IaC technologies such as Terraform, Ansible, Puppet, Chef.
Knowledge of Cluster creation and management through Kubernetes
Knowledge of Microsoft Azure, AWS, Google Cloud, Azure services, Virtual Machine in Azure, Virtual Network Configuration.
Knowledge in design patterns such as: Iaas, Paas, and Saas
Knowledge in CI/CD
Scripting knowledge with PowerShell
IPs and Mask knowledge
Ability to program (structured and OOP) using one or more high-level languages, such as Python, Java, C/C++, Ruby, and JavaScript
Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, as well as dynamic resource management frameworks (Apache Mesos, Kubernetes, Yarn)
Proactive approach to identifying problems, performance bottlenecks, and areas for improvement
What we offer:
Base Salary and permanent contract directly with the company
Continuous training plan with paid certifications
Carreer plan according to your development and knowledge
Benefits above the law: 12 days of Paid Time Off, 30 day Christmas Bonus, Medical Insurance, Life Insurance, Savings Fund, Groceries Bonus
Quarterly Performance Bonus
Computer equipment for your work
Optional 100% Home Office
