DevOps Engineer

Cloud Infrastructure: Compute: Proficiency in managing and optimizing virtual machines, containers, and serverless computing on GCP (e.g., Compute Engine, Kubernetes Engine, Cloud Functions). Networking: In-depth knowledge of VPCs, subnets, firewalls, VPNs, and hybrid connectivity solutions (e.g., Cloud Interconnect, Cloud VPN). Storage: Expertise in various storage solutions, including Cloud Storage, Persistent Disks, Filestore, and database services like Cloud SQL, Bigtable, and Firestore. Security: Identity and Access Management (IAM): Strong understanding of IAM roles, policies, and best practices for securing cloud resources. Data Protection: Experience with encryption, key management (e.g., Cloud KMS), and data loss prevention (DLP) services. Compliance: Familiarity with compliance standards and implementing security controls to meet regulatory requirements. HashiCorp Vault: Proficiency in using HashiCorp Vault for secrets management, encryption, and access control. Automation and Scripting: Scripting Languages: Proficiency in scripting languages such as Python, Bash, and PowerShell for automating tasks and managing cloud resources. Infrastructure as Code (IaC): Experience with IaC tools like Terraform, Cloud Deployment Manager, and Ansible for provisioning and managing infrastructure. HashiCorp Terraform Enterprise: Expertise in using Terraform Enterprise for infrastructure automation, collaboration, and governance. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment (CI/CD) tools and practices (e.g., Jenkins, GitLab CI, Cloud Build). DevOps and Monitoring: Containerization: Expertise in containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes). Monitoring and Logging: Proficiency in monitoring and logging tools (e.g., Stackdriver, Prometheus, Grafana) to ensure the health and performance of cloud environments. Incident Management: Experience with incident response and management tools (e.g., PagerDuty, Opsgenie) to handle and resolve issues promptly. Data and Analytics: Big Data: Knowledge of big data processing and analytics services (e.g., BigQuery, Dataflow, Dataproc) for handling large-scale data workloads. Machine Learning: Familiarity with machine learning services (e.g., AI Platform, AutoML) and integrating ML models into cloud applications. Data Integration: Experience with data integration and ETL tools (e.g., Cloud Data Fusion, Apache Airflow) for building data pipelines. Cloud Architecture: Design Patterns: Understanding of cloud-native design patterns and best practices for building scalable, resilient, and cost-effective solutions. Microservices: Experience with microservices architecture and related technologies (e.g., Istio, Envoy) for building and managing distributed applications. API Management: Proficiency in API management tools (e.g., Apigee) for designing, securing, and monitoring APIs.

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian will on request provide accommodation for disabilities to support your participation in all aspects of Recruitment, Assessment and selection process