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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevSecOps - **Company:** Veeam Software Corporation - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $110,700.0 - $184,400.0 - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Abstraction Layers, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Cyber Security, Continuous Integration, Customer Data Management, Data Security, Linux, Distributed Systems, Elasticsearch, Github, Graph Database, Monitoring of Systems, Python (Programming Language), PostgreSQL, Linux System Administration, MongoDB, Neo4j, Networking Basics, Network Segmentation, NoSQL, Octopus Deploy, Performance Tuning, Reliability Engineering, Prometheus, Zero Trust Network Access, Standard Sql, Security Information and Event Management, Software Engineering, Spinnaker, Network Routing, Data Processing, Google Cloud, Load Balancing, Autoscaling, Istio, Delivery Pipeline, Grafana, Multi-Cloud, Cloudformation, Kubernetes, Linkerd (Service Mesh), Terraform, Devsecops, Jenkins, Golang - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/devsecops-san-jose-ca--bb048014-8196-4a78-9496-677dcc62c28e ## About the Role Risk, Artificial Intelligence (AI), Information/Data Security (InfoSec), Security Information and Event Management (SIEM), Cloud Computing, Data Processing, Automation, Security Infrastructure, Autoscaling, Customer/Client Research, * Experience: 5+ years of software development with deep operational experience in cloud-native environments (AWS, Azure, GCP). * Infrastructure as Code Mastery: Expert-level proficiency with Terraform or AWS CloudFormation, with a portfolio of reusable modules and patterns. * Container Orchestration: Production experience running Kubernetes at scale, including deep knowledge of networking, security contexts, and stateful workloads. * CI/CD Architecture: Hands-on experience designing GitOps-based deployment pipelines using tools like ArgoCD, Spinnaker, Jenkins, or GitHub Actions. * Development Skills: Professional coding ability in Python or Golang-you''re not just configuring tools, you''re building them. * Database Operations: Working knowledge of SQL (Postgres), NoSQL (MongoDB/Elasticsearch), and Graph databases (Neo4j, Neptune) for operational troubleshooting and performance tuning. * Linux & Networking Fundamentals: Deep understanding of Linux systems administration, bash scripting, network routing, load balancing, and service mesh architectures. * Monitoring & Observability: Experience implementing full-stack observability with metrics, logs, and traces using Prometheus, Grafana, ELK, or similar tooling. Bonus Points * Security Certifications: AWS Security Specialty, CKS (Certified Kubernetes Security Specialist), or equivalent security-focused credentials. * Service Mesh Experience: Hands-on work with Istio, Linkerd, or Consul for advanced traffic management and zero-trust networking. * Chaos Engineering: Experience with fault injection frameworks (Chaos Monkey, Litmus) to build resilient systems. * GitOps Evangelism: You''ve championed GitOps practices and trained teams on declarative infrastructure patterns. * Cost Optimization: Track record of reducing cloud spend through intelligent resource management and architectural improvements. ## Description Securiti''s platform processes billions of data events per day across hundreds of enterprise clouds. As a Senior DevSecOps Engineer, you will build and maintain the invisible infrastructure that makes this scale possible-ensuring developers can ship features daily while maintaining fortress-level security. You will be responsible for designing self-healing deployment pipelines that turn infrastructure into code, security into automation, and complexity into reliability. Your work ensures that when a customer onboards petabytes of data, our platform scales transparently-without manual intervention. Responsibilities * Security-First Infrastructure: Architect and implement infrastructure-as-code using Terraform and CloudFormation, ensuring every deployment follows zero-trust principles and least-privilege access models. * Kubernetes at Scale: Design and optimize our Kubernetes clusters to handle massive workloads, implementing intelligent autoscaling, pod security policies, and network segmentation that protects sensitive customer data. * Zero-Downtime Deployments: Build sophisticated CI/CD pipelines using ArgoCD, Spinnaker, and GitOps patterns that enable blue/green and canary deployments-allowing us to ship multiple times per day with zero customer impact. * Observability Engineering: Implement comprehensive monitoring and alerting using Prometheus, Grafana, and ELK, creating dashboards that surface anomalies before they become incidents. * Multi-Cloud Orchestration: Manage infrastructure across AWS, Azure, and GCP, building abstraction layers that allow our platform to run anywhere while maintaining consistent security postures. * Performance Under Fire: Be on-call to diagnose and resolve production issues in real-time, using your deep systems knowledge to troubleshoot complex distributed systems problems across the stack. * Automation-First Mindset: Write Python and Go tooling that automates repetitive operational tasks, turning hours of manual work into seconds of automated execution.