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Cloud Security Engineer
Cloud Security EngineerMotion Recruitment • Charlotte, NC, United States
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Cloud Security Engineer

Cloud Security Engineer

Motion Recruitment • Charlotte, NC, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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

  • Maintain secure and scalable infrastructure and services.
  • Manage container orchestration and cloud security.
  • Monitor for configuration drift and enforce infrastructure policies.
  • Support high availability and secure deployment and operations practices.
  • 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.

    • Qualifications

  • Experience maintaining scalable and secure infrastructure.
  • Background in container orchestration and cloud security.
  • Ability to identify and remediate configuration drift.
  • Knowledge of high availability and secure deployment practices.
  • Hands-on experience with infrastructure-as-code and security controls.
  • Ability to monitor system health and enforce runtime policies.
  • Experience collaborating with stakeholders on secure service mesh, events, and API gateways.

    • 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)
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