DevSecOps Platform Engineer

Join to apply for the Dev Sec Ops  Platform Engineer role at Motion Recruitment

Our client is seeking a highly skilled Dev Sec Ops  Platform Engineer to build, secure, and operate large-scale, mission-critical infrastructure supporting big data, analytics, AI/ML, and core business platforms. This role combines deep platform engineering expertise with strong security, automation, and observability capabilities to ensure the environment remains resilient, compliant, and optimized for performance.

You will work across containerized environments, big data ecosystems, and cloud-native technologies to deliver reliable services while enforcing security policies, preventing configuration drift, and enabling automation across the platform.

• Build, maintain, and secure highly available, scalable infrastructure supporting technologies such as Object Storage, Open Shift, Spark, Iceberg, Yunikorn, and Trino.
• Monitor and remediate configuration drift; enforce platform and infrastructure security policies.
• Configure and monitor Big Data ecosystem components using BI tools and observability platforms.
• Develop automated regression and performance test suites to validate platform health and stability.
• Perform routine maintenance including cluster scaling, patching, and version upgrades.
• Conduct regular security audits and enforce runtime policies and operational guardrails.
• Implement and manage OAuth authentication, TLS/SSL encryption, and RBAC/ABAC access models.
• Ensure strong data protection standards, including encryption at rest and in transit.
• Validate compliance with enterprise IAM requirements and regulatory frameworks such as GDPR and HIPAA where applicable.
• Harden containerized workloads and secure configurations across Kubernetes and all supporting components.
• Monitor system health, performance, and events across compute, storage, and data pipeline layers.
• Implement observability across big data, Kubernetes, and platform services using tools such as Prometheus, Grafana, and other enterprise-supported technologies.
• Partner with operations teams to ensure resiliency, high availability, and disaster recovery practices are tested and maintained.
• Build automated IaC pipelines using Helm, Terraform, Python, and Linux shell scripting.
• Enable secure, repeatable provisioning for platform components and application services.
• Integrate infrastructure changes into CI/CD workflows to enforce policy, quality, and compliance standards.

• Programming & Scripting:
  Python, Bash, Shell, SQL; basic Java experience;
  Scala is a plus for big data environments.
• Operating Systems & Containers:
  Deep knowledge of Linux, system programming, performance tuning, networking; expertise with Kubernetes, Open Shift (OCP), Helm charts, Terraform, and container orchestration.
• Big Data & Data Engineering:
  Apache Spark, Hadoop, Hive, Trino, Iceberg, Nexus One; ETL tools such as Airflow or NiFi (nice to have); batch and streaming pipelines using Kafka, Flink; object storage systems (S3, Net App Storage Grid).
• Security & Compliance:
  Strong understanding of data formats (Parquet/Avro, ORC, JSON, CSV); familiarity with MLflow, Kubeflow, Sage Maker; RBAC and ABAC access models; encryption standards, TLS/SSL, KMS solutions; compliance frameworks such as GDPR, HIPAA; microservices and event-driven design principles; caching, load balancing, horizontal scaling; high availability, failover, disaster recovery, and monitoring architecture.

• Significant hands‑on experience in Dev Sec Ops , Platform Engineering, Data Infrastructure, or Cloud‑Native Engineering roles.
• Expertise operating large‑scale, distributed systems in regulated enterprise environments.
• Strong cross‑functional communication skills and the ability to collaborate with security, data engineering, and operations teams.
• Ability to troubleshoot, optimize, and secure complex systems across compute, storage, and data layers.