DevOps Engineer
SGNL- Full Time
- Junior (1 to 2 years)
Candidates should have experience in designing, developing, and deploying Multi-tenant SaaS solutions on public cloud platforms such as AWS, Azure, or GCP. Proficiency in using tools like Kubernetes, Helm, Terraform, and Ansible is required, along with scripting skills in Shell and Python. Experience with CI/CD pipelines, particularly using GitHub Actions and Cloud Build tools, is also essential. A background in ML/OPs is considered a plus.
The DevOps Engineer will partner with product teams to architect and build foundational infrastructure for products. They will exhibit agility in technology decision-making and adaptability in work methodologies. The role involves designing and deploying scalable solutions, driving automation of infrastructure tasks, and collaborating with the software development team to refine CI/CD pipelines and improve developer experience.
Develops enterprise AI solutions for workforce efficiency
Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.