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, focusing on automated software engineering and continuous delivery.

In Short

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.