Overview
Skills
Job Details
Job Title: Platform Engineer
Location: Iselin, NJ, or Charlotte, NC
Duration: 2 years
Brand new project, building out new platform
Top 3 requirements:
- 7+ years of experience working as a Platform Engineer within the security space and has a strong understanding of the layers of systems and full lifecycle of security operations
- Experience working with RBAC and ABAC (role/asset based access control)
- Strong monitoring tool experience (ex. Grafana, splunk, datadog) and scripting experience (python, bash, shel, java etc)
- Kubernetes and Cyber security experience
JOB DESCRIPTION:
Platform Engineer / SRE (Security-Focused)
Primary Role: Maintain secure, scalable infrastructure and services.
Responsibilities:
- Manage container orchestration and cloud security.
- Monitor for configuration drift and enforce infrastructure policies.
- Support high availability and secure deployment and operation practices.
Tasks:
- Implement infrastructure-as-code with security controls.
- Monitor system health and enforce runtime policies.
- Collaborate with stakeholders on secure service mesh, events, and API gateways.
Programming & Scripting
- Languages: Python, Bash, Shell, SQL, Java (basic), Scala (for big data, good to have)
- Paradigms: Object-Oriented Programming (OOP), Functional Programming
- Automation & Scripting: Python scripting for automation, Linux shell scripting
Operating Systems & Containers
- System programing, performance tuning, networking
- OCP, Kubernetes (K8s), Helm, Terraform, container orchestration and deployment
Big Data & Data Engineering
- Frameworks: Apache Spark, Hadoop, Hive, Presto (nice to have)
- ETL Tools: Apache Airflow, NiFi (good to have)
- Data Pipelines: Batch and streaming (Kafka, Flink)
- Object Storage: S3, Azure Blob Storage, MinIO
- Data Formats: Parquet/Avro, ORC, JSON, CSV
AI/ML & MTC (Model Training & Consumption) (Nice to have)
- Frameworks or LLM modeling
- Model Ops: MLflow, Kubeflow, SageMaker
- Data Science: Feature engineering, model deployment, inference pipelines
Security & Access Control
- Access Models: RBAC (Role-Based Access Control), ABAC (Attribute-Based Access Control)
- Data Protection: Encryption at rest and in transit, TLS/SSL, KMS (Key Management Services)
- Compliance: GDPR, HIPAA (if applicable), IAM policies
System Design & Architecture (good to have, at least at a conceptual level)
- Design Principles: Microservices, Event-driven architecture, Serverless
- Scalability: Load balancing, caching (Redis, Memcached), horizontal scaling
- High Availability: Failover strategies, disaster recovery, monitoring (Prometheus, Grafana
Thanks,
Sai Kumar
Technical Recruiter
Cerebra Consulting Inc, 270 Lancaster Ave, Suite D2, Malvern, PA 19355
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