Top Remote Systems Engineer Jobs in Denver & Boulder, CO

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.

Lead the development and implementation of data architecture strategies, mentor a team to deliver solutions, and collaborate with stakeholders to enhance resources while ensuring project success and quality outcomes.

As a Senior Associate, the role involves designing data architecture, collaborating with stakeholders, and mentoring team members while ensuring data quality and implementing solutions using programming languages and cloud platforms.

Lead the design and implementation of data architecture strategies within AI and ML, collaborating with stakeholders to enhance data solutions and ensure compliance with governance policies.

The Senior Cloud & Systems Engineer leads infrastructure modernization, manages cloud workloads, oversees identity governance, administers Microsoft 365, and builds automation tools while ensuring security and compliance.

Lead the design and execution of radar sensing platforms and wireless communication sub-systems, overseeing development, optimizing designs, and ensuring quality and compliance. Collaborate across teams and mentor members while troubleshooting complex issues in RF/mmWave design.

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.

The Principal Engineer will lead the engineering team in building systems across full stack, improving development efficiency, and expanding products in new markets.

The Business Systems Developer leads technical execution for D365 Finance & Operations, ensuring platform stability and quality through hands-on development, oversight of outsourced partners, and governance of best practices.

Build and maintain multi-cloud infrastructure standards, self-service tooling, and paved-road defaults across AWS and GCP. Partner with compute, security, and networking teams to embed guardrails, drive standardization, lead cross-team initiatives, and resolve systemic operational issues to ensure secure, scalable, and reliable platform infrastructure.

The IT Systems Engineer will manage IT operations, support M&A integrations, and optimize Microsoft cloud systems, ensuring reliability and security.

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.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

The Principal Control Systems Engineer will lead complex engineering projects focused on power plant control systems, design and program solutions, and collaborate with teams and clients, while traveling 15-30% of the time.

Support P-8A mission and combat systems engineering: perform CONOPS analysis, requirements decomposition, roadmaps, ECP/TD implementation, troubleshooting, Agile support, create technical documentation, use cases, and software development plans to meet fleet expectations.

Design and build real-time, low-latency distributed systems from concept to production. Own architecture, optimize performance, resolve complex failures, drive technical direction, and collaborate with product and business stakeholders.

The role involves evaluating techniques for fault-tolerant quantum computing, assessing hardware performance, and conducting documentation and reporting for DARPA's QBI team.

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++.

Design, implement, and operate utility-scale battery storage control systems and SCADA infrastructure. Program PPC/HMI/RTU, support plant automation, troubleshoot OT/control system issues, manage network upgrades, participate in field construction and commissioning, and serve as SME while coordinating with internal teams and EPC vendors.

Lead design of data center power architecture (up to ~50MW) from utility interconnection to IT load. Own reliability philosophy, substations, MV/LV distribution, DER/BESS/PV integration, protection/control, FMEA, studies, commissioning oversight, utility interconnection, and lifecycle support across projects and stakeholders.

The role entails building scalable backend services, APIs, and tools that process large datasets, collaborating with engineers and product teams, and maintaining systems for data pipelines and messaging solutions.

Design and develop scalable backend services and APIs for Censys' data platform, processing large datasets and collaborating with teams to ensure effective product development.

The Platforms Engineer designs, configures, and maintains server infrastructure for a Red Hat OpenShift Virtualization environment, focusing on performance, security, and lifecycle compliance, while deploying and supporting both Windows and Linux server systems.

Design and operationalize data architectures, instrumentation, and analytical frameworks to support SEO and AI-driven discovery. Partner with data engineering and BI to build reliable datasets, monitoring, and automation. Prototype and productionize LLM-based workflows and agent-like systems, translate marketing needs into scalable decision systems, and document assumptions and processes.