About the role
Pay Range: CAD 55-60/hr
- 5+ years of experience in SRE, DevOps, or Platform Engineering roles with a strong automation focus
- 3+ years hands-on experience with production Kubernetes environments (1.24+)
- Proven track record of building automation solutions that measurably eliminate manual toil
- Strong programming skills with demonstrated ability to write production- quality code
- Experience with cluster lifecycle management, upgrades, and disaster recovery
- Proficiency in multiple programming and scripting languages
- Solid understanding of Linux systems administration and networking fundamentals
- Experience with on-call practices, incident management, and SLO/SLA frameworks
- Demonstrable track record of reducing MTTR through automation and tooling
TECHNICAL SKILLS - AUTOMATION & DEVELOPMENT
PROGRAMMING LANGUAGES
- Python (required - primary automation language)
- Go (nice to have - for operator/tooling development)
- Bash/Shell scripting (required)
INFRASTRUCTURE AS CODE
- Ansible (required - for cluster provisioning and configuration management)
- Terraform or Pulumi (nice to have)
- Kustomize and Helm (required)
GITOPS & CI/CD
- FluxCD or ArgoCD (required)
- GitHub Actions or GitLab CI (required)
- OCI artifact management and container registry workflows
- Branching strategies and Git-based release workflows
API & TOOLING DEVELOPMENT
- REST API design and development (FastAPI, Flask, or similar)
- CLI tool development
- OpenAPI/Swagger documentation
- Event-driven automation (webhooks, CloudEvents)
TESTING FRAMEWORKS
- Unit and integration testing (Pytest, Go testing)
- Infrastructure testing (Molecule for Ansible, Terratest)
- Load and performance testing (k6, Locust, or similar)
- Chaos engineering frameworks (LitmusChaos, Chaos Monkey)
TECHNICAL SKILLS - PLATFORM & OPERATIONS
CONTAINER ORCHESTRATION
- Kubernetes architecture, control plane, and worker node operations (1.24+)
- Any enterprise Kubernetes distribution (k0s, k3s, OpenShift, EKS, GKE, AKS)
- Kubernetes Operators and custom CRD development
- Container runtimes (containerd, CRI-O, Docker)
CLOUD & VIRTUALIZATION
- AWS, Azure, or GCP (one or more required)
- VMware vSphere or equivalent on-premises virtualization
- Multi-datacenter and hybrid cloud architectures
- Immutable infrastructure patterns
NETWORKING
- Kubernetes networking (Calico, Cilium, Flannel)
- Load balancers (MetalLB, F5, AWS ALB)
- Ingress controllers (NGINX, Traefik)
- DNS management and service discovery
- Network policies and micro-segmentation
STORAGE
- CSI drivers and persistent volume management
- NetApp Trident or equivalent enterprise storage integration
- Ceph or other distributed storage systems (nice to have)
- Backup and disaster recovery for stateful workloads
SECRETS MANAGEMENT
- HashiCorp Vault (required)
- External Secrets Operator
- Kubernetes CSI secrets store driver
- Certificate lifecycle management (cert-manager)
SECURITY
- RBAC and policy-based access control
- Network policies and pod security standards
- Container image scanning (Aqua, Trivy, or similar)
- Supply chain security (Sigstore, SBOM, SLSA)
- Authentication integrations (LDAP, Entra ID, Okta, OIDC)
SERVICE MESH
- Linkerd, Istio, or Consul Connect
- mTLS, traffic management, and mesh observability
MONITORING & OBSERVABILITY
- Prometheus, Grafana, Alertmanager (operational knowledge)
- Distributed tracing (OpenTelemetry, Jaeger, Tempo)
- Log aggregation (Loki, ELK, or Splunk)
- SLI/SLO definition and error budget management
DATABASE PLATFORMS
- MongoDB, PostgreSQL (operational knowledge for platform services)
AI/ML & EMERGING TECHNOLOGY SKILLS
AI/ML FOR OPERATIONS
- AIOps platforms (Moogsoft, BigPanda, Dynatrace Davis, Datadog Watchdog)
- Time-series anomaly detection frameworks (Prophet, Isolation Forest, LSTM)
- Log intelligence and natural language processing tools
- Predictive scaling and capacity planning using ML models
LLM & AI INTEGRATION
- LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI, etc.)
