Top Tech Jobs & Startup Jobs

Monitor and analyze cyber threats, alerts, and incidents in Tier 1 and Tier 2 SOC operations. Perform malware analysis, network forensics, deep packet inspection, threat hunting, incident response, remediation, and recovery. Develop detection content, improve SOC playbooks and processes, produce threat reports, and coordinate escalations with cyber teams and stakeholders supporting critical federal networks.

Provide hands-on architecture and operational guidance for secure, scalable data, analytics, and AI/ML solutions in Databricks and Palantir Foundry. Establish standards, reusable architectures, CI/CD and MLOps practices, governance, data quality, monitoring, and production-support processes. Guide pipelines, data products, integrations, ML inference, performance optimization, and platform operations while collaborating with engineering, data science, analytics, security, and mission stakeholders in DoD environments.

Designs and deploys scalable data pipelines, preprocessing workflows, feature-engineering services, and machine learning models for secure DoD environments. The role supports structured and unstructured mission data, exploratory analysis, visualization, model inference APIs, reproducible MLOps workflows, and decision-support capabilities. Responsibilities include collaborating with product, software, platform, DevSecOps, data science, and mission teams; deploying containerized services; participating in Agile delivery; and maintaining technical documentation.

Provide Tier II and Tier III IT support, manage incident resolution, and ensure exceptional user experiences in a classified environment.

Design, optimize, and deploy ML and LLM capabilities for resource-constrained heterogeneous edge platforms. Build efficient inference pipelines, RAG/semantic search, distributed inference orchestration, model optimization (quantization/pruning/distillation), monitoring, evaluation, and AI governance. Integrate models into production software, support multimodal and sensor analytics experiments, document results, and assist with customer demonstrations and prototypes.

Own positioning and messaging for exposure management; translate technical findings into buyer-facing content; lead flagship research and PR; run integrated demand and account-based campaigns; enable sales with decks, battlecards, and training; build case studies and gather win/loss insights to inform product and go-to-market.

The Senior Product Engineer will own the user-facing experience, building user interfaces and product features for clinical workflows primarily using Next.js, React, and TypeScript, while collaborating closely with various stakeholders.

As a Senior DevOps Specialist, you will enhance infrastructure, oversee CI/CD systems, ensure security compliance, and implement AI tools to streamline DevOps processes.

The role involves defining quality standards, integrating testing with development processes, and implementing AI tools for automation in QA. It requires collaboration with engineering teams and maintaining quality assurance practices aligned with security standards.

Build and maintain record-matching and text-analytics components for an AI-native analytics platform. Implement NLP and linguistics ideas into production code, optimize search internals (Elasticsearch), collaborate in agile sprints, and help design scalable APIs and architectures under senior engineering guidance.