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Salary: CAD 110,000 - 140,000 / annual
ClearGov is building the modern financial operating layer for the public sector, helping US local governments and school districts plan, budget, report, and communicate their finances. The company serves over 2,000 public sector organizations and continues to expand its platform.
We are seeking a Senior DevOps Engineer to drive the reliability, scalability, and security of our AWS cloud infrastructure while optimizing cloud costs and empowering developer self-service. You will combine senior DevOps expertise with solution architect skill sets to design system architecture, provide innovative solutions for complex technical challenges, and work closely with product engineering teams and engineering leads.
Key Responsibilities:
- Own Cloud Infrastructure Design and Operations: Design, build, and maintain scalable, secure AWS infrastructure supporting a SaaS engineering organization of ~80 engineers, covering compute, networking, storage, and security architecture. Maintain working exposure to Azure and Google Cloud.
- Drive Cost Visibility and FinOps Practices: Implement and maintain cloud cost tagging, monitoring, and optimization practices; identify and execute cost-saving opportunities across AWS and secondary clouds; partner with engineering leads on cost accountability.
- Strengthen Reliability, Observability, and Incident Response: Build and maintain observability using Datadog or similar tools (logging, metrics, tracing, dashboards, alerting); participate in on-call rotation; lead or support incident response and postmortems; drive down MTTR.
- Build and Improve Infrastructure Automation: Develop and maintain infrastructure-as-code (Terraform or equivalent), CI/CD pipelines, deployment automation, environment provisioning, and secret management to increase developer velocity and reduce toil.
- Enable Developer Self-Service: Build tooling and paved paths that let product engineers ship and manage their own services safely, reducing DevOps as a bottleneck.
- Apply AI-Enabled DevOps Practices: Evaluate and adopt AI-assisted tooling for infrastructure review, incident triage, anomaly detection, documentation, and CI/CD improvements, with appropriate security and change-management guardrails.
- Support Platform and Vendor Evaluation: Provide technical evaluation and hands-on implementation input for cloud, observability, security, and developer-tooling platforms; execute on integrations and configuration.
- Mentor and Raise the Bar: Mentor other engineers on infrastructure, reliability, and DevOps best practices; contribute to runbooks, standards, and technical documentation; review infrastructure and pipeline changes from peers.
Requirements:
- 5+ years of hands-on experience in DevOps, SRE, platform, or infrastructure engineering, ideally in a SaaS environment, with demonstrated solution architecture experience designing highly available cloud systems and innovative solutions.
- Deep hands-on AWS expertise across architecture, security, networking, compute, storage, and cost management; AWS certification is a plus. Working familiarity with Azure and Google Cloud.
- Practical experience with infrastructure-as-code, preferably Terraform, as well as CI/CD pipelines, deployment automation, environment management, and secrets management.
- Working knowledge of FinOps practices, including cost visibility, tagging, forecasting, and cloud cost optimization.
- Strong production-operations and observability experience with Datadog or equivalent tools, including logging, metrics, tracing, alerting, and incident response. Experience using operational metrics such as deployment frequency, lead time, change failure rate, and MTTR to improve reliability.
- Experience with containerization and orchestration technologies such as Docker, Kubernetes, or ECS, along with policy-as-code and cloud governance.
- Proficiency in scripting and automation using Python, Bash, or similar languages.
- Working knowledge of AI-enabled DevOps workflows, including automation, infrastructure review, incident triage, anomaly detection, cost optimization, and developer self-service.
- Solid understanding of security fundamentals, including IAM, network security, secrets management, and vulnerability remediation.
- Comfortable owning production reliability for systems supporting multiple engineering teams, applying sound judgment to cloud, IaC, CI/CD, security, and governance standards.
- Strong written and verbal communication skills, with experience partnering cross-functionally with product and engineering teams and mentoring less-senior engineers.
