Awiros - Software Development Engineer - DevOps

4 weeks ago

GurgaonGurugram, IN Awiros Full time

About Awiros :

Incorporated in 2015, Awiros is making it possible for everyone to build as well as utilize the most advanced applications of Computer Vision and AI in their everyday lives using its app-oriented open and unified Operating System model. With a stellar team of researchers and engineers, our constant endeavor is to push the boundaries of technology while delivering great value to our customers.

Our mission is to bring the power of Computer Vision to everyone, right from developers to end users. Awiros is the conduit to bring the most cutting-edge research in the areas of Computer Vision, Deep Learning and Artificial Intelligence to the market.

Overview :

Awiros is a complex technology platform with a highly dynamic development, deployment and troubleshooting approach. The core engineering of Awiros includes real-time deep-learning based video/image inference, distributed processing, high-throughput data handling, and state-of-the-art tools/frameworks like Deep Learning, Computer Vision, TensorFlow, Kubernetes, Kafka and Elastic Search.

We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. DevOps Engineer responsibilities include deploying product updates, identifying production issues and implementing integrations that meet customer needs. If you have a solid background in software engineering and are familiar with Ruby or Python, we'd like to meet you.

Ultimately, you will execute and automate operational processes fast, accurately and securely.

Duties and Responsibilities :

- 3-6 years of hands-on experience in implementing end-to-end DevOps, preferably with any of the public cloud provider such as AWS and Azure

- Setting up a CI/CD/CT Pipelines to speed up software development and deployment process

- Integrating tool chains into the CI/CD server using webhooks/API's

- Strong hands-on experience in creating/maintaining containers using Dockers

- Strong hands-on experience in creating Kubernetes cluster, Maintaining pods, nodes, and replica sets, scaling, performing health checks, and working with Kubernetes API server, etc., Control Plane

- Strong experience in troubleshooting K8S hosted applications, logs, capacity planning, config maps, secrets, etc.

- Strong hands-on experience in DevOps CI/CD tool chain, especially using GitLab

- Strong working experience/expertise in Infrastructure as code and Infrastructure Automation using any of the tools such as Ansible, Terraform, and AWS CloudFormation

- Strong hands-on working experience with configuration management tools such as Chef and Puppet

- Strong experience in Migrating source code between different tools, such as between bitbucket GitLab, etc.

- Strong hands-on experience on Multi-cloud DevOps implementation and experience on Application Development (On-prem & Cloud native)

- Leveraging AWS services as needed to help with automation and hosting solutions such as KMS, Secrets Manager, Lambda/Faregate, Elasticsearch, etc.

- Help create requirements and procedures for implementing routine maintenance.

- Troubleshooting existing information systems for errors and resolving those errors.

- Solid understanding of SaaS and multi-tenancy application design.

- Good to have AWS Certified DevOps Engineer (Professional) or similar certification (Not mandatory)

- Experience of monitoring tools

- Experience in managing ELK setup and dashboards Experience in implementing and maintaining enterprise grade distributed systems & serverless architectures.

- Experience in designing, building and maintaining cloud-native applications on AWS, which includes working with services like EC2, ELB, RDS and S3.

- Knowledge and hands on working experience in one or more of the following areas required: AWS Cloud Services, Azure Cloud Services, AI, Analytics, full stack engineering practices, platforms, and open APIs.

(ref:hirist.tech)

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