Remote Engineer Jobs
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Provide first-line technical support and remote troubleshooting for conveyor systems to customers and sales teams. Develop technical presentations, training sessions, and accurate Bills of Materials while collaborating with global teams.
The Senior Reverse Engineer will analyze obfuscated user-mode and kernel-mode cheats to prevent tampering and ensure fair gaming experiences. They will also develop automation tools and provide technical guidance to game teams to mitigate security risks.
The Application Engineer will develop motion control solutions, configure and commission drive systems, and provide technical support for industrial automation projects. They will also partner with the sales team to assist in pre-sales activities, customer demonstrations, and the development of technical documentation.
Lead system architecture design and technical strategy across multiple digital products and platforms. Partner with product managers and ministry leaders to translate concepts into clear technical plans while providing mentorship to engineering staff.
The Physical Security Engineer is responsible for the implementation, configuration, and maintenance of physical security systems including access control and surveillance. They also coordinate with internal teams and vendors to ensure compliance with security standards and facility uptime.
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The Junior Physical Security Engineer supports the design, installation, and maintenance of physical security systems across data center facilities. They assist senior engineers with system monitoring, troubleshooting, incident response, and ensuring compliance with regulatory standards.
Provide end-to-end oversight of SAR engineering across the full lifecycle of space missions, including mission concept design and high-level specifications. Lead technical solutions, risk management, and integration efforts while mentoring the team and advising senior management.
Lead the definition, technical risk management, and integration of SAR processors for ground and space segments. Supervise interface development, troubleshoot processing errors, and mentor the engineering team.
The role involves architecting and delivering end-to-end LLM-powered applications and agentic workflows using Python. You will also design RAG pipelines, integrate AI systems with backend services, and establish strategies for performance and reliability.
You will build and scale security infrastructure, including detection pipelines, runtime security for Kubernetes, and reusable security middleware. You will also collaborate with engineering teams to integrate security into the product lifecycle and ensure compliance with regulatory standards.
You will lead technical discovery sessions with hospital systems and design, build, and own production data pipelines to ingest and transform customer data. Additionally, you will troubleshoot integration failures and build reusable connectors to improve onboarding scalability.
You will work across the full stack to build and maintain consumer-facing loan products, underwriting systems, and internal operational tools. Additionally, you will rotate as a project lead to define scope, coordinate tasks, and drive features from concept to launch.
The Principal Software Engineer will own the application architecture, setting technical direction across insurance, claims, and AI systems. They will design scalable partner onboarding processes and mentor squad tech leads to raise the standard of technical design.
Lead and monitor security services engagements while designing, deploying, and automating Cisco security solutions for enterprise customers. Provide deep technical expertise and troubleshoot complex security issues while building trusted advisor relationships to identify business opportunities.
Lead, monitor, and report on security services engagements while designing and automating Cisco security solutions for key customers. Build trusted advisor relationships and assist in the development of customer proposals and statements of work.
The position involves managing a self-hosted ServiceNow platform environment and maintaining the ServiceNow Configuration Management Database (CMDB). The engineer will collaborate with development teams to deploy updates, troubleshoot platform issues, and drive operational innovation.
The Senior Data Platform Engineer will operate and improve a Snowflake-based enterprise data platform, including managing data ingestion, pipeline development, and system observability. They will also lead incident resolution, mentor team members, and ensure the reliability and performance of data workloads in a regulated healthcare environment.
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The Senior Account Sales Engineer is responsible for identifying and closing profitable business opportunities while managing relationships with existing accounts. They will also lead contract negotiations, coordinate product evaluations, and maintain accurate sales forecasting.
Develop and maintain scalable data pipelines using Snowflake, SQL, and Python to support data transformation and analysis. Monitor and troubleshoot data pipelines while optimizing SQL queries and Snowflake workloads for performance and cost efficiency.
You will lead the design and delivery of scalable iOS build and release infrastructure while mentoring team members to foster technical excellence. Additionally, you will collaborate with cross-functional teams to align technical solutions with business goals and optimize app performance.
Design and implement machine learning models and large-scale data processing pipelines in a cloud-native environment. Collaborate with technical and policy teams to ensure model compliance with federal AI governance and documentation requirements.
The AI & Data Governance Engineer will implement governance frameworks for AI agents and data across the Microsoft estate for enterprise clients. This includes configuring Copilot Studio guardrails, managing Purview controls, and building operational playbooks for AI lifecycle management.
The consultant will design and implement governance frameworks for Power Platform, Microsoft 365, and Azure environments. They will also provide hands-on configuration for AI guardrails, ALM processes, and client-facing technical workshops.
The Security Engineer III owns the firewall estate, security architecture, and standards across six properties while personally executing high-risk migrations and technical implementations. They are responsible for maintaining the security posture roadmap, managing vendor relationships, and serving as the technical incident commander for major security events.
The engineer will own the ML infrastructure for governance models, including serving, evaluation, and red-teaming. They will also focus on turning PostgreSQL into a first-class platform for AI agents through continuous improvement and infrastructure development.
The Senior Customer Engineer serves as a technical advisor for Federal customers, driving pre-sales discovery, technical evaluations, and solution architecture. They are responsible for building trusted relationships with agency stakeholders to ensure successful adoption of Collibra platforms and alignment with mission-critical data strategies.
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You will own computer vision capabilities from initial problem definition through field deployment and sustained production performance on edge hardware. This involves building systems for vehicle detection, tracking, and OCR while diagnosing failures across the entire imaging pipeline.
The Lead Sales Engineer will partner with the Enterprise sales team to understand complex data requirements and demonstrate the Fivetran and dbt platform value proposition. They will own technical evaluations, manage proof-of-value processes, and guide customers through dbt Cloud implementations.
The Tech Lead guides software engineering teams in developing features, troubleshooting technical issues, and managing product releases. They are responsible for ensuring high code quality, mentoring junior engineers, and collaborating with cross-functional teams to deliver production-ready features.
Design and deliver production-grade AI agents that investigate, reason, and act on live observability data within the Canvas workspace. Own the full lifecycle of agent development, from initial prototyping to maintaining performance under production traffic.
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