Senior DevOps Engineer - Cloud Operations
About The Position
Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle. Sr. DevOps Engineer, Cloud Operations Staff. DevOps Engineer will be a key player on the Cloud Operations team responsible for all SaaS and Hosted services across the company's product portfolio. They will proactively work with Engineering, Product, IT, and other functional departments to design, implement, and operate our global customer-facing infrastructure on Google Cloud Platform (GCP). The ideal candidate brings deep hands-on Kubernetes expertise, is a self-starter who thrives in a fast-paced environment, excels at problem solving, and is committed to delivering seamless, highly available service experiences to enterprise customers worldwide.
Requirements
- Hands-on Google Cloud Platform expertise: GKE, Cloud Run, Cloud Storage, VPC networking, IAM, Cloud Monitoring/Logging
- Deep Kubernetes expertise: deploy and operate production clusters at scale, including control plane management, multi-cluster networking, RBAC, and Helm chart authoring
- Cloud and networking expertise: design and operate cloud network infrastructure (VPC, subnets, firewalls, load balancing, PSC, private connectivity) with strong fundamentals in DNS, TLS, service mesh, and network troubleshooting
- Cloud security controls: encryption (CMEK), secrets management (Vault, Cloud Secret Manager), and audit logging
- CI/CD pipeline experience (GitHub Actions, GitOps/ ArgoCD, or equivalent)
- Scripting proficiency (Python, Bash, or Go); infrastructure-as-code tools (Terraform or equivalent)
- Experience supporting Java/J2EE applications in production (understanding deployments, JVM tuning, debugging)
- Proven ability to establish process, influence cross-functionally, and operate independently
Responsibilities
- Design, build, and maintain resilient, secure, and highly available infrastructure for all SaaS and Hosted services on GCP to meet established SLAs
- Deploy, manage, and scale Kubernetes clusters (GKE) across multiple regions; own cluster lifecycle, upgrades, and capacity planning
- Automate deployment pipelines, monitoring, alerting, and incident response using modern CI/CD and GitOps practices
- Monitor site stability and performance using GCP-native observability tooling (Cloud Monitoring, Cloud Logging, Error Reporting) and troubleshoot issues across the stack
- Scale infrastructure to meet rapidly increasing demand using GCP autoscaling, load balancing, and cost-optimization best practices
- Own end-to-end operational responsibility for all customer-facing SaaS and Hosted environments, including availability, performance, and change management
- Manage cross-functional requirements working with Engineering, Product, Services, and other departments
- Collaborate with developers to bring new features and services into production via containerized, Kubernetes-native deployment patterns
- Develop and improve operational practices, runbooks, and procedures
- Proactively meet standards for information security and compliance, such as ISO, SOX, SSAE 16, etc.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
