Cloud Security Engineer (Charlotte)

We are looking for a Security-Focused Platform Engineer / Site Reliability Engineer to maintain secure, scalable infrastructure and services. This role is responsible for ensuring operational reliability while embedding security into all aspects of infrastructure and platform engineering.

• W2 position - No C2C at this time

Key Responsibilities

Qualifications

Programming & Scripting Used

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 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)