Staff Site Reliability Engineer/ Energy

Help build the technology backbone of a rapidly evolving industry where energy infrastructure, intelligent automation, and advanced software systems converge. A growing technology organization is looking for a Staff DevOps Engineer to take ownership of the cloud platforms supporting large-scale, mission-critical infrastructure and autonomous operations.
This is an opportunity to solve complex engineering challenges where software directly impacts real-world systems, from managing distributed infrastructure and processing high-volume telemetry to ensuring reliable, continuous operations.
You'll have significant influence over architecture, automation, security, and platform strategy, working with AWS, Kubernetes, Terraform, and modern observability tools. Beyond traditional DevOps, you'll also help build the infrastructure supporting emerging AI and agentic systems, making this a role with genuine technical depth, ownership, and long-term impact.
Required Skills & Experience

• 8+ years of experience building and operating highly available production systems, with a strong background in DevOps, SRE, or platform engineering. Deep expertise in AWS, Kubernetes (EKS), Terraform, and designing scalable, resilient cloud infrastructure.
• Previous experience operating in a Staff Engineer capacity or serving as a Staff-level technical escalation point, with demonstrated ownership of complex architectural decisions, critical production issues, and engineering standards across multiple teams.
• Strong hands-on experience with CI/CD automation using GitHub Actions, container orchestration and deployments using Helm, and production observability through OpenTelemetry and Grafana. Experience supporting managed databases such as PostgreSQL or MongoDB, driving infrastructure security, and improving platform reliability.
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Desired Skills & Experience

• Experience architecting multi-region AWS and EKS environments, with an emphasis on high availability, fault tolerance, and operational resilience at scale.
• Exposure to production AI infrastructure, including LLM applications, autonomous agents, MCP servers, and the security, monitoring, and deployment challenges associated with AI workloads.
• Experience with real-time data and streaming platforms such as Kafka, AWS MSK, or Databricks, along with scripting or application development using Python or Node.js.

Daily Responsibilities

• Hands-On Engineering: 75% .
• Team Collaboration & Cross-Functional Work: 25%
  You Will Receive The Following Benefits
• Medical, Dental, and Vision Insurance
• Vacation Time
• Current Vacancy: Yes
  Use of AI in Hiring: No
  Applicants must be currently authorized to work in Canada on a full-time basis now and in the future.
• Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment's Employment Accommodation policy. Applicants need to make their needs known in advance.
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