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As the Lead Software Engineer - Cloud Infrastructure, you will collaborate with development and quality engineering to build and maintain our continuous integration pipeline from development to production. You’ll bring a strong systems background and an eye toward automated software engineering and continuous delivery. Your deep understanding of SaaS and cloud technologies, combined with your leadership skills, will be vital in shaping the future of Corelight's Open NDR SaaS Platform.
Job Responsibility:
Design, deploy, and maintain cloud infrastructure solutions on platforms such as AWS, Azure, or Google Cloud Platform (GCP)
Develop automation scripts and tools to streamline provisioning, configuration, and management of cloud resources
Collaborate with software development teams to integrate cloud services into applications and workflows
Implement monitoring and alerting systems to ensure the performance, availability, and security of cloud environments
Optimize resource utilization and cost efficiency through continuous monitoring, analysis, and optimization of cloud infrastructure
Stay current with emerging technologies and best practices in cloud computing, DevOps, and infrastructure automation
Participate in the resolution of production incidents and contribute to post-mortem analysis and improvement efforts.
Requirements:
Bachelors or Masters degree in Computer Science or related fields, or equivalent experience
10+ years of professional experience in cloud infrastructure engineering or related roles
Strong programming skills in languages such as Bash, Python, Go
Experience with infrastructure-as-code (IaC) tools such as Terraform, CloudFormation
Proficiency in scripting/programming languages such as Python, Bash, or PowerShell
Experience with automation tools like Jenkins, GitLab, and Ansible/Chef
Understanding of networking concepts, security best practices, and cloud-native architectures
Experience with cloud platforms like AWS, Azure, or Google Cloud
Strong communication and collaboration skills
Experience with Observability tools such as Prometheus, Grafana, ELK stack, or similar
Hands-on experience with Docker, Kubernetes, or similar technologies
Knowledge of security practices and standards in cloud environments
Experience with SLI, SLO, SLA, and Error Budget concepts
Strong problem-solving skills and ability to troubleshoot complex issues under pressure
Familiarity with Agile methodologies and DevOps/SRE practices
Excellent documentation skills
Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
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