Leverage and develop AI tools to accelerate troubleshooting, automate routine tasks, generate scripts, and improve documentation quality
Collaborate with engineering teams to deploy and operate containerized applications using Kubernetes-based platforms
Build and improve operational tooling, monitoring, runbooks, and documentation to enhance service reliability and reduce operational effort
Participate in change management, release activities, operational readiness reviews, and on-call support processes
Work with Engineering, Product, Services, Security, and other departments to support business and customer requirements
Contribute to platform engineering initiatives that improve developer productivity, service reliability, security, and operational efficiency
Monitor platform health, investigate incidents, troubleshoot production issues, and participate in continuous service improvement efforts
Required Qualifications
3-5 years of experience supporting production SaaS applications, cloud infrastructure, or customer-facing services
Hands-on experience with Google Cloud Platform (GCP), including services such as GKE, Cloud Run, Cloud Storage, Networking, IAM, Monitoring, and Logging
Experience working with Kubernetes and containerized applications
Comfortable using AI and LLM tools (GitHub Copilot, ChatGPT, Claude, or similar) as part of everyday engineering workflows. Experience with Agentic development a plus.
Experience with Docker and container-based deployment practices
Experience with CI/CD tools such as GitHub Actions, Jenkins, ArgoCD, GitLab CI, or similar technologies
Experience with infrastructure-as-code tools such as Terraform or equivalent
Proficiency with scripting or automation using Python, Bash, Go, or similar languages
Understanding of networking fundamentals including DNS, TLS, routing, firewall concepts, and load balancing
Familiarity with observability and monitoring tools used to operate production systems
Experience troubleshooting applications and infrastructure in production environments
Familiarity with Java-based applications and services is beneficial
Strong communication and collaboration skills with the ability to work effectively across technical and non-technical teams
Education
Bachelor's degree in Computer Science or other technical discipline, or equivalent experience.
Black Duck is an equal opportunity employer. We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law. Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.