Top Remote Systems Engineer Jobs

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.

Build and maintain automation workflows and integrations across core IT systems, consolidate SaaS tools, improve vendor management and documentation, reduce tech debt, and partner with Security, Compliance, and People Ops to shift IT from reactive support to proactive strategic operations.

Own and administer Salesforce and NetSuite, design and deploy Claude-based agent workflows and automations, ensure data quality and HIPAA-compliant governance, manage integrations and quote-to-cash processes, run sandboxed release/change management, document systems, and coach non-technical teams to adopt and extend AI-enabled automations.

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.

Lead the validation strategy for autonomous vehicle software, mentor team members, analyze autonomous behaviors, and develop testing strategies in this senior engineering role.

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 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.

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.

Template job posting for a Canada-based role at Block. Responsibilities and qualifications are placeholders. The role would support corporate teams (People, Finance, Counsel, Hardware, Info Security, Platform Infrastructure Engineering), collaborating across business groups, time zones, and disciplines to enable company-wide initiatives.

This is an APAC job posting template for Block outlining sections: role overview, responsibilities, qualifications, tech stack, EEOC, application guidelines, AI use in hiring, benefits, and company background. It serves as a reusable framework for hiring across corporate and technical teams.

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.

Lead requirements-based systems engineering for APU control systems: define, decompose, verify/validate system requirements, support architecture and interfaces, apply environmental qualification standards, coordinate cross-functional integration, and support program execution and customer design reviews.

Design, install, and integrate aircraft mechanical systems and components. Create 3D CAD models, installation layouts, and detailed drawings. Manage PLM/BOM data, apply GD&T and tolerance stack-ups, support prototypes and production, perform root cause analysis, and collaborate across disciplines to ensure manufacturable, maintainable aircraft hardware.

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.

Lead the architecture and technical vision for AI-powered GTM systems, defining patterns for low-code and custom agentic pipelines. Build reference architectures, design multi-system integrations and RAG/LLM orchestration, evaluate AI tools, drive governance and observability, and partner with GTM leadership to deliver production-grade, scalable solutions.

Design, build, and operate production ML systems that generate trusted signals for ranking, retrieval, recommendations, propensity/churn/LTV, and next-best-action decisioning. Define signal/data contracts, own feature and candidate generation through serving, experimentation, monitoring, and feedback loops, and evaluate long-term business impact, trust, fairness, and compliance. Partner across product, data, modeling, risk, and compliance and apply AI/agents to accelerate engineering and operations.

Design, build, and support Salesforce CPQ and Quote-to-Cash solutions including product modeling, pricing, quoting, approvals, integrations, custom Apex/LWC/Flow development, performance optimization, testing, and stakeholder enablement to support sales and revenue operations.

Engineer and maintain cloud-based application deployments as as-a-code (AaC) using CI/CD pipelines. Configure, deploy, and troubleshoot tools like TeamWork Cloud, Cameo, and Cassandra; integrate applications with workflow/ticketing systems; develop integration interfaces (Python, PowerShell, Groovy); implement IDAM solutions; build test plans and documentation; and use DevOps tooling (Ansible, Terraform, Jenkins, GitLab). Active TS/SCI with CI poly and DoDD 8140 Security+ CE required.

Lead design and implementation of power system automation for mission-critical facilities. Develop control philosophies, sequences of operations, FDS/SDS, testing and commissioning procedures, validate automation logic, support FMEA and resilience assessments, resolve control conflicts, and contribute to engineering standards and proposals while collaborating with EORs, vendors, commissioning teams, and clients.

The M365 Engineer will administer and optimize Microsoft 365 services in a healthcare setting, manage configurations, and mentor junior staff.

Lead design, implementation, automation, and support of on-premises and cloud enterprise infrastructure. Manage Windows/Linux servers, virtualization, storage, backup/DR, identity services, security hardening/STIGs, patching, monitoring, and incident response while collaborating with cross-functional engineering and security teams.

The Consulting Systems Engineer will provide technical pre-sales leadership, designing and implementing integrated utility solutions, managing customer engagement, and collaborating with partners on operational technology modernization.

Lead architecture and implementation of production-grade multi-agent, LLM-driven systems and developer tooling. Design orchestration layers, integrate/combine commercial and open-source models, establish benchmarking and evaluation practices, mentor engineers, and balance rapid prototyping with long-term scalable architectures for a new browser automation platform.

Lead architecture and implementation of production-grade agentic systems and multi-agent frameworks. Orchestrate LLM workflows, integrate commercial and open-source models, build AI developer tooling, establish benchmarking and evaluation for agent reliability and performance, mentor engineers, and balance rapid prototyping with long-term scalable architecture.

Design, implement, and maintain distributed consensus mechanisms and systems, ensuring scalability and fault tolerance while analyzing performance and debugging issues.