Top Remote Systems Engineer Jobs

Own the architecture and technical direction of Square’s go-to-market technology stack. Design, build, and operate production AI agents and automated workflows that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations; establish AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering teams to translate business needs into scalable solutions, guide integrations and build-versus-buy decisions, and mentor engineers through influence and technical leadership.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Own the architecture and technical direction of Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish reliable and secure AI evaluation practices, make build-versus-buy decisions, and partner with Sales, Product, Data, and Engineering. Remain hands-on across design, implementation, testing, deployment, and operations while mentoring engineers and influencing senior stakeholders.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Lead and champion Model Based Systems Engineering (MBSE) adoption across programs: develop models and modeling strategies (SysML/UML/UAF), use MagicDraw/Cameo, provide technical guidance, build training and best practices, and support the transition to digital/cloud-based engineering environments.

Designs and maintains enterprise data integrations, metadata pipelines, APIs, workflows, data models, catalogs, and governance solutions. Resolves data quality and interoperability issues, documents technical processes, and collaborates with developers, data stewards, analysts, and governance stakeholders. Independently manages technical workstreams from requirements through implementation, testing, troubleshooting, and documentation. The role requires SQL, relational database, data modeling, cloud platform, API, and structured data experience, plus eligibility for a Secret clearance and DoD CAC.

Deploys, integrates, operates, and optimizes high-performance NFS storage for Kubernetes, bare-metal, GPU, and AI workloads. Responsibilities include CSI integration, Linux and NFS tuning, storage lifecycle management, air-gapped deployments, infrastructure-as-code, GitOps automation, observability, and troubleshooting performance or reliability issues across hybrid and edge environments.

Develop and implement real-time automation controls and industrial information solutions from manufacturing plant floors to enterprise systems. Responsibilities include PLC, HMI, SCADA, networking, database, and vision-system design; programming, debugging, testing, documentation, commissioning at client sites, process improvement, complex problem-solving, technology adoption, and mentoring. The role requires collaboration with clients and travel to sites across the USA.

Design, maintain, and scale secure AI and automation solutions for enterprise productivity. Build API- and connector-based workflows, configure centralized platforms, document standards, train users, and partner with technical and business stakeholders to reduce manual work and improve operational efficiency.

The Staff Business Systems Engineer will lead the optimization of Core Financials and Tax systems, focusing on NetSuite ERP integration and compliance, while partnering with various teams to enhance operational efficiency.

Investigate and resolve complex Tier 3 customer and production issues across Windows endpoints, cloud services, APIs, networking, and application data. Reproduce issues, analyze logs and source code, identify root causes, validate fixes, and coordinate with Engineering, QA, Product, Support, and Customer Success. Build troubleshooting automation, improve monitoring and observability, and document technical findings and known issues.

Administers and supports enterprise network, server, storage, and data infrastructure. Monitors performance, availability, and capacity; implements upgrades and configuration changes; maintains backup, recovery, and business continuity processes; and troubleshoots infrastructure and system issues. The role supports secure, reliable technology operations and collaborates with technical stakeholders. It is remote within North Carolina and requires applicable certification through certain education pathways, a valid driver’s license, and North Carolina residency.

Own and administer Salesforce and NetSuite while designing and deploying production-grade AI-driven automations and agent workflows. Ensure data governance, PHI/HIPAA compliance, release management, and quote-to-cash integrity. Partner cross-functionally to prioritize work, coach teams, document systems, and measure impact of automation on operations and revenue.

Design, deploy, maintain, tune, and secure enterprise Linux environments supporting high-performance EDA compute farms. Lead infrastructure-as-code automation, configuration management, continuous deployment, and tooling development using Python, Bash, or Go. Manage LDAP/SSSD naming services, NFS and Autofs storage, virtualization, container infrastructure, registries, networking, and infrastructure telemetry. Support highly available, scalable systems and potentially integrate cloud platforms, CI/CD pipelines, EDA toolchains, and HPC clusters.

