
Forward-Deployed Engineer
Posted Jul 28

Posted Jul 28
This is a fully remote position, open to applicants in United Kingdom.
• Collaborate with operations teams and internal stakeholders for extended periods, gaining insight into intricate freight and supply-chain processes.
• Convert vaguely defined business challenges into precise technical solutions, determining when to enhance existing features and when to create new ones.
• Transform manual decision-making processes involving spreadsheets and emails into automated platform logic, increasingly managed by AI over time.
• Design and implement prototypes, automations, and production-ready features, ensuring integration with internal Zencargo services, carrier platforms, and third-party APIs.
• Leverage AI and modern development tools to speed up delivery and integrate them as fundamental components of the solutions developed.
• Work with both structured and unstructured data, including emails, documents, purchase orders, shipment data, and operational events.
• Evaluate and test solutions against actual workflows and user feedback, aiming for reduced manual effort, enhanced accuracy, quicker processing, and streamlined business operations.
• Recognize patterns across various issues and assist in transforming them into reusable platform functionalities.
• Engage closely with Product, Design, and core Engineering teams, as well as Data and Infrastructure teams that will assist in your projects while you maintain delivery ownership.
• Clearly communicate technical decisions, constraints, and trade-offs to both technical and non-technical stakeholders, including executives.
• Uphold high standards for security, reliability, data protection, and maintainability, supporting solutions throughout their implementation and early adoption.
• Extensive professional software engineering experience throughout the entire lifecycle, confident in taking a problem from discovery to independent building, deployment, and operation in production.
• Proficient in at least one modern programming language, such as TypeScript, JavaScript, Python, Java, Kotlin, or C#. Familiarity with Kotlin or Python, our primary languages, is appreciated but not mandatory.
• Experience in developing and utilizing APIs, webhooks, and system integrations.
• Background in working with databases, data models, and event-driven workflows.
• Proficient use of AI-assisted development tools as a central aspect of your development process. This is critical for the role.
• Strong product insight: quickly comprehends unfamiliar business processes, integrates with teams to identify key elements, and distinguishes immediate user requests from the root issues.
• Comfortable navigating ambiguity and making informed decisions without needing perfect requirements, favoring action, experimentation, and iterative delivery.
• Confident in engaging directly with operational users and senior stakeholders, collaborating with Product, Design, Engineering, and our Data and Infrastructure teams, while clearly explaining technical concepts in practical terms.
• Strong sense of ownership, including accountability for whether the solution meets its intended goals, not just for the delivery of code.
• Solid understanding of software quality, observability, testing, security, and maintainable architecture.
• Experience in freight, logistics, or supply chain, or within another B2B SaaS or operational technology setting.
• Familiarity with building workflow automation or orchestration, utilizing tools like n8n.
• Experience with large language model applications and challenges related to unstructured data, such as document extraction or email classification.
• Experience integrating with ERP, transport management, warehouse management, or internal operational systems.
• Background in solutions engineering, implementation, internal tools, or forward-deployed roles, including adapting bespoke solutions into products.
• Knowledge of cloud infrastructure, Terraform, CI/CD, and production support, preferably in early-stage or high-growth environments.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and learning.
• Flexible working hours and remote work options.
• Collaborative and inclusive company culture.
• Access to advanced tools and technologies.
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