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 & 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 & Network Configuration: Configure, monitor, and optimize DNS, application servers, load balancers, and firewalls to efficiently handle high-volume traffic.
• Monitoring & 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 & 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 & 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 & Troubleshooting: Rapidly troubleshoot and resolve infrastructure, containerization, and deployment issues.
• Performance & Optimization: Continuously monitor, evaluate, and optimize infrastructure performance, cost-efficiency, reliability, and scalability.
• Disaster Recovery & Incident Response: Lead the development and oversight of disaster recovery strategies, incident response procedures, and high-availability solutions.

What we're 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. 

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