Sonar - Cloud Platform Automation Engineer (f/m/d)
Requirements
• 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
Responsibilities
• 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.
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