Systems Engineer
Drive growth in the SecOps and SASE space by designing go-to-market strategies and building a high-quality sales pipeline. Collaborate with partners, resellers, and internal teams to close opportunities and ensure customer success.
23 Systems Engineer jobs in Mexico available for remote work from home. Apply for positions such as Systems Engineer, Automotive Systems Engineer (ISO 26262) - Remote, Sr. Systems Engineer, Datacenter Cloud Services and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Drive growth in the SecOps and SASE space by designing go-to-market strategies and building a high-quality sales pipeline. Collaborate with partners, resellers, and internal teams to close opportunities and ensure customer success.
Support the automotive product development lifecycle by applying ISO 26262 functional safety processes and creating safety work products. Collaborate with cross-functional teams to implement safety requirements and conduct root cause analysis for safety issues.
The Senior Systems Engineer will design, deploy, and maintain hybrid cloud and on-premises infrastructure while resolving complex technical incidents. They will also develop automation solutions and provide technical guidance to ensure operational efficiency and security compliance.
The Power Systems Engineer will conduct modeling and analysis for transmission planning, including steady state and dynamic models for renewable and conventional generation. They will also assist in generation interconnection applications and guide clients through the ERCOT interconnection process.
The role involves designing and implementing Manufacturing Execution Systems (MES) to improve information management and business analytics. Responsibilities include performing technical analysis, defining functional requirements, and managing the full lifecycle of MES solution development projects.
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Design, build, and operate core cloud infrastructure and networking across GCP and AWS to support Zillow Rentals. Focus on maintaining Kubernetes platforms, implementing Infrastructure as Code, and improving system observability and reliability.
Assist in the setup, maintenance, and troubleshooting of server, storage, and cloud infrastructure across AWS, Azure, or GCP. Develop automation scripts and integrate Generative AI tools to improve operational workflows and system reliability.
Develop evaluation criteria and review system logs to improve the reliability and quality of AI-generated code. Refactor code and test systems for vulnerabilities to enhance how AI models optimize software performance.
The Lead Implementation Support Engineer provides technical and operational leadership for the deployment, configuration, and stabilization of manufacturing applications. They serve as the primary escalation point for complex issues and partner with cross-functional teams to translate production requirements into effective technical solutions.
The Lead Technical Support Engineer provides technical and operational leadership for the implementation team, overseeing the deployment, configuration, and stabilization of manufacturing applications. They serve as the primary escalation point for complex issues and partner with cross-functional teams to translate production requirements into effective technical solutions.
Provide Level 2 technical support for enterprise manufacturing applications by resolving escalated issues and troubleshooting complex technical problems. Collaborate with Engineering, DevOps, and Operations teams to monitor production environments and contribute to incident response and documentation.
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Provide Tier 2 technical support for enterprise applications by diagnosing and resolving escalated production incidents. Collaborate with engineering and DevOps teams to maintain system stability, monitor performance, and improve support processes through documentation and automation.
Design and implement backend services and APIs using Python and Django while modeling clean database schemas. Implement complex algorithmic logic for scoring, ranking, and routing to turn product ideas into technical endpoints.
The role involves building production-grade agentic workflows and LLM-powered systems while managing data pipelines and semantic context layers. You will also be responsible for establishing evaluation practices, observability, and providing technical leadership to clients.
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