The DevOps Engineer will develop SaaS products, support data projects, manage cloud services, and automate deployments using CI/CD practices.
Company Description
Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today’s world of change and disruption, optimism is a force multiplier.
Job DescriptionSia is looking for a DevOps Engineer to support the development of the Data Science Business Line in our new office in Mumbai.
Your main responsibilities will include:
- Participation in our consulting assignments with our clients
- Development of our Software-as-a-Service products from Heka.ai
- Support to Data Scientists, Data Engineers and Software Engineers in projects with a strong Data component:
- Cloud services: architecture, storage & computing services, costs monitoring & optimization, access level management
- Containers: containerization & orchestration of applications, K8 cluster management adapted to data workloads
- Python programming: development of tools executed on the server (automation scripts, microservices, etc.)
- CI/CD: integration and continuous deployment of applications
- Contribution to technological, architectural and governance choices to address the challenges of scaling Data projects
- Engineering background with 4+ years of relevant experience in DevOps Engineering
- Mastery of Python, for back-end projects – another programming language is a plus
- Mastery of a containerization solution such as Docker, and at least one container orchestration tool
- Experience with the services of a cloud provider (AWS, GCP or Azure)
- Knowledge of Infrastructure-as-Code tools as Terraform is a plus
- Mastery of CI/CD techniques and tools (pipeline automation, Docker, Kubernetes...)
- Fluency in English (written + oral)
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.
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