Top Engineering Jobs

Design, develop, and maintain Palantir Foundry solutions: build ontology objects, workspaces, dashboards, and forms; manage datasets and data transformations; gather and translate business requirements; troubleshoot, document, and support Foundry applications while collaborating with cross-functional stakeholders.

Work with enterprise customers to design and implement Neo4j graph solutions across the project lifecycle: graph data modeling, architecture, data ingestion, AI/analytics integrations, deployment, training, and technical consulting to ensure production-ready outcomes.

Design, develop, and deploy Tungsten TotalAgility document capture and workflow solutions. Configure classification, extraction, OCR, forms, queues, and business rules. Build integrations with APIs, ERP/CRM/ECM, databases and cloud platforms. Troubleshoot production issues, support deployments, participate in code reviews, and contribute to AI/IDP innovation.

Build and ship end-to-end product features across frontend, backend, and infrastructure. Prototype and run experiments to move product metrics. Own production systems (debugging, performance, reliability). Use AI/ML tools and LLM APIs to create intelligent experiences. Contribute to code quality, documentation, and reviews.

Design, develop, test, and maintain scalable payment applications and backend services. Build secure, PCI DSS-compliant APIs, debug production issues, participate in code review and architecture discussions, optimize performance, and collaborate with cross-functional teams while mentoring junior engineers.

Design, build, and maintain CI/CD pipelines and cloud infrastructure using Azure DevOps, Terraform/Ansible, Docker, and Kubernetes. Support Windows/Linux systems, monitoring and observability, incident response, and on-call rotation. Collaborate with development teams to automate deployments, troubleshoot reliability issues, document processes, and report system health.

Design, implement, and maintain backend APIs, services, and data pipelines. Optimize database performance, manage Docker-based microservice architecture, ensure software quality with testing and monitoring, collaborate across teams, and serve on-call roughly one week per month.

Design and deliver complex, scalable SaaS features end-to-end using AI-assisted development tools. Own specifications, implement and review AI-generated and human code, build REST APIs, maintain UI and backend services, drive AI-assisted workflows, and mentor cohort engineers on tooling, spec writing, and best practices.

Lead delivery for the Payroll development team, contribute as a senior full-stack developer, mentor engineers, partner with Product to translate roadmap into shipped features, champion AI-assisted development tools, ensure quality and reliability of payroll and tax functionality, and support production issue resolution.

Design, implement, and optimize high-performance backend services and APIs in Go. Architect scalable, fault-tolerant distributed systems using Kafka for large-scale data processing and streaming. Collaborate with product, frontend, and data teams; monitor and profile systems for performance and reliability; drive engineering best practices; and mentor junior engineers.