Devops Engineer

Sanas is revolutionizing the way we communicate with the world’s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Our initial deployment is laser-focused on elevating the standards of customer experience centers. Testimonials from our partners reveal staggering double-digit improvements in mission-critical KPIs, coupled with boosts in CSAT and NPS. More than just a tool, our technology champions a bias-free workspace. This not only fosters a positive work environment but has also been instrumental in reducing employee attrition and curbing training expenditures.

Sanas is a 100+ strong team, established in 2020. In this short span, we’ve successfully secured over $50 million in funding. Our innovation have been supported by the industry’s leading investors, including Insight Partners, Google Ventures, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you’re not just adopting a product; you’re investing in the future of communication.

Sanas is looking for an experienced machine learning operations engineer. We expect you to have a strong background in the practicalities of machine training and operations. You will be helping improve Sanas’s models and ML infrastructure. You will be responsible for running experiments about data and training. You will also be building libraries and implementing novel models in collaboration with data scientists.

Here's what you’ll be doing:

Good experience in Design, Implement and maintain Linux Systems

(RHEL/Centos/Ubuntu)Design, implement, and maintain CI/CD pipelines, with a primary focus on AWS services.

Good experience on AWS infrastructure Administration.

Good experience in Networking and security.

Good experience in Monitoring and Alerting systems.

Collaborate with development teams to automate and streamline deployment processes for machine learning models and data workflows.

Utilize AWS infrastructure as code tools (Terraform) to manage and provision resources efficiently.

Work closely with cross-functional teams to ensure scalability, reliability, and security of the infrastructure.

Troubleshoot and resolve issues in development, testing, and production environments.

Participate in on-call rotation and respond to incidents promptly to maintain system availability.

Experience in Docker and Kubernetes.

Python / bash scripting experience

Qualification

Bachelor's degree in Computer Science, Information Technology, or a related field.

3 - 6 years of industry experience

Primary skills in Ubuntu system administration.

Primary skills in Networking and Security.

Primary skills in AWS, with hands-on experience.

Primary skills in Monitoring and Alerting systems.

Secondary skills in Kubernetes, with experience in EKS.

Basic scripting languages such as Python, Bash, or PowerShell.

Experience with CI/CD tools like Jenkins, GitLab CI, or AWS CodePipeline.

Familiarity with containerization technologies (Docker) and container orchestration (Kubernetes).Understanding of infrastructure as code (IaC) concepts using tools like CloudFormation or Terraform.

Strong problem-solving skills and ability to troubleshoot complex issues.

Excellent communication and collaboration skills

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