Nanonets
Location
Delhi | India
Job description
About Nanonets
Nanonets has a vision to help computers see the world starting with reading and understanding documents. Our product helps businesses automate document related workflows for back-office teams such as invoice data entry for AP teams, KYC automation for banks and insurance etc. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. What you'll do Serve as a key member of the DevOps team with a focus on security while managing the overall system health, performance, and capacity of nanonets internal and client facing systems. Contribute to automation of our CI/CD pipeline with the goal of one click deployments, rollbacks, and parameterized builds. Implement, configure, and upgrade cloud computer systems, servers, firewall, intrusion-detection and network infrastructure using security best practices and incorporating solutions to meet or exceed SOC2, ISO 27001, and other regulatory requirements. Accurately allocate costs through tagging infrastructure. Continuous monitoring of cloud cost and usage data to optimize the infrastructure usage to reduce costs. Skills Required Working knowledge with Kubernetes deployments, relevant docker related tools and managing infrastructure through Terraform or similar utilities. Experience in setting up complete CI/CD pipeline with Jenkins. Experience with AWS services - EKS, RDS, S3, EC2, Lambda, Cloudfront, ECR, IAM etc and some basic GCP services. Knowledge of setting up Monitoring, Alerting and logging tools similar to - Prometheus, ELK etc. Proficient in scripting in one or more programming Languages: Python, Bash etc. Strong fundamentals in implementation of security controls to meet regulatory requirements. Experience working on Linux based infrastructure Our Tech Stack Kubernetes for deployments Jenkins for CI/CD AWS - EKS, RDS, S3, EC2, Lambda, Cloudfront, ECR etc Cassandra DB and RDS Prometheus for Monitoring Golang for API and other microservices Python for Machine learning (Tensorflow, Pytorch) React for frontend ELK for loggingJob tags
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