• Embed with development teams from project inception for reliability design • Define production-readiness standards and launch criteria • Establish measurable SLIs, SLOs, and error budgets • Create reliable frameworks and tooling across cloud platforms • Lead incident management and postmortem practices • Build relationships with cloud providers to enhance capabilities

• Perform operational deployments, implementations, and maintenance for production systems. • Implement and maintain monitoring and reporting of performance metrics for Core Speech products as well as performing capacity planning tasks. • Implement and maintain operational alerting systems. • Be part of a rotation with other team members to provide off-hours site reliability support, responding to alerts as needed. • Work with a team on collaborative projects as well as independently to drive improvements to system performance and architecture. • Participating in relevant corporate programs/initiatives, compliant with professional and quality standards, and in a manner consistent with Solventum’s values and ethical standards.

• Support observability tooling implementation (Datadog and/or Azure Monitor/App Insights) and help build SLO definitions, alert rules, and synthetic checks • Participate in a PagerDuty on-call rotation, including escalation handling and incident documentation • Build and maintain operational runbooks for incident response, rollback, and recovery scenarios • Contribute to deployment automation work (blue/green or canary patterns) and Infrastructure as Code • Work across Azure SQL and Cosmos DB environments, supporting performance and cost optimization initiatives • Collaborate closely with US-based engineers during overlapping working hours

• As a Senior DevSecOps Engineer, you will be a key technical leader driving the security, reliability, and integrity of our cloud-based infrastructure and SaaS products. • This role embeds security throughout the software delivery lifecycle — shifting vulnerability detection left into the pipeline while operationalizing continuous monitoring and remediation in production. • You will own our application and cloud vulnerability management program, leveraging tools like Snyk, SonarQube, and AWS Inspector to find, prioritize, and drive remediation of risk across a multi-product, multi-environment AWS platform. • This is an AI-native role. We expect you to work fluently with AI engineering tools — Claude Code, GitHub Copilot, Atlassian Rovo, and similar — to accelerate triage, remediation, automation, and documentation, and to help the team build AI-augmented workflows into how we detect and fix risk. • This role combines deep technical expertise with a passion for mentoring. You will pair hands-on engineering with guiding colleagues in secure development and operational practices, and contribute to the overall maturity of our DevSecOps capability — with a strong emphasis on automation using Terraform and Bitbucket Pipelines.