Raft Senior Engineer at Raft owning secure delivery patterns for Kubernetes-based platform architecture. Responsible for designing and improving CI/CD workflows, automating compliance, and mentoring engineers.
Responsibilities
Raft builds mission-critical data, AI, and operational platforms that process high-volume sensor, operational, and mission data across multiple classification levels. These platforms must run reliably in cloud-hosted, classified on-premises, disconnected, and edge environments where security, repeatability, and customer trust are non-negotiable.
As a Senior Engineer, you will own the secure delivery patterns behind [R]DP, [R]AP, [R]AIMS, and Raft’s MLOps deployments. You will design and harden Kubernetes-based platform architecture, improve GitOps and CI/CD workflows, automate compliance evidence, mentor engineers, and work directly with software, data, ML, security, and customer teams to keep mission systems deployable and trustworthy.
This role requires more than infrastructure fluency. You should be comfortable reading application code, understanding data pipelines, debugging distributed systems, navigating regulated delivery constraints, and making pragmatic tradeoffs between security, delivery speed, operability, and mission urgency. You will shape the golden paths that teams use to deliver secure mission software: Helm and GitOps patterns, hardened runtime configuration, supply chain controls, observability, compliance automation, ML serving, and deployment practices across cloud and classified environments.
Design, implement, and continuously improve secure Kubernetes platform patterns for cloud, on-premises, disconnected, classified, and edge deployments
Own CI/CD and GitOps delivery architecture using GitHub Workflows, GitLab CI, Argo CD, Flux, Helm, Kustomize, and repository-managed configuration across multiple environments and classification levels
Lead DevSecOps practices including secure baselines, container hardening, SBOM generation, image signing, vulnerability management, dependency risk reduction, admission policy, secrets hygiene, and compliance-aware deployment gates
Develop and maintain Infrastructure as Code with Terraform, Ansible, Helm, and supporting automation to make platform provisioning, upgrades, rollback, and environment promotion repeatable
Partner with software, data, and ML engineers to understand service architecture, pipeline behavior, model-serving requirements, runtime dependencies, and production failure modes
Support and optimize data-intensive and MLOps workloads using technologies such as Kafka, Flink, Pinot, KServe, Kubeflow, Ray, GPU-enabled nodes, and model-serving pipelines
Build and refine observability patterns using Prometheus, Grafana, Fluent Bit, Loki, Kibana, OpenTelemetry, Jaeger, Tempo, and alerting workflows that help teams diagnose issues quickly
Debug complex Kubernetes, Helm, service mesh, Istio, networking, storage, identity, and runtime issues across multi-cluster and multi-environment topologies
Automate compliance evidence and improve deployment practices aligned with RMF, STIGs, FedRAMP, NIST 800-53, IL4/IL5/IL6, and customer-specific security controls
