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about 2 months ago
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Requirements and responsibilities
Our partner is building compliance infrastructure for autonomy, transforming unstructured operational data into deterministic, auditable, and replayable outputs. The system operates as a system of record under strict constraints, ensuring consistent and defensible outcomes across varying inputs, customers, and regulatory environments.The Senior Product Engineer is responsible for execution of the core system, including data ingestion, normalization, reporting, and integrations. This role focuses on designing and maintaining a deterministic architecture that ensures correctness, traceability, and resilience at scale. The position is accountable for system behavior under real-world conditions, including failure scenarios, and for maintaining data lineage and architectural integrity as the system evolves.ResponsibilitiesOwn implementation and evolution of core system workflows across data ingestion, normalization, and artifact generationDesign and build data processing and message handling systems to ingest, transform, and validate asynchronous inputs at scaleDefine and enforce architectural patterns to prevent hidden state, schema drift, and customer-specific logic in the core systemMaintain end-to-end data lineage from source inputs through output generationBuild and maintain ingestion and normalization pipelines for multi-source, inconsistent inputsCollaborate with leadership to prioritize and sequence development workParticipate in technical discussions with partners and customers, representing system capabilities and constraintsIdentify reusable integration and system patterns to support scalability and repeatabilityDesign systems that behave predictably under partial data, malformed inputs, and scaling conditionsRequirementsBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experienceMinimum of 5 years of experience building and shipping B2B SaaS, platform, or enterprise systemsExperience owning system architecture and product functionality from design through deploymentExperience building data-intensive or message-driven systems with emphasis on correctness and failure handlingTechnical SkillsProficiency in at least one modern backend language (e.g., TypeScript, Go, Rust, Kotlin, or similar)Experience with PostgreSQL for data modeling and persistenceWorking knowledge of React for internal tools or interfacesExperience with Docker and containerized application developmentProficiency with Git and GitHub workflowsExperience deploying applications in AWS using CDK, CloudFormation, or TerraformExperience with API-driven architectures, data ingestion pipelines, and data normalizationExperience with event-driven systems or message processing architecturesExperience designing backend systems with security, dependency management, and deployment constraintsAdditional KnowledgeFamiliarity with enterprise integration patterns and system interoperabilityUnderstanding of LLM ecosystem, including limitations and security considerationsExperience with multi-tenant systems and data isolation principles (preferred)Experience in regulated or audit-sensitive environments (preferred)Other RequirementsAbility to operate as an individual contributor without reliance on structured product management or detailed specificationsAbility to engage with leadership and external stakeholders in technical discussionsWillingness to work in an early-stage environment with evolving prioritiesAbility to make and defend architectural decisions, including tradeoffs in system design and infrastructure
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