Software Engineer 13 applicants
You will build and maintain features across the full stack, including backend, frontend, and AI pipelines. You will also work closely with the CTO to debug production systems and solve real user problems.
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You will build and maintain features across the full stack, including backend, frontend, and AI pipelines. You will also work closely with the CTO to debug production systems and solve real user problems.
You will build and ship end-to-end product features across the frontend, backend, infrastructure, and AI pipelines. Additionally, you will own technical architecture, engineering standards, and the development of AI evaluation practices.
You will design and deliver improvements to Wikipedia's wikitext processing infrastructure while balancing performance, maintainability, and user experience. Additionally, you will collaborate with cross-functional teams to iterate on new features and maintain internet APIs using server-side scripting languages.
You will design, build, and maintain scalable backend systems for the e-commerce platform while participating in architecture proposals and cross-team collaboration. Additionally, you will provide rotational after-hours support to resolve critical system issues and ensure high-quality production code.
You will design and maintain CI/CD pipelines while managing infrastructure, containerized workloads, and observability on Azure. Additionally, you will collaborate with the data engineering team to execute safe database migrations and document production systems.
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The role involves architecting scalable operational infrastructure and deploying AI-driven automation to streamline loan processing and sales workflows. You will build and maintain a centralized company knowledge base while optimizing handoffs between sales, setup, and processing departments.
The role involves scaling and tuning high-throughput MariaDB clusters while strengthening high-availability and disaster-recovery procedures. You will also build automation to reduce manual operational work and partner with service teams to improve database performance and reliability.
Develop and quality control NONMEM PK/PD datasets using SDTM and ADaM standards to support pharmacometric modelling. Collaborate with cross-functional teams to ensure high-quality data delivery for regulatory submissions and maintain departmental R tools.
The Centralized Services Engineer manages and optimizes internal and client-facing IT infrastructure, focusing on cloud systems, automation, and backup solutions. They serve as a critical escalation point for helpdesk issues and oversee user onboarding and offboarding processes.
The Platform Engineer will design, build, and operationalize Kubernetes-based platforms across various customer environments. They will also serve as an escalation point for support teams and drive continuous improvement through automation and DevSecOps practices.
The Senior Auditor will lead and support external client audits of ICON, including scheduling, preparation, and hosting. They are also responsible for managing CAPAs, conducting quality issue investigations, and ensuring compliance with GCP and regulatory requirements.
The Lead Business Value Delivery Architect will oversee the end-to-end solution design and delivery, ensuring alignment between client business outcomes and platform capabilities. This role bridges presales and delivery, managing non-functional requirements and migration strategies while holding internal teams and clients accountable to agreed success criteria.
Develop and validate R programs for the statistical analysis and reporting of clinical trial data. Collaborate with biostatisticians to ensure high-quality outputs and regulatory compliance for clinical studies.
You will manage and optimize the company's HubSpot CRM, databases, and operational workflows to ensure business efficiency. Additionally, you will identify opportunities for automation, maintain KPI reporting, and provide administrative support across various business functions.
The Principal Solutions Engineer will guide enterprise customers through AI readiness initiatives and manage the technical lifecycle of large-scale data transformations. This role involves designing scalable architectures, executing proof-of-value engagements, and ensuring production success through performance optimization and stakeholder alignment.
Build and maintain full stack SaaS applications using Node.js and JavaScript while integrating AI-assisted workflows. Collaborate with product and engineering teams to translate complex logistics and trucking workflows into scalable technical solutions.
Design and maintain semantic context layers including knowledge graphs and ontologies to inform AI agent behavior. Develop full-stack features and integrate RPA agents to enable context-aware automation and real-time data visibility.
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The AI Engineering Lead will design, build, and scale intelligent solutions and automated workflows to improve operational efficiency and farmer impact. They will also lead the full lifecycle of AI-enabled projects while mentoring a team of engineers to drive organizational adoption of new technologies.
You will define the technical strategy for the data environment and mentor the analytics engineering team to build and maintain reliable data models. You will also collaborate across departments to ensure data architecture aligns with business goals and organizational standards.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
Design and build reusable platform capabilities for LLM applications, AI agents, and RAG workflows. Develop secure integrations and establish standards for AI deployment, observability, and lifecycle management.
The Market Developer will drive the growth of insurance offerings across assigned markets by identifying new opportunities and building strategic partnerships. They will also coordinate cross-functional projects and analyze market dynamics to support commercial performance and product adoption.
Build and maintain data pipelines and dbt models using Medallion architecture to support business intelligence reporting. Collaborate with international team members to enhance data warehouse infrastructure and develop mentoring skills.
Design, implement, and operationalize Microsoft Fabric platform foundations using cloud engineering best practices. Manage environment deployments, CI/CD pipelines, and security controls while collaborating with data and architecture teams.
Manage and optimize three Shopify websites, including two e-commerce storefronts and one wholesale catalog site. Proactively identify site issues, handle large-scale product launches, and support the scaling of B2B trade programs.
You will deliver quantitative and mixed-method insight programs while synthesizing diverse evidence to solve complex client business problems. Additionally, you will apply advanced analytical approaches and leverage AI tools to improve project outcomes and contribute to business growth.
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Design, develop, and maintain scalable front-end and back-end features while ensuring system reliability through testing and performance tuning. Collaborate with cross-functional teams to deliver high-quality software solutions and provide production support for existing applications.
You will design, develop, and deploy custom Salesforce solutions using Apex, LWC, and OmniStudio to streamline financial operations. Additionally, you will integrate Salesforce with legacy financial systems and implement robust security models to ensure regulatory compliance.
The developer will build and maintain front-end interfaces and back-end logic for an internal CRM platform while managing automation workflows and database integrations. Additionally, the role involves providing first-line technical support to end users and maintaining comprehensive documentation for all development tasks.
The AI Product & Experience Lead owns the AI roadmap across HR technologies, ensuring AI is integrated into employee journeys, workflows, and product architectures. This role bridges the gap between technical AI teams and business stakeholders to deliver scalable, governed, and high-value AI-enabled employee experiences.
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