What are the responsibilities and job description for the DevSecOps Engineer position at Motion Recruitment?
DevSecOps Platform Engineer
Location: Iselin, NJ (3 days onsite)
Employment: Long-term contract through March 2027
Level: Senior / Experienced
Overview
Seeking an experienced DevSecOps Platform Engineer to design, secure, and operate large-scale infrastructure supporting big data, analytics, AI/ML, and critical enterprise platforms. This role blends deep platform engineering, strong security practices, and automation skills to maintain a resilient, compliant, and high-performance environment.
You will work across containerized platforms, big data ecosystems, and cloud-native technologies, ensuring reliability, enforcing security standards, and driving automation across the stack.
Key Responsibilities Platform Engineering
Location: Iselin, NJ (3 days onsite)
Employment: Long-term contract through March 2027
Level: Senior / Experienced
Overview
Seeking an experienced DevSecOps Platform Engineer to design, secure, and operate large-scale infrastructure supporting big data, analytics, AI/ML, and critical enterprise platforms. This role blends deep platform engineering, strong security practices, and automation skills to maintain a resilient, compliant, and high-performance environment.
You will work across containerized platforms, big data ecosystems, and cloud-native technologies, ensuring reliability, enforcing security standards, and driving automation across the stack.
Key Responsibilities Platform Engineering
- Build, manage, and secure scalable, highly available infrastructure (Object Storage, OpenShift, Spark, Iceberg, Yunikorn, Trino).
- Detect and remediate configuration drift; enforce platform security policies.
- Configure and monitor Big Data components using BI/observability tools.
- Create automated regression/performance tests to maintain system stability.
- Handle cluster scaling, patching, and version upgrades.
- Run security assessments and apply operational guardrails.
- Implement OAuth, TLS/SSL, RBAC/ABAC models.
- Enforce data protection standards (encryption in transit/at rest).
- Validate compliance with IAM and regulatory frameworks (GDPR, HIPAA).
- Harden Kubernetes and containerized workloads.
- Monitor performance and system health across compute, storage, and data pipelines.
- Implement observability using Prometheus, Grafana, and enterprise tools.
- Work with operations teams on resiliency, HA, and disaster recovery.
- Build IaC automation with Helm, Terraform, Python, and shell scripts.
- Enable repeatable, secure provisioning for platform and application services.
- Integrate infrastructure changes into CI/CD processes with policy and compliance controls.
- Python, Bash/Shell, SQL
- Basic Java; Scala preferred for big data
- Strong scripting for automation and tooling
- Deep Linux expertise (systems, networking, tuning)
- Kubernetes, OpenShift, Helm, Terraform
- Experience operating workloads in large enterprise clusters
- Experience with Spark, Hadoop, Hive, Trino, Iceberg, NexusOne
- Nice to have: Airflow, NiFi
- Kafka/Flink for batch & streaming pipelines
- Object storage: S3, NetApp StorageGrid
- Familiarity with Parquet/Avro, ORC, JSON, CSV
- ML frameworks or LLM workflows
- MLflow, Kubeflow, SageMaker
- Understanding of feature engineering and model deployment pipelines
- RBAC/ABAC
- TLS/SSL, encryption, KMS
- GDPR/HIPAA awareness and IAM governance
- Microservices, event-driven systems
- Load balancing, caching, horizontal scaling
- HA, failover, DR, and monitoring architectures
- Extensive experience in DevSecOps, platform engineering, data infrastructure, or cloud-native roles
- Proven ability to operate distributed systems in regulated enterprise environments
- Strong cross-team communication and collaboration with security, data, and operations groups
- Skilled at troubleshooting, optimizing, and securing complex systems across compute, storage, and data layers