Flinks

Full-stack Engineer

• Own product features end to end - design, build, test, deploy, and support features across both the Angular front end and the C#/.NET back end, taking responsibility for the complete user experience.
• Build exceptional client experiences - create performant, accessible, and intuitive interfaces that help customers confidently work with complex financial data, from dashboards and visualizations to onboarding and transaction workflows.
• Design and evolve APIs - build reliable, well-documented REST APIs and data contracts that are secure, scalable, backwards compatible, and easy for internal and external consumers to integrate with.
• Write production-quality software - contribute clean, maintainable, well-tested code while continuously improving architecture, performance, reliability, and operational excellence.
• Collaborate across disciplines - partner closely with Product Managers, Product Designers, QA, Data Science, and fellow engineers to translate business problems into technical solutions that deliver measurable customer value.
• Own production outcomes - monitor, troubleshoot, and improve the systems you build using observability tools, testing, and continuous delivery practices to ensure a reliable customer experience.
• Raise the engineering bar - provide thoughtful code reviews, mentor other developers, share technical knowledge, and help improve engineering standards across the team.
• Leverage AI as a force multiplier - use AI-assisted development to accelerate implementation while applying sound engineering judgment, thoughtful system design, and strong problem framing to deliver the right solutions.

Senior Full-Stack Developer

Product Manager

• Own and prioritize backlogs (bugs, risks, improvements), ensuring critical issues are addressed first.
• Lead the process of triaging, organizing, and ranking issues with inputs from QA, Support, Product, and Engineering.
• Translate product features into clear projects with defined deliverables and milestones.
• Validate and approve features before release, focusing on core flows, usability, and risk management.
• Collaborate cross-functionally with engineers, designers, project managers, and product managers to deliver high-quality experiences.
• Act as the main point of contact for quality standards, validation strategy, and testing expectations across teams.
• Own the cohesion, accuracy, and ongoing updates of internal product documentation, playbooks, and test case repositories.
• Support product operationalization by embedding new features into tools, reporting, and internal enablement.

Product Quality Owner

Data Engineer

• Own and evolve the data platform - the BigQuery warehouse, dbt transformation layers, Airflow / Cloud Composer orchestration and Pub/Sub ingestion that feed every model and metric.
• Build and operate the ML platform - training pipelines (Kubeflow on Vertex AI), model serving (FastAPI behind Vertex endpoints), CI/CD, containerization and typed contracts.
• Take operational ownership of model-serving infrastructure so reliability isn't carried by the data scientists alone.
• Harden and standardize the data models the business depends on - improving schemas, fixing data-quality issues and establishing trustworthy source-of-truth feeds.
• Establish data governance and observability - bring data that lives outside the warehouse under proper governance and build operational metrics for products that don't yet have them.
• Standardize how data engineering is done across product lines - patterns, tooling and pipelines other teams can adopt.
• Partner across data science, backend and product on the producer to consumer contract (models produced by data science, consumed/aggregated downstream, surfaced to clients).

Senior Full-Stack Developer

Product Quality Owner

Senior Data Engineer