Top Remote Systems Engineer Jobs in Denver & Boulder, CO

Implements and supports client desktop, server, networking, security, backup, and cloud technologies in an MSP environment. Provides second-level service desk escalation, remote troubleshooting, onsite support, project engineering, documentation, ticket management, status reporting, and client communication. The role owns resolution time, customer satisfaction, utilization, and SLA metrics while maintaining certifications and adapting to new platforms.

Designs and maintains enterprise data integrations, metadata pipelines, APIs, workflows, data models, catalogs, and governance solutions. Resolves data quality and interoperability issues, documents technical processes, and collaborates with developers, data stewards, analysts, and governance stakeholders. Independently manages technical workstreams from requirements through implementation, testing, troubleshooting, and documentation. The role requires SQL, relational database, data modeling, cloud platform, API, and structured data experience, plus eligibility for a Secret clearance and DoD CAC.

Provide independent systems engineering oversight for defense software modernization programs. Review architectures, requirements, verification and validation plans, trade studies, system integration, deficiencies, configuration management, and major technical reviews. Support system-of-systems integration and advise Government stakeholders across the acquisition lifecycle, including ensuring compliance with MOSA principles and managing technical risks in a multi-contractor environment.

Lead advanced electric power systems studies covering load flow, transient stability, short-circuit, electromagnetic transients, grid modernization, renewable resources, and T&D equipment applications. Manage projects, develop models and software tools, analyze and visualize data, prepare technical reports and proposals, support generator testing and validation, train colleagues, and present findings to customers and industry organizations. The role also contributes to business development, technical publications, standards application, and equipment specifications.

Investigate and resolve complex Tier 3 customer and production issues across Windows endpoints, cloud services, APIs, networking, and application data. Reproduce issues, analyze logs and source code, identify root causes, validate fixes, and coordinate with Engineering, QA, Product, Support, and Customer Success. Build troubleshooting automation, improve monitoring and observability, and document technical findings and known issues.

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 development and maintenance of internal design system libraries, tools, and Figma plugins. Implement AI solutions to speed design workflows, own medium-to-large features end-to-end, run internal user research, provide support and on-call coverage, conduct design and code reviews, and collaborate with designers and engineers to drive technical strategy and adoption.

Develops and executes satellite integration, verification, and validation activities across Flatsat, HWIL, SWIL, and simulator environments. Responsibilities include requirements traceability, test planning, automated TCL scripting for TERMA CCS5, formal test conduction, troubleshooting, data analysis, and test reporting. Supports satellite architecture, CONOPS, interface documentation, and requirements development while coordinating multidisciplinary engineering activities.

Lead design, implementation, and maintenance of system architectures across applications, infrastructure, and cloud platforms for federal IT modernization. Provide technical leadership, ensure performance, reliability, and integration, produce documentation, and collaborate with DevOps, security, and stakeholders within Agile teams.

Lead engineer in GE Vernova's Grid Integration and Stability practice performing modeling, transient and steady-state studies, and equipment modeling for inverter-based resources, batteries, FACTS and power electronics. Create and parametrize simulation models, assess grid code compliance, support customers, contribute to standards groups, present findings, and participate in industry forums.

Architect, deploy, and operate highly available multi-cloud infrastructure across AWS and Azure. Manage Kubernetes, Linux systems, databases, caching platforms, CI/CD pipelines, infrastructure as code, observability, security, incident response, and performance optimization. The role also requires automation with Python and Bash, comprehensive documentation, client collaboration, and participation in a 24/7 on-call rotation.

Provides advanced remote IT support, systems administration, infrastructure troubleshooting, and technical escalation across client environments. Administers Microsoft 365, Windows Server, identity systems, Azure, networking, virtualization, endpoint management, and cybersecurity technologies. Mentors junior engineers, resolves complex tickets, maintains documentation and change controls, supports infrastructure initiatives, and evaluates emerging technologies. The role requires remote availability during West Coast Pacific Time business hours and effective communication in a managed services environment.

Designs and maintains automation scripts for network provisioning, application deployment, CI/CD integration, regression testing, and server monitoring. Deploys applications to WebLogic and JBoss, supports development-to-production transitions, and builds proactive alerting for server and application health using Python, Bash, and shell scripting.

