Platform DevOps managing the Enterprise Data and AI Platform across AWS and Kubernetes. Implementing Infrastructure as Code with Terraform and maintaining CI/CD pipelines for secure solutions.
About the role
- Site Reliability Engineer maintaining and optimizing cloud infrastructure for Tecsys. Collaborating with engineering teams to drive reliability and performance in mission-critical SaaS environments.
Responsibilities
- Collaborate with other Engineering teams to support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.
- Innovate relentlessly: Identify pain points, propose creative solutions, and drive initiatives that simplify, scale, and strengthen the platform.
- Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
- Own observability: Enhance and expand monitoring and alerting using Datadog; define SLOs/SLIs and create actionable dashboards that drive reliability outcomes.
- Drive automation: Develop and improve internal tooling, IaC frameworks, and pipelines (Terraform, GitLab CI/CD) to reduce manual intervention and enable self-healing systems.
- Scale systems sustainably through automation and evolve systems by pushing for changes that improve reliability and velocity.
- Act as an agent orchestrator using Amazon Kiro: run multiple activities in parallel by leveraging AI agents to accelerate execution, while personally validating results and completing selected tasks manually when needed.
- Be on-call.
- Practice sustainable incident response and blameless postmortems. Lead post-incident reviews (RCAs) and identify long-term fixes that improve stability, reliability, and developer experience.
- Implement monitoring, Logging, alerting, and SLA Reporting.
- Create and maintain technical documentation.
- Implement, maintain and mature SRE best practices.
- Lead incidents: Act as Incident Commander for Incidents; coordinate cross-team response, manage communications, and ensure rapid service restoration.
- Provide support for our planning and deployment teams to enable stability, predictability, and scale in our continued growth.
- Collaborate with members of the Platform Engineering team to implement and support far-reaching strategic efforts, provide constructive feedback, and foster a collaborative environment.
- Work cross-functionally with internal teams and vendors to manage our growth around the globe, with a strong focus on maintaining the high level of performance, availability, and reliability for our users.
Requirements
- 5+ years in Site Reliability, Cloud, or DevOps Engineering, ideally in SaaS or large-scale production environments.
- Experience designing and deploying large scale systems, multi-vendor platforms and globally distributed infrastructure.
- Proven experience managing cloud infrastructure in AWS (multi-account, VPC, EC2, EKS) and Kubernetes at scale.
- Strong hands-on experience with IaC and automation (Terraform, Ansible, or similar).
- Familiarity with CI/CD pipelines and release automation (GitLab preferred, Jenkins acceptable).
- Deep understanding of monitoring and observability using Datadog (or equivalent), including metric design, log pipelines, alerting, and dashboards.
- Experience with incident management, on-call participation, escalation, and structured postmortems.
- Scripting skills in Python, Bash, Java or equivalent for automation and diagnostics.
- Curiosity, ownership, and a bias for action; you see a problem, you solve it, and you share the lessons learned.
- Experience with Fedramp (The Federal Risk and Authorization Management Program) compliance is a strong asset.
- Basic knowledge of Java- or .Net-based development required.
- Strong English communication skills, both written and spoken, are essential for effective correspondence with customers, business partners and colleagues beyond the province of Quebec.
- Escalation on-call rotation
- Occasional travel (quarterly offsites, conferences – less than 10%)
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