Responsibilities

• Design, develop and maintain the infrastructure for Gauss Lab’s products
• Design, develop, deploy and maintain a secure, reliable, robust, and scalable micro-services infrastructure for our AI products, which are deployed on the cloud as well as on-prem, with high availability and low latency
• Develop and maintain flexible CI/CD solutions that can be used to deploy our product on customer’s kubernetes clusters as well as on public cloud
• Architect the monitoring and observability infrastructure for the data and micro-services that make up our AI based products built on multi-modal data (e.g., sensor and image data).
• Take responsibility for end-to-end development with high standard on software design, coding, code reviews, tests and automation of deployment within CI/CD disciplines.
• Work closely with product/program managers to understand the product’s needs, business problems and domain.
• Work cross-functionally with various engineering and data science teams to identify and execute on devops and infrastructure challenges.

Key Qualifications

• BS/MS degree in Computer Science and Engineering or strong industry experience in software development.
• 5+ years of industry experience in building/deploying large scale production systems, software development and/or platform engineering.
• 3+ years experience in devops, SRE role or related.
• Startup spirit with the ability to be flexible and wear multiple hats.
• Experience in cluster management, APM tools and integrating monitoring and observability tools such as Prometheus, Grafana, ELK Stack, Kibana, Data Dog, New Relic.
• Experience in CI/CD frameworks such as Jenkins, Circle CI, Travis CI, Azure pipelines, Gitlab, Github Actions etc.
• Experience in configuring, launching and managing Kubernetes clusters and related tools for these such as like consul, istio.
• Experience in configuration management and orchestration tools as well as infrastructure as code tools for example Ansible, Chef, Puppet, Terraform, Cloudformation etc.
• Experience in at least one modern programming language such as Python, Java, Go, Rust.
• Development experience in a cloud service environment such as Amazon AWS, MS Azure, and Google Cloud Platform as well as on-prem kubernetes clusters in highly secure environments.
• Excellent verbal and written communication skills, able to collaborate cross-functionally
• Plus: Experience with testing frameworks and automation.