Backend Engineer
Design, develop, and implement high-quality software solutions using .Net and C# technologies within an Agile framework. Manage database systems and ensure seamless integration and deployment through CI/CD pipelines.
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Design, develop, and implement high-quality software solutions using .Net and C# technologies within an Agile framework. Manage database systems and ensure seamless integration and deployment through CI/CD pipelines.
You will architect and implement test infrastructure while driving the overall quality strategy across the engineering team. Additionally, you will mentor junior engineers and optimize CI/CD pipelines to ensure scalable and high-performance testing.
The Data Engineer - Snowflake Administrator is responsible for the secure, reliable, and well-governed administration of the Snowflake platform. This includes managing access, implementing security configurations, automating administrative tasks, and supporting data governance processes.
The Data Engineer designs, develops, and maintains reliable data pipelines, transformations, and models to support analytics and operational workflows. They collaborate with cross-functional teams to translate business requirements into secure, scalable, and high-quality data solutions.
The Elevated Engineer serves as a technical advisor to enterprise lending clients, focusing on the delivery, stabilization, and optimization of mortgage technology solutions. This role involves resolving complex production issues, leading cross-functional teams, and guiding clients through platform integrations and workflow improvements.
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You will build and configure Linux-based IoT and edge systems while developing device-to-cloud communication pipelines for telemetry and automation. Additionally, you will manage device lifecycles, including provisioning, monitoring, and OTA updates for smart building technologies.
The Senior Security Engineer will partner with engineering teams to design, implement, and review secure architectures and controls across the development lifecycle. They will also manage security monitoring, investigate security events, and lead vulnerability management efforts to protect the company's financial infrastructure.
You will develop and maintain core capabilities for the Elastic Defend management experience, including policy configuration and forensics workflows. You will collaborate with cross-functional teams to build scalable, high-performance systems using AI-powered development practices.
You will develop and maintain core capabilities for the Elastic Defend management experience, including policy configuration and forensics workflows. You will collaborate with cross-functional teams to build scalable, high-performance systems while leveraging AI to enhance development processes.
You will develop and maintain core capabilities for the Elastic Defend management experience, including policy configuration and OSquery-based forensics. You will collaborate with cross-functional teams to build scalable, high-performance features that enhance security workflows.
You will build and maintain core capabilities for the Elastic Defend management experience, including policy configuration and response actions. You will collaborate with cross-functional teams to develop scalable, high-performance systems using AI-driven development practices.
You will develop and maintain core capabilities for the Elastic Defend management experience, including policy configuration and OSquery-based forensics. You will collaborate with cross-functional teams to build scalable, high-performance features while utilizing AI to enhance development and problem-solving processes.
The Senior DevOps Engineer will design, implement, and maintain scalable cloud-based infrastructures across AWS, GCP, and Azure while managing CI/CD pipelines. They will also provide strategic DevOps recommendations, monitor system performance, and lead incident management efforts to ensure high availability.
You will lead the design, development, and delivery of complex full-stack software systems while mentoring other engineers to foster technical excellence. The role involves collaborating with cross-functional teams to build performant, scalable solutions and championing best practices in AI-assisted coding and system observability.
The Cloud Engineer is responsible for the design, deployment, and maintenance of secure Microsoft cloud infrastructure, including O365 and Azure environments. They will lead migrations, automate deployments using CI/CD pipelines, and provide expert technical support to resolve complex client issues.
You will design, build, and own end-to-end product features while working across frontend, backend, and data boundaries. You are expected to take ownership of projects from problem definition through production rollout and long-term maintenance.
You will design and build advanced AI agent infrastructure to automate subscription management and paywall creation for developers. This involves managing orchestration, tool execution, and evaluation pipelines while collaborating with product teams to drive feature rollouts.
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Design and improve the core orchestration engine for managing Supabase branches and ephemeral build environments. Implement scalable job scheduling and observability tooling to ensure reliable pipeline execution.
The Senior Database Engineer will design, build, and optimize enterprise data solutions using Azure and Microsoft Fabric, including lakehouse and warehouse architectures. They will also lead the development of AI-ready data products, implementing RAG workflows and ensuring robust data governance and security.
The role involves administering and optimizing enterprise Big Data platforms and their underlying infrastructure using automation and AI-assisted tools. You will be responsible for managing Linux systems, databases, and containerized environments while ensuring high availability and performance.
The Azure Platform Engineer will participate in cloud infrastructure projects and manage the operation and support of Azure platforms. Responsibilities include providing L2/L3 support and ensuring effective cloud governance and security.
Design, develop, and maintain scalable solutions for high-traffic fintech systems using C# and modern .NET. Collaborate with cross-functional teams to translate business requirements into maintainable software architectures.
Design and maintain automated test suites while evaluating AI/LLM-powered features and agent workflows. Partner with product and engineering teams to define testing strategies and ensure overall product reliability.
Design, build, and own end-to-end product features that serve thousands of developers and millions of end-users. Collaborate with the product team to scope, prioritize, and drive the rollout of high-quality software solutions.
You will manage compute capacity planning, forecasting, and provisioning systems to ensure infrastructure supply meets demand across all regions. This involves building automation for fleet reconciliation, capacity alerting, and optimizing compute costs through right-sizing and workload consolidation.
The role involves actively searching for new customers and developing business opportunities while maintaining strong client relationships. You will serve as an expert in the application of low voltage motors, providing technical and commercial solutions and managing the offer process.
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You will be responsible for managing the user data lifecycle and ensuring the quality of identity services through automated testing. This includes developing test projects, maintaining automated test suites, and integrating them into CI/CD pipelines.
The Applied AI Research Engineer will conduct hands-on experimentation with emerging AI technologies to define practical engineering standards for the organization. They will formulate hypotheses, evaluate AI model outputs, and convert findings into actionable recommendations for delivery teams.
The Forward Deployed AI Engineer embeds within project teams to assess needs and implement AI tools that create measurable value. They facilitate workshops, provide technical support, and contribute reusable playbooks to ensure teams can sustain AI practices independently.
Design and develop backend systems and APIs using Node.js to power the AI Builder platform. Own backend services end-to-end, including architectural decisions, performance optimization, and collaboration with cross-functional teams.
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