Top Engineering Jobs

Part-time Junior QA professional who writes and executes functional, exploratory, regression, cross-browser, and device tests for web and mobile applications. Responsibilities include documenting and verifying defects, maintaining QA documentation, participating in Agile ceremonies, validating APIs and databases, and developing automated tests with Claude Code and Playwright. The role includes structured mentorship and collaboration with engineering and product teams.

Tenure-track faculty member responsible for undergraduate Computer Science teaching, advising, scholarly or professional activity, and departmental and college service. The professor may teach programming, algorithms, architecture, operating systems, databases, software engineering, cybersecurity, AI and machine learning, or data science. The role may also develop courses, support undergraduate research, and contribute to Benedictine College’s Catholic, liberal arts mission.

Develop, maintain, and enhance secure native iOS applications for credit unions and their members. Responsibilities include translating specifications and mockups into polished interfaces, troubleshooting bugs, improving performance, integrating third-party libraries and APIs, supporting deployments, and collaborating with developers, designers, and product teams. The role also requires following development best practices, meeting project deadlines, and staying current with Swift, iOS, and mobile development tools.

Engineering interns gain hands-on manufacturing experience through engineering, operational, and continuous improvement projects. They analyze problems, evaluate data, develop practical solutions, collaborate with cross-functional teams, own projects, and present results to leaders. The program seeks engineering students with initiative, leadership potential, problem-solving ability, communication skills, teamwork, adaptability, and interest in manufacturing and operations. Interns must work in a physically demanding manufacturing environment and be willing to travel and relocate for future opportunities.

Leads end-to-end technical implementations of digital pathology solutions, including environment configuration, integrations, data migrations, testing, go-live stabilization, and troubleshooting across application, infrastructure, networking, storage, identity, and database layers. Develops deployment automation, identifies risks, mentors engineers, improves implementation standards, and collaborates with customers, architects, project managers, Product, Engineering, and Support.

Own end-to-end quality for new features across the operator portal, backend platform, and endpoint agent. Translate requirements into runnable acceptance coverage, build and maintain parallel browser test frameworks, validate APIs and contracts, and integrate suites into CI release gates. Curate automated and AI-generated scenarios, assess test risk, report coverage and failures, and close quality gaps. The role also drives adoption of shared tooling and may involve containerized environments, cloud platforms, virtualization, performance testing, and security product testing.

Leads Lean and continuous improvement initiatives across laboratory operations. Analyzes workflows, facility design, staffing, process data, and operational metrics to identify problems and improve quality, service levels, costs, laboratory turnaround times, and patient wait times. Develops process maps, standard work, performance metrics, management reports, and optimization recommendations. Trains and coaches project teams, supports the Quality Management System, and collaborates with laboratory personnel and management to implement sustainable process improvements.

Build and improve Replicant’s AI-native platform, including site reliability, CI/CD, developer tooling, observability, incident management, cloud infrastructure, and autonomous-agent harnesses. Own production infrastructure reliability at scale, reduce operational toil, improve deployment workflows, participate in on-call rotation, and shape platform engineering patterns. The role uses TypeScript/Node.js, Python, Terraform, Kubernetes, Helm, GCP, and modern monitoring tools.

Build production integrations, data pipelines, spend models, and agentic AI workflows for enterprise procurement customers. Embed with customer teams to normalize messy data, define and measure deployment outcomes, customize reliable workflows, and create customer-specific evaluations. Lead demos, training, security reviews, and pilot implementations while feeding reusable integrations and patterns back into the core platform. Travel to customer sites approximately once or twice monthly.

Leads technical strategy, architecture, documentation, quality standards, complex .NET development, CMS and platform integrations, and AI-enabled solutions. Advises clients and internal teams, resolves high-risk technical problems, guides implementation decisions, supports consulting and solution scoping, and evaluates emerging technologies. The role also establishes maintainable, secure, accessible, performant, and supportable engineering practices while developing prototypes, agents, automation, and reusable technical approaches.