12 дней назад
Lead DevOps Engineer/Senior Lead DevOps Engineer (AI Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead DevOps Engineer/Senior Lead DevOps Engineer (AI Platform): Designing and operating highly available, scalable multi-tenant cloud platforms and automation solutions with an accent on DevOps, GitOps, cloud-native services, and distributed systems. Focus on building deployment automation with ArgoCD and Crossplane, implementing infrastructure across Azure, AWS, or GCP, and improving observability, resilience, and operational efficiency.
Location: Colombo, Western Province, Sri Lanka; hybrid work opportunities are available.
Company
develops AI-enabled enterprise software solutions and operates as a global company with more than 7,000 employees.
What you will do
- Design, develop, deploy, and maintain platform capabilities, cloud-native services, and automation solutions.
- Implement GitOps and DevOps automation for the shared multi-tenant cloud platform, supporting application deployments and rollouts.
- Identify opportunities for new automations and create designs and implementation plans.
- Maintain and expand existing automations and related processes.
- Collaborate with development teams, architects, stakeholders, and colleagues while creating documentation, presentations, and training materials.
- Contribute to market research and competitive analysis.
Requirements
- 4–8 years of enterprise-level experience building globally deployed, highly available, and scalable multi-tenant cloud systems.
- Experience designing and building DevOps/GitOps automation with tools such as ArgoCD and Crossplane or equivalents.
- Experience with CI/CD, Kubernetes, Helm, Terraform, Ansible, Docker, and scripting in Bash, PowerShell, Python, or Go.
- Experience with cloud infrastructure in Azure, specifically AKS, or in AWS/GCP; Azure experience with networking, firewalls, Front Door, Container Registry, Managed Identities, Storage, and AI Services is relevant.
- 5+ years of experience with Linux, Unix, or Windows, plus knowledge of databases, application and web tiers, networking, proxies, and firewalls.
- Knowledge of service architecture, solution design, distributed systems, API integration, observability, messaging, MongoDB Atlas, and Confluent Kafka; a university degree or equivalent professional qualification in software or systems engineering is essential.
Culture & Benefits
- Flexible and hybrid work opportunities support different needs and lifestyles.
- Inclusive workplace experiences encourage collaboration, knowledge sharing, and belonging.
- Work takes place in a diverse, global environment focused on innovation, sustainability, and positive impact.
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