Platform Engineer

Ready to join the future of work?

Come joina remoteandhybridfirst*, globalcompanyspanning across the Americas, Europe,Asia,and AfricaforA Job That Works for You.You will become among900+ Guardiansworldwidespread across 50+ countries, embracing YOUR unique approach to work.🌎

Our visionofthe future of work is“workinanyway”whichoffersflexibility for whereyouwork,empoweringyou to define your ideal work environment,unbound by the traditional notions of what work should look like. Most importantly, it puts people first!🤩

(*As standard we are a remote-first company, however some rolesare required tohave more of an office presence - we are happy to confirm this during ourinitialcall 😊)

How you will make a difference:
We are seeking an experienced Platform Engineer to design, build, and manage secure, scalable, and resilient cloud platforms on AWS. The role focuses on cloud infrastructure, DevSecOps, automation, reliability, microservices, serverless, event-driven architectures, data pipelines, and supporting AI/ML workloads.

• Design, deploy, and manage scalable, highly available AWS cloud infrastructure

• Build and maintain secure cloud platforms with governance and standardization

• Architect and support microservices, serverless, and event-driven systems

• Implement and optimize CI/CD pipelines with integrated DevSecOps practices

• Embed security controls including IAM, encryption, vulnerability scanning, and compliance checks

• Develop and manage Infrastructure as Code using Terraform or CloudFormation

• Improve system resiliency through high availability, backups, disaster recovery, and fault tolerance strategies

• Build and manage ETL pipelines and data workflows in cloud environments

• Apply SRE principles including monitoring, alerting, incident response, and capacity planning

• Automate operational workflows using Python, Bash, or other scripting languages

• Support AI/ML workloads by enabling scalable infrastructure, inference and security.

• Implement and maintain MLOps pipelines for model versioning, automated training, testing, and deployment

• Integrate model monitoring, performance tracking, and drift detection in production environments

• Troubleshoot production issues and perform root cause analysis

• Collaborate with cross-functional teams and document platform architecture and processes

What will make you stand out:  

• Strong expertise designing and engineering solutions on AWS cloud platforms
• Proven experience building modern CI/CD pipelines and embedding DevSecOps best practices into delivery workflows
• Deep understanding of microservices, serverless, and event-driven architectures at scale
• Experience creating and managing robust ETL and cloud-based data pipelines
• Strong Infrastructure as Code capabilities using Terraform, CloudFormation, or similar tools
• Excellent scripting and automation skills with Python, Bash, or related languages
• Solid Linux administration and troubleshooting experience in production environments
• Good understanding of networking concepts including DNS, VPCs, load balancers, and firewalls
• A degree in Computer Science, Engineering, or equivalent hands-on industry experience
• A passion for building resilient, secure, and highly available cloud environments
• Strong analytical thinking, problem-solving ability, and clear communication skills
• A proactive mindset with the curiosity to learn, innovate, and continuously improve systems and processes