Pagefreezer is seeking a Senior Cloud Infrastructure Developer to join their Development team, focusing on the Social Media Archiving product. This role is critical for driving AWS platform stability, scalability, and operational excellence in a production multi-tenant SaaS environment processing millions of social media records daily.
What You'll Do
- Architect infrastructure solutions that balance performance with cost efficiency
- Own the evolution of the AWS cloud environment
- Champion DevOps principles and mentor team members to adopt best practices in automation and observability
- Develop and maintain resilient, cost-efficient infrastructure using AWS and other cloud services to meet evolving business needs
- Use IaC solutions to enable automated provisioning and ensure consistency across all environments
- Design, develop, and maintain advanced CI/CD pipelines, ensuring automated testing integration and deployment efficiency at scale
- Design and deploy comprehensive monitoring, logging, and alerting solutions (e.g., Kiali, Prometheus, etc) to proactively detect risks and assess system health
- Monitor AWS usage patterns to identify and implement strategies for cost reduction and resource optimization
- Implement security improvements to protect the platform's attack surface and develop disaster recovery processes to mitigate risks
- Continuously evaluate emerging paradigms - including agentic development, context engineering, and AIOps - to automate routine tasks, optimize deployment workflows, and transition infrastructure toward predictive, self-healing capabilities
What We're Looking For
- 8+ years of experience in AWS cloud technologies, operating and scaling production SaaS workloads in DevOps or Infrastructure roles
- Advanced expertise with Terraform, Helm, Jaeger tracing, centralized logging and managing of event-driven Kubernetes microservices architectures
- Hands-on experience with EKS, SQS, SNS, Lambda, AuroraDB, Keyspaces and OpenSearch, operated in high-availability production environments
- Proven experience managing Kubernetes cluster in EKS, setting up autoscaling and load monitoring criteria through tools like Karpenter
- Experience setting up and maintaining a CICD pipeline using ArgoCD, GH actions, blue/green deployments
- Strong understanding of Linux systems and proficiency in Python and scripting languages
- Track record of mentoring engineers, conducting architecture reviews and suggesting and planning for improvements
- Proven experience in tracking cloud costs and implementing effective reduction strategies
- Top-notch communication skills with a mindset focused on knowledge sharing and cross-functional excellence
- Proven experience in leveraging AI tools to surface insights faster and a passion for fostering an engineering culture rooted in automation and AI-augmented productivity
Nice to Have
- Background in software development (e.g., building services, APIs, or data pipelines) is a strong asset
Technical Stack
AWS, Terraform, Helm, Jaeger, Prometheus, Kiali, Kubernetes, EKS, SQS, SNS, Lambda, AuroraDB, Keyspaces, OpenSearch, Karpenter, ArgoCD, GitHub Actions, Python, Linux, CI/CD, IaC, AIOps, agentic development, context engineering
Team & Environment
Development team on Social Media Archiving product
Benefits & Compensation
- Values-led culture
- Named Canada’s Most Admired Culture 2023, 2024 and 2025
- Named one of BC’s Top Employers 2024
- Named one of Canada’s Top Small & Medium Employers for 2024
- 10 Days Flexible Holiday Substitution
- 10 Pre Paid Billable Days
- Volunteer Paid Time Off
- Monthly Work from Home Stipend
- Employee Stock Option Plan
- $1,000 Annual Learning Budget
- Remote first environment
- Work from (Almost) Anywhere policy
Compensation: $75,000K - 85,000K USD annually, Employee Stock Option Plan, and non-cash rewards.
Work Mode
Remote first environment with 'Work from (Almost) Anywhere' policy
Every decision to move an application forward or not is made by a human. The company uses AI tools to support recruitment by organizing and prioritizing applications based on alignment with role requirements, but encourages authentic applications and discourages reliance on AI-generated responses, especially during interviews.