Founding Engineer responsible for building FilmoreAI’s production AI and data platform for construction equipment dealers. The role covers agent infrastructure, model routing, LLM extraction and reasoning, canonical data modeling, entity resolution, Python data pipelines, Azure cloud orchestration, evaluation, observability, and safe human-approved write-back. The engineer will work independently in an ambiguous startup environment and use agentic development tools to ship reliable systems with strong cost, latency, accuracy, and operational guardrails.

Administer and maintain MECM infrastructure for a federal customer, including cloud/hybrid deployments. Perform software packaging and deployment, OSD imaging, patch management via WSUS, monitoring, troubleshooting, automation with PowerShell, Intune/co-management integration, compliance with federal security standards, documentation, and Tier II/III support.

Build and maintain invoicing, reimbursement, revenue recognition, claims, and financial reporting models using SQL and dbt. Reconcile merchant, operational, warehouse, and accounting data; investigate variances; validate expenses; and establish automated financial controls. The role also triages data issues, investigates production APIs, supports audits, partners on merchant configuration, and drives upstream fixes through root-cause analysis and automation.

The Senior Systems Engineer I will develop and enhance mobile applications for cardiac health solutions, collaborating with engineers and cross-functional teams to ensure compliance with standards and successful project delivery.

Build and operate security research infrastructure, including static and dynamic malware analysis pipelines, YARA tooling, sandboxing environments, threat indicator enrichment, and graph-based intelligence systems. Develop ingestion pipelines connecting scan data with external threat feeds, ensure reliability and observability, and securely isolate malicious samples. Partner with threat researchers and detection engineers to create scalable production systems, while documenting architecture and operational procedures.

Designs, deploys, and integrates secure enterprise applications, identity solutions, APIs, middleware, and cloud or on-premises services. Develops Zero Trust architectures aligned with NIST, FISMA, and organizational security standards. Implements authentication and authorization using IAM technologies, documents system workflows and dependencies, troubleshoots complex integrations, embeds security controls, and supports audits and compliance activities. Requires strong systems integration, networking, enterprise security, leadership, communication, and documentation skills.

Designs and maintains system architectures across applications, infrastructure, and platforms. Provides technical leadership, translates requirements into scalable and secure solutions, optimizes reliability and performance, supports system integration, and collaborates with development, DevOps, security, and business stakeholders. Maintains technical documentation and participates in Agile delivery and continuous improvement. Preferred experience includes federal contracts, migrations, Ansible, Linux, Red Hat, cloud platforms, DevOps, CI/CD, and secure system design.

Provide technical support and hands-on delivery for integrating ICAM requirements into DLA enterprise systems and applications. Conduct infrastructure research and development, ensure hardware and software compliance, document technical specifications, project plans, configurations, test plans, and results, and communicate complex designs and project status to varied audiences.

Build and operate core data infrastructure for edge and hybrid environments, including ingestion, OT/IoT integrations, real-time streaming, data contracts, schemas, validation, lineage, observability, telemetry, and scalable query access. The role requires production ownership, reliability practices, customer integration, and collaboration across engineering and customer-facing teams. Candidates should have 6+ years of experience with production data, streaming, or integration systems and proficiency in Python and/or Go.

Build backend services and distributed systems for a cybersecurity and software supply chain security platform. Develop scalable APIs, data pipelines, and platform components handling vulnerability, container, package, runtime, and SBOM data. Work across Linux, Kubernetes, containers, and cloud environments while solving concurrency, performance, reliability, and distributed processing challenges. Own projects from design through deployment, participate in architecture discussions, review code, and collaborate with security researchers and product teams.

Build backend architecture and infrastructure for LLM-driven agent systems, including orchestration, tool integration, context management, evaluation, observability, and production deployment. Develop services connecting AI models with insurance data and platform APIs, define reliable AI-native architectural patterns, and collaborate with product, design, and engineering teams to deliver underwriting workflows.

Build and maintain reliable data pipelines, APIs, integrations, and event-driven or batch processing systems. Transform data from advertising, ecommerce, order management, and event sources while improving monitoring, freshness, performance, and scalability. Collaborate with data engineering, infrastructure, product, and business teams to extend the integration platform in a cloud-native, multi-tenant environment.