Top Remote Systems Engineer Jobs in Austin, TX

Lead architecture, development, and validation of end-to-end aircraft fuel systems. Drive cross-functional integration, system-level modeling (CFD), verification, supplier qualification, ground and flight test support, anomaly root-cause analysis, and mentor engineering teams while contributing to long-term fuel-system technology roadmaps.

Maintains and improves large-scale production systems across bare-metal servers, virtual machines, and container platforms. Responsibilities include Linux administration, architecture recommendations, hardware troubleshooting, production deployments, scripting and automation, monitoring, CI/CD, configuration management, technical documentation, and on-call support. The role collaborates with distributed cross-functional teams, uses AI to improve workflows, and requires periodic business travel and government-related background and fingerprint checks.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Own and engineer Arcadia's go-to-market technology stack (Salesforce, Planhat, RocketLane), building integrations, automations, and AI agents. Lead platform overhaul, data quality, reporting, deployments, documentation, user enablement, and cross-team partnership to scale Sales, Marketing, and Customer Operations.

Own and automate end-to-end employee lifecycle and shared IT infrastructure using infrastructure-as-code and SRE practices. Manage ITSM platform and AI-driven virtual agents, build integrations (Okta, Workday, JAMF, Google Workspace, Slack, Zoom, GitLab), instrument metrics, ensure reliability and compliance, and mentor support engineers.

Lead development and integration of Salesforce-centered GTM systems: build Apex/LWC solutions, design event-driven integrations, optimize data flows to Snowflake, manage CI/CD with Gearset/Git, write SQL for reporting and data quality, troubleshoot production, and mentor developers while advancing AI-enabled, composable CRM automation.

Senior technical owner of an existing NetSuite ERP: provide Tier 2/3 production support, triage and permanently resolve incidents, build and optimize SuiteScript 2.x and SuiteFlow customizations, maintain integrations (Deposco WMS, Salesforce via Jitterbit), manage SDF sandbox-to-production promotions, monitor performance, ensure release readiness, author runbooks, and operate under ITGC/SOX-adjacent change management with on-call responsibilities.

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.

Lead integration, validation, and fielding of advanced weapon capabilities on X-Bat across the full lifecycle. Define system behaviors and architectures, coordinate cross-functional integration, support lab/ground/flight tests, perform troubleshooting and root-cause analysis to reduce integration risk and accelerate capability delivery.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Lead systems engineering for complex hardware/software ITS projects from pre-award through deployment. Define system architecture, requirements, KPIs, and acceptance criteria; oversee integration, testing (FAT/SIT/SAT/OAT), documentation, risk and change control; provide technical leadership, client engagement, and handover support to operations.

Summer internship to build production-facing realtime intelligence for a mobile app that optimizes campus quest participation. Design context-aware quest logic, detect stalls/drop-offs, suggest micro-actions, instrument evaluation loops, and ship components on top of existing realtime systems to improve behavioral outcomes like IRL quest completion and retention.

Own and build GTM systems and automations across HubSpot, Clay, and partner integrations. Design quote-to-cash flows, maintain AWS co-sell pipeline, create multi-system workflows, ensure data quality and reporting, prototype and iterate GTM infrastructure, and collaborate with Sales, Growth, and Partnerships leadership.

Improve and scale Airship's distributed data systems by reading and writing Java code, diagnosing performance and cost issues, implementing architecture and library changes, deploying improvements, responding to reliability incidents, and collaborating with backend engineers.

Support design and deployment of distributed energy programs by evaluating utility distribution systems, assessing integration requirements for BESS/EVs/DERs, developing OT and controls strategies, supporting interconnection and hosting-capacity analysis, and collaborating with utility and internal teams to translate technical requirements into deployable recommendations.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

Own and engineer the GTM stack: Salesforce as system of record and HubSpot as marketing system, build and maintain integrations and data flows, deploy agentic AI workflows, implement observability and change management, and partner with Sales, Marketing, Analytics, and Billing to ensure reliable revenue operations.

Own and engineer the GTM stack: Salesforce as source of truth and HubSpot as marketing system; build and maintain integrations, data flows to the data platform, observability, change management, and agentic AI workflows that act on GTM signals to automate revenue operations.

Design, build, and operate secure core infrastructure for MPC signers, HSMs, TEEs, distributed databases, and blockchain-connected services. Develop low-level Rust middleware, secure APIs, and networking; optimize performance, reliability, latency, and resource usage; integrate cryptographic protocols into production; and collaborate with infrastructure, security, research, product, clients, and partners.

Leads engineering, administration, security, performance, and lifecycle management for enterprise IBM Power and IBM i environments. Oversees IBM i OS, HMC, VIOS, PowerVM, LPARs, storage, hardware, high availability, and disaster recovery. Automates administration using Ansible, CL scripting, and Infrastructure-as-Code, while advancing observability, AIOps, security, and compliance. Serves as a senior escalation point, supports mission-critical ERP applications, leads modernization efforts, mentors engineers, and participates in on-call and after-hours maintenance.

Design, prototype, and validate agentic AI systems and LLM-driven workflows for federal health IT. Perform data exploration, integrate agents into cloud analytics platforms, implement MLOps/LLMOps practices, build demonstrations, and guide production deployments while mentoring developers and ensuring governance and security.

Build a talent pipeline for systems engineering roles across levels. Work includes requirements definition and traceability, system architecture and interface management, integration/verification/validation planning, MBSE using tools like DOORS or Cameo, and cross-functional coordination across hardware, software, and test teams.

The IT Systems Engineer will architect and maintain Tempo's IT infrastructure, focusing on identity management, endpoint security, and automation, ensuring efficient provisioning and compliance.

Optimize Ubuntu for the latest IoT and server hardware, leading technical engagements, and work with open source communities. Requires experience with Linux and C/C++.

The Lead Systems Engineer will manage Kafka clusters, optimize performance, ensure security compliance, integrate data flows, and maintain disaster recovery plans. Strong expertise in Kafka administration is required.