At Bettermode, we are redefining how businesses streamline customer experiences and foster robust relationships. Our platform empowers businesses to seamlessly craft powerful web apps with engagement tools in its core tailored to their unique needs. Join us as we continue building tools that redefine customer engagement From your very first day, you and your family are covered by comprehensive Canadian health benefits—dental and vision included—so you can focus on what matters most. Enjoy unlimited paid vacation days, paid parental leave to support your family, and bereavement leave should you need it. You’ll have all the equipment you need provided, or you can bring your own device and access our Device Upgrade Policy—an interest-free hardware stipend repayable via payroll deductions, allowing you to upgrade when you need. We want you to thrive in your work: every team member receives a monthly Tech & Appreciation Stipend—perfect for testing current software or tools and improving your workflows as you see fit. For in-person collaboration, our downtown Toronto office is less than a 15-minute walk from Union Station, with a free shuttle running throughout the day. The office features complimentary snacks, coffee, video games, and board games, as well as dedicated seating and a flexible workplace that supports creativity, focus, and teamwork. Employment Type: Full-time Remote or Hybrid (3 days at the office in Downtown Toronto
- Monday, Tuesday and Wednesday, for employees residing within 40km of the company headquarters) This is not a generic DevOps role, not a narrow tool-operator role, and not a vendor-certified specialist role. You will help shape foundational parts of Bettermode's platform across Kubernetes runtime architecture, Terraform-governed AWS and Cloudflare infrastructure,



service-to-service networking, data-plane efficiency, OLAP analytics systems, databases such as Aurora PostgreSQL and MongoDB Atlas, cost visibility, security/compliance governance, and deployment architecture. The role is intentionally broad across solutions architecture and systems programming: tune where appropriate, but build or redesign when necessary, with a strong emphasis on secure, recoverable, and well-governed platform foundations. Our operating model includes a production on-call program: engineers participate in an every-other-week rotation for P0 incident response, post-incident learning, and production ownership. Diagnose and remediate foundational platform problems across Kubernetes/EKS, Terraform-managed AWS and Cloudflare infrastructure, networking, observability, OLAP/data systems, security controls, and deployment architecture. Own Kubernetes platform patterns and Terraform/OpenTofu workflows that make environments reproducible, reviewable, secure, and recoverable, including promotion, drift control, and policy-aware infrastructure changes. Design AZ-aware and topology-aware improvements, starting with Aurora PostgreSQL routing/scalability and extending to other data-plane systems where traffic locality, availability, and cost matter. Build cost and workload observability that attributes AWS infrastructure spend, network transfer, CPU/memory usage, and cross-AZ patterns to services,



workloads, and teams. Build production-grade platform components in Go, Rust, or TypeScript where appropriate, including Kubernetes controllers, Terraform plugins, telemetry collectors, bespoke proxies, and CLIs. Select the language based on SDK maturity, operational correctness, maintainability, and ecosystem fit. Implement platform security and compliance controls aligned with SOC 2, OWASP, GDPR, IAM least privilege, secrets handling, encryption, network segmentation, auditability, and data protection. Support OLAP analytics infrastructure and the migration from Pin to ClickHouse, with attention to ingestion topology, query performance, data correctness, cost, and operational safety. Example projects Build an AZ-aware Aurora PostgreSQL routing/proxy component and topology-aware controls that reduce inter-AZ traffic, improve reader/writer behaviour, and provide predictable behaviour during scaling and failover. Build workload-level cost and resource intelligence capabilities across AWS and Kubernetes, including attribution for network traffic, cross-AZ patterns, CPU/GPU/memory utilization, and other signals needed to improve infrastructure efficiency. Redesign fragile legacy deployment and infrastructure abstractions where the right answer is not more Helm or YAML, but stronger software-defined platform foundations. Deep production experience with Kubernetes/EKS, Terraform/OpenTofu, AWS, and Cloudflare, including secure deployment patterns, environment promotion, drift control, and operational ownership. Strong software engineering fundamentals building backend, infrastructure, or distributed systems in production, with systems instincts for concurrency, performance, failure modes

📌 Senior Platform Systems Engineer (Canada)
🏢 Bettermode
📍 Canada