Top Remote Systems Engineer Jobs

Architects, scales, and governs design systems, ensuring 1:1 parity between design assets and front-end code. Owns component libraries, design documentation, design tokens, accessibility standards, and UI pattern governance. Partners closely with development, product, and UX teams to guide implementation, manage component requests, conduct usability testing, reduce technical debt, and improve developer experience. Also maintains machine-readable documentation and AI-ready design infrastructure.

Build and productize an internal agentic AI platform for research and simulation. Responsibilities include developing and evaluating multi-agent workflows, designing prompts and tool calling, integrating structured and unstructured data, deploying AI workloads to cloud infrastructure, creating reusable software tools, and documenting evaluation criteria. The role emphasizes reliable, traceable LLM workflows, cloud services, security, governance, and production-grade AI platform engineering.

Build and operate full‑stack labeling tools and pipelines for autonomous vehicle ML. Design scalable UIs and services, integrate ML-driven annotation, create automation and QA tooling, own projects end‑to‑end, and collaborate with ML, Ops, Product, and Data teams to improve labeling quality and velocity.

Design, build, and operate scalable hybrid human/machine data-labeling tools and pipelines for autonomous vehicle ML. Implement full‑stack features (frontend, backend, APIs), integrate ML-driven annotation and active learning, build automation and QA tooling, and own projects end-to-end while collaborating with ML, product, and operations teams to improve labeling velocity and quality.

Own and improve Onebrief’s corporate security stack across endpoints, identity, SaaS, browsers, Zero Trust, EDR, SIEM, and MDM. Establish secure configuration baselines, detect and remediate drift, integrate telemetry, and build API-driven or infrastructure-as-code automation. Translate CMMC 2.0 and NIST-aligned requirements into continuously validated technical controls and reliable audit evidence. Partner with Corporate IT, Security Operations, GRC, and application owners to strengthen security posture and reduce manual compliance work.

Develop and manage requirements for aerospace APU control systems across architecture, interface definition, validation, verification, integration, and qualification. Support requirements traceability, test planning, technical risk assessment, issue resolution, customer interactions, and program milestones while collaborating with hardware, software, test, and project engineering teams.

Build scalable evaluation, introspection, visualization, and metrics tools for autonomous vehicle machine learning models. Develop workflows processing billions of examples and connect offline evaluation with data, training, simulation, and launch decisions. Collaborate with modeling, data, infrastructure, and validation teams to improve model performance, safety, reliability, and development speed. Responsibilities include software design, implementation, maintenance, code reviews, and production tooling across backend, frontend, and data infrastructure.

Lead systems engineering for APU control systems, guiding requirements engineering and a small technical team. Responsibilities include requirements development, decomposition, traceability, system architecture, interface definition, validation and verification, environmental qualification, technical reviews, risk assessment, and cross-functional coordination with hardware, software, test, suppliers, customers, and project engineering teams.

Design, build, monitor, and maintain large-scale Linux infrastructure supporting distributed S3-compatible object storage across multi-cloud environments. Responsibilities include kernel and storage optimization, network and hardware troubleshooting, automation with Chef or Ansible, observability, forecasting capacity, technical leadership, project coordination, mentoring, documentation, and on-call support.

Design, develop, model, integrate, validate, and test environmental control systems for commercial, regional, business, and military aircraft. Develop ECS performance simulations and steady-state models, conduct thermodynamic, heat transfer, and fluid mechanics analyses, define system requirements, validate models against test data, and collaborate with cross-functional hardware and software engineering teams.

Designs, develops, and integrates aircraft Environmental Control Systems. Responsibilities include developing and validating ECS performance models, conducting thermodynamic, heat transfer, and fluid mechanics analyses, defining system and equipment requirements, optimizing and documenting steady-state models, integrating hardware and software, and performing system verification, validation, and testing.

The Information Systems Engineer will design integrations and enhance engineering processes across various business systems, focusing on scalability and efficiency. Responsibilities include collaborating with teams to implement systems solutions, optimizing integrations, monitoring performance, and supporting production applications.

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 architecture and scaling of finance systems across Oracle Fusion and integrations. Drive AI-assisted development, design data models, build integrations (SQL/PLSQL, REST/SOAP), automate financial workflows, and translate accounting requirements into scalable technical solutions while partnering with business and data teams.

Design, build, and operate scalable hybrid human/machine data labeling platforms for autonomous vehicles. Own end-to-end projects, define platform roadmap, integrate ML-driven annotation, build high-performance UIs/APIs, and collaborate across ML, product, and operations to improve labeling quality and velocity.

As a Principal Machine Learning Systems Engineer, you will lead the development and implementation of machine learning systems and solutions to enhance team collaboration and productivity across Atlassian's software products.

Build and operate production machine learning systems for ranking, retrieval, recommendations, search, propensity, churn, LTV, and next-best-action decisioning. Design reliable signal contracts covering freshness, provenance, confidence, eligibility, and calibration. Lead feature pipelines, model serving, experimentation, monitoring, and feedback loops while evaluating fairness, risk, compliance, trust, and long-term customer impact. Collaborate across product, growth, data, platform, modeling, risk, and compliance teams.

Build and operate production machine learning systems for ranking, retrieval, recommendations, search, propensity, churn, lifecycle intelligence, and next-best-action decisioning. Design reliable signal contracts with freshness, provenance, confidence, and calibration guarantees. Lead experimentation, monitoring, feedback loops, and impact evaluation focused on fairness, trust, risk, compliance, and long-term engagement. Partner across product, growth, data, platform, modeling, risk, and compliance teams.

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.

Lead systems engineering strategy, roadmap development, training, guidance, and cross-functional collaboration across the Space and Mission Systems sector. Mentor systems engineers, facilitate technical discussions, support INCOSE resources and certifications, and present to peers, management, and customers. The role also requires leading multidisciplinary teams and applying systems engineering lifecycle processes, including architecture, requirements, change management, verification, and validation.

Provides hands-on engineering support for integrating Identity and Credential Access Management requirements into enterprise systems and applications. Conducts technical research, ensures hardware, operating systems, software, and procedures comply with ICAM requirements, and documents specifications, configurations, project plans, testing, and results. Communicates complex technical designs and project status to varied audiences. Requires five years of engineering and ICAM integration experience, active Security+ or equivalent certification, relevant technical certification, and an active DoD Secret clearance.