Strong proficiency in Python for backend services and automation
Hands-on experience with Kubernetes, especially EKS
Practical experience with Terraform for cloud infrastructure
Experience with containerized systems and Docker
Ability to design and troubleshoot distributed systems
Familiarity with networking concepts and cloud IAM
Responsibilities
Develop and maintain Python services for firmware emulation
Build and update containerized environments on Amazon EKS
Implement infrastructure improvements using Terraform
Collaborate with cross-functional teams for testing and simulation
Develop APIs and tools for orchestrating emulated device behavior
Debug issues across containers and cloud infrastructure
Contribute to CI/CD processes and documentation
Benefits
Hybrid work model (in-office 3 days per week)
Opportunity to work on cutting-edge cloud technologies
Collaborative team environment
Focus on professional development and mentorship
Engagement in architecture discussions for platform improvement
Full Job Description
Job Summary
We are building a modern cloud platform that simulates device firmware at scale using containerized environments running on Amazon EKS. These emulated devices form the backbone of automated orchestration, workflow validation, and system-level testing. Our platform relies heavily on Python-based services, Infrastructure-as-Code (IaC) with Terraform, and scalable Kubernetes environments.
We are hiring an Intermediate Software Developer to help build, maintain, and evolve the firmware emulation platform and supporting cloud services. You will work on containerized workflows, Python-based tooling, and Terraform-managed infrastructure that supports large-scale simulation scenarios.
Responsibilities
Develop and maintain Python services supporting firmware emulation and orchestration workflows
Build and update containerized firmware emulation environments running on Amazon EKS
Implement and improve infrastructure using Terraform (modules, environments, pipelines)
Collaborate with firmware, cloud, and QA teams to support large-scale testing and simulation scenarios
Develop APIs, scripts, and tools that help orchestrate and validate emulated device behavior
Debug issues across containers, Python services, Kubernetes clusters, and cloud infrastructure
Contribute to CI/CD, code reviews, documentation, and shared engineering processes
Participate in architecture discussions and identify areas for improvement in platform reliability and efficiency
Required Skills / Qualification
3-5+ years' experience as a software developer
Strong proficiency in Python for backend services, tooling, and automation
Hands-on experience working with Kubernetes, ideally EKS in production or staging systems
Practical experience writing and maintaining Terraform modules and cloud infrastructure
Experience building or maintaining containerized systems (Docker images, orchestrated workloads)
Ability to design, implement, and troubleshoot distributed systems and orchestrated workflows
Familiarity with networking concepts, service mesh, logging/monitoring tools, and cloud IAM
Strong debugging capabilities across multiple layers (containers, Python, cluster, network)
Comfortable reviewing code, mentoring junior developers, and participating in technical planning
Strong communication skills, ownership, and attention to detail.
Collaborative, curious and motivated to learn new tools and cloud technologies
Nice-to-have: Experience in developing solutions using graph databases and RDF triple stores; Working knowledge of RDF, JSON-LD, URIs, and SPARQL (or equivalent graph query languages); Experience with firmware emulation, hardware simulation, or digital twin systems, understanding of event-driven architectures or cloud-native patterns, exposure to observability tools (Prometheus, Grafana, OpenTelemetry), familiarity with secure cloud architecture and best practices
Work Location: Hybrid (In-office 3 days per week, subject to change) City: Surrey Type: Full-time, Permanent Salary: $90,000 - $110,000 CAD This range reflects the minimum and maximum target payable for the base salary of new hires across all Canadian locations. Actual compensation may vary outside this range and is dependent on various factors.
