Top Tech Jobs & Startup Jobs in Raleigh-Durham, NC

Build and maintain CRM and HRM connectors (Salesforce, HubSpot, Pipedrive, BambooHR, Personio, Deel, Workday), own integration patterns and libraries, support customer onboarding and troubleshoot production issues, document APIs, and prioritize connector roadmap with Product.

Design, build, deploy and maintain scalable AWS infrastructure using EKS and Terraform. Manage GitLab CI/CD pipelines, automated versioning and hotpatch deployments, and troubleshoot cloud-based environments to ensure secure, reliable application delivery.

Lead design and implementation of automated testing solutions using Playwright and TypeScript. Define automation standards, build scalable frameworks, create UI and API automation, integrate tests into CI/CD, and ensure software quality across enterprise applications.

Lead product discovery, engage with customers to identify problems, develop solutions, communicate product decisions, and collaborate with engineering teams to create prototypes and MVPs.

The Partner Success Manager is responsible for managing partner relationships post-onboarding, ensuring success and growth through reporting, enablement, renewals, and addressing feature requests.

Lead end-to-end Salesforce Field Service architecture and implementations, design API-driven integrations with ERPs and middleware, govern technical standards and DevOps, drive pre-sales solutioning, advise on operating models and AI-readiness, mentor distributed teams, resolve escalations, and develop reusable accelerators to ensure scalable, long-term technical delivery.

Full-stack feature-team engineer working across UI, JavaScript, and backend to build scalable investment portfolio management web applications. Gather requirements with product and users, design solutions, implement and deploy code, and operate in Linux environments. Emphasis on strong computing fundamentals, Ruby on Rails proficiency, user workflow understanding, and clear communication.

Founding engineer responsible for architecting and building core product systems, writing scalable Python backend code, designing and maintaining AI/ML infrastructure, instituting best development practices (testing, CI/CD), collaborating on product roadmap, and mentoring future engineers.

Responsible for preparing and analyzing quarterly consolidated financial statements, supporting audits, and ensuring data integrity and compliance with US GAAP standards.

The Director of Data Science leads multiple teams, focusing on Azure architecture and cloud modernization, while mentoring architects, promoting a strong engineering culture, and connecting business goals to technical solutions.