Top Remote Systems Engineer Jobs in Los Angeles, CA

Leads pre-sales engineering for strategic enterprise accounts across Northern California. Partners with account managers to design and position networking solutions, deliver technical presentations, demonstrations, workshops, and proofs of concept, and develop proposals and architectures. Acts as a technical advisor throughout the sales cycle, supports demand generation, manages customer and partner relationships, tracks competitive networking trends, and helps opportunities progress through deployment and adoption.

Lead complex presales engagements for Boomi’s API Management solutions across North America. Design API-first strategies, governance models, security policies, developer portals, and enterprise architectures. Advise executive stakeholders on digital ecosystems and business value, lead proofs of concept and RFI/RFP responses, and demonstrate integration between API Management and iPaaS capabilities. The role requires deep expertise in API lifecycle management, gateways, identity and security frameworks, cloud platforms, microservices, service mesh, and event-driven architectures.

Lead systems engineering for a next-generation unmanned aircraft system. Responsibilities include defining system architecture, behaviors, requirements, interfaces, fault responses, and traceability; integrating avionics, autonomy, propulsion, sensors, and mission systems; conducting MBSE modeling, trade studies, safety analyses, flight testing, and performance validation; and coordinating cross-functional teams, DoD stakeholders, and government partners through development and operational deployment.

Build and maintain lead-to-order business systems across Salesforce and connected platforms. Design complex applications, declarative automation, Apex and Lightning solutions, integrations, APIs, data models, and security controls. Remediate technical debt, lead migrations and tool rollouts, manage testing and cutovers, and ensure production systems are observable, documented, and governed. Partner cross-functionally to translate business requirements into scalable solutions while supporting AI capabilities in go-to-market workflows.

Leads enterprise systems engineering across product lines, supporting product lifecycle practices, architecture reviews, modular design, requirements reuse, verification and validation, and design transfer. Partners with engineering teams to improve quality, reduce costs, standardize processes, and identify reuse opportunities. Pilots AI-enabled engineering improvements and promotes digital engineering, MBSE, automation, and continuous improvement across hardware, software, and integrated systems.

Designs and maintains hardware/software systems across the system lifecycle. Develops software requirements specifications, defines system architectures and interfaces, performs MBSE in Cameo, supports formal qualification testing, and participates in technical reviews including SRR, PDR, CDR, and TRR. The role also produces engineering artifacts and supports requirements, architecture, interface, and test documentation.

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.

Leads complex defense and aerospace programs as a senior technical project engineering lead and people manager. Responsibilities include system architecture, integration and verification planning, technical baseline and configuration management, multidisciplinary team and subcontractor oversight, technical reviews, risk management, proposal support, cost estimation, and engineering process improvement. The role interfaces with executives and Department of Defense customers while mentoring and developing engineering staff.

Leads modeling, simulation, and algorithm design for propulsion and aerospace systems while managing a technical engineering team. Develops high-fidelity models, control algorithms, simulation architectures, and system-level performance analyses. Performs controllability studies, trade studies, Monte Carlo and sensitivity analyses, and supports verification and validation. Collaborates with GNC, software, systems, and test teams; authors technical documentation; mentors engineers; and supports customer reviews and technical decisions.

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.

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.

Designs, develops, deploys, administers, and sustains MuleSoft Anypoint Platform and/or Informatica integrations in AWS GovCloud. Builds secure REST APIs and Mule applications, manages API gateways and lifecycle governance, implements authentication, monitoring, CI/CD, and data synchronization, and integrates Navy logistics and mission-partner systems. The role also performs testing, documentation, incident triage, performance tuning, RMF/STIG support, stakeholder coordination, and knowledge transfer.

Lead architecture, integration, deployment, security, and sustainment of the Informatica Data Governance Suite in AWS GovCloud. Design highly available and recoverable infrastructure, implement Infrastructure as Code and CI/CD, establish security and compliance controls, coordinate multidisciplinary engineering work, oversee testing and monitoring, manage technical risks, and transfer operational knowledge to NAVSUP personnel.

