Top Engineering Jobs

Design, build, and maintain large-scale, fault-tolerant cloud data protection services for SaaS applications. Develop backup and recovery systems, APIs, administrative UIs, monitoring, automation, and build infrastructure. Troubleshoot scalability, stability, and critical production issues; collaborate with product and customer-facing teams; lead projects, conduct code reviews, and mentor junior engineers.

Build and operate production software for active clinical trials, including clinical-system integrations, trial data flows, site activation, monitoring, and signal detection. Design AI-native agents and pipelines with auditability, provenance tracking, and human review in regulated GxP environments. Own multi-quarter technical initiatives, collaborate with clinical, regulatory, QA, data, and infrastructure teams, mentor engineers, and improve validated software delivery workflows.

Lead simulation, prediction, and validation of structural performance in dynamic electromechanical defense systems. Perform linear and nonlinear FEA, transient dynamics, vibration, shock, fatigue, and structural analyses. Collaborate with designers, controls, and test engineers to improve product durability, manufacturability, cost, and performance. Correlate simulations with physical testing and produce rigorous technical reports. The role supports systems exposed to firing loads, recoil, impact, drops, transportation shock, and other extreme environments.

Own the architectural foundation and user experience of LogicGate’s enterprise Risk Cloud platform. Design scalable TypeScript and Angular components, implement comprehensive automated testing, integrate AI capabilities, optimize performance and accessibility, monitor applications with observability tools, and mentor engineers. Collaborate with product, design, QA, and backend teams in an Agile environment while documenting technical standards and specifications.

Lead the architecture and evolution of AI-enabled, cloud-native software platforms. Evaluate emerging AI, machine learning, cloud, and architecture technologies; define scalable reference architectures; guide data, model integration, monitoring, security, governance, and responsible AI practices; communicate technical strategies; review implementations; and mentor engineering and architecture teams on modern development and AI-assisted engineering.

Own the architecture and technical direction of Metropolis Recognition Platform, including edge-to-cloud pipelines, identity resolution, real-time decisioning, privacy and consent models, observability, and progressive delivery. Lead cross-functional alignment across engineering, computer vision, data, security, platform teams, and partners. Establish RFCs, SLOs, testing standards, operational practices, and architectural best practices while mentoring engineers and managing high-scale distributed systems.

Manages and supports a multi-org Salesforce platform for federal clients, including solution and design reviews, GitHub-based CI/CD deployments, release management, incident response, advanced administration, security assessments, governance documentation, and customer onboarding. Provides Salesforce development, integration, and troubleshooting expertise across declarative and programmatic technologies while supporting platform standards, ATO renewals, stakeholder briefings, and a 24x7x365 on-call rotation.

Leads the data infrastructure platform team responsible for production services supporting batch, streaming, analytics, and machine learning workloads. Oversees people leadership, platform strategy, reliability, security, scalability, cost efficiency, incident response, roadmap execution, and cross-functional collaboration. Builds self-service developer experiences, standardized CI/CD, observability, infrastructure automation, and service ownership practices across Airflow, Flink, Spark, Kafka, Snowflake, Iceberg, AWS, and ML platforms.

Own enterprise voice AI deployments for strategic restaurant customers, from technical discovery and architecture through integration, go-live, optimization, and production support. Write code, configure APIs and workflows, troubleshoot live issues, and collaborate with customer engineering teams and business leaders. Develop reusable deployment tools, reference architectures, and playbooks while translating field challenges into product improvements. Partner closely with Sales, Product, and Engineering and serve as a trusted technical escalation point.

Deploy, operate, and maintain scalable Palantir infrastructure and services for government customers. Responsibilities include monitoring, configuration management, upgrades, migrations, troubleshooting production issues, optimizing reliability, supporting on-call operations, automating manual workflows, and developing infrastructure solutions for Foundry and Apollo platforms.