[Hiring] Cloud/GenAI Engineer @Elastic

Role Description

We are looking for an experienced and ambitious builder to join our Elastic IT team in the role of Cloud Engineer. In this role, you will be a primary contributor to the IT - GenAI roadmap. You will partner across IT to identify, implement and manage a portfolio of GenAI solutions that will be leveraged across our organization. This is an exciting opportunity to be a primary contributor to our AI strategy, helping design and implement AI infrastructure, custom solutions and third party SaaS offerings.

The IT Team at Elastic is seeking a talented Cloud/GenAI Engineer to strengthen our internal infrastructure and accelerate our AI initiatives. As a key member of our IT organization, you'll be responsible for architecting, implementing, and scaling cloud-native infrastructure while driving our generative AI capabilities. This role combines advanced DevOps engineering with cutting-edge AI infrastructure management.

The ideal candidate brings deep technical expertise in distributed systems, container orchestration, and infrastructure automation, with a proven track record in building resilient, scalable cloud platforms. You'll be working in a highly-distributed team environment, collaborating with global IT professionals to drive innovation and operational excellence.

What You Will Be Doing

• Develop comprehensive infrastructure as code using Terraform, including custom providers and modules
• Implement configuration management using Ansible, including custom roles and playbooks
• Create automated deployment pipelines with advanced CI/CD practices (GitOps, trunk-based development)
• Design and implement infrastructure testing frameworks and validation procedures
• Implement comprehensive observability solutions using the Elastic Stack
• Design and maintain logging architectures with log aggregation and analysis
• Implement security controls and compliance measures across the infrastructure
• Manage secrets and certificates using HashiCorp Vault and cert-manager
• Manage and optimize containerized environments using Kubernetes, including custom resource definitions (CRDs) and operators
• Implement advanced Kubernetes features like HPA/VPA, network policies, and pod security policies
• Design and maintain container image build pipelines with security scanning and optimization
• Design and implement highly available, fault-tolerant cloud infrastructure supporting internal systems and GenAI applications
• Architect multi-region Kubernetes clusters with advanced networking and security configurations
• Implement service mesh architectures for microservices communication and traffic management
• Design and maintain GitOps workflows for infrastructure and application deployment

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing generative AI models, including Natural Language Processing (NLP) or computer vision models.
• Proficiency in deep learning frameworks such as Microsoft Cognitive Services, TensorFlow, PyTorch, or Hugging Face Transformers.
• Strong knowledge of cloud platforms and services (e.g., AWS, Azure, GCP).
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Infrastructure as Code (Terraform, CloudFormation, ARM templates)
• Configuration management (Ansible, Salt)
• Advanced networking expertise, including overlay networks (especially VPNs), VPC configuration and management, and load balancing for performance and reliability.
• GitOps workflows (ArgoCD, Flux)
• CI/CD platforms (Jenkins, GitLab CI, GitHub Actions)
• Advanced Git workflows and branching strategies
• Experience implementing configuration as code practices beyond infrastructure provisioning, such as managing application and service configurations using tools like Ansible, Salt, or similar.
• Ability to design reusable, modular configuration templates that support rapid deployment and consistent environments.
• Hands-on experience with Elasticsearch, including cluster management, index lifecycle policies, and query optimization.
• Ability to design and maintain scalable search and analytics solutions using the Elastic Stack.
• Familiarity with integrating Elasticsearch into observability, logging, and monitoring workflows is highly valued.
• Proficiency in building and customizing dashboards using Kibana or other visualization tools.
• Ability to translate complex data into actionable insights for technical and non-technical stakeholders.
• Experience with dashboard automation and templating is a plus.
• Knowledge of DevOps practices for model deployment and automation.
• Strong problem-solving skills and the ability to work in a dynamic and fast-paced environment.
• Excellent communication and collaboration skills.
• Familiarity with ethical AI practices and responsible AI development.
• Strong experience with major cloud platforms (AWS, GCP, or Azure)

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave