Top Remote Systems Engineer Jobs in Chicago, IL

Build and optimize HubSpot environments across multiple clients, including CRM architecture, data governance, workflows, automations, integrations, APIs, webhooks, migrations, reporting data, and troubleshooting. Audit data quality, resolve integrity issues, establish scalable standards, document systems, and improve CRM reliability and performance within an agency or client-services environment.

Lead the architecture and hands-on development of agentic observability capabilities for Kubernetes and Linux. Build production-quality software, interpret systems telemetry using eBPF, mentor engineers, coordinate cross-team delivery, support open-source initiatives, and participate in on-call operations. The role focuses on safe, observable, and evaluable AI-agent workflows, distributed systems reliability, and technical leadership across engineering teams.

Develop, implement, and test embedded software, firmware, and edge solutions for industrial automation, networking, and real-time platforms. Responsibilities span architecture, implementation, integration, verification, test automation, cybersecurity, and transitioning research prototypes into products. The role collaborates with GE Vernova teams, suppliers, government agencies, national laboratories, and universities on energy and government-funded R&D programs. Candidates may also contribute to FPGA development, industrial protocols, real-time systems, and technical proposals and reports.

Support and maintain physical access control systems across federal field sites. Administer and troubleshoot Gallagher and C•CURE PACS, Windows Server, SQL Server, databases, connectivity, and related hardware. Support deployments, automation, environment maintenance, and on-site issue resolution while documenting recurring problems and solutions. The role requires independent troubleshooting across hardware, software, networking, and infrastructure, along with customer-focused communication and technical support.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Build and operate secure, scalable multi-cloud infrastructure across AWS, GCP, and networking platforms. Develop self-service tooling, infrastructure-as-code defaults, cloud guardrails, and standardized platform patterns. Lead cross-team infrastructure initiatives, technical investigations, and operational improvements while partnering with security, compute, routing, and other infrastructure teams.

Design, build, and maintain core gameplay systems, frameworks, Unreal Engine plugins, and multiplayer networking systems. Own technical architecture, performance, scalability, debugging, and technical debt reduction. Partner with designers and programmers, mentor engineers, lead code reviews and design discussions, document systems, and support sprint planning for an Unreal Engine game project.

Designs and integrates secure information systems, cloud, and defense architectures; leads federal NIST RMF and ATO processes; implements security controls; performs vulnerability, threat, and risk assessments; advises engineering and program teams; and manages continuous monitoring, compliance, audit, and patch-management activities.

Own localization requirements, simulation and track testing, Hardware-in-the-Loop testing, and unit test coverage for autonomous ground vehicle software. Collaborate with autonomy, systems, safety, and hardware teams; review requirements and code; configure localization and safety algorithms; and support systems-level solutions. The role requires source-level C++ understanding, requirements management, safety standards familiarity, and testing across unit, simulation, track, and HIL environments.

Build and scale high-throughput streaming infrastructure that ingests, forwards, and computes on billions of behavioral events in real time. Own projects end to end, solve customer scaling challenges, and influence the technical roadmap. The role focuses on distributed systems capable of processing millions of messages per second with very low latency, supporting real-time personalization and AI-driven marketing products.

Design, build, and optimize distributed systems powering large-scale data synchronization. Responsibilities include improving sync speed, developing real-time streaming capabilities, scaling high-volume and low-latency systems, troubleshooting customer scaling challenges, and supporting multi-region, multi-cloud infrastructure and data residency requirements. The role involves end-to-end project ownership, customer collaboration, system architecture, and reliability improvements.

Lead the architecture and development of high-throughput streaming infrastructure processing over one million messages per second with sub-second latency. Responsibilities include scaling real-time computation, improving caching, designing message deduplication, enabling zero-downtime deployments, delivering customer-focused projects, shaping the technical roadmap, and mentoring engineers.

