Role Description
We are seeking a Platform Engineer with a strong interest in DevSecOps practices, cloud-native platforms, containerization, and graph databases. This role is ideal for an engineer who is eager to learn, proactive in solving problems, and motivated to grow into a technical leader while contributing to the reliability, security, and scalability of our platform ecosystem. This Platform Engineer will work closely with development, security, and operations teams to support CI/CD pipelines, infrastructure automation, container platforms, and an internal LLM-enabled application built for Neo4j, while helping to establish and follow platform best practices.
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Design, implement, and maintain CI/CD pipelines using modern DevSecOps practices, including Git-based workflows, artifact management, security controls integration, and containerized workloads (Docker/Kubernetes).
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Develop automation solutions using scripting languages or AI platforms to automate operational tasks to improve platform reliability and efficiency.
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Provide platform and DevOps support for a graph database application, including deployments, upgrades, configuration management, and environment maintenance.
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Troubleshoot infrastructure issues across storage, networking, load balancers, firewalls, and security groups, analyzing logs and metrics to identify root causes and recommend solutions.
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Document platform best practices, promote operational standards, and support incident response and problem resolution efforts.
Qualifications
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3-4 years of experience in Platform engineering, DevOps, SRE, or system administration.
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Experience building, deploying, maintaining, and scaling Neo4j and related applications.
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Experience with Application Performance Monitoring (APM) systems, such as AppDynamics.
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Experience integrating with observability and monitoring/logging tools, such as Splunk.
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Must know containers, k8s, and Helm.
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Exposure to Kubernetes distributions; prefer RKE experience, but similar experience with other distributions such as OpenShift acceptable.
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Experience with Azure DevOps pipelines and deployments or similar (Jenkins, GitLab).
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General cloud knowledge required, GCP experience preferred.
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Understand the Container Storage Interface and implemented applications, preferably Portworx CSI (PX-CSI).
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Basic understanding of networking concepts (TCP/IP, DNS, routing, firewalls) and load balancing (application and network).
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Strong troubleshooting and analytical skills.
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Exposure to API gateways and API management platforms.
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Understanding of security fundamentals (certificates, TLS, secrets management).
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Eager to learn and grow technically in a fast-paced environment.
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Proactive and self-motivated, willing to take ownership of problems.
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Strong communication skills and ability to collaborate across teams.
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Interest in building reliable, secure, and scalable platforms.