Remote Engineer Jobs
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You will design and implement scalable data architectural solutions while collaborating with cross-functional teams to support business growth. Additionally, you will oversee code and infrastructure standards, ensure data governance, and tackle complex technical challenges within a high-performing SWAT team.
Provide technical and operational support to enterprise customers by resolving product-related issues and managing cloud environments. Collaborate with development and implementation teams to perform testing, validation, and performance analysis for product releases.
The Senior Data Engineer will lead the database design, security implementation, and production migration for a federal data integration program. Responsibilities include defining metadata standards, implementing FIPS 140-compliant encryption, and managing data schema harmonization within a cloud data lakehouse.
Design, build, and maintain reliable microservices and scalable Angular UI applications within a large-scale distributed architecture. Lead and mentor junior engineers while driving technical initiatives and leveraging AI tools to improve development efficiency.
Design, develop, test, and implement software solutions while optimizing existing systems for performance and scalability. Collaborate with cross-functional teams to troubleshoot technical issues and ensure adherence to secure coding standards.
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The ASIC Design Engineer will implement advanced ethernet protocols and define micro-architecture specifications for next-generation ASICs. They will also collaborate with physical design and verification teams to ensure timing optimization and comprehensive test coverage.
The engineer will participate in the development of UVM environments to verify RTL at block, unit, and SoC levels. They will also be responsible for writing and executing tests, instrumenting test benches for coverage, and performing formal and post-silicon verification.
The AI Engineer will design, build, and scale production-grade AI systems while providing technical leadership and mentorship to the engineering team. They are responsible for defining system architectures, implementing ML pipelines, and ensuring the reliability and performance of AI platforms.
The Enterprise Solutions Engineer acts as the primary technical leader for sales cycles in the TOLA territory, bridging the gap between complex cybersecurity challenges and business outcomes. They are responsible for delivering product demonstrations, architecting solutions, and supporting enterprise customers through the sales process and initial implementation.
You will focus on refining product functionality to deliver an exceptional user experience by ensuring consistency and implementing performance improvements. You will collaborate with a global team of engineers to build scalable solutions for the insurance industry.
The Senior Intelligent Automation Engineer will design, develop, and deploy complex, scalable UiPath solutions while integrating with various enterprise systems. They will also act as a technical guide for junior engineers and assist the Tech Lead with code reviews and performance optimization.
The Sales Solutions Engineer will quantify energy savings opportunities and assist the sales team with proposal generation and financial modeling. They will conduct site surveys, analyze utility data, and interface with operations to ensure optimal energy solutions for commercial customers.
You will build and operate foundational systems, including continuous integration infrastructure and Kubernetes-based ephemeral environments, to enable efficient software development. Additionally, you will develop reusable APIs and automation tools to improve developer productivity and platform reliability across the organization.
Design and deliver production-grade AI agents while managing the full Agent Development Life Cycle from pilot to deployment. Partner with large enterprises and startups to solve complex business challenges and guide the evolution of the core platform.
The Senior Solutions Engineer will lead technical discovery and deal shaping for strategic accounts, focusing on AI governance, container security, and software supply chain integrity. They will act as a trusted advisor to technical stakeholders, driving technical wins through architectural guidance, workshops, and competitive selling strategies.
Design and develop high-performance parsers and data structures that integrate with large language models. Conduct research into advanced compiler technology and symbolic methods to ensure reliable and efficient model outputs.
Develop end-to-end full-stack AI-powered product features, including frontend interfaces and backend systems for generative AI tools. Collaborate with the engineering team to implement LLM-powered features and improve the performance and reliability of the codebase.
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The SDET will design and maintain automated test frameworks for SaaS web applications while collaborating with cross-functional teams to ensure product quality. They are responsible for defining the automation strategy, mentoring junior engineers, and integrating testing processes into CI/CD pipelines.
The Application Engineer will lead complex technical application activities, including system performance optimization and customer technical reviews. They are responsible for defining support plans and managing the implementation of solutions throughout the product work cycle.
The engineer will lead the end-to-end integration of PCIe controllers into complex SoCs and drive performance optimization across the PCIe stack. They will also lead silicon bring-up, validation, and debugging efforts while collaborating with cross-functional teams.
Define and drive the overall SoC-level verification strategy, including technical planning and the development of UVM environments. Collaborate with cross-functional teams to ensure design quality while providing leadership and mentorship to team members.
You will own the full product lifecycle, from pre-sales discovery and technical scoping to implementation and delivery of voice AI solutions. You will lead a small delivery team while building and shipping agentic pipelines that integrate with external telephony and AI services.
You will design, develop, and maintain scalable data integration pipelines to support analytics, reporting, and product capabilities. You will also collaborate with cross-functional teams to ensure data accuracy, reliability, and performance across the organization.
The Analytics Engineer will own financial metrics, reporting, and reconciliation by transforming subscription and transaction data into actionable business insights. They will also develop forecasting models and automated reporting systems to support the CFO and board-level decision-making.
Design, develop, and maintain production-grade Java microservices while leveraging AI coding agents to accelerate development and refactoring. Collaborate with cross-functional teams to modernize legacy systems and ensure the reliability and security of domain-oriented services.
You will serve as the primary technical resource for ANZ accounts, leading technical validations and product demonstrations to close complex sales opportunities. Additionally, you will collaborate cross-functionally with Product Management and Engineering to refine the service based on customer feedback.
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The Infrastructure Deployment Engineer leads end-to-end hardware deployment projects across global data centers, including rack-and-stack, cabling, and provisioning. They also coordinate cross-functional teams and develop automation scripts to improve deployment efficiency and consistency.
The Kubernetes Engineer is responsible for managing and orchestrating containerized applications to ensure system scalability, reliability, and performance. They will support cloud-based microservices architectures in AWS EKS and collaborate with development teams to maintain secure and efficient environments.
The Senior UNIX System Engineer manages, maintains, and troubleshoots a mixed environment of Red Hat, Oracle, and Solaris systems. They are responsible for planning hardware and software implementations, monitoring system performance, and ensuring compliance with security standards.
You will build and maintain highly-available, scalable distributed services and data pipelines to power internal APIs and external applications. You will collaborate with machine learning engineers and security researchers to develop tools and infrastructure that support Internet-wide data collection and analysis.
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