- Model Context Protocol (MCP) for AI agent integration with tooling and infrastructure platforms
- Prompt engineering for operational use cases (incident triage, runbook generation, log summarization)
- AI coding assistants (GitHub Copilot, Cursor, Codeium, or similar)
- Agentic workflow design for autonomous operations tasks
PLATFORM AI TOOLS
- AI-assisted Kubernetes operators and intelligent autoscalers
- Vector databases for semantic search over operational data (Pinecone, Weaviate, pgvector)
- Embedding models for log clustering and pattern recognition
- AI-driven chaos engineering and resilience testing
PREFERRED QUALIFICATIONS
- Kubernetes certifications: CKA (Certified Kubernetes Administrator) or CKS (Certified Kubernetes Security Specialist)
- Experience building Kubernetes operators or controllers using Kopf, operator-sdk, or kubebuilder
- Track record of open-source contributions to automation or SRE tools
- Experience with enterprise Kubernetes distributions at scale (500+ nodes)
- Background in financial services compliance and regulatory requirements (SOX, PCI-DSS, MiFID II)
- Familiarity with CNCF ecosystem projects (Argo Workflows, KEDA, Tekton, Crossplane)
- Experience with container registry management (Artifactory, Harbor, ECR)
- Knowledge of chaos engineering and resilience testing methodologies
- Experience with FinOps and cloud cost optimization automation
- Familiarity with immutable infrastructure and GitOps-native cluster management platforms (k0rdent, Cluster API, Rancher)
SOFT SKILLS
- Exceptional troubleshooting and problem-solving abilities under pressure
- Strong communication skills for incident coordination and stakeholder updates
- Ability to write clear, comprehensive technical documentation
- Collaborative mindset with cross-functional teams
- Self-motivated with a strong bias for action and automation
- Passion for eliminating toil and building reliable systems
- Growth mindset with desire to learn and adopt emerging technologies
- Ability to mentor junior engineers and promote best practices across the organization
Not the right fit? Search for Site Reliability Engineer jobs in Toronto, Ontario, Canada
About LanceSoft, Inc.
Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele. As a Certified MBE and Woman-Owned organization, we pride ourselves on fostering global cross-cultural connections that advance both the careers of our employees and the success of our clients' businesses.
At LanceSoft, our mission is clear: to leverage our global network to seamlessly connect businesses with the right talent and individuals with the right opportunities, all without bias. We believe in providing Global Workforce Solutions with a personalized, human touch.
Our comprehensive range of services spans various domains, encompassing temporary and permanent staffing, Statement of Work (SOW) arrangements, payrolling, Recruitment Process Outsourcing (RPO), application design and development, program/project management, and engineering solutions.
Currently, our team of over 5,000 professionals caters to 110+ enterprise clients worldwide, including Fortune companies. Our client base represents a diverse spectrum of industries, including Banking & Financial Services, Semiconductor/VLSI, Technology, Healthcare & Life Sciences, Government, Telecom & Media, Retail & Distribution, Oil & Gas, and Energy & Utilities.
Headquartered in Herndon, VA, LanceSoft operates 32+ regional offices across the North America, Europe, Asia, and Australia. We also have nine delivery centers strategically located in India in Bangalore, Indore, Noida, Baroda, Hyderabad, Bhubaneshwar, Dehradun, Goa, and Aligarh to further enhance our client service capabilities.
Similar Jobs
About the role
Pay Range: CAD 55-60/hr
- 5+ years of experience in SRE, DevOps, or Platform Engineering roles with a strong automation focus
- 3+ years hands-on experience with production Kubernetes environments (1.24+)
- Proven track record of building automation solutions that measurably eliminate manual toil
- Strong programming skills with demonstrated ability to write production- quality code
- Experience with cluster lifecycle management, upgrades, and disaster recovery
- Proficiency in multiple programming and scripting languages
- Solid understanding of Linux systems administration and networking fundamentals
- Experience with on-call practices, incident management, and SLO/SLA frameworks
- Demonstrable track record of reducing MTTR through automation and tooling
TECHNICAL SKILLS - AUTOMATION & DEVELOPMENT
PROGRAMMING LANGUAGES
- Python (required - primary automation language)
- Go (nice to have - for operator/tooling development)
- Bash/Shell scripting (required)
INFRASTRUCTURE AS CODE
- Ansible (required - for cluster provisioning and configuration management)
- Terraform or Pulumi (nice to have)
- Kustomize and Helm (required)
GITOPS & CI/CD
- FluxCD or ArgoCD (required)
- GitHub Actions or GitLab CI (required)
- OCI artifact management and container registry workflows
- Branching strategies and Git-based release workflows
API & TOOLING DEVELOPMENT
- REST API design and development (FastAPI, Flask, or similar)
- CLI tool development
- OpenAPI/Swagger documentation
- Event-driven automation (webhooks, CloudEvents)
TESTING FRAMEWORKS
- Unit and integration testing (Pytest, Go testing)
- Infrastructure testing (Molecule for Ansible, Terratest)
- Load and performance testing (k6, Locust, or similar)
- Chaos engineering frameworks (LitmusChaos, Chaos Monkey)
TECHNICAL SKILLS - PLATFORM & OPERATIONS
CONTAINER ORCHESTRATION
- Kubernetes architecture, control plane, and worker node operations (1.24+)
- Any enterprise Kubernetes distribution (k0s, k3s, OpenShift, EKS, GKE, AKS)
