Sr Devops Engineer - Cloud

As a Software Engineer in the role described, you will be responsible for designing, developing, and maintaining application features. Your core responsibilities will also include owning CI/CD pipelines, infrastructure automation, deployments, and ensuring environment reliability. You will develop scalable code and automate build/release processes to support continuous delivery and model lifecycle workflows. Additionally, you will support Azure Foundry-based workloads, including model deployments, agent pipelines, evaluation workflows, and operational monitoring. Collaboration with engineering, cloud, AI, QA, and operations teams will be essential to ensure reliable, secure, and scalable delivery. You should be open to learning and adapting to existing DevOps, Azure AI Foundry frameworks, and engineering practices used by the team. Key Responsibilities: - Design, develop, and maintain backend services and cloud-native applications. - Build and automate CI/CD pipelines for both application code and AI Foundry models/agents. - Automate cloud infrastructure provisioning using Terraform. - Manage Azure Foundry deployments, including model endpoints, agent workflows, service configurations, and lifecycle tracking. - Deploy containerized workloads on Kubernetes (AKS) and manage Helm-based releases. - Implement monitoring, alerting, and observability for applications, Foundry agents, and pipelines. - Perform debugging, root-cause analysis, and environment support for production systems. - Integrate automation tests and validation steps into CI/CD pipelines. - Collaborate with product, AI, and engineering teams to build scalable and reliable solutions. - Maintain strong coding standards, security best practices, and version control discipline. - Participate in Agile ceremonies and contribute to continuous improvement. - Identify performance, cost, and security optimization opportunities across cloud and AI workloads. Qualifications Required: - Bachelors degree in computer science, Engineering, or related discipline (or equivalent hands-on experience) - 57 years of combined DevOps + Development experience - Experience in Azure Cloud and Azure AI Foundry (model deployment, agent operations, flow orchestration) - Microservices development (Java/Python/Node.js) - CI/CD automation (GitHub Actions) - Kubernetes, Docker, container-based deployments - Infrastructure as Code using Terraform - REST API design and integration - SQL and distributed data platforms (Snowflake preferred) - Expertise in Azure Foundry workspace setup, model region support, model/agent lifecycle - Git branching strategies, deployment governance - Observability frameworks: Prometheus, Grafana/Elastic - Secure development practices and secret management (Azure Key Vault) - System debugging, performance tuning, and release automation In this role, you will be part of a technical environment that includes programming languages like Python, Java, and Node.js. You will work with tools such as GitHub Actions for build & CI/CD, Terraform and Ansible for IaC & Config, Docker and Kubernetes (AKS) for containers/orchestration, and various other technologies like Snowflake, PostgreSQL, Prometheus, Grafana/ELK/EFK for monitoring/logging, and Apache Kafka for messaging. The cloud providers used are Azure and GCP, with an emphasis on Azure services such as App Service, APIM, Key Vault, and Functions. The application architecture you will work with involves microservices designed using an API-first approach, containerized workloads deployed on Kubernetes, and Azure Foundryintegrated pipelines enabling model/agent deployments. The cloud architecture includes Azure Cloud Services, Azure AI Foundry for model deployments, end-to-end governance with GitHub Actions, and Infrastructure-as-Code for provisioning and drift management. Frameworks and tools you will utilize include Spring Boot, FastAPI, Express.js, Azure Foundry SDK, Docker images, Helm charts, and Git, among others. The company values unite the team and drive their success, ensuring a collaborative and inclusive work environment. As a Software Engineer in the role described, you will be responsible for designing, developing, and maintaining application features. Your core responsibilities will also include owning CI/CD pipelines, infrastructure automation, deployments, and ensuring environment reliability. You will develop scalable code and automate build/release processes to support continuous delivery and model lifecycle workflows. Additionally, you will support Azure Foundry-based workloads, including model deployments, agent pipelines, evaluation workflows, and operational monitoring. Collaboration with engineering, cloud, AI, QA, and operations teams will be essential to ensure reliable, secure, and scalable delivery. You should be open to learning and adapting to existing DevOps, Azure AI Foundry frameworks, and engineering practices used by the team. Key Responsibilities: - Design, develop, a