DevOps Engineer 3 (Sr DevSec Engineer)

Responsibilities

• Design, build, and maintain resilient, secure, and highly available infrastructure for all SaaS and Hosted services on GCP to meet established SLAs
• Design and manage secure, scalable GCP network architecture — including VPC design, VPC peering, shared VPC, Cloud Interconnect/VPN, Cloud NAT, firewall rules, and DNS
• 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 — using AI and LLM tools to accelerate automation, generate scripts, diagnose incidents, and improve documentation quality
• Proactively meet standards for information security and compliance, such as ISO, SOX, SSAE 16, etc.

Requirements

• 7+ years' experience in 24x7 production operations supporting a highly available SaaS or cloud service environment
• Strong, hands-on experience with Google Cloud Platform (GCP) — including GKE, Cloud Run, Cloud Storage, VPC networking, IAM, and GCP-native monitoring and logging services
• Strong, hands-on GCP infrastructure and networking experience — including VPC architecture, Cloud Interconnect/VPN, load balancing (GLB, ILB), Cloud DNS, firewall policies, and multi-region network design
• Experience with containerization and image management using Docker; familiarity with container security best practices
• CI/CD pipeline experience (Jenkins, GitHub Actions, ArgoCD, or equivalent); GitOps workflow experience a strong plus
• Experience with Java applications and related J2EE technology stack
• Proficiency in scripting languages (Python, Bash, or Go preferred); experience with infrastructure-as-code tools (Terraform, or equivalent)
• Comfortable using AI and LLM tools (e.g., GitHub Copilot, ChatGPT, Claude, or similar) as everyday productivity aids — for scripting, troubleshooting, documentation, and on-call investigation
• Strong understanding of networking concepts (DNS, TLS, load balancing, service mesh) and troubleshooting techniques

Qualifications

• Education: Bachelor's degree in Computer Science or other technical discipline, or equivalent experience

Skills

• Hands-on GCP infrastructure and networking experience
• Containerization and image management
• CI/CD pipeline experience
• Scripting languages (Python, Bash, or Go)
• AI and LLM tools (e.g., GitHub Copilot, ChatGPT, Claude, or similar)
• Networking concepts (DNS, TLS, load balancing, service mesh)

Benefits

Black Duck offers a competitive compensation package, including a pay range of $135,800 USD - $180,000 USD, along with benefits such as health insurance, retirement plans, and paid time off.

Pay

$135,800 USD - $180,000 USD

Schedule

N/A