Remote Engineer Jobs
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Design, provision, and maintain cloud infrastructure while automating deployment processes using Infrastructure as Code. Monitor system health and collaborate with engineering teams to ensure reliable, scalable, and secure application delivery.
Own user-facing product interfaces, secure communications, encryption, data architecture, access controls, and audit logging. Deliver features end to end from specification through production, including testing, monitoring, iteration, and contributions to shared code standards.
You will design and deliver medium-to-large features while reducing technical debt and ensuring system scalability. Additionally, you will contribute to the development of APIs, data models, and user interfaces while maintaining high standards for data integrity and security.
Own the technical presales experience for prospective customers across the Americas, including discovery, solution guidance, RFI/RFP responses, and customer product evaluations. Support sales and professional services with solution designs, technical architecture, workflows, presentations, demonstrations, and basic proofs of concept.
Steward ontology definitions and build the mapping, validation, reconciliation, connector, and data pipeline capabilities that bring source systems into the platform. Own source onboarding and production support, including monitoring, troubleshooting, documentation, and collaboration with business users.
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Lead major frontend feature releases and manage the production lifecycle, stability, and performance of product domains. Develop intuitive AI-powered interfaces, collaborate with backend engineers, and improve development practices through AI tools, code reviews, and delivery planning.
Build and ship complex platform features, including versioning systems, approval workflows, and permission models, while contributing to architectural decisions and modularizing the core domain. Conduct architectural code reviews, improve automated quality gates, and help develop AI-enabled engineering workflows such as agentic testing and automated reviews.
Support customer onboarding and sales by explaining Runpod technologies, recommending architectures, and building proof-of-concept solutions. Resolve complex technical issues, coordinate with support, engineering, infrastructure, sales, and product teams, and contribute customer feedback, documentation, and training to improve the platform.
Integrate PLM and cost-estimating tools through APIs and file-system automation, validate CAD and BOM data, and develop cost estimates for vehicle components using production inputs such as materials, labor, and tooling. Analyze data to identify trends and process issues, while managing project milestones, risks, resources, and cross-functional updates to deliver cost models on time.
Design, build, and maintain scalable platform services, managing cloud resources and service boundaries across AWS and Kubernetes. Monitor and optimize system performance, improve development processes, and communicate project status, risks, and issues to stakeholders.
Lead discovery with clinical, technical, and operational stakeholders to scope tailored solutions, assess feasibility, and demonstrate how the Tom platform can address client needs. Develop deal-specific solution blueprints and value cases, contribute to proposals, and ensure disciplined handoffs to implementation and customer success teams.
Manage technical assistance for water and wastewater utilities while overseeing infrastructure design, funding support, and environmental compliance. Lead business development efforts and mentor technical staff to ensure high-quality project delivery and client satisfaction.
The engineer will design, implement, and maintain enterprise-grade observability solutions using Datadog across cloud and on-premises environments. They will also collaborate with SRE and security teams to ensure system reliability, incident response, and compliance with healthcare regulatory standards.
Design and implement automated tests to validate data accuracy and pipeline reliability, including manual testing and automated scenarios written in Gherkin. Review requirements for testability, maintain QA documentation, and collaborate with Data Engineers, QA Engineers, business analysts, developers, and other product teams.
Design, implement, and optimize RPA and BPM workflows, manage Azure database solutions, and develop applications integrating AI, machine learning, and large language models. Provide technical consulting and collaborate with development, operations, and business teams to automate processes, including through low-code/no-code Power Platform solutions.
Develop software using Microsoft full-stack technologies, including C#, .NET, and React or Angular. Work with REST APIs, microservices, Azure, and secure development practices.
Develop and optimize embedded Linux software for Xilinx UltraScale+ platforms, including PetaLinux images, drivers, FPGA interfaces, and performance-critical applications. Support PCB and system bring-up, testing, troubleshooting, documentation, and integration with hardware, FPGA, DSP, and RF teams in lab and field environments.
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Design and develop integrated tactical network and communications systems using SATCOM, terrestrial wireless, and software-defined networking technologies. Collaborate with customers and engineering teams to resolve technical issues, develop system solutions, stay current with industry developments, and brief senior leaders on technical matters.
The AI/ML Engineer will develop, integrate, and maintain AI/ML components within secure, production-grade applications for federal customers. They will also troubleshoot system behavior, resolve defects, and optimize model performance across AI-driven workflows.
Design, develop, and execute performance testing strategies and workloads, then analyze test results, telemetry, and infrastructure data to identify bottlenecks and recommend improvements. Maintain performance testing tools and frameworks, assess scalability and capacity, and collaborate with Engineering, Quality Engineering, Product, and SRE teams to improve platform performance and guide service-level performance ownership.
The Service Engineer I provides remote and on-site technical support, including equipment repairs, installations, and maintenance for customers. They also deliver technical training, troubleshoot complex issues, and collaborate with internal teams to optimize equipment performance.
You will contribute to backend services, data, and machine learning pipelines that support products for commercial insurance underwriters. You will also participate in the design, construction, testing, and operation of production systems at scale.
Design and build browser automations for government portals using agentic AI tools and frameworks like Browserbase. Migrate legacy RPA workflows to an agentic stack while participating in Agile ceremonies and troubleshooting production issues.
Design, develop, maintain, and optimize Linux kernel components for CIQ products, while building and maintaining live-patching infrastructure, automation, and tools. Collaborate with cross-functional and hardware teams, troubleshoot complex kernel issues, review code, document technical decisions, and mentor junior developers.
You will design, build, and operate productive AI applications and agentic systems integrated into existing complex software landscapes. Your role involves technical ownership, ensuring system reliability, and guiding AI-driven solutions from prototype to production.
Design, develop, deploy, and optimize AI solutions—including generative AI, NLP, and predictive models—for healthcare platforms, integrating them into existing systems and processing large healthcare datasets. Monitor model performance, apply MLOps practices, ensure regulatory and ethical compliance, and identify opportunities to automate workflows and improve operational efficiency.
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Define and deliver production-grade agentic AI capabilities for cybersecurity operations, including threat detection, investigations, incident response, threat hunting, and offensive security. Establish architecture and standards for agent reliability, evaluation, testing, and observability while guiding cross-functional implementation and responsible AI use.
Design, engineer, and integrate cloud-based services, infrastructure, and end-to-end solutions that meet mission and technical requirements. Analyze system performance and resolve functionality, configuration, and integration issues while improving the stability, scalability, reliability, and sustainability of cloud systems.
Provide pre-sales technical consultation, solution design, demonstrations, and proof-of-concepts, and lead deployment of enterprise wired, wireless, cloud, and security solutions. Support customers and channel partners after the sale, relay customer feedback to Product Management, and promote secure, cloud-managed networking adoption.
Support new client and facility implementations by coordinating site setup, facility outfitting, layouts, equipment, and readiness actions. Maintain AutoCAD layouts, apply Lean and continuous improvement standards, and work with project, operations, facilities, and procurement teams to deliver optimization projects on time and within budget.
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