Senior DevOps / Platform Engineer

TLVTech is a dynamic technology firm dedicated to building exceptional products using modern technologies for some of the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

We are looking for an experienced Senior DevOps / Platform Engineer to join a highly impactful project, helping scale and optimize a cloud-native SaaS platform in a fast-paced, technology-driven environment.

Immediate availability – Advantage

Key Responsibilities

• Manage and optimize Kubernetes-based environments using Azure AKS.

• Support production and non-production SaaS environments and improve platform reliability, scalability, and performance.

• Build and maintain Infrastructure as Code solutions and automate cloud resource provisioning.

• Improve CI/CD and GitOps workflows using GitHub Actions and Argo CD.

• Develop reusable tooling, scripts, and automations to reduce manual operational effort.

• Implement monitoring, alerting, logging, and operational best practices.

• Support troubleshooting across distributed systems and production environments.

• Implement security best practices, including IAM, secrets management, network policies, and access controls.

• Leverage AI-powered tools to accelerate DevOps workflows and improve engineering productivity.

Requirements

• 5+ years of experience in DevOps / Platform Engineering.

• Strong hands-on experience with Microsoft Azure.

• Strong experience with Kubernetes / AKS and Docker.

• Experience with Terraform and Infrastructure as Code.

• Strong experience with GitHub Actions and Argo CD / GitOps.

• Strong scripting and automation skills, preferably Python.

• Solid understanding of networking, DNS, TLS, Load Balancers, and Ingress Controllers.

• Experience supporting production environments and troubleshooting distributed systems.

• Experience with observability platforms such as Datadog, Elastic, Grafana, or Prometheus.

• Experience with PostgreSQL and/or SQL Server.

• Strong understanding of cloud security, identity and access management, and secrets management.

• Experience with AI-powered development tools, LLMs, or AI-assisted engineering – Advantage.

• Experience with SaaS environments, Azure Key Vault, Cloudflare, RabbitMQ, Redis, Elasticsearch, or Kubernetes Network Policies – Advantage.