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Senior DevOps Engineer - Cloud Operations

Black Duck Software, Inc.
CompanyBlack Duck Software, Inc.
CategoryEngineering
LocationBurlington
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted5 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
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.       Key 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.       Key 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, J
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