Senior Software Engineer building scalable Python and AWS infrastructure for d1g1t’s institutional wealth management platform. Driving implementation, deployment, troubleshooting, and large - dataset performance.
About the role
- Senior Cloud Infrastructure Developer at Pagefreezer responsible for AWS architecture and operations on a multi-tenant SaaS platform. Leading cost-efficient solutions and mentoring team members in DevOps practices.
Responsibilities
- 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 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.
Requirements
- 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.
- Background in software development (e.g., building services, APIs, or data pipelines) is a strong asset.
- 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, with bonus points for experience building production services.
- Track record of mentoring engineers, conducting architecture reviews and suggesting and planning for improvements
- A proven track record of 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.
Benefits
- Extended Health Benefits
- $600 Annual Lifestyle Spending Account
- 9 mental health/sick days
- Volunteer Paid Time Off
- Group RRSP/TFSA Retirement Savings Match
- 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
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