Jobs at ScienceLogic

Build, manage, and optimize on-premises VMware and AWS test infrastructure. Provision reproducible environments with Terraform, automate setup and teardown, optimize resource usage and costs, execute functional and integration tests, and integrate workflows with Jenkins CI/CD pipelines. Troubleshoot test failures, support release hardening, and collaborate with QA and engineering teams to improve reliability, scalability, and test coverage.

Leads a ten-person platform engineering team responsible for infrastructure, systems engineering, DevOps, networking, test automation, modernization, reliability, and operational excellence. Owns technical direction, architecture, cloud and on-premises infrastructure, cost optimization, delivery, troubleshooting, hiring, performance management, and career development. Partners with engineering, QA, product, and US leadership while building team structure and future technical leaders.

Lead a 20-person software engineering and SDET team, overseeing people development, hiring, delivery, capacity planning, escalations, architecture reviews, engineering practices, and cross-team initiatives. Build scalable team leadership structures, mentor emerging leaders, and apply AI-enabled workflows and solutions. Partner with product leadership on roadmaps and execution while maintaining strong technical credibility in software architecture, distributed systems, Python, APIs, databases, testing, and CI/CD.

Develop and maintain ScienceLogic’s internal developer platform, including Kubernetes environments, CI/CD pipelines, container tooling, and infrastructure-as-code. Collaborate with development teams to understand workflows, enforce software engineering and container best practices, evaluate technologies, and contribute to architecture decisions. The role also involves documenting standards, supporting observability and logging, and implementing DevSecOps practices such as secure build pipelines and compliance automation.

As a Software Engineer in Test, you will develop and maintain test automation frameworks, conduct manual and automated testing, collaborate with teams to resolve defects, and streamline automation processes within Agile teams.

Build and maintain lab environments and CI/CD pipelines for the Skylar AI platform. Create automated end-to-end tests, simulate user journeys and telemetry, validate integrations and performance, manage versioning and rollback tests, support data generation, and document environments. Partner with product, data science, QA, and engineering to ensure reliable monthly updates and platform availability.