Top Engineering Jobs

Lead Salesforce Engineer responsible for Salesforce architecture, development, testing, deployment, integrations, data migrations, troubleshooting, code reviews, and system optimization. The role manages Salesforce CRM and claims configurations, supports managed packages, translates business requirements into solutions, collaborates with vendors and internal teams, documents processes, assists with training, and recommends platform improvements. Travel is required up to 10%.

Build and operate production software, data systems, APIs, internal tools, and AI-powered research workflows for Patch’s climate market-intelligence platform. Responsibilities include ingesting and modeling heterogeneous external data, ensuring data quality and provenance, developing retrieval and agent workflows, and translating user needs into reliable products used by Climate Strategy, Sales, and Marketing. The engineer will own medium-sized projects end to end and contribute to architecture, observability, testing, and system evolution.

Participates in a 10–12 week manufacturing engineering internship focused on operational efficiency and continuous improvement. Responsibilities include developing automated systems, implementing and training teams on a maintenance work-order system, streamlining production tracking reports, supporting plant meetings and training, and assisting with Lean events across Terry Towel and Sheeting departments.

Build AI-powered systems for analyzing and generating iOS code, reliable backend services, scalable code-processing infrastructure, and an Xcode plugin. The role involves making architectural decisions, solving complex technical problems, and developing core features alongside the founding team. Candidates should have strong algorithms and data structures knowledge, backend or developer-tool experience, and a background in low-level systems or infrastructure. Xcode, iOS development, code analysis, and large-scale AI experience are preferred.

Develop, configure, monitor, troubleshoot, and support healthcare data interfaces connecting EHR systems to health information exchange solutions. Responsibilities include HL7v2, FHIR, and C-CDA integration, onboarding data sources, interface migrations, SQL-based data analysis, documentation, QA, system upgrades, performance monitoring, and customer/vendor coordination.

Design and scale Macroscope’s distributed backend systems, cloud infrastructure, APIs, CI/CD pipelines, observability, and production operations. Build infrastructure for large-scale LLM training, fine-tuning, and inference workloads in partnership with ML researchers. Lead architectural decisions and infrastructure projects, improving system reliability, performance, and scalability while working with Go, GCP, Terraform, PostgreSQL, Temporal, and related technologies.

Supports testing and reliability engineering for electro-mechanical systems used in autonomous vehicles and robotic automation. Responsibilities include developing test plans, building reliability fixtures and rigs, conducting life and environmental testing, analyzing failures, troubleshooting field systems, interpreting instrumentation data, and supporting manufacturing test fixtures. The role requires hands-on integration experience with robotics or autonomous vehicles and offers opportunities to grow ownership of complex safety-critical systems.

Build and operate production software, data systems, APIs, internal tools, and AI-powered research workflows for Patch’s climate market-intelligence platform. Responsibilities include ingesting heterogeneous external data, modeling and validating information, ensuring provenance and freshness, developing retrieval and agent workflows, and turning user needs into reliable production systems. The engineer will partner with Climate Strategy, Sales, and Marketing while owning medium-sized projects from discovery through rollout and monitoring.

Build and operate Numeral’s platform services, public API, MCP server, ERP and billing integrations, infrastructure, data pipelines, and developer interfaces. Own projects from technical design through production, improve observability and reliability, automate deployment workflows, and support scalable background jobs and APIs. Collaborate with product and engineering teams while applying distributed-systems principles and maintaining accurate, dependable financial-data workflows.

Analyzes and optimizes complex human-machine systems, workflows, and technical environments. Conducts cognitive task analysis, subject matter expert interviews, knowledge elicitation, work domain analysis, abstraction hierarchy development, and systems modeling. Produces reports and recommendations to improve situational awareness, reduce cognitive workload, and accelerate decision-making. Collaborates with technical teams, end users, client stakeholders, and defense organizations while providing project leadership and technical oversight.