- Kubernetes Operators and custom CRD development
- Container runtimes (containerd, CRI-O, Docker)
CLOUD & VIRTUALIZATION
- AWS, Azure, or GCP (one or more required)
- VMware vSphere or equivalent on-premises virtualization
- Multi-datacenter and hybrid cloud architectures
- Immutable infrastructure patterns
NETWORKING
- Kubernetes networking (Calico, Cilium, Flannel)
- Load balancers (MetalLB, F5, AWS ALB)
- Ingress controllers (NGINX, Traefik)
- DNS management and service discovery
- Network policies and micro-segmentation
STORAGE
- CSI drivers and persistent volume management
- NetApp Trident or equivalent enterprise storage integration
- Ceph or other distributed storage systems (nice to have)
- Backup and disaster recovery for stateful workloads
SECRETS MANAGEMENT
- HashiCorp Vault (required)
- External Secrets Operator
- Kubernetes CSI secrets store driver
- Certificate lifecycle management (cert-manager)
SECURITY
- RBAC and policy-based access control
- Network policies and pod security standards
- Container image scanning (Aqua, Trivy, or similar)
- Supply chain security (Sigstore, SBOM, SLSA)
- Authentication integrations (LDAP, Entra ID, Okta, OIDC)
SERVICE MESH
- Linkerd, Istio, or Consul Connect
- mTLS, traffic management, and mesh observability
MONITORING & OBSERVABILITY
- Prometheus, Grafana, Alertmanager (operational knowledge)
- Distributed tracing (OpenTelemetry, Jaeger, Tempo)
- Log aggregation (Loki, ELK, or Splunk)
- SLI/SLO definition and error budget management
DATABASE PLATFORMS
- MongoDB, PostgreSQL (operational knowledge for platform services)
AI/ML & EMERGING TECHNOLOGY SKILLS
AI/ML FOR OPERATIONS
- AIOps platforms (Moogsoft, BigPanda, Dynatrace Davis, Datadog Watchdog)
- Time-series anomaly detection frameworks (Prophet, Isolation Forest, LSTM)
- Log intelligence and natural language processing tools
- Predictive scaling and capacity planning using ML models
LLM & AI INTEGRATION
- LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI, etc.)
- Model Context Protocol (MCP) for AI agent integration with tooling and infrastructure platforms
- Prompt engineering for operational use cases (incident triage, runbook generation, log summarization)
- AI coding assistants (GitHub Copilot, Cursor, Codeium, or similar)
- Agentic workflow design for autonomous operations tasks
PLATFORM AI TOOLS
- AI-assisted Kubernetes operators and intelligent autoscalers
- Vector databases for semantic search over operational data (Pinecone, Weaviate, pgvector)
- Embedding models for log clustering and pattern recognition
- AI-driven chaos engineering and resilience testing
PREFERRED QUALIFICATIONS
- Kubernetes certifications: CKA (Certified Kubernetes Administrator) or CKS (Certified Kubernetes Security Specialist)
- Experience building Kubernetes operators or controllers using Kopf, operator-sdk, or kubebuilder
- Track record of open-source contributions to automation or SRE tools
- Experience with enterprise Kubernetes distributions at scale (500+ nodes)
- Background in financial services compliance and regulatory requirements (SOX, PCI-DSS, MiFID II)
- Familiarity with CNCF ecosystem projects (Argo Workflows, KEDA, Tekton, Crossplane)
- Experience with container registry management (Artifactory, Harbor, ECR)
- Knowledge of chaos engineering and resilience testing methodologies
- Experience with FinOps and cloud cost optimization automation
- Familiarity with immutable infrastructure and GitOps-native cluster management platforms (k0rdent, Cluster API, Rancher)
SOFT SKILLS
- Exceptional troubleshooting and problem-solving abilities under pressure
- Strong communication skills for incident coordination and stakeholder updates
- Ability to write clear, comprehensive technical documentation
- Collaborative mindset with cross-functional teams
- Self-motivated with a strong bias for action and automation
- Passion for eliminating toil and building reliable systems
- Growth mindset with desire to learn and adopt emerging technologies
- Ability to mentor junior engineers and promote best practices across the organization
Not the right fit? Search for Site Reliability Engineer jobs in Toronto, Ontario, Canada
About LanceSoft, Inc.
Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele. As a Certified MBE and Woman-Owned organization, we pride ourselves on fostering global cross-cultural connections that advance both the careers of our employees and the success of our clients' businesses.
At LanceSoft, our mission is clear: to leverage our global network to seamlessly connect businesses with the right talent and individuals with the right opportunities, all without bias. We believe in providing Global Workforce Solutions with a personalized, human touch.
Our comprehensive range of services spans various domains, encompassing temporary and permanent staffing, Statement of Work (SOW) arrangements, payrolling, Recruitment Process Outsourcing (RPO), application design and development, program/project management, and engineering solutions.
Currently, our team of over 5,000 professionals caters to 110+ enterprise clients worldwide, including Fortune companies. Our client base represents a diverse spectrum of industries, including Banking & Financial Services, Semiconductor/VLSI, Technology, Healthcare & Life Sciences, Government, Telecom & Media, Retail & Distribution, Oil & Gas, and Energy & Utilities.
Headquartered in Herndon, VA, LanceSoft operates 32+ regional offices across the North America, Europe, Asia, and Australia. We also have nine delivery centers strategically located in India in Bangalore, Indore, Noida, Baroda, Hyderabad, Bhubaneshwar, Dehradun, Goa, and Aligarh to further enhance our client service capabilities.