Role Overview
We’re seeking a seasoned Cloud Infrastructure Developer to shape the backbone of our cloud-native SaaS platform. In this role, you’ll be responsible for designing, scaling, and securing our AWS-based infrastructure, ensuring it remains resilient, efficient, and future-ready. You'll work at the intersection of infrastructure, automation, and emerging AI practices to build systems that are self-sustaining and intelligent by design.
Key Responsibilities
- Design and deploy highly available, fault-tolerant cloud architectures using AWS services such as EKS, Lambda, AuroraDB, and OpenSearch.
- Implement and manage Infrastructure as Code using Terraform and Helm to ensure consistency and repeatability across environments.
- Build and refine CI/CD pipelines with ArgoCD and GitHub Actions, supporting blue/green deployments and automated testing at scale.
- Establish robust observability through Prometheus, Kiali, and centralized logging to monitor system health and detect issues proactively.
- Continuously analyze cloud spending patterns and implement optimization strategies to improve cost efficiency without sacrificing performance.
- Strengthen platform security by reducing attack surface, enforcing best practices, and developing disaster recovery protocols.
- Explore and integrate AI-driven methodologies—such as AIOps, agentic workflows, and context engineering—to automate operations and enable predictive infrastructure behavior.
- Guide and mentor engineering peers through code reviews, architecture discussions, and knowledge-sharing initiatives.
What We’re Looking For
- Minimum of 8 years’ experience managing production-grade AWS environments for SaaS applications.
- Deep proficiency with Kubernetes (EKS), Terraform, Helm, Prometheus, and event-driven microservices.
- Proven experience scaling containerized workloads using Karpenter and monitoring distributed systems with Jaeger and logging stacks.
- Strong scripting skills in Python and solid understanding of Linux-based systems.
- Experience building and maintaining CI/CD pipelines with deployment automation and rollback strategies.
- Demonstrated ability to lead cost optimization efforts and track cloud expenditure trends.
- Excellent communication skills with a commitment to collaboration and technical mentorship.
Nice to Have
- Background in software development, particularly in building APIs, services, or data pipelines.
- Experience developing production systems enhanced by AI tooling.
- Passion for cultivating engineering cultures that prioritize automation, learning, and intelligent operations.
Our Environment
This is a remote-first role with a global reach—work from nearly anywhere. We operate in a flexible, inclusive environment guided by core values that emphasize transparency, innovation, and shared growth. Recognized as one of Canada’s Top Employers and BC’s Best Workplaces, we invest in our team through an annual learning budget, stock options, flexible time off, and a monthly stipend for remote work setups.
Compensation & Benefits
The salary range for this position is $75,000–$85,000 USD annually, complemented by equity through an Employee Stock Option Plan and non-cash rewards. Additional benefits include flexible holidays, paid volunteer time, and support for continuous professional development.
Our Commitment to Inclusion
We use AI tools during recruitment to help organize and evaluate applications based on role alignment. However, all advancement decisions are made by people. We encourage authentic applications and meaningful engagement throughout the hiring process.
