Top Remote Engineering Jobs

Designs, administers, maintains, and supports hybrid cloud infrastructure across Azure, VMware, networks, operating systems, databases, and security appliances. Builds CI/CD pipelines and Infrastructure-as-Code deployments, manages Kubernetes and AKS environments, configures cloud-native services, supports disaster recovery, and troubleshoots infrastructure and SQL Server issues. The role also maintains Active Directory, mentors engineers, improves reliability and cost efficiency, supports business applications, and collaborates with technical and business teams.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Troubleshoot complex customer and internal issues, develop internal SaaS tools, support Product and Engineering teams, manage incidents, monitor alerts, coordinate stakeholders, and participate in an on-call rotation. The role requires programming experience, strong SQL and database skills, observability tooling knowledge, API and SDK familiarity, device administration experience, and excellent communication.

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Own the design and implementation of native iOS and Android SDKs supporting mobile device intelligence and fraud detection. Investigate complex systems-level engineering problems, evaluate platform behavior and technical tradeoffs, collaborate with Product, Engineering, Data Science, Fraud Intelligence, and Sales, and establish SentiLink’s mobile engineering capabilities.

Lead development of scalable search-platform software focused on product-catalog relevance. Design lexical and semantic retrieval, hybrid ranking, reranking, and learning-to-rank systems; evaluate quality through offline metrics and online experiments. Partner with Data Science, Product, Analytics, and Architecture teams on embeddings, relevance measurement, and technical solutions. Maintain production systems, resolve issues, mentor engineers, conduct code reviews, and promote continuous delivery and engineering best practices.

Build and scale the PSA Liquidity Platform connecting buyers and sellers across PSA Partner Offers and eBay Consignment. Responsibilities include developing buyer tooling, pricing and ranking engines, seller experiences, microservices, distributed event-driven systems, and observability. The role owns end-to-end product delivery, cross-functional execution, technical architecture, ecosystem integrations, and production outcomes while using AI throughout the software development lifecycle.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

Owns end-to-end EDI integration implementations, including requirements analysis, mapping, development, testing, deployment, monitoring, troubleshooting, and post-production support. The role develops data transformations and integrations across enterprise systems, manages trading partner implementations, ensures production readiness, and collaborates with business and product teams. It also serves as an integration subject matter expert, mentors specialists, and supports standardized, high-quality integration practices.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.