Your role will be to monitor & improve our platforms in cloud environments by leveraging DevOps processes to manage the end-to-end application lifecycle. Design, architect, and implement application deployment services for applications developed.
Work with key customers to enable secure integrations of our platform into their enterprise or cloud environment. Create requirements and, design specifications, and participate in code reviews. Work closely with cross-functional developers, QEs, and application engineers
Minimum 3 years consistent track record as a Cloud DevOps Engineer.
Very strong experience on AWS (required with at least one Certification) should have sound knowledge in services EC2, IAM, VPC, RDS, Auto-scaling, Load balancing, Lambda, Fargate.
Experience with Kubernetes & Docker is a must.
Good knowledge of programming in either Python or Java.
Should also have vast knowledge in CI-CD tools such as Jenkins.
Strong DevOps, Data Engineering and ML background with AWS Experience with one or more ML Ops tools
Would help if there is additional expertise in python automation/airflow/application workflow deployment, maintenance, and debugger.
Sound knowledge in alert and monitoring tools like Prometheus &Graphana.
Solid experience in maintaining production infrastructure.
Strong understanding of Networking and troubleshooting (TCP/IP, DNS, routing, switching, firewalls, LAN/WAN)
System Administration experience with Linux
Problem-solving skills with a solid understanding of fault logging, tracking,
A single AI based platform to identify emerging issues, and help you reduce your customer contacts and costs.