DevSecOps Engineer

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 • 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. Security & Access Control • 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. Monitoring & Observability • 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. Automation, CI/CD & DevSecOps • 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. Required Technical Skills Programming & Scripting • Python, Bash/Shell, SQL • Basic Java; Scala preferred for big data • Strong scripting for automation and tooling OS, Containers & Infrastructure • Deep Linux expertise (systems, networking, tuning) • Kubernetes, OpenShift, Helm, Terraform • Experience operating workloads in large enterprise clusters Big Data & Data Engineering • 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 AI/ML • ML frameworks or LLM workflows • MLflow, Kubeflow, SageMaker • Understanding of feature engineering and model deployment pipelines Security & Compliance • RBAC/ABAC • TLS/SSL, encryption, KMS • GDPR/HIPAA awareness and IAM governance Architecture (Good to have) • Microservices, event-driven systems • Load balancing, caching, horizontal scaling • HA, failover, DR, and monitoring architectures Qualifications • 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 Posted By: Jon Szynalski