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SonarSource

Cloud Platform Automation Engineer (f/m/d)

SonarSource is hiring a Cloud Platform Automation Engineer (f/m/d). Level rates it ; you can apply on SonarSource.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 120 other open roles at SonarSource.

AI in this role

Who is Sonar?

Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.

Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence. 


Position description

  We are still at the beginning of our growth journey, so we are putting new processes, technologies, and tools in place on a continuous basis. Your role is a pivotal engineering contributor to the tooling and services to automate and enhance the software development lifecycle, empowering our fellow SonarSourcers to deliver with speed, confidence, and security. You would be a member of a team that delivers solutions across all of our 5 offices: Austin (Texas, US), Geneva (Switzerland), Bochum (Germany) and Singapore.   As a Major Incident Manager, you use and create automation tools to monitor and observe production infrastructure services both on premises and in the cloud. You are allergic to repetitive tasks, preferring to maximize automation and reliability. You are expert in change management, infrastructure management, system support, and configuration management. 

What you will do

  • Cloud platform engineering through code: Design and evolve secure, reliable AWS foundations using reusable infrastructure-as-code, automated deployment pipelines, and tested change controls.

  • Automation and self-service: Develop pragmatic tooling, integrations, and glue code that solve operational problems for Systems Engineering and make internal customers more self-sufficient.

  • AI-enabled platform engineering: Use and develop AI-enabled tooling and automation to improve infrastructure delivery, operational triage, knowledge retrieval, and self-service, with appropriate human review, security, and governance.

  • Reliability and observability: Define and improve monitoring, alerting, dashboards, runbooks, SLIs/SLOs, capacity planning, and service-health reporting for Systems Engineering services.

  • Security engineering: Design, architect, implement, and operate secure cloud controls — including least-privilege access, policy-as-code, secrets management, auditability, configuration baselines, and automated evidence collection — in partnership with Information Security.

  • Incident response: Participate in the Systems Engineering on-call and escalation model for services and tools owned by Systems Engineering. Lead or contribute to incident response, root-cause analysis, and preventative follow-up work.

  • Resilience engineering: Lead or facilitate FMEAs and recovery exercises for critical cloud services and material changes; translate findings into funded, owned engineering actions.

  • Technical leadership: Produce lightweight designs, establish standards, review complex changes, mentor peers, and influence service-owning teams to adopt reliable platform patterns.

  • Collaboration: Work closely with Systems Engineering, S/NOC, Information Security, IT Ops, Product Engineering, and external providers to define clean service boundaries and effective escalation paths.

Experience and qualifications

  • 8+ years of hands-on experience in cloud, platform, site reliability, infrastructure, or DevOps engineering in a SaaS, cloud-native, or complex enterprise environment.

  • Strong AWS experience, including networking, IAM, DNS, logging/monitoring, compute, storage, security controls, and multi-account or multi-environment design.

  • Deep infrastructure-as-code experience with AWS CDK, Terraform, CloudFormation, or equivalent, including reusable modules, automated testing, code review, and CI/CD delivery.

  • Strong software engineering and automation skills in at least one of Python, TypeScript, Go, Bash, or a comparable language with a heavy emphasis on AI skillsets.

  • Experience designing production-grade observability: metrics, logs, traces, actionable alerting, dashboards, and operational runbooks.

  • Demonstrated ability to automate operational controls and remove manual work while preserving appropriate approvals, auditability, and safety.

  • Experience with incident response, post-incident engineering, root-cause analysis, and translating lessons into measurable reliability improvements.

  • Sound knowledge of cloud security principles: identity and access management, least privilege, encryption, secrets handling, secure networking, vulnerability management, and logging.

  • Excellent written and verbal English communication; able to explain technical decisions, risks, and trade-offs to both technical and non-technical stakeholders.

In-office culture

We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having. 

Candidates need to be genuinely based in the location the role is posted  — if that's not where you are today, we're happy to support relocation for the right person.

 

We value diversity, equity, and inclusion

At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you need any accommodation, please reach out to us at hiring@sonarsource.com. 

All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. 

Applications that are submitted through agencies or third party recruiters will not be considered. 

How we rate this

Cloud Platform Automation Engineer (f/m/d) at SonarSource rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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