Backend Engineer

• Operate across the stack leading complex backend work
• Build and integrate AI into customer-facing workflows
• Conduct mentorship and code reviews for mid-level engineers
• Collaborate within a small, seasoned team
• Shape engineering judgment and contribute to product decisions

Staff Backend Engineer

• With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work.
• You will support your peers and stakeholders in the product development lifecycle by collaborating across engineering, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
• You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
• You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process.

Software Engineer II, Backend – ML Training, Serving

• Develop Software: Design, write, and deploy high-quality applications built with a Go backend and Plain Vanilla Javascript frontend.
• Build responsive, mobile-first web interfaces using modern HTML, CSS and ES6, ensuring performance and accessibility across all devices.
• Design scalable APIs and data models in Go and PostgreSQL that can handle complex, data-heavy workflows.
• Work closely with product and design to shape features from idea to production.
• Optimize performance and reliability of SQL