Paramo Technologies is hiring a DataOps Platform Engineer focused on platform enablement. In this role, you will operate, automate, and evolve our data platform across distributed systems, observability, infrastructure-as-code, and hybrid environments (on-prem + Azure). Your work will ensure stability, scalability, and reliability for teams building on top of the platform.

What You'll Do

Operate and maintain core platform services: Spark, Flink, Airflow, OpenMetadata, and supporting components.
Support and optimize internal analytical engines such as StarRocks, and assist in the rollout of technologies like Neo4j.
Operate hybrid infrastructure: on-prem (VMware vSphere) + Azure (networking, identity, managed services, private connectivity patterns).
Enable platform connectivity and operational readiness for data warehouse / analytics ecosystems: authentication/access patterns, runtime integration, operational monitoring.
Implement and maintain Infrastructure as Code using Terraform.
Automate configuration and deployments using Ansible.
Maintain GitOps workflows using ArgoCD.
Manage CI/CD pipelines for platform components via Jenkins.
Maintain and improve the observability stack: Logging (Fluent Bit + Graylog), Metrics/alerts/dashboards (New Relic / Grafana).
Support Splunk usage including platform-side onboarding and operational administration tasks.
Drive platform reliability through incident response, RCA, and lifecycle operations (upgrades, patches, feature enablement), working in an Agile/Kanban delivery model.
Produce and maintain high-quality documentation: runbooks, operational guides, onboarding docs, and service ownership standards.

What We're Looking For

Strong experience (+5 years) operating distributed systems or data platform components (Spark/Flink/Airflow).
Practical experience operating cloud/hybrid environments, including Azure services used in data platforms (networking/connectivity, identity, managed services).
Solid Linux, networking, troubleshooting, and automation skills.
Hands-on experience with Terraform and Ansible.
Practical experience with GitOps (ideally ArgoCD).
Experience with CI/CD (preferably Jenkins).
Hands-on familiarity with observability fundamentals: logs, metrics, alerts (Fluent Bit, Graylog, New Relic, Grafana).
Strong operational ownership: incident handling, problem management, and continuous improvement (SLIs/SLOs, alert quality, capacity).
Upper-intermediate English.
On-Call availability.

Nice to Have

Experience with analytical databases / distributed engines (StarRocks, ClickHouse, Druid, etc.).
Interest or exposure to graph databases (Neo4j).
Familiarity with developer-platform enablement tools such as Backstage (or similar).
Exposure to Azure ML Studio or adjacent ML platform tooling (enablement/ops perspective).