DevOps Engineer 3 (Sr DevSec Engineer)

Black Duck Software, Inc.; Burlington (MA); On-site; USD 135,800 - 180,000; Full time

Job summary

Black Duck Software, Inc. is seeking a Staff DevOps Engineer for Cloud Operations. You will design, implement, and operate secure, highly available SaaS and Hosted services on Google Cloud Platform (GCP) and lead end-to-end operational responsibilities across multiple regions.

The role emphasizes hands-on GCP networking, containerized deployments, and automation, with AI/LLM-assisted tooling to accelerate incident response and documentation. Onsite in Burlington, MA three days per week.

Qualifications

• Experience with GCP and multi-region network design.
• Experience with containerized workloads and Kubernetes.
• Proficient in scripting (Python, Bash, Go).
• Strong security/compliance knowledge (SOC2, ISO-27001, NIST).
• Comfortable using AI/LLM tools for automation and troubleshooting.

Responsibilities

• Design, build, and maintain resilient SaaS/Hosted infra on GCP.
• Manage secure GCP network architecture (VPC, VPN, DNS).
• Automate deployment pipelines and incident response with CI/CD/GitOps.
• Monitor performance with Cloud Monitoring/Logging and troubleshoot stack issues.
• Collaborate with Engineering, Product, and Services to productionize features.

Skills

GCP infrastructure

Kubernetes

CI/CD

Automation scripting

AI/LLM tooling

Security/compliance

Networking concepts

Education

Bachelor's degree in CS or related

Tools

Docker

Terraform

Jenkins

GitHub Actions

ArgoCD

Job description

Sr DevSec 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 strong hands‑on GCP infrastructure and networking expertise, is a self‑starter who thrives in a fast‑paced environment, excels at problem solving, actively leverages AI and LLM tools to accelerate their work, and is committed to delivering seamless, highly available service experiences to enterprise customers worldwide.

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 SOC2 Type 2, ISO-27001, NIST 800‑53
• 7+ years’ experience in 24x7 production operations supporting a highly available SaaS or cloud service environment

Qualifications

• 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
• Strong interpersonal and teaming skills – ability to set and enforce process and influence engineers who are not direct reports

Education

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

About Black Duck

Organizations worldwide use Black Duck Software’s industry‑leading products to secure and manage open source software, eliminating the pain related to security vulnerabilities, compliance and operational risk. Black Duck is headquartered in Burlington.

Pay Range

$135,800 – $180,000 USD

Equal Opportunity Employer

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.

Additional Requirements

Position requires U.S. citizenship and requires employees to be based in Burlington, MA, working onsite three times per week.