• The Full-stack Software Engineer will build the work needed to implement functionality from the product backlog. • Tests deliverables against a user story’s acceptance tests and unit tests; • The Full-stack Software Engineer will execute necessary documentation as directed or needed. • Works closely with other team members to ensure that features meet business. • Analyze and decompose complex user stories and epics into manageable tasks. • Collaborate with project managers and team members to plan and estimate sprint tasks. • Offer expertise in architectural and design decisions, as a subject matter expert in SQL, C#, .NET, REST, JSON, and Angular(or React) technologies. • Guide and mentor junior developers, fostering their growth and understanding of industry best practices. • Craft high-quality, scalable, and secure code. • Conduct thorough code reviews (PRs) to uphold code quality and adherence to design principles. • Identify, troubleshoot, and enhance existing software solutions. • Collaborate closely with engineers, product managers, and stakeholders to maintain clear communication and streamline workflows. • Communicate technical concepts effectively to non-technical team members. • Facilitate team code reviews, training, and planning sessions. • Operate effectively in high-stress environments, managing multiple priorities concurrently. • Quickly adapt to changes in requirements or technologies. • Maintain composure and clarity of thought under pressure.

• Design and implement Agentic AI systems that power Coinbase’s customer support experience and compliance processes • Design a platform (primitives, orchestration platform, tools, etc.) that would allow other domains to quickly leverage Agentic AI to automate their processes • Interact with stakeholders in many different organizations that build Coinbase products or are responsible for financial operations • Participate in shaping of the strategy and execution path of Coinbase Platform • Manage individual projects priorities, deadlines and deliverables with your technical expertise • Mentor and train other team members on design techniques and coding standards • Write high quality, well tested code to meet the needs of your customers

• Evolve a modern, AI-first quality strategy for our fast-scaling SaaS architecture, including foundational infrastructure and emerging agentic/intelligent systems. • Integrate AI enhancements into CI/CD pipelines (e.g., predictive flakiness detection, automated test generation, self-healing scripts) to improve isolation, data setup, & execution reliability using existing/suggesting tools. • Establish scalable testing practices that support hyper-growth and petabyte-scale AI data pipelines. • Design deterministic and statistical testing approaches for non-deterministic LLM-based and agentic systems, addressing hallucinations, prompt injection, bias, drift, and safety risks. • Build automated evaluation pipelines and harnesses for correctness, faithfulness, retrieval quality, generation accuracy, tool-calling, planning sequences, and multi-agent flows. • Execute/Develop test frameworks for the full AI lifecycle: prompts, datasets, embeddings, model versions, RAG pipelines (end-to-end validation), and guardrails. • Implement red-teaming, bias/fairness checks, and compliance mechanisms; leverage in-trend frameworks for metrics and observability. • Partner closely with product, data science, AI engineering, and dev teams to test AI features, conduct multi-agent simulations, and ensure high-quality roadmap delivery. • Facilitate knowledge sharing and upskilling on AI testing best practices across the Quality Function. • Drive core metrics (DORA, test coverage/effectiveness) plus AI-specific indicators (e.g., hallucination rate, context precision, drift detection). • Build real-time dashboards and support A/B testing of models with post-deployment monitoring. • Champion a quality-first, ethical AI mindset organization-wide. • Mentor SDET’s, lead workshops on AI risks/validation, and influence design/deploy/incident processes. • Define roadmaps and best practices for sustainable AI quality assurance.

• Lead engineering effort for new and ongoing substation projects. • Support multiple projects simultaneously. • Work closely with NV5 Substation Engineering leadership to ensure project success. • Prepare conceptual designs and execution plans. • Perform and document quality reviews for other engineers and designers. • Prepare construction drawings, documents, calculations, and studies for medium and high voltage substation projects. • Responsible for technical delivery of power delivery engineering projects or tasks. • Prepare calculations, studies, and reports for substation and power systems projects meeting internal and client standards and requirements.