Overview
On Site
70/hr - 90/hr
Full Time
Skills
Management
Business Intelligence
Regression Analysis
Access Control
OAuth
Data Security
Grafana
Disaster Recovery
Shell
Provisioning
Continuous Integration
Continuous Delivery
Python
Bash
SQL
Java
Scala
Scripting
Linux
Computer Networking
Kubernetes
Terraform
Big Data
Data Engineering
Apache Spark
Apache Hadoop
Apache Hive
Apache NiFi
Apache Kafka
Apache Flink
Streaming
Amazon S3
NetApp
Apache Parquet
Apache Avro
JSON
Computerized System Validation
Artificial Intelligence
Machine Learning (ML)
Workflow
Amazon SageMaker
Regulatory Compliance
RBAC
TLS
SSL
Encryption
HIPAA
Microservices
Load Balancing
Caching
High Availability
Failover
DevSecOps
Cloud Computing
Communication
Collaboration
Storage
Job Details
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.