DevOps Engineer

September 25

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Logo of Softgic

Softgic

Cloud • Cybersecurity • Artificial Intelligence

Softgic is a technology company focused on driving digital and cognitive transformation for its clients. With over 12 years of experience, Softgic provides innovative and tailored solutions across various areas, including software development, cloud data security, the metaverse, and automation. Their approach combines design, coding, and implementation to enhance business processes and ensure security and efficiency in technological infrastructure.

📋 Description

• Configure and operate monitoring, logging, and tracing tools; collaborate with developers to enhance application logging for problem detection. • Build operational dashboards, create alerts and automation workflows to guarantee system reliability and uptime; define and track key reliability metrics. • Monitor system performance and reliability, implement improvements and additional alerts as necessary. • Work closely with software engineering teams to design and implement robust, reliable systems. • Write and maintain automation tasks to streamline infrastructure and development processes. • Participate in a 24/7 on-call rotation to respond to alerts and incidents; perform root cause analysis and post-mortem reviews. • Implement and manage security and compliance best practices across infrastructure and CI/CD pipelines. • Manage and optimize AWS EKS Kubernetes clusters for deployment, scaling, and operation of containerized applications. • Design, build, and maintain scalable, customer-facing infrastructure on AWS using Terraform. • Collaborate with developers and QA teams to streamline code deployment and testing workflows. • Partner with Database Administrators to gather requirements and configure database connection parameters. • Provide support for Linux-based environments across development, staging, and production.

🎯 Requirements

• 5+ years of professional experience in Site Reliability Engineering (SRE), DevOps, or a related field. • Familiarity with SRE concepts such as SLI/SLOs and Golden Signals. • Strong problem-solving skills and ability to work independently and collaboratively. • Proven experience with Kubernetes (monitoring, deployment, scaling, networking). • Deep understanding of AWS services (EC2, EKS, S3, IAM, CloudWatch, etc.). • Experience with CI/CD pipelines, preferably using GitHub Actions. • Scripting expertise in Bash Shell. • Solid knowledge of Docker and container registries. • Proficiency with Linux-based systems and troubleshooting system-level issues. • Preferred: Experience with Helm charts for Kubernetes deployments. • Preferred: Knowledge of networking fundamentals and security best practices. • Preferred: Familiarity with Agile development methodologies and the DevOps culture.

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