Senior Dev Ops Engineer (alternate: Senior Cloud / Platform Engineer) We are hiring a senior Dev Ops engineer to own and evolve our cloud platform on AWS, grounded in infrastructure as code, secure multi-account patterns, and reliable delivery. You will shape the Dev Ops roadmap (standards, tooling, automation, and operational excellence), support application releases, and provide production support for critical workloads. Amazon EKS is central to how we run workloads—we need someone with deep, production-grade EKS expertise who has built and owned Kubernetes on AWS end-to-end, not only deployed apps to a cluster someone else runs.

You will also lead how we adopt AI for infrastructure and platform work—not as a buzzword, but as a practical force multiplier: safe use of AI-assisted authoring and review for Ia C and automation, clearer runbooks and incident workflows, and evaluation of tools and patterns that improve speed without weakening security, compliance, or change control. This role suits someone who combines deep AWS practice with leadership: you can define "how we build and run" while still being hands-on in pipelines, clusters, and incidents. Define and socialize Dev Ops priorities (security, reliability, cost, velocity).

Align teams on AWS Well-Architected practices, tagging, guardrails, and repeatable patterns for networking, identity, secrets, and data. AI adoption for infra & platform: Drive a pragmatic AI strategy for the team—e.g. standards for AI-assisted Ia C and pipeline changes (review gates, testing, drift detection), documentation and runbook quality, incident summarization and triage workflows where appropriate, and guardrails so AI tooling fits regulated or high-stakes environments. Build, operate, and own the Kubernetes platform on AWS —cluster lifecycle (creation, upgrades, patching), node groups / capacity, networking (CNI, service mesh or ingress as used), security (RBAC, admission controls, pod security,



secrets and IRSA), add-ons, and cost/ reliability tuning.

Broader AWS platform: Release engineering: Partner with development teams on release processes, deployment strategies, change management, rollbacks, and post-release verification in regulated or high-stakes environments (e.g. healthcare-adjacent workloads). Participate in on-call or escalation rotation as defined by the team; Collaboration: Work with security, architecture, and engineering leads to implement least-privilege access, encryption, backup/DR posture, and audit-friendly operations—including how AI-assisted workflows meet security and audit expectations. 6+ years in software / systems / Dev Ops / SRE roles, including 4+ years focused on AWS in production. ~ Deep, mandatory expertise in Amazon EKS: You have prior experience building and owning Kubernetes on AWS—not only deploying applications to a shared cluster.

We expect fluency across the stack: cluster design and lifecycle, upgrades and patching, networking (VPC/CNI, DNS, ingress), identity and security (RBAC, IRSA, secrets, guardrails), observability, capacity and performance, and production troubleshooting. Solid grasp of CI/CD, artifact promotion, secrets injection, and protected change practices in multi-environment pipelines. ~ Demonstrated interest or experience in applying AI to Dev Ops/platform work (e.g. AI-assisted coding and review workflows for Ia C, internal tooling, or operational documentation)—with judgment about limits, verification, and risk in production systems. ~ AWS certifications (e.g.

Solutions Architect

Professional, Dev Ops Engineer) or equivalent demonstrated depth.

Experience with Helm / Helmfile, policy-as-code, or cluster baseline tooling. Familiarity with Postgre SQL/RDS, multi-tenant data patterns, or regulated-industry constraints. Hands-on experimentation with AI coding assistants, internal LLM or RAG patterns for ops knowledge, or evaluating vendor tools for the platform team. #

📌 Senior devops engineer- platform (Toronto)
🏢 MarkiTech
📍 Toronto