Build and operate highly available, fault-tolerant distributed systems supporting Netflix’s global content creation and enterprise workflows. Responsibilities include architecting scalable infrastructure, setting technical direction, making architectural decisions, improving developer experience and observability, mentoring engineers, collaborating cross-functionally, participating in on-call rotations, and leading incident reviews. The role may involve eventing, workflow, data, messaging, and communication platforms.

Provides model-based systems engineering support for military weapons systems. Responsibilities include systems analysis, integration, configuration management, quality assurance testing, technical documentation, requirements engineering, architecture modeling, verification and validation, and performance optimization. The role requires developing and assessing MBSE models using UML, SysML, and UAF, applying digital-thread practices, and supporting technical decisions in a stakeholder-rich environment.

Design, test, deploy, and continuously improve prompts and system instructions for AI agents supporting enrollment, learning, and student success. Build evaluation frameworks, monitor production performance with observability tools, conduct red-team testing, manage prompt versioning, and collaborate with engineers, product managers, learning designers, faculty, and university stakeholders. Translate educational and operational requirements into reliable agent behavior across RAG, multi-turn, voice, and multimodal experiences.

Lead engineer in GE Vernova's Grid Integration and Stability practice performing modeling, transient and steady-state studies, and equipment modeling for inverter-based resources, batteries, FACTS and power electronics. Create and parametrize simulation models, assess grid code compliance, support customers, contribute to standards groups, present findings, and participate in industry forums.

Develops and implements real-time industrial automation and information solutions from plant-floor controls through enterprise systems. Responsibilities include PLC/PAC programming, HMI and SCADA design, networking, databases, vision systems, debugging, testing, documentation, client-site commissioning, process improvement, problem-solving, technology adoption, and mentoring. The role supports manufacturing clients, particularly in food and beverage or life sciences, and requires regional travel throughout the Mid-Atlantic.

Designs and maintains automation scripts for network provisioning, application deployment, CI/CD integration, regression testing, and server monitoring. Deploys applications to WebLogic and JBoss, supports development-to-production transitions, and builds proactive alerting for server and application health using Python, Bash, and shell scripting.

Leads CBTC systems engineering for greenfield and brownfield rail transit projects. Responsibilities include developing signaling strategies, managing lifecycle activities from concept through handover, defining requirements and contract documents, supporting procurement, leading testing and commissioning, managing scope and risks, and coordinating agencies, contractors, vendors, and internal teams. The role requires extensive rail signaling experience, strong knowledge of CBTC architecture and interfaces, systems integration expertise, and stakeholder leadership.

Provides advanced, top-tier managed IT support for client escalations, including Windows Server, Microsoft 365, Azure, networking, virtualization, identity, email, and cloud environments. Troubleshoots emergency issues, manages security events, coordinates with vendors, supports migrations, develops technical recommendations, maintains client relationships, and mentors desktop support staff. The role also administers automation, reporting, enterprise AI solutions, and client infrastructure using PowerShell, Power BI, Power Automate, VMware, Hyper-V, Cisco, Meraki, and Kaseya.

Develop and ship medium-complexity game features and systems from technical design through rollout and support. Responsibilities include writing maintainable C++ and C# code, debugging complex issues, testing, documentation, estimating and coordinating tasks, managing Jira updates, and collaborating with engineering, design, art, production, and QA teams. The role requires autonomous work in large codebases, proactive communication, and expertise across at least three game engineering domains.

Own technical pre-sales engagements for media and entertainment customers: design cloud/hybrid file and object storage architectures, deliver demos and POCs, produce technical proposals/RFP responses, drive deal strategy, and act as a trusted advisor to studios, broadcasters, and partners to win and expand M&E opportunities.

Build and operate security research infrastructure, including static and dynamic malware analysis pipelines, YARA tooling, sandboxing environments, threat indicator enrichment, and graph-based intelligence systems. Develop ingestion pipelines connecting scan data with external threat feeds, ensure reliability and observability, and securely isolate malicious samples. Partner with threat researchers and detection engineers to create scalable production systems, while documenting architecture and operational procedures.