Platform Engineer managing AWS infrastructure and CI/CD pipelines for Kento Health's cardiac care solution. Collaborating with engineers to ensure scalability and reliability of services.
About the role
- Platform Engineering Manager overseeing hybrid and cloud infrastructures for a tech company. Leading team improvements in production and developer experience across multiple regions.
Responsibilities
- Design, document, implement and maintain hybrid and multiple cloud infrastructures whilst working closely with other cloud and engineering teams to implement projects and infrastructure improvements.
- Communicate and work alongside various application and development teams to increase our uptime and maintain SLO and SLA.
- Attend internal and third-party meetings covering incidents or service improvements.
- Become a subject matter expert in our Product offerings, how they are served by infrastructure be it cloud or physical and ensure right sizing / scalability.
- Ensure all systems are observable, promote a culture of fix before fail.
- Bring positive and eager attitude to the team.
- Draw on best practices and your knowledge of internal and external business issues to improve products or services.
- Manage a team of 2 other platform engineers, having proactive coaching and development discussions with them.
- Work with the CTO to develop and maintain the roadmap for the platform engineering team.
- Manage the time of the team ensuring projects are delivered on time and any delays are proactively communicated to stakeholders.
Requirements
- Excellent customer facing/customer service skills.
- Able to troubleshoot/work under pressure, meet deadlines.
- Experience with Observability Systems, e.g., New Relic.
- A thorough understanding and commercial experience of AWS cloud technologies, e.g., EC2, ECS, Route53, S3.
- A specific focus on AWS serverless components and deployment pipelines e.g., Lamda, API Gateway, DyanmoDB, Auroura, Terraform, Cloudformation etc.
- Various Database architecture experience, e.g., MariaDB, Cassandra.
- Proficiency in two or more scripting languages, e.g., Python, Bash, PowerShell.
- Understanding of Site Reliability Engineering and key concepts.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
LP
AWS Platform Engineer – AWS / DevOps
LinkedIn Recruiter Post
AWS Platform Engineer role focusing on AWS infrastructure and DevOps practices. Contract position with hybrid work arrangement in Toronto.
Développeur logiciel pour l’équipe Platform Engineering de Genetec, responsable du système d’authentification unique. Travaillant sur des solutions d’architecture de microservices dans un environnement cloud, avec des technologies à jour.
Platform Engineer developing robust data and ML platform components at Homebase. Collaborating with teams to enable data - driven features and ensure seamless integration.
Staff Endpoint Engineer managing macOS devices for Affirm’s employee - facing IT experience. Responsibilities include scaling device management and leading automation initiatives to enhance security and productivity.
Data Platform Engineer Intern at Canada Life designing cloud - based data solutions. Contributing to analytics enablement and partnering with stakeholders to enhance data platform capabilities.
Senior Power Platform Developer responsible for enhancing certification platforms and integrating cloud services. Collaborating with engineering teams to enable auto - certification and seamless integration in the Toronto office.
Senior Platform Engineer at Float, designing and maintaining cloud infrastructure and developer platforms. Focus on high performance, scalability, security, and automation for financial services.
AI Platform Engineer at Circle leveraging AI technology to enhance customer experience. Focused on production AI systems and infrastructure for measuring performance and accuracy.
AI Platform Engineer at Kayzen designing internal AI frameworks and enabling integration of AI features. Working on AI tooling for rapid deployment of AI - powered solutions across teams.