• Design, develop and operationally manage automated, resilient, high availability, self-healing, secure platforms with native-AI capabilities for IT needs, serving both internal as well as customer business capabilities • Develop , and manage the Observability OpenTelemetry Central Backend Stack: Grafana Enterprise, Mimir, Loki, Tempo, and Alertmanager on Kubernetes/RKE2 via Helm and GitLab CI -CD . • Build and manage iaC and CI-CD for automated provisioning and deployment, including Terraform modules for Infra/ VM/storage provisioning, Ansible AWX playbooks for OS/ App bootstrap, ArgoCD and Helm for Kubernetes configuration . • Develop and manage OpenTelemetry Prometheus scrape profile library including SNMP exporters, REST API exporters, and cloud provider exporters (CloudWatch, Azure Monitor, GCP) for multiple device classes. • Develop AIOps capabilities on platforms for e.g Observability use-cases : anomaly detection integrations, event correlation rules in Alertmanager , and synthetic monitoring patterns to reduce alert noise. • Configure and maintain Zabbix auto-discovery: network range scanning, device classification, and Prometheus service discovery integration. • Build and harden Edge Stack deployments (Prometheus + OTel collector) per data center site using GitOps templates. • Integrate Alertmanager with ServiceNow: webhook routing, ticket enrichment, auto-close logic, and escalation policy configuration. • Maintain platform security: Conjur /CyberArk secret injection at runtime, mTLS between stack components, RBAC in Grafana Enterprise. • Author and maintain Grafana dashboards in JSON/GitLab — facility overview, network health, RED metrics, application telemetry. • Mentor mid-level engineers, lead code reviews, and establish engineering standards for the team. • Represent platform engineering in cross-functional architecture reviews and executive-level program updates. • Perform other duties as required and assigned

• Lead the design, development, deployment and operational management of automated, resilient, high availability, self-healing, secure platforms with native-AI capabilities for IT needs, serving both internal as well as customer business capabilities. • Lead, Build and manage the Platform Engineering team and function — hiring, mentoring, performance management, and technical roadmap ownership. • Plan, build and operate an OpenTelemetry Observability platform with technologies including Grafana, Mimir, Loki, Tempo, Alertmanager on Kubernetes/RKE2 using Helm and ArgoCD. • Build an automated federated Observability Edge Stack — Prometheus + OTel collector nodes deployed per site and Zabbix auto-discovery configuration and Prometheus scrape profile library for 10+ device classes (Cisco, Juniper, Dell, NetApp, etc.). • Design, develop and manage engineering lifecycle platforms for high-velocity secure SDLC using Gitlab and similar / related technologies. • Build and operate iaC and CI/CD platforms including GitLab CI/CD, Terraform, Ansible AWX, Helm, and ArgoCD for automated provisioning and application deployment. • Own, enhance and operate critical IT platform technologies e.g Boomi for integrations , AWS for Cloud environments, including their hosted infrastructure. • Establish and enforce platform security posture: secrets management via CyberArk/ Conjur , RBAC, mTLS , compliance boundary design, and zero inbound telemetry architecture. • Build and integrate ITSM capabilities for various platforms e.g automated incident creation, CI enrichment, and CMDB correlation • Define and implement extensibility patterns including AIOps : e.g anomaly detection hooks, event correlation pipeline design, and integration with future ML/AI tooling. • Partner with other IT and business teams for App Dev, requirements capture, delivery validation and integration needs. • Represent platform engineering in cross-functional architecture reviews and executive-level program updates. • Perform other management and technical duties as required and assigned for team and operational resilience e.g team building, on-call rotation, etc.

• Design and implement secure, scalable AWS infrastructure solutions using tools such as Terraform and CloudFormation • Refactor organization-wide environments, standardizing multi-account landing zones, unified IAM models, and automated compliance guardrails aligned with CIS benchmarks • Standardize core cloud networking, including DNS management, traffic segmentation, routing patterns, and secure cross-cloud/intra-cloud connectivity • Manage containerized applications using Docker and Kubernetes/EKS, ensuring optimal performance, scalability, and zero-trust network policies • Develop and optimize end-to-end deployment pipelines (GitHub Actions, GitLab CI, Jenkins) and create custom automation scripts using Python, Bash, or Go • Implement and maintain robust logging, monitoring, and alerting systems (CloudWatch, Prometheus, VictoriaMetrics, ELK) to enhance operational readiness and reduce downtime

Role Description Advance your career while shaping the future of cloud operations that support GDIT enterprise environments. Step into the role of Azure Cloud Engineer at GDIT, where technologists are empowered to grow meaningful careers while continually evolving their skills. As an Azure Cloud Engineer, the work you do at GDIT directly strengthens the reliability, security, and scalability of GDIT’s cloud ecosystem. In this role, you will play a pivotal part in ensuring our operations are supported by resilient, high‑performing Azure and Oracle cloud services, enabling rapid delivery, secure operations, and continuous modernization. - Support Azure‑focused cloud engineering initiatives, ensuring stable, secure, and compliant cloud operations that directly enable organizational mission success. - Collaborate with cross‑functional teams including cybersecurity, application, and infrastructure partners to ensure cloud platforms align with mission and operational requirements. - Drive innovation in automation, cloud optimization, and operational efficiency to enhance service delivery, reduce downtime, and quickly resolve mission-impacting challenges. - Utilize advanced cloud engineering tools and technologies such as Azure CLI, PowerShell, IaC frameworks, Kubernetes, Oracle Cloud services, and supporting AWS capabilities to modernize and sustain the cloud environment. Qualifications - Education: Bachelor’s degree NOT required. An additional 4 years of equivalent experience OR an Azure Certification may substitute. - Experience: 8+ years of IT engineering experience, 12+ in lieu of no degree. - 5+ years hands-on experience managing Azure cloud operations. - Strong understanding of cloud architecture, security, and automation. - Experience with PowerShell, Python, JSON, YAML, Git, and cloud-native CLIs. - Experience working with serverless, Docker, and Kubernetes. - Windows and Linux OS experience. - Demonstrated experience with Oracle Gov Cloud Infrastructure (OCI), and AWS Gov infrastructure experience/certification preferred. - US Person required. - Excellent communication and documentation skills. - Ability to work in an on-call rotation as required. Benefits - AI-powered career tool that identifies career steps and learning opportunities. - An internal mobility team focused on helping you achieve your career goals. - Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off. - Full-flex work week to own your priorities at work and at home. - Award-winning culture of innovation and a military-friendly workplace. Company Description We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.