IKS Health

Description :

About IKS Health :

IKS Health enables the enhanced delivery of exceptional healthcare for todays practicing clinicians, medical groups and health systems. Supporting healthcare providers through every function of the patient visit, IKS Health is a go-to resource for organizations looking to effectively scale, improve quality and achieve cost savings through integrated technology and forward-thinking solutions. Founded in 2007, we have grown a global workforce of 14,000 employees serving over 150,000 clinicians in many of the largest hospitals, health systems, and specialty groups in the United States. IKS Health revitalizes the clinician-patient relationship while empowering healthcare organizations to thrive. We take on the chores of healthcare spanning administrative, clinical, and operational burdens so that clinicians can focus on their core purpose : delivering great care. Combining pragmatic technology and dedicated experts, our solutions enable stronger, financially sustainable enterprises. By bringing joy and purpose back to medicine, were creating transformative value in healthcare and empowering clinicians to build healthier communities.

About the Role :

We are seeking a highly experienced and hands-on DevOps Subject Matter Expert (SME) with deep specialization in Google Cloud Platform (GCP) and a proven track record in designing and implementing CI/CD pipelines, cloud-native architectures, MLOps frameworks, and DevSecOps practices. The ideal candidate will bring a strong foundation in cloud infrastructure, container orchestration, automation, and secure software delivery, playing a strategic and technical leadership role across projects.

Key Responsibilities :

- Design, implement, and optimize CI/CD pipelines using tools like Cloud Build, GitHub Actions, Jenkins, ArgoCD, Spinnaker, etc.

- Define and maintain cloud deployment architectures on GCP, ensuring scalability, availability, and security.

- Lead MLOps practices by integrating model development, testing, deployment, and monitoring using Vertex AI, Kubeflow, MLflow, etc.

- Implement DevSecOps best practices, including IaC security scanning, secrets management, container image scanning, and policy enforcement.

- Architect and manage DataOps pipelines for data ingestion, transformation, and validation across environments.

- Drive containerization efforts using Docker, Kubernetes (GKE), Helm, and service mesh technologies (Istio, Linkerd).

- Implement infrastructure as code (IaC) using Terraform, Deployment Manager, or Pulumi.

- Collaborate with development, data science, and QA teams to ensure seamless integration of DevOps processes throughout the SDLC.

- Monitor system performance, cost optimization, and operational SLAs using GCP- native tools (Cloud Monitoring, Cloud Logging) and third-party observability tools (Datadog, Prometheus, Grafana).

- Guide the adoption of GitOps, automated testing, release management, and rollback strategies in fast-paced cloud-native environments.

Required Qualifications :

years of experience in DevOps, Cloud Engineering, or related fields.

- Deep hands-on experience with Google Cloud Platform (GKE, Cloud Run, Cloud Build, IAM, VPC, Cloud Storage, Pub/Sub, BigQuery).

- Expertise in CI/CD pipeline design and maintenance for both application and ML workflows.

- Strong experience with Docker and Kubernetes, preferably GKE.

- Solid understanding of MLOps practices and tools (Kubeflow, Vertex AI, MLflow).

- Working knowledge of DevSecOps tools and practices : static/dynamic analysis, security scanning, secret management (e.g., HashiCorp Vault, GCP Secret Manager).

- Experience with DataOps frameworks and orchestration tools (e.g., Airflow, dbt, Dataflow, Cloud Composer).

- Proficient in IaC tools (Terraform, Ansible, Deployment Manager).

- Familiar with GitOps and tools like ArgoCD, FluxCD.

- Strong scripting and automation skills (Python, Bash, YAML).

- Deep understanding of modern software development lifecycles and cloud-native design patterns.

Preferred Qualifications :

- GCP Certifications (e.g., Professional Cloud DevOps Engineer, Professional Cloud Architect).

- Experience with hybrid cloud or multi-cloud environments.

- Knowledge of service mesh and API gateways (e.g., Istio, Envoy).

- Experience with cost optimization, cloud budgeting, and FinOps strategies.

- Familiarity with compliance frameworks like HIPAA, SOC 2, or ISO 27001.