Top Remote Software Engineer Jobs in Raleigh-Durham, NC

Own database performance, reliability, observability, migrations, capacity planning, backups, and recovery for a distributed CockroachDB environment. Diagnose query, indexing, schema, contention, and transaction issues; guide database design and changes; support incident response; improve operational practices; and mentor engineers across infrastructure, platform, and application teams.

Own engineering delivery, organizational design, security, infrastructure, fraud initiatives, incident escalation, and cross-functional prioritization. Build scalable team structures, propose hiring plans, represent engineering to executives, and oversee infrastructure and data decisions. The role requires substantial engineering leadership experience, hands-on backend or full-stack development experience, and a track record of scaling engineering organizations at startups or scaleups.

Lead the design, development, and optimization of scalable web and mobile applications using Ruby on Rails, React, React Native, Docker, PostgreSQL, and AWS. Own architecture, APIs, data models, monitoring, performance, and code quality while collaborating with product, data, and DevOps teams. Provide technical leadership through system design, code reviews, mentoring, and continuous improvement in a remote-first healthcare technology environment.

Design, build, and ship native Android features in Kotlin for BJAK's AI Neobank app. Integrate backend APIs, improve performance, reduce crashes, collaborate with product/design, use analytics to iterate, and add on-device AI where it improves UX.

Build and maintain low-latency connectivity APIs and integrations with crypto exchanges, OTC desks, brokers, and other trading venues. Develop order routing, trade execution, and real-time data ingestion systems using REST, WebSocket, and FIX. Monitor connections and data pipelines, improve reliability and observability with Grafana and Prometheus, collaborate on exchange onboarding, and create automated tests for production readiness.

Develop and maintain high-quality Android applications across their full lifecycle. Responsibilities include writing reusable code, creating unit and UI tests, debugging and optimizing performance, monitoring stability with Crashlytics and ANR reports, implementing analytics tracking, supporting feature rollouts and A/B testing, maintaining legacy apps, and collaborating with Product, QA, Backend, and Design teams.

Develops and maintains ServiceNow ITSM applications, workflows, integrations, Service Catalog, and CMDB capabilities. Leads sprint development, testing, demonstrations, UAT, stakeholder acceptance, secure coding, release documentation, and platform change processes. Implements customer-confirmed ticket closure workflows, supports Service Portal and analytics integrations, mentors developers and testers, and maintains technical standards. The hybrid Quantico role supports a government IT program and requires active Secret clearance, U.S. citizenship, and up to 10% travel.

Administer and develop SharePoint and Power Platform solutions, including sites, forms, workflows, apps, reports, dashboards, migrations, and automations. Gather requirements, design and test solutions, troubleshoot issues, maintain documentation, provide technical support and user training, and communicate directly with clients. The role requires adherence to governance standards, independent testing, and delivery of customer-focused solutions.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.