Remote Engineer Jobs
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Own corporate security telemetry, detection content, and incident response, improving coverage and reducing alert noise while defending against account takeover, token theft, malicious OAuth grants, and data exfiltration. Build and evaluate LLM-driven triage workflows, strengthen endpoint, identity, SaaS, and Google Workspace controls, and partner with Engineering and AppSec to improve product detections and secure the corporate-to-production boundary.
Resolve escalated customer issues involving product configuration, workflows, data, and integrations, and escalate complex cases to Tier 3 or Engineering with thorough documentation. Maintain customer communication and service levels, create support documentation, coach first-line support, and identify recurring issues and improvement opportunities.
Design and scale backend services, data pipelines, and transactional systems supporting procurement and manufacturing supply chain operations. Build and productionize AI-powered agents and integrations, while establishing reliable event processing, monitoring, and incident response practices.
The Verification Engineer will develop and maintain robust RTL verification environments using UVM to ensure the functionality and quality of complex digital designs. They will also execute coverage-driven verification plans and collaborate with RTL design engineers to debug issues and drive verification to closure.
Serve as the technical point of contact for customer pre-sales engagements, coordinating meetings, assessing requirements, and creating and presenting tailored solution demonstrations. Document solution strategies, respond to RFPs, collaborate with sales, services, and development teams, and support effective customer handoffs and continuous process improvement.
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Design, build, and execute maintainable automated tests while defining test strategy, tooling, and quality initiatives across feature teams. Partner with Engineering, Product, AI, and customer-facing teams to improve quality metrics and support secure development practices for sensitive and regulated data.
Engineer, implement, and operate an enterprise unified endpoint management solution for Windows endpoints on a classified network, including MECM infrastructure, software updates, and application deployments. Lead complex systems engineering and testing work, guide junior engineers, and coordinate cross-functional projects and stakeholder engagement.
Deliver electrical projects through design, production, and construction, including overseeing or producing design and construction documents. Coordinate with the project team to ensure drawings and specifications are aligned with design intent and comply with applicable regulations, codes, and industry standards.
Oversee technical infrastructure strategy and delivery across a portfolio of teams, including technology selection, proofs of concept, vendor coordination, resource efficiency, and cost optimization. Provide technical leadership, mentoring, escalation support, and cross-team alignment while advancing technology roadmaps and resolving complex issues.
Design, implement, and maintain Linux-based infrastructure and distributed systems supporting USAP production operations, including RHEL, OpenShift, virtualization, backups, monitoring, and secure configurations. Automate and document infrastructure operations, collaborate across technical teams, mentor junior staff, and provide escalation support in a 24x7 rotation.
Own and operate 15Five’s cloud infrastructure, databases, CI/CD pipelines, reliability, security operations, and AI platform, including incident response and disaster recovery. Deliver infrastructure and AI projects, support engineering and business teams, and maintain documentation and operational practices.
Build and optimize Power BI dashboards, reports, data models, and advanced DAX calculations to turn complex data into actionable business insights. Design and maintain scalable data pipelines and data platforms, while managing security, governance, performance, refreshes, and end-user requirements through implementation.
Develop and execute a territory sales strategy to grow revenue by identifying new industrial customers and projects, recommending mobile filtration solutions, and managing opportunities through proposal, negotiation, and close. Conduct customer site visits and technical presentations, coordinate with internal teams to support successful delivery, maintain CRM and forecast records, and represent DESOTEC at industry events.
Build and maintain automated pipelines that consolidate, validate, and govern customer, item/equipment, vendor, and location master data across ERP, CRM, and Microsoft Fabric systems. Establish data standards and ontology, manage auditable master-record workflows, document lineage and definitions, and report data quality and pipeline performance.
Lead the modernisation of Cazoo’s Azure-based platform by designing and delivering cloud-native, event-driven services, retiring legacy systems, and owning the roadmap for core platform capabilities. Contribute hands-on code and technical reviews while improving developer experience, platform reliability and operational standards, mentoring engineers, and establishing responsible practices for AI-assisted development.
