Carlsbad, CA United States (Onsite)
TypeFull-time
Role SummaryThe DevOps Engineer will own the deployment, scaling, and monitoring of GenAI systems across cloud-native and hybrid platforms. You'll collaborate with AI Engineers and infrastructure teams to ensure reliable and secure AI operations.
Key Responsibilities- Design and manage CI/CD pipelines using GitHub
- Develop and maintain robust CI/CD pipelines tailored specifically for deploying autonomous agentic AI systems and related software components.
- Build and automate cloud infrastructure optimized for deploying, scaling, and managing autonomous AI agents.
- Implement comprehensive monitoring, logging, and alerting for agentic AI processes, ensuring reliability, performance, and continuous improvement.
- Collaborate closely with Agentic AI engineers and architects to streamline workflows for training, deploying, and updating agentic AI models.
- Manage infrastructure security, access control, and compliance related to sensitive AI data and automated agent operations.
- Containerize and deploy LLM apps on hybrid infrastructure (e.g., public cloud, on-prem)
- Configure observability platforms such as Dynatrace for observability and incident response
- Automate integration and event-driven workflows using n8n
- Secure AI pipelines, manage secrets, and enable role-based access controls
- Collaborate with QA for integration with test automation tools such as Functionize, Mabl, and Port
- 4+ years in DevOps, MLOps, or infrastructure engineering
- Extensive experience with automation and infrastructure management supporting AI agent workloads.
- Expertise with containerization (Docker, Kubernetes), IaC (Terraform), and orchestration tools for agentic AI platforms.
- Familiarity with platforms and frameworks commonly used for autonomous AI agents (e.g., LangChain, LangGraph, Vector DBs, OpenAI APIs).
- Experience with GitHub Actions, container orchestration, MCP Servers, and hybrid cloud deployment
- Familiarity with Dynatrace for production monitoring
- Experience supporting LangChain, LangGraph, and vector databases (e.g., Qdrant)
- Strong security, scripting, and CI/CD automation background
- Detail-oriented and proactive approach to system reliability, scalability, and security.
- Strong collaboration skills to efficiently support agile development cycles for agentic AI products.
Skills Required
- 4+ years of experience in DevOps, MLOps, or infrastructure engineering
- Experience with automation and infrastructure management supporting AI agent workloads
- Expertise with Docker and Kubernetes
- Expertise with Terraform and infrastructure as code
- Experience with orchestration tools for agentic AI platforms
- Familiarity with LangChain, LangGraph, vector databases, and OpenAI APIs
- Experience with GitHub Actions, container orchestration, MCP Servers, and hybrid cloud deployment
- Familiarity with Dynatrace for production monitoring
- Experience supporting LangChain, LangGraph, and vector databases such as Qdrant
- Strong security, scripting, and CI/CD automation background
- Detail-oriented and proactive approach to system reliability, scalability, and security
- Strong collaboration skills supporting agile development cycles for agentic AI products
What We Do
Hansen Technologies (ASX:HSN) is a global software and services provider to the energy, water/utilities and telecommunications industries. The company currently serves more than 600 customers in over 80 countries, supported by a collaborative and diverse team that embraces the hybrid way of working. For connection and collaboration, we have more than 36 offices and development centres located around the world. Within the communications industry, 5G represents the next new frontier for our customers – that unchartered territory to create opportunities and capitalise on new business models and resulting revenue streams. In the energy sector, we are in the midst of a transition. The move to renewables and self-generated energy changes the traditional commercial model. Today, our customers are no longer in the era of supplying basic commodity services - they are in era of providing new energy services and related experiences. We help our customers traverse these challenges and opportunities and realise the next new monetisable experiences. And that is why our mission is to provide industry-specific software products and expertise that enables our customers to easily capitalise on the commercial opportunities of the evolving energy, utilities and communications markets. We make this possible by providing highly reliable, mission-critical software and specific industry expertise to help our customers more easily innovate and sell new services and market offerings, comply with changing market regulation, and power new business models in areas such as emerging sustainable energy supply, IoT, and new next-generation connected services. We aim to achieve this through long term collaboration with our customers and partners and through a global workforce of skilled professionals that embrace challenges and are committed to positive outcomes for our company, employees, customers, and the planet
