Top Engineering Jobs

Designs, develops, integrates, tests, and deploys software for advanced space systems involving orbit determination, maneuver planning, constellation management, and signal processing. Works across the full software lifecycle with multidisciplinary engineering teams, develops scientific applications in cloud-native environments, supports hardware interfaces, improves engineering processes, and provides technical leadership throughout system development and deployment.

Identifies, analyzes, and optimizes operational processes using Lean, Six Sigma, data analysis, and process improvement methodologies. The role evaluates inefficiencies, develops and implements improvements, measures outcomes, trains staff, and ensures sustained performance gains. It collaborates with cross-functional teams and leadership while preparing reports and presentations on findings and recommendations.

Lead a pod of four to six engineers building Neko’s growth systems, including its website, funnel, payments, booking, referrals, memberships, localization, and market launches. Set technical direction, improve architecture and instrumentation, own quality and security, run growth experiments, and mentor or hire engineers. The role requires hands-on full-stack consumer product development and ownership of conversion or revenue outcomes, with emphasis on AI-assisted engineering.

Lead domain architecture for Blue Yonder/JDA solutions, translating business needs into technical roadmaps, high-level designs, integrations, and standards. Collaborate with stakeholders, enterprise architecture, partners, and development teams to ensure secure, scalable, and compliant implementations across the domain.

Build and productionize data and AI applications on Palantir Foundry for biomedical domain teams. Responsibilities include designing data pipelines, transformations, ontology models, workflow applications, integrations, access controls, data quality checks, and production monitoring. The role leads discovery and iterative delivery, partners with product, data, governance, and platform teams, supports user adoption, and creates reusable delivery patterns. Candidates need strong programming, data and application engineering, stakeholder management, and biomedical domain experience.

Integrates building automation, IoT, HVAC, lighting, energy, and facility management systems with AWS, Azure, and Google Cloud platforms. Conducts building audits, network discoveries, system architecture mapping, cloud onboarding, data pipeline configuration, cybersecurity controls, testing, troubleshooting, reporting, and analytics. Collaborates with IT and facilities teams, supports clients, mentors engineers, and leads technical delivery and continuous improvement across digital building projects.

Senior individual-contributor backend engineer responsible for designing, building, and operating production-grade, highly available, strongly consistent services for wallet operations, transaction orchestration, blockchain integrations, and event-driven workflows. Implement secure, scalable APIs, cryptographic key management, Kafka-based event systems, observability with OpenTelemetry, CI/CD pipelines, and produce tests, API specs, and operational runbooks.

Full‑stack engineer role building AI-powered RCM automation, modern EHR features (AI scribes, intake automation, analytics), and data pipelines for claims and clinical records. Work spans backend, frontend, and data processing to deliver production AI systems for behavioral health.

Build and maintain CI/CD pipelines, manage AWS infrastructure with Terraform, automate configuration using Ansible, optimize cloud costs, monitor performance, troubleshoot systems, implement security and compliance automation, and collaborate with development and operations teams. The role requires strong networking, cloud, containerization, scripting, and infrastructure automation expertise.

Develop and maintain full-stack applications using React.js, Node.js, Java, AWS, MySQL, and DynamoDB. Build responsive frontend components, secure RESTful APIs, cloud-native services, and CI/CD deployments. Participate in Agile ceremonies, code reviews, troubleshooting, documentation, testing, and collaboration with product, design, QA, and DevOps teams. Use AI-assisted development tools for coding, testing, debugging, refactoring, and documentation.