AWS DevSecOps & LLMOps Engineer
We are seeking an AWS DevSecOps & LLMOps Engineer to design, automate, and operate secure, scalable cloud platforms and machine learning services. You will work across software engineering, cloud infrastructure, cybersecurity, and artificial intelligence teams to build reliable delivery pipelines and enable the safe deployment of large language model (LLM) applications. This role is suited to an experienced engineer who enjoys solving complex technical problems and embedding security, quality, and operational excellence throughout the development lifecycle.
Your responsibilities will include designing and managing AWS environments using services such as EKS, ECS, Lambda, S3, IAM, CloudFormation, and Terraform. You will develop CI/CD pipelines, implement infrastructure as code, improve observability, and establish automated testing, vulnerability scanning, secrets management, and compliance controls. You will support containerised workloads, monitor system performance and reliability, participate in incident response, and help define standards for resilience, disaster recovery, and cost optimisation. You will also create and maintain secure MLOps and LLMOps workflows covering data preparation, model evaluation, prompt and version management, deployment, monitoring, and controlled release of generative AI solutions.
Applicants should have hands-on experience with AWS, Linux, Docker, Kubernetes, Terraform or a comparable infrastructure-as-code tool, and modern CI/CD platforms. Strong knowledge of cloud security principles, networking, identity and access management, DevSecOps practices, and observability tools is essential. Experience with Python or another scripting language, Git-based workflows, and automated testing is expected. Familiarity with machine learning platforms, model registries, vector databases, prompt engineering, LLM evaluation, and responsible AI practices would be highly valuable. You should communicate clearly, collaborate effectively with technical and non-technical stakeholders, and be comfortable working in an environment that values continuous improvement, ownership, and secure innovation.
AWS DevSecOps & LLMOps Engineer
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