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魅力的な職種名を見つけることは、仕事探しの出発点です。業務内容、応募条件、働き方を自分の経験と照らし合わせましょう。このガイドでは、候補の絞り込み、応募書類の準備、提出先の確認を順番に進めるためのポイントを紹介します。

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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Cloud Engineer, Automation (Remote Ontario)

Smile Digital Health

リモート勤務

勤務地
Remote (Canada)
報酬
CAD 120000-140000 per annual
勤務時間
Full Time
掲載日
2026年10月14日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024! Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform. At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing #BetterGlobalHealth to patients everyday! Apply today and find plenty of reasons to SMILE! The Cloud Engineer (Automation) is responsible for designing, building, operating and improving production-grade automation for Smile Digital Health, its clients and partners. This role will be responsible for the pipelines, infrastructure as code, environments and recovery procedures, that the platform runs on. This Engineer will merge direct platform engineering expertise with driving strategic changes in how the department designs, deploys, and maintains its infrastructure. Key responsibilities include managing build and release engineering, orchestrating the Terraform and Helm infrastructure, provisioning on-demand environments, and implementing automated recovery. This role works closely with Platform Engineering, Solution Engineering, Service Operations and Engineering Practice & QA to remove unnecessary repetitive, manual work and effectively optimize a build from the time the client commits to a running environment faster, decrease platform costs, and utilize AI to enhance the platform’s engineering and operations. Responsibilities: Own build and release engineering by reviewing the current repositories and CI setup, then consolidate duplicated Azure DevOps pipeline YAML onto shared reusable templates with change detection and automated quality gates. Identify and eliminate manual efforts for cross-functional teams and replace them with scheduled, auditable automation. For example, automating patching, certificate and secret rotation, environment scaling, and recurring reports Implement GitOps-based continuous delivery - declarative, Git-driven deployments with automated reconciliation, drift detection and rollback. Automate line-of-business environments end to end, provisioned and torn down on demand across every Azure service and application involved. Automate business continuity and disaster recovery through backup validation, restore and failover, recurring DR drills, and measured RTO and RPO. Ensure Helm and Terraform are easy to upgrade by charting reuse and configuration validation, versioned modules, and state boundaries that limit how far an upgrade reaches. Run in-cluster platform services deployed through Helm, harden workloads for availability and capacity: health probes, replica counts, and right-sized requests, limits and autoscaling. Ensure that the Terraform configuration is regularly maintained. Build and maintain Build Agent images for streamlining tooling available for the builds. Automate the guardrails such as policy-as-code, security and IaC scanning in the pipeline, and alerts and dashboards defined as code. Implement AI-assisted engineering in the platform team’s day-to-day work Contribute to the department’s AI enablement, package knowledge into reusable skills and runbooks in the shared skill library. Work with the development and operations teams to find automation gaps, prioritize them, and close them. Troubleshoot production and staging issues and document what you automate so others can operate it. Requirements: 6+ years of hands-on cloud engineering, DevOps and/or platform engineering experience, including at least 1-2+ years with infrastructure as code and CI/CD automation on Microsoft Azure in production. Post-secondary education in Computer Science, Engineering, or similar and/or equivalent work experience. Practical in-depth knowledge and expertise in Terraform, Helm and Azure DevOps pipelines, and GitOps delivery (Argo CD or Flux). Strong Terraform skills including, but not limited to, experience with module design, provider version management, state management and refactoring. Expertise in Helm chart authoring and refactoring, including recent experience with Kubernetes and AKS. Demonstrated knowledge across Azure (AKS, Key Vault, Storage, Azure SQL, PostgreSQL, networking, identity) and observability as code (Azure Monitor and/or Grafana, Prometheus, OpenTelemetry). Hands-on experience automating backup, restore and failover with measured RTO and RPO. Hands-on experience with agentic coding tools (Claude Code or equivalent), keeping confidential data out of them and reviewing what they produce. Hands-on experience running, hardening and right-sizing production workloads on Kubernetes Hands-on Kafka operations: topic and partition design, consumer group sizing, and throughput and latency trade-offs. Experience migrating between Kafka platforms (HDInsight, Confluent, MSK or self-managed) is a strong asset. Strong Python and Bash skills, able to build maintainable tooling, not glue scripts. A demonstrable record of replacing manual processes with automation. FinOps practice and Azure Cost Management, an asset. Regulated environment experience (healthcare, PHI), an asset. Certifications: HashiCorp Terraform Associate; Microsoft AZ-104, AZ-400, AZ-305; CKA or CKAD, an asset. Observability as code with Azure Monitor, Grafana, Prometheus, or OpenTelemetry; Azure cost optimization, an asset. Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices. This position is a new role, created to support Smile’s continued growth and commitment to operational excellence. Some of the benefits we offer: * Remote Work Environment * Flexible Time Away From Work Policy including PTO, Personal and Sick Days * Competitive Salary and Health/Medical Benefits * RRSP/TFSA/401K Employee Contribution * Life and Disability * Employee Assistance Program * FHIR Study Program and Skillsoft Learning * Super HAPI Fun Club Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work. We are dedicated to fostering a workplace that values diversity, equity, and inclusion. We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile. Originally posted on Himalayas

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次の仕事で活かしたい職種やスキルから検索を始めましょう。勤務地と職種の条件を調整し、求人を開いて担当業務を比較してください。結果がない場合は、短い検索語を試すか、条件を一つずつ外してみましょう。

必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

募集要件に関連する実際の経験を選び、自分の役割と貢献を説明しましょう。数値は根拠がある場合にのみ使ってください。企業の応募方法に従い、送信前に連絡先、内容、PDFの表示を確認しましょう。

応募前の確認リスト

仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

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応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。