Cloud Platform Engineer
SonarSource
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Singapore
On a daily basis, you will
- Design, develop, and maintain secure cloud-based infrastructure using AWS.
- Develop and maintain CI/CD pipelines for the latest AI models and products.
- Monitor and optimize the performance, availability, and reliability of production systems.
- Continuously improve our solutions by staying abreast of the latest trends in AI and Infra.
- Proactively identify and resolve issues by leveraging monitoring and logging tools.
- Implement secure practices and compliance measures.
- Document processes and maintain a repository of knowledge.
- Provide necessary training on DevOps and infrastructure management.
- Resolve environment-related issues across development, testing, and production environments.
- Foster a culture of automation and continuous development by challenging the status quo.
- Participate in all aspects of agile software development, from design to deployment.
- Participate in code reviews and provide constructive feedback to other developers.
The skills you will demonstrate
- Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field.
- At least 3 years of experience as an Infrastructure Engineer or in a similar role.
- Proficiency in Infrastructure as Code (IaC) with at least one of the following tools: AWS CloudFormation, AWS CDK (preferred), or Terraform.
- Proficiency in scripting languages such as Python, Bash, or PowerShell.
- Experience with AWS services such as Lambda, EC2, ECS, SNS, SQS, and RDS.
- Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or CircleCI.
- Expertise in containerization technologies and orchestration tools (i.e. Docker, Kubernetes).
- Understanding of network protocols, security architecture, and microservices architecture.
- Excellent debugging, optimization skills, communication and teamwork skills.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Fluent in English, both written and spoken.
Nice to have
- Master's degree (or equivalent) in Computer Science, Engineering, or related field.
- Knowledge of AI/ML deployment and scaling requirements is an advantage.
- Familiarity with configuration management tools such as Ansible, Puppet, or Chef.
- Experience working with generative AI technologies (e.g. GPT-4, BedRock) and/or machine learning frameworks (TensorFlow, PyTorch).
- Experience using and configuring static analyzers as part of the development process.
This job is no longer accepting applications
See open jobs at SonarSource.See open jobs similar to "Cloud Platform Engineer" General Catalyst.