Own Salesforce and the broader B2B SaaS go-to-market systems ecosystem, including integrations, workflows, automation, data governance, routing, attribution, and data quality. Build scalable processes across Sales, Marketing, Partnerships, and Customer Success; troubleshoot system issues; manage integration pipelines; evaluate new tools; and translate business needs into technical solutions. The role requires strong Salesforce expertise, API and automation experience, analytical fluency, and independent cross-functional collaboration.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Build and maintain accessible, reusable React Native and web components for Rocket Money’s design system. Collaborate with designers and engineers on UI primitives, tokens, patterns, documentation, tooling, motion, and interaction quality. Improve accessibility, testing, adoption, migration support, and developer experience through reliable shared infrastructure, Storybook examples, technical documentation, and code reviews.

Develop, maintain, integrate, test, and support database-driven web applications for VHA ORD programs. Responsibilities include SQL queries and stored procedures, application debugging, functional and regression testing, production troubleshooting, deployment coordination, defect resolution, documentation, and communication with technical and non-technical stakeholders.

Build and operate production AI systems, including LLM-backed APIs, agents, retrieval and RAG workflows, evaluation systems, ingestion pipelines, and data services. Develop reliable data paths connecting customer environments, cloud storage, and compute clusters. Partner with Product and Design to define requirements, make architectural decisions, ship platform improvements, and own post-launch performance across backend services, cloud infrastructure, and occasional UI work.

Designs, deploys, and maintains TIC 3.0 and Zero Trust network perimeter defenses, including Palo Alto firewalls, Cloudflare services, F5 load balancing, VPNs, IPS, NAC, and cloud networking across AWS, Azure, and Google Cloud. The role develops secure, highly available architectures, migrates connections to compliant environments, troubleshoots complex network issues, optimizes traffic and load balancing, maintains documentation, and collaborates with technical and business stakeholders.

Deploys, integrates, operates, and tunes high-performance NFS storage for Kubernetes, GPU, and AI workloads. Responsibilities include CSI integration, Linux and network optimization, storage lifecycle management, air-gapped platform support, infrastructure-as-code, GitOps automation, observability, and troubleshooting distributed storage performance and reliability across hybrid, edge, and bare-metal environments.

Own and modernize Boulevard’s corporate IT environment, including identity, access, endpoints, SaaS applications, device management, onboarding, offboarding, and service delivery. Build scalable operating standards, automation, governance, documentation, metrics, and self-service workflows. Resolve complex technical issues, manage vendors, lead IT programs, and partner with Security, People, Finance, Legal, Engineering, and business leaders on compliance, continuity, and technology strategy.

Leads the full lifecycle development of satellite and aerospace software systems, including requirements definition, systems architecture, trade studies, verification, validation, testing, anomaly resolution, integration, deployment, and operations. Supports spacecraft product roadmaps, customization, cost optimization, and heritage-platform reuse. The role also leads multidisciplinary teams and performs specialized systems analyses across safety, reliability, security, certification, and related engineering disciplines.

Staff-level ML and agent systems engineer responsible for production model lifecycles, multi-step agentic systems, evaluations, retrieval and context engineering, and model cost and latency optimization. The role owns technical direction for Code Understanding products, improves model and agent quality, establishes evaluation and monitoring standards, mentors engineers, collaborates with customers, and delivers reliable AI-powered developer experiences at enterprise scale.

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.

Own and extend Rightway’s commercial systems, especially Salesforce, by building Apex, Lightning Web Components, integrations, automations, and AI-powered tools. Improve commercial data quality, connect systems to the central data warehouse, and deliver solutions for sales and client success teams. The role is the first dedicated commercial systems engineer, with potential to mentor and manage future team members.

Lead the architecture, hydraulic design, documentation, integration, manufacturing readiness, controls coordination, and commissioning of liquid-cooling and mechanical distribution systems for modular AI data centers. Own P&IDs, calculations, equipment and valve schedules, interfaces, standards, and performance validation. Collaborate with thermal, electrical, controls, manufacturing, commissioning, supply chain, OEM, and field teams to create scalable, serviceable, repeatable systems for deployment across multiple sites.