Sonar Logo

Sonar

Cloud Platform Engineer

Posted 5 Days Ago
Be an Early Applicant
Easy Apply
Singapore
Mid level
Easy Apply
Singapore
Mid level
As a Cloud Platform Engineer, you will design, implement, and maintain secure cloud-based infrastructure on AWS, develop CI/CD pipelines for AI solutions, optimize system performance, and foster a culture of automation. You will collaborate with development teams to enhance AI product delivery and resolve issues in various environments.
The summary above was generated by AI

Why should I Apply:


At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.


We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.


The impact you will have


You will be responsible for designing, implementing, and maintaining the infrastructure and deployment pipelines that support our AI solutions. You will work closely with our development and research teams to ensure seamless integration and delivery of AI models and applications. Your work will directly impact the efficiency and effectiveness of our AI products, enabling developers to spend less time fixing issues and more time innovating. You will contribute to the creation of scalable, reliable, and performant solutions that integrate seamlessly with our existing infrastructure.

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.

Why you will love it here:


Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!

We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).

We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.



We prioritize Diversity, Equity, and Inclusion:


At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures.


We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.


Please note that applications submitted through agencies or third-party recruiters will not be considered.

Top Skills

Ai/Ml
Ansible
AWS
Bash
Chef
CircleCI
Docker
Gitlab Ci
Jenkins
Kubernetes
Powershell
Puppet
Python
PyTorch
TensorFlow
Terraform

Sonar Singapore Office

Sonar Singapore Office Office

7 Straits View #19-05 Marina One East Tower , Singapore, 018936

Similar Jobs at Sonar

4 Days Ago
Easy Apply
Hybrid
Singapore, SGP
Easy Apply
Junior
Junior
Cloud • Information Technology • Security • Software
As a Machine Learning Engineer at Sonar, you will design, develop, and optimize ML workflows to enhance AI-powered developer assistants. Your role involves working on algorithms, preprocessing datasets, conducting experiments, and collaborating with teams to integrate models into production. You'll also develop documentation and stay up-to-date with advancements in machine learning.
Top Skills: AWSAzureC/C++GitGoogle Cloud PlatformHuggingfaceJavaJaxPythonPyTorchScikit-LearnTensorFlow
5 Days Ago
Easy Apply
Singapore, SGP
Easy Apply
Mid level
Mid level
Cloud • Information Technology • Security • Software
As a Frontend Engineer at Sonar, you will design and implement user interfaces for AI solutions, develop new features using React.js, and ensure seamless integration with backend systems. You'll collaborate with teams to improve user experiences, maintain code quality through testing and debugging, and optimize solutions for performance and scalability.
Top Skills: BabelCi/CdCSSDockerHTMLJavaScriptKubernetesMochaNpmReactWebpack
5 Days Ago
Easy Apply
Singapore, SGP
Easy Apply
Mid level
Mid level
Cloud • Information Technology • Security • Software
As a Backend Engineer at Sonar, you will develop, deploy, and maintain web applications for AI-driven solutions, focusing on scalability and performance. Responsibilities include designing RESTful APIs, enhancing application performance, and participating in agile development. You'll work closely with a team to integrate advanced AI models while following best practices in software development and testing.
Top Skills: AWSCi/CdCSSDockerHTMLJavaJavaScriptKubernetesReactRestful ApisSpring

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account