Data Science AI Engineer, Professional 1

Summary
As a DevOps Engineer/ Sr. Engineer at Gainwell, you will be working with THE AI team to deploy the AI based solutions in large scale deployment environment. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare 's biggest challenges. Here are the details on this position.
Your role in our mission
:Cloud and Infrastructure Management: Architect, implement, and oversee cloud services, including Virtual Machines, Active Directory, Virtual Networks, Object Storage, Functions, Databases, Service Bus, and Monitor.
:Infrastructure as Code (IaC): Design, develop, standardize, and maintain secure, repeatable infrastructure deployments using Terraform, CloudFormation, ARM Templates, Deployment Manager.
:Containerization and Orchestration: Lead the design, management, and scaling of container infrastructures (AWS ECS, EKS, GKE), Kubernetes clusters, and node pools.
:Microservices Deployment: Create, maintain, and optimize deployment manifests for microservices using Helm.
:Service Mesh Implementation: Deploy and manage service mesh technologies like Istio for gateways, virtual services, traffic routing, and fault injection.
:System and Network Configuration: Configure, monitor, and optimize DNS, application servers, load balancers, and firewalls to efficiently handle high:volume traffic.
:Monitoring and Observability: Establish and maintain robust monitoring, logging, and observability solutions using tools such as Prometheus, Grafana, Datadog, Splunk, Jaeger, Kiali, CloudTrail, Open Telemetry, Dynatrace, and Elastic Stack.
:Continuous Integration and Deployment (CI/CD): Develop and maintain advanced CI/CD pipelines with Git and CI/CD platforms (Jenkins, GitLab, CircleCI, Bamboo, Travis CI, Azure DevOps, GitHub Actions).
:Automation and Scripting: Automate build, test, and deployment processes using scripting languages such as Java, Python, Shell, or PowerShell.
:DevSecOps Practices: Integrate comprehensive security measures into CI/CD pipelines, enforce quality gates and vulnerability scans, and manage artifact repositories (Nexus, JFrog Artifactory).
:Incident Management and Troubleshooting: Rapidly troubleshoot and resolve infrastructure, containerization, and deployment issues.
:Performance and Optimization: Continuously monitor, evaluate, and optimize infrastructure performance, cost:efficiency, reliability, and scalability.
:Disaster Recovery and Incident Response: Lead the development and oversight of disaster recovery strategies, incident response procedures, and high:availability solutions.
What were looking for
:Bachelor 's or master 's degree in computer science, Information Systems, or a related discipline.
:2:14 years of proven experience in DevOps, Site Reliability Engineering, or related technical roles with significant experience in healthcare or regulated industries.
:Expert:level proficiency in AWS, Azure, or Google Cloud Platform.
:Extensive hands:on experience architecting and managing CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions).
:Deep expertise in Infrastructure as Code (Terraform, Pulumi, CloudFormation).
:Advanced knowledge of containerization and orchestration platforms (Docker, Kubernetes).
:Strong scripting skills in Python, Bash, or PowerShell for automation.
:In:depth experience in configuration management (Ansible, Chef, Puppet).
:Extensive familiarity with monitoring, logging, and observability tools (Prometheus, Grafana, Datadog, Splunk, ELK Stack).
:Comprehensive understanding of security principles, vulnerability management, and compliance standards applicable to healthcare technology.
What you should expect in this role
:Fully Remote Opportunity : Work from anywhere in India
:Opportunity to Work on Cutting:Edge Solutions in a mission:driven healthcare technology environment.
LI:DNI

Job Type: Permanent