Manage the provisioning, maintenance, auditing, and renewal of demo environments used by Sales, Customer Success, Partner Enablement, Professional Services, and Technical Support. Ensure environments are preconfigured with integrated, ready-to-use company products.
Lead structural engineering work across multiple concurrent projects from initial concept through bid documents and construction administration, managing design priorities and the technical quality of project deliverables. Coordinate with clients and multidisciplinary teams, mentor junior staff, conduct field surveys and site visits, and support construction administration through submittal and RFI reviews.
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Design, build, and operate cloud-native validation, testing, and release platforms, including Kubernetes-based infrastructure, automated pipelines, observability, and quality gates. Lead cross-team architecture and reliability initiatives, resolve complex platform challenges, and mentor engineers while promoting automation and operational excellence.
Develop production-grade software for autonomous platforms, contributing directly to coding and system design while collaborating with R&D to turn concepts and prototypes into robust, high-performance products. Analyze and optimize software for efficiency, portability, and scalability, and integrate developer software with robotic systems, sensors, and other hardware.
Monitor and investigate security alerts across cloud, endpoint, and SaaS environments, and lead incidents through containment, recovery, root-cause analysis, and reporting. Improve detection coverage and response procedures through detection engineering, threat hunting, security log management, and collaboration with Engineering, DevOps, and IT.
Own and operate high-throughput backend services for the SMB acquisition funnel, using Kotlin and Go and building resilient event-driven systems with Kafka. Scale integrations with Salesforce, HubSpot, and Segment; improve observability and reliability; and collaborate with business stakeholders and engineering peers on architecture, delivery, code reviews, and mentoring.
Operate and maintain multi-cloud environments using Infrastructure as Code and Site Reliability Engineering principles, while developing automation and CI/CD infrastructure and scripts. Improve observability and resilience across cloud environments, support security governance, and assess and onboard FedRAMP cloud services using security best practices for identity and access management and networking.
Build and maintain backend services in Go, improve existing services, investigate issues, and contribute to product features. Collaborate with other teams and experienced engineers on backend architecture and complex system development while gradually taking on more ownership.
Own and deliver Portfolio experiences for balances, holdings, and profit-and-loss across web and native mobile, building performant, accessible interfaces for real-time financial data. Partner with backend, design, and product teams to take ambiguous work from scoping through rollout, while improving frontend architecture, quality, and team engineering practices.
Develop hands-on expertise in Brightspace and D2L products, support sales opportunities through needs analysis, tailored demonstrations, presentations, and proposal writing. Create technical materials, share field feedback with product teams, and coordinate internal subject-matter experts while engaging with prospects and customers.
Develop hands-on expertise in Brightspace and D2L products, then support sales by analyzing prospect needs and designing suitable solutions. Prepare and deliver tailored demonstrations and presentations, contribute to proposals and technical materials, and share field feedback with product teams while engaging internal experts as needed.
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Assist with maintaining cloud infrastructure, infrastructure-as-code, CI/CD pipelines, monitoring, security controls, and disaster recovery, while responding to support issues and participating in the Tier 2 on-call rotation. Collaborate with development, operations, and security teams, document procedures, contribute to incident analysis and runbooks, and support platform improvements and smaller projects.
The QA Automation Engineer will design, develop, and maintain automated testing frameworks across UI and API layers while integrating them into CI/CD pipelines. They will also define testing strategies, perform functional and regression testing, and monitor quality metrics to ensure release reliability.
Lead deployment, lifecycle management, and ongoing improvement of the multi-prem platform across cloud, bare-metal, air-gapped, and regulated customer environments. Automate and secure deployments, maintain Kubernetes clusters and container pipelines, keep customer-hosted releases aligned with SaaS, and support troubleshooting, upgrades, documentation, and platform architecture.
Own and model Eve’s go-to-market data and metrics in the warehouse and semantic layer, establishing trusted definitions for pipeline, funnel, campaign, and revenue measures. Set certification and modeling standards, resolve conflicting metric definitions, build AI-enabled data tools, and mentor analytics engineers and analysts.
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