Naviteq LTD

Overview: Naviteq is a company that provides cloud engineering services focused on DevOps, FinOps, and AI-driven cloud automation. The organisation offers on-demand access to senior DevOps engineers who integrate with existing engineering teams. Operations are oriented around public cloud platforms and hybrid or multi-cloud environments, with stated experience across AWS, Google Cloud Platform, and Microsoft Azure. Clients are described as SaaS startups, cloud-native enterprises, and engineering leadership roles such as CTOs, VPs of Engineering, cloud architects, and product leaders.

Services and Capabilities:

• DevOps as a Service: Design, build, and manage end-to-end delivery pipelines, CI/CD automation, integrated testing, deployment rollback, and continuous delivery processes.
• Kubernetes and Cluster Management: Provisioning, configuration, and ongoing maintenance of Kubernetes clusters using GitOps, policy-as-code, and enterprise configurations.
• Infrastructure as Code (IaC): Creation and maintenance of repeatable, version-controlled infrastructure using tools such as Terraform, CloudFormation, and Pulumi.
• FinOps and Cost Optimization: Monitoring and analysis of cloud spend, rightsizing, reserved instance planning, and automation to reduce waste across cloud and container environments.
• Cloud Migration and Managed Cloud Services: Planning and execution of migrations to AWS and hybrid clouds, plus ongoing managed services including provisioning, scaling, monitoring, and patching.
• Monitoring, Security and Observability: Centralized logging, application performance monitoring, automated policy enforcement, zero-trust controls, and real-time alerting.

Industry Focus: Work is targeted at SaaS companies and cloud-native enterprises, as well as teams operating AI/ML platforms and data pipelines. For SaaS and cloud-native businesses, services address continuous delivery, scalability, and operational automation. For AI/ML platforms, support includes infrastructure for distributed workloads, data pipelines, and management of AI-related compute. For enterprise clients, emphasis is placed on governance, compliance, and production readiness.

Technology and Delivery Approach: Recurring technical themes include GitOps-driven delivery, Infrastructure as Code, centralized observability, automation of policy and remediation, and AI-assisted workflows for provisioning and drift detection. Delivery emphasizes embedding experienced engineers into client teams, use of tooling for automated testing and deployment, integration with AWS/GCP/Azure environments, and automation of cost-management and operational processes.