Leads solution architecture and engineering for a MuleSoft Anypoint Platform implementation in AWS GovCloud. Designs highly available, secure, recoverable infrastructure; establishes Infrastructure as Code, DevSecOps, CI/CD, monitoring, and configuration standards; guides API and data integration; and coordinates RMF/ATO, STIG compliance, testing, risk management, deployment, documentation, and production sustainment. Provides technical leadership, stakeholder coordination, Government briefings, and knowledge transfer to Navy personnel.

Implements, configures, deploys, and supports software platforms and HL7 interfaces. Troubleshoots operating systems, databases, VPN connectivity, and application integrations; manages customer support tickets, SLAs, documentation, and implementation timelines. Advises customers on technical requirements, collaborates across teams to improve reliability, and participates in an on-call rotation.

Design and build production AI applications for enterprise clients, including data processing, retrieval, APIs, tools, integrations, evaluations, and deployment. Partner with client experts to improve system performance and reliability, support cloud, CI/CD, security, and operational processes, and communicate technical tradeoffs clearly. The role also involves automating internal workflows and helping clients adopt new AI-enabled ways of working.

Designs, implements, manages, and tests technical infrastructure and systems solutions. Gathers and translates business requirements, develops architectural documentation and standards, coordinates vendors, reviews technical work, mentors engineers, troubleshoots complex systems, and ensures compliance with risk, regulatory, audit, and internal control requirements. The role also maintains expertise in banking applications, supported technologies, and industry best practices.

Own and evolve Jira, Aha!, and related product and engineering platforms. Configure workflows, permissions, schemas, dashboards, automations, integrations, and reporting while improving governance, data quality, reliability, and adoption. Partner with Product, Engineering, TPM, Finance, and IT teams to translate business needs into scalable systems. Lead implementations, migrations, platform lifecycle management, troubleshooting, documentation, training, and tooling evaluations.

Supports internal and customer infrastructure platforms through incident triage, systems administration, cloud provisioning, Kubernetes deployments, identity management, monitoring, security hygiene, and runbook execution. The role requires Linux, networking, scripting, Git, cloud, container, and SaaS administration skills, with opportunities to grow into environment builds, configuration changes, compliance work, and platform ownership. It is fully remote, U.S.-based, and supports government-related environments requiring Secret clearance eligibility.

Leads enterprise systems architecture, administration, optimization, troubleshooting, upgrades, and outage response across servers, networks, virtualization, storage, databases, cloud services, and Microsoft 365. Provides technical leadership, supports security baselines, contributes to IT strategy and budgeting, manages projects, and collaborates with vendors and cross-functional teams. Uses and evaluates AI-assisted tools for coding, testing, troubleshooting, documentation, and research while validating outputs for security, privacy, and quality. Occasional business travel may be required.

Own the configuration, administration, data quality, routing, integrations, imports, and operational health of Salesforce and HubSpot for revenue teams. Manage lead and account assignment, HubSpot-Salesforce data flows, audits, bulk updates, issue triage, testing, change management, and documentation. Partner with Sales, Marketing, Customer Success, and Support while communicating system changes and resolving platform issues within defined SLAs.

Serves as the senior technical authority for enterprise network operations and engineering. Architects secure voice, video, wireless, and data networks; develops HLDs and LLDs; integrates Cisco technologies; and leads modernization, automation, risk assessment, and technical decision-making. The role advises customer leadership, resolves complex enterprise issues, validates solutions through hands-on engineering, mentors technical teams, and maintains the enterprise technology strategy and roadmap.

Provide pre-sales technical leadership, solution design, demonstrations, proofs of concept, and deployment support for enterprise wired and wireless networking solutions. Design secure Wi-Fi, switching, routing, cloud-managed, and Zero Trust environments. Support post-sales escalations, channel partners, and customer success while relaying technical feedback to Product Management. Conduct RF planning, deliver technical training, and maintain expertise in enterprise networking trends and competitive products.

Designs, builds, and operates scalable machine learning platforms, pipelines, and infrastructure for model training, deployment, serving, and monitoring. Develops MLOps tooling, CI/CD workflows, model registries, feature stores, and experiment tracking. Ensures production reliability, observability, security, compliance, and cost efficiency across ML systems. Collaborates with product and engineering teams, integrates platforms with existing systems and data sources, and mentors engineers on reusable ML platform practices.