Senior DevOps Engineer with Knowledge Graph Platform

Arkhya Tech Inc.; Edina (MN); On-site; USD 120,000 - 160,000; Full time

Job summary

Arkhya Tech Inc. seeks a DevOps/Platform Engineer to run and scale our enterprise knowledge graph platform supporting healthcare analytics, interoperability and AI initiatives. You will collaborate with data engineering, architecture, clinical informatics and software teams.

You will install, configure, and maintain graph DB environments, automate CI/CD pipelines, and ensure disaster recovery, security and performance for mission-critical systems.

Qualifications

• Bachelor's degree in CS/IT/Engineering or Healthcare Informatics, or equivalent experience.
• 3+ years with knowledge graph or graph database platforms.
• 5+ years supporting enterprise databases, data platforms or DevOps environments.
• Strong Linux and command-line skills, plus Bash or Python scripting.
• Experience with mission-critical production systems.

Responsibilities

• Platform engineering: Install, configure, upgrade and maintain graph database environments. Containerize and deploy on AKS and Azure Container Apps using Helm and Kubernetes manifests.
• Automation: Build CI/CD pipelines and IaC (Terraform/Bicep). Script routine admin like database creation and SHACL deployment.
• Reliability and recovery: Own backup, restore, DR and business continuity with RPO/RTO planning.
• Performance and monitoring: Setup monitoring (Prometheus, Grafana, Azure Monitor) and tune SPARQL queries and large graph workloads.
• Security: Manage IAM, RBAC, SSO, secrets and network security with HIPAA-aligned controls.
• Integration: Connect graph platform to SQL Server, PostgreSQL, Databricks, cloud storage and APIs.
• Semantic model support: Deploy and validate healthcare ontologies (OWL/RDFS) with SHACL.
• Operations: Production support for mission-critical systems and root-cause analysis.

Skills

Knowledge graph

SPARQL

RDF/OWL

Shell scripting

Python scripting

Education

Bachelor's degree in CS/IT/Engineering or Healthcare Informatics

Tools

Kubernetes

Helm

Terraform

Bicep

Azure Monitor

Prometheus

Grafana

Azure Container Apps

Databricks

PostgreSQL

SQL Server

Job description

Looking for a DevOps / Platform Engineer with 3+ years of hands‑on experience running knowledge graph or graph database platforms (RDF triple stores or property graphs). You will operate, automate and scale the enterprise knowledge graph platform behind our healthcare analytics, interoperability and AI initiatives. You will work with data engineering, architecture, clinical informatics and software teams.

Mandatory skills

• Knowledge graph and ontology experience
• SPARQL (development and tuning)
• RDF, RDFS, OWL, SHACL

Desired skills

• Graph database administration (Stardog, GraphDB, Neptune, Neo4j, Jena or similar)
• Databricks, PostgreSQL and SQL Server
• Backup, recovery and DR
• Infrastructure‑as‑Code and CI/CD

Key responsibilities:

• Platform engineering: Install, configure, upgrade and maintain graph database environments across dev, test and prod. Containerize and deploy on AKS and Azure Container Apps using Helm and Kubernetes manifests.
• Automation: Build CI/CD pipelines and IaC (Terraform/Bicep). Script routine admin such as database creation, user and role setup, and ontology and SHACL shape deployment.
• Reliability and recovery: Own backup, restore, disaster recovery and business continuity. Define RPO/RTO targets, run recovery drills, and plan HA and failover.
• Performance and monitoring: Set up monitoring, ing and capacity planning (Prometheus, Grafana, Azure Monitor). Tune SPARQL queries, reasoning, indexing and large graph workloads.
• Security: Manage IAM, RBAC, SSO, secrets and network security, with HIPAA‑aligned controls.
• Integration: Connect the graph platform to SQL Server, PostgreSQL, Databricks, cloud storage and APIs. Support data virtualization and mappings.
• Semantic model support: Work with architects and data governance teams to deploy, version and validate healthcare ontologies (OWL/RDFS) with SHACL.
• Operations: Provide production support for mission‑critical systems, including troubleshooting and root‑cause analysis.

Required qualifications

• Bachelor's degree in CS, IT, Engineering or Healthcare Informatics, or equivalent experience.
• 3+ years with knowledge graph or graph database platforms.
• 5+ years supporting enterprise databases, data platforms or DevOps environments.
• Strong Linux and command‑line skills, plus Bash or Python scripting.
• Experience with mission‑critical production systems.