Top Remote Engineering Jobs

Owns administration, development, governance, upgrades, integrations, and support for ServiceNow and related business systems including NetSuite and Arena PLM. Builds workflows, scoped applications, automations, APIs, and system integrations; maintains data quality and CMDB integrity; supports testing and production releases; and partners with operations, service, engineering, supply chain, and finance stakeholders to deliver scalable solutions.

Own and evolve a secure, cloud-native internal developer platform for a federal health mission. Responsibilities include Terraform and GitOps foundations, multi-tenant Kubernetes on AWS GovCloud, self-service onboarding, MLOps/AIOps, data lakehouse enablement, observability, security automation, compliance artifacts, documentation, and stakeholder partnership. The role requires senior ownership of production platforms and offers opportunities for technical leadership.

Performs manual and exploratory testing of a React Native mobile app across iOS and Android, creates test plans and cases, documents defects, and verifies fixes. Builds automated UI regression tests, TypeScript and Node.js test fixtures, and POS mock services. Helps establish QA processes, evaluate tools, integrate testing into CI/CD, and collaborate with engineering and product teams on release readiness.

Designs and governs scenario and test sets for autonomous-vehicle behavior verification. Owns validity checks and release-pipeline approvals, translates behavior requirements into testable criteria, investigates behavior deficiencies and test escapes, distinguishes real failures from simulation artifacts, and coordinates verification cadence across planning, simulation, evaluation, safety, operations, and platform teams.

Assist with manual and regression testing of web-based AI products across frontend, backend, workflows, and AI-generated outputs. Document bugs and edge cases, validate fixes with engineers and product managers, evaluate LLM output quality, and improve QA documentation and processes. The intern will also use AI tools to generate test cases, identify edge scenarios, and support test automation workflows. Training is provided, with opportunities to grow into QA automation or engineering roles.

Own and scale Cribl’s corporate IT systems, including Okta identity, AWS infrastructure, endpoint management, ServiceNow, SaaS integrations, automation, and AI tool governance. Lead lifecycle workflows, security baselines, compliance reporting, incident escalation, and on-call operations while partnering with Security, Enterprise Applications, Finance, Compliance, and People teams.

Own QA planning and execution for APIs, SDKs, web applications, and real-time voice and video integrations. Build automated API, end-to-end, and regression tests within CI/CD pipelines; identify and track defects; validate reliability and performance; maintain test datasets; support AI model release testing; triage customer issues; and improve QA standards, metrics, documentation, and release processes.

Build and maintain scalable backend services, RESTful and GraphQL APIs, database schemas, and cloud infrastructure. Own architecture decisions, optimize performance and reliability, improve CI/CD practices, collaborate across product and engineering teams, lead architecture sessions, review code, and mentor junior developers.

Own Android features end to end, from identifying user needs through development, launch, and performance evaluation. Build idiomatic, well-tested Kotlin and Jetpack Compose applications, shape product direction, and collaborate with design, leadership, and engineers across Android, iOS, web, and backend. Drive decisions in ambiguous situations, improve mobile engineering standards, and contribute to product strategy while working remotely with distributed teams.

Lead a team of platform engineers while remaining hands-on in designing and implementing unified data platforms. Responsibilities include integrating siloed analytics applications, developing APIs and event streams, maintaining shared platform services, understanding distributed data pipelines, managing AWS infrastructure, applying infrastructure as code, and establishing deployment and reliability standards. The role also involves mentoring engineers, coordinating distributed contributors, evaluating cloud adoption, and translating technical decisions into business value, risk, and compliance outcomes.