Cloud Engineer, Generative AI

India

Elastic

Power insights and outcomes with The Elastic Search AI Platform. See into your data and find answers that matter with enterprise solutions designed to help you accelerate time to insight. Try Elastic ...

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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

We are looking for an experienced and ambitious builder to join our Elastic IT team in the role of Cloud Engineer, Generative AI. 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.

What Is The Role

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 innovative AI infrastructure management.

The ideal candidate brings deep technical expertise in distributed systems, container orchestration, and infrastructure automation, with a consistent 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:

Architecture & Infrastructure

  • Design and implement highly available, fault-tolerant cloud infrastructure supporting internal systems and GenAI applications
  • Architect multi-region Kubernetes clusters with sophisticated networking and security configurations
  • Implement service mesh architectures for microservices communication and traffic management
  • You will report and solve problems within the Elastic Cloud infrastructure services and collaborate on issues with product engineers

Containerization & Orchestration

  • Manage and optimize containerized environments using Kubernetes, including custom resource definitions (CRDs) and operators
  • Implement sophisticated Kubernetes features like HPA/VPA, network policies, and pod security policies
  • Design and maintain container image build pipelines with security scanning and optimization

Infrastructure as Code & Automation

  • Develop comprehensive IaC using Terraform, including custom providers and modules
  • Implement configuration management using Ansible, including custom roles and playbooks
  • Create automated deployment pipelines with sophisticated CI/CD practices
  • Design and implement infrastructure testing frameworks and validation procedures

Observability & Security

  • Implement comprehensive observability solutions using Prometheus, Grafana, and the Elastic Stack
  • Design and maintain logging architectures with log aggregation and analysis
  • Implement security controls and compliance measures across the infrastructure
  • Handle secrets and certificates using HashiCorp Vault and cert-manager

What You Bring Along:

We are looking for engineers with experience in the following technical skills

Container Orchestration

  • Advanced Kubernetes administration (multi-cluster, federation, custom controllers)
  • Container runtime management (Docker, Containerd)

Infrastructure & Cloud

  • Solid experience with major cloud platforms (AWS, GCP, or Azure)
  • Infrastructure as Code (Terraform, CloudFormation, ARM templates)
  • Configuration management (Ansible, Salt)
  • Advanced networking (overlay networks, SDN, load balancing)

CI/CD & Version Control

  • GitOps workflows (ArgoCD, Flux)
  • CI/CD platforms (Jenkins, GitLab CI, GitHub Actions)

Monitoring & Observability

  • Prometheus and Grafana administration
  • ELK Stack deployment and management

Bonus Points:

  • Experience with distributed databases (PostgreSQL, NoSQL)
  • Experience with GenAI/LLM deployments and optimizations
  • ML model serving platforms (KubeFlow, MLflow)
  • Steadfast desire to automate and build software tools
  • Desire to represent work in git, driven by a GitHub workflow through issues and pull requests
  • Love open source development, and have contributed to some project somewhere (doesn't have to be ours), whether through mailing lists, patches, documentation, etc.
  • Enjoy working remotely and the communication it requires
  • Love a diverse environment, working with people all over the world

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

  • 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

Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AI strategy Ansible Architecture AWS Azure CI/CD CloudFormation DevOps Distributed Systems Docker Elasticsearch ELK Engineering GCP Generative AI Git GitHub GitLab Grafana Jenkins Kubeflow Kubernetes LLMs Machine Learning Microservices MLFlow ML infrastructure NoSQL Open Source Pipelines PostgreSQL Privacy Security Terraform Testing Unstructured data

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus

Regions: Remote/Anywhere Asia/Pacific
Country: India

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