Top Remote Engineering Jobs

Owns build and deployment automation, platform health, scaling, monitoring, and high-availability DevOps pipelines. The role involves developing self-service tools, expanding a multi-account AWS environment, improving SRE practices, and securing systems for commercial and high-side environments. Requires strong AWS, CI/CD, infrastructure-as-code, containerization, scripting, and monitoring expertise, plus U.S. citizenship and TS/SCI with full-scope polygraph clearance. Travel to a Washington, DC customer site may reach 50%.

Leads enterprise Azure Virtual Desktop and Azure architecture engagements from strategy through implementation and optimization. Partners with executive stakeholders to define requirements, architectures, roadmaps, investment cases, and cost models. Designs secure, scalable solutions spanning identity, networking, compute, storage, applications, security, automation, and endpoint management. Provides technical leadership, customer-facing documentation, implementation guidance, mentoring, and collaboration across sales, engineering, delivery, and cloud operations teams.

Designs and develops scalable Salesforce solutions integrated with enterprise applications. Leads architecture, hands-on development, security, data, API, deployment, performance, and modernization initiatives using Salesforce, Java/.NET, databases, middleware, cloud platforms, and AI-assisted engineering practices. Establishes reusable patterns, CI/CD standards, architecture guardrails, and development practices while leading technical reviews and guiding engineering teams.

Leads a small engineering team developing and modernizing healthcare interoperability software. Responsibilities include designing, coding, testing, deploying, debugging, documenting, and reviewing full-stack applications; translating requirements into solutions; participating in Agile ceremonies; and applying AI-enabled development practices. The role supports FHIR-based data exchange and CMS regulatory requirements while collaborating across engineering teams.

Designs, implements, validates, benchmarks, troubleshoots, and supports accelerated compute and high-performance storage infrastructure for enterprise AI workloads. Conducts discovery, migrations, installations, configuration, testing, documentation, and client knowledge transfer. Collaborates with project managers, architects, sales teams, partners, and stakeholders to manage scope, timelines, risks, and deliverables. The role requires client-facing consulting, technical documentation, infrastructure troubleshooting, occasional overtime, and travel to client sites or company locations.

Implements, validates, troubleshoots, and optimizes high-performance AI network fabrics supporting GPU clusters and distributed workloads. Configures InfiniBand, Ethernet, RoCE, routing, congestion management, telemetry, cabling, and fabric-management systems. Performs installation, burn-in, performance testing, documentation, knowledge transfer, and client handoffs. Contributes to statements of work, implementation plans, and solution validation while managing project scope, schedules, budgets, and customer communication.

Engineer and maintain production systems across large-scale datacenter environments. Responsibilities include Linux administration for bare-metal servers and virtual machines, hardware troubleshooting, systems architecture recommendations, automation scripting, container orchestration, virtualization, CI/CD, configuration management, monitoring, technical documentation, and participation in an on-call rotation. The role collaborates with distributed teams and requires periodic business travel and additional government-customer background checks.

Operate and maintain large Kubernetes clusters across data centers and public clouds. Troubleshoot infrastructure, networking, storage, DNS, and control-plane issues; participate in on-call incident response; perform upgrades and capacity changes; build monitoring dashboards and alerts; automate repetitive work with Go or Python; maintain documentation and use AI tools to improve engineering workflows.

Design, build, and operate hybrid/multi-cloud and on-prem platform infrastructure. Lead cross-team initiatives, automate via IaC/CI-CD, apply AI tools for operations, implement observability and security best practices, provide tier-3 support and on-call coverage, and create reusable platform patterns and self-service capabilities for data and analytics workloads.

Provides onsite operational and engineering support for large-scale Juniper enterprise and data center networks. Responsibilities include network design, deployment, validation, troubleshooting, wireless optimization, RF analysis, incident response, automation, lifecycle management, documentation, and customer training. The engineer supports Juniper Mist, Marvis AI, QFX and EX platforms, routing protocols, EVPN/VXLAN environments, upgrades, migrations, and JTAC case resolution while maintaining customer satisfaction and network performance.

Provides on-site automotive technical support to GM dealerships and wholesale teams. Diagnoses vehicle and Techline issues, resolves escalated cases, supports repair and repurchase prevention, reviews dealership service readiness, trains personnel, troubleshoots IT and diagnostic tools, and reports product concerns to GM engineering and quality teams. The role manages territory relationships, supports arbitration and legal cases, and requires frequent travel, extensive automotive diagnostic experience, and strong customer and technical communication skills.

Leads an engineering team developing autonomous vehicle evaluation platforms, metrics, workflows, dashboards, and analysis tools for simulation and on-road testing. Sets technical direction, guides statistical and machine learning evaluation methods, oversees performance analysis across perception, prediction, and planning, and supports release gating and risk assessment. Responsibilities include hiring, coaching, architectural decisions, cross-functional collaboration, code quality, observability, and translating system-level results into actionable engineering and leadership insights.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Serve as the technical bridge between Engineering, Product Management, and field teams. Translate cloud requirements into product requirements, validate enterprise architectures and workflows, and conduct hands-on feature and integration testing. Enable post-sale implementations through documentation, solution briefs, demos, and technical guides. Advise customers and partners on cloud architecture and integrations while supporting sales engineering and professional services teams.