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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure DevOps Engineer - **Company:** Forescout Technologies Inc. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Audit Trail, Microsoft Azure, Bash Shell, Software as a Service, Continuous Integration, DevOps, Disaster Recovery, Distributed Data Store, Distributed Systems, Elasticsearch, Github, Python (Programming Language), PostgreSQL, Software Architecture, Redis, Reliability Engineering, Ansible, Prometheus, Azure Service Bus, Datadog, Pulumi, Scripting, Google Cloud, Cloud Monitoring, Grafana, Kubernetes Helm Charts, Forescout, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Performance Monitor, Azure AKS, Terraform, Devsecops, Serverless Computing, Key Vault, Golang, Microservices - **Published:** October 9, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88567334/1 ## About the Role * 5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering roles. * 2+ years of experience with Azure Cloud and its native services (especially AKS, Azure Functions, Azure Service Bus, Azure Monitor, Key Vault, etc.). * Proven experience designing and maintaining CI/CD pipelines for microservices architectures and serverless environments. * Hands-on experience with Kubernetes, Helm charts, and managing cloud-native workloads. * Expertise in infrastructure-as-code using tools like Terraform. * Excellent scripting and automation skills (e.g., Bash, Python). * Deep experience with monitoring, observability, incident response, and alerting using tools like Prometheus, Grafana, Azure Monitor, etc. * Familiarity with FedRAMP, SOC 2, or other security/compliance frameworks (working experience on a FedRAMP-authorized environment is a strong plus). * Excellent communication skills and ability to work cross-functionally with engineering, security, and compliance teams. * Proven ability to work effectively in remote teams across time zones. * Bachelor's degree in computer science, engineering, or related field, or equivalent practical experience. Preferred Qualifications * Experience with GitHub Actions/Workflows, and GitLab CI. * Experience with distributed databases such as PostgreSQL, Elasticsearch, Redis. * Exposure to security practices in SaaS environments (encryption, secret management, network hardening). * Familiarity with change management processes. * Relevant Azure certifications. * Prior experience contributing to or leading FedRAMP or other regulated compliance initiatives. Key Skills * Strategic thinking and problem-solving in complex distributed environments. * Excellent leadership and mentorship capabilities. * Excellent communication skills with both technical and non-technical stakeholders. * Excellent organizational and project management abilities. * In-depth understanding of CI/CD strategies, SRE, and DevSecOps best practices Core Technical Competencies * Deep expertise in cloud platforms (AWS, Azure, GCP) including architecture and cost management. * Advanced proficiency with Kubernetes, Helm, and container ecosystems. * Mastery in infrastructure as code (Terraform, Ansible, Pulumi). * Fluent in scripting languages (e.g., Python, Bash, Go). * Experience with observability tools (Datadog, Prometheus, ELK, Grafana). * Excellent grasp of networking, security, and compliance standards (e.g., SOC2, ISO 27001) ## Description * This role supports the development, operation, security, or compliance of systems in regulated U.S. federal environments. * Collaborate with engineering teams to design, build, secure, and scale our SaaS platform on Azure using services like AKS (Azure Kubernetes Service), Azure Functions, Azure Service Bus, and related services. * Lead the development and optimization of CI/CD pipelines, infrastructure automation, and release engineering workflows using tools like Terraform, Helm, GitHub Actions, and Azure DevOps. * Drive SRE principles across the organization, focusing on observability, incident response, availability, performance monitoring, and operational excellence. * Contribute directly to our FedRAMP compliance readiness efforts, including secure configuration management, audit logging, documentation, and operational procedures. * Provide Tier 2/3 operational support, including support during maintenance windows and participation in an on-call rotation during North American business hours. * Support ongoing capacity planning, cost optimization, and scaling efforts for key infrastructure services. * Maintain and improve production monitoring, alerting, and runbooks to ensure high reliability and rapid-incident response. * Participate in security, availability, and disaster recovery planning. * Document operational processes, architectural decisions, and runbooks in a structured, trackable system (e.g., Jira, Confluence)., We are committed to maintaining a secure environment for our customers, employees, and business operations. To support these efforts, candidates may be asked to complete job-related pre-employment screening and verification processes, to the extent permitted by applicable law. Depending on the role and location, these measures may include identity verification, employment verification, background screening, work authorization verification, and other lawful security-related checks. Forescout conducts these processes in accordance with applicable laws and regulations, including privacy and data protection requirements, and obtains any required notices, authorizations, or consent before conducting such screenings. For roles supporting U.S. federal environments, candidates must meet applicable federal eligibility requirements, including U.S. Person status and may be required to obtain and maintain a government background investigation or security clearance. Notice Regarding the Use of Artificial Intelligence in Recruitment As part of our recruitment process, we may use artificial intelligence ("AI") or automated decision-support tools to assist with reviewing applications, assessing job-related qualifications, matching candidates to role requirements, scheduling interviews, and supporting candidate evaluation. These tools are designed to assist our recruiters and hiring managers and are not the sole basis for hiring decisions. Qualified personnel review relevant candidate information and exercise human judgment throughout the recruitment process. We are committed to the responsible use of AI and seek to deploy and use AI-enabled recruiting tools in accordance with applicable laws, regulations, and our internal governance standards.