Senior Platform Engineer - Cloud Infrastructure & DevOps at Firstlightai.

About the role As a Senior Platform Engineer specializing in Cloud Infrastructure and DevOps at Firstlightai, you will play a pivotal role in shaping our cloud architecture and enhancing our DevOps practices. This position is designed for an experienced engineer who is passionate about building scalable and reliable cloud solutions. You will collaborate closely with cross-functional teams to ensure our infrastructure meets the demands of our rapidly growing AI-driven applications. Your expertise will help streamline our deployment processes, improve system performance, and contribute to the overall success of our cloud initiatives.

Key facts

- Location: Toronto, Ontario
- Engagement: Full-time

What you'll do

- Design and implement robust cloud infrastructure solutions that support our AI applications, ensuring high availability and scalability.
- Collaborate with software engineering teams to integrate DevOps practices into the development lifecycle, enhancing deployment speed and reliability.
- Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
- Monitor system performance and reliability, proactively identifying and resolving potential issues before they impact users.
- Develop and maintain CI/CD pipelines to facilitate seamless code integration and deployment processes across various environments.
- Implement security best practices within the cloud infrastructure to safeguard sensitive data and ensure compliance with industry standards.
- Participate in architectural discussions and contribute to the evolution of our cloud strategy, ensuring alignment with business goals.
- Provide mentorship and guidance to junior engineers,



fostering a culture of continuous learning and improvement within the team.
- Conduct regular performance tuning and optimization of cloud resources to manage costs effectively while maintaining service quality.
- Collaborate with the product management team to understand user requirements and translate them into technical specifications for cloud solutions.
- Stay updated on the latest trends and technologies in cloud computing and DevOps, bringing innovative ideas to the team.
- Document processes, architectures, and configurations to ensure knowledge sharing and maintainability across the engineering team.

Requirements

- A minimum of 5 years of experience in cloud infrastructure engineering, with a robust focus on AWS, Azure, or Google Cloud Platform.
- Proven experience in implementing DevOps practices, including CI/CD, automation, and monitoring.
- Strong proficiency in scripting languages such as Python, Bash, or Ruby for automation tasks.
- In-depth knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes.
- Familiarity with Infrastructure as Code (IaC) tools, preferably Terraform or AWS CloudFormation.
- Experience with configuration management tools like Ansible, Chef, or Puppet.
- Solid understanding of networking concepts and cloud security principles.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
- Strong communication skills,



both verbal and written, to effectively convey technical concepts to diverse audiences.
- A bachelor's degree in Computer Science, Engineering, or a related field is preferred.

Nice to have

- Experience with serverless architectures and technologies such as AWS Lambda or Azure Functions.
- Knowledge of machine learning frameworks and their deployment in cloud environments.
- Familiarity with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.
- Previous experience in a startup environment or working with AI-driven applications.
- Relevant certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Google Cloud Professional DevOps Engineer).

Skills & tools

- Cloud Platforms: AWS, Azure, Google Cloud Platform
- DevOps Tools: Jenkins, GitLab CI, CircleCI
- Scripting Languages: Python, Bash, Ruby
- Containerization: Docker, Kubernetes
- Infrastructure as Code: Terraform, CloudFormation
- Configuration Management: Ansible, Chef, Puppet
- Monitoring Tools: Prometheus, Grafana, ELK Stack

Practical notes

- This position is based in Toronto, Ontario, and is a full-time role.
- The salary range for this position is competitive and commensurate with experience.
- Firstlightai is open to sponsoring work visas for qualified candidates.
- Candidates should be prepared to provide examples of previous work and discuss their approach to cloud infrastructure and DevOps practices during the interview process.

Join Firstlightai and be part of a dynamic team that is pushing the boundaries of AI technology through innovative cloud solutions. Your expertise will be crucial in driving our mission forward and delivering exceptional value to our clients.

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📌 Senior Platform Engineer – Cloud Infrastructure & DevOps (Toronto)
🏢 firstlightai
📍 Toronto