Site Reliability Engineer

Noesis is looking for a Site Reliability Engineer to lead services and teams to reliability tenets. The role involves designing scalable infrastructure, ensuring systems are resilient and performant, and automating operational tasks with a focus on incident detection and recovery.

• Lead and onboard services and teams to the reliability tenets
• Establish and maintain Service Level Objectives (SLOs) and Service Level Agreements (SLAs)
• Design and implement scalable, reliable, and secure infrastructure, while ensuring cloud-native best practices
• Collaborate with software development teams to ensure systems are resilient (observable, faulttolerant, recoverable, scalable) and performant
• Implement monitoring, alerting, logging, and tracing solutions to detect and respond to incidents
• Lead incident response efforts, ensuring quick resolution and minimal downtime, and conduct RCA/post-mortems
• Automate every operational task, with a special focus on fast incident detection & recovery
• Foster a culture of continuous improvement and knowledge sharing
• Communicate effectively with stakeholders, providing updates on system reliability and performance
• Participate in on-call rotation to provide 24/7 support for production systems

• STEM degree (BSc, MSc, in Software Engineering/Computer Science or related fields)
• 5+ years of experience in software development and/or operations
• Proficiency in at least one high-level programming language (C++, Python, Java, C#, etc.)
• Strong troubleshooting and debugging skills
• Fluency in English and excellent communication skills
• Ability to establish, monitor, and improve Service Level Objectives (SLOs), Indicators (SLIs), and Agreements (SLAs) in line with business needs
• Containerization technologies and orchestration platforms, mainly Kubernetes and EKS
• Experience with automation and Infrastructure as Code (IaC) tools, such as AWS CloudFormation, Terraform, Puppet, Chef, Spacelift, etc
• Experience with Python, Go, Bash/Shell scripting, or other automation tools/languages
• Familiarity with AWS services like EC2, RDS, ELB, CloudFront, Lambda, etc
• Proficiency in monitoring and troubleshooting complex distributed systems
• Experience with Grafana, ELK stack, Prometheus, or others
• Strong understanding of designing resilient and fault-tolerant systems
• Expertise in debugging complex distributed systems

• CKA, CKAD, CKS certifications are valued

• continuously invests in training its talents

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.