Job Specifications
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.
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)
About the Company
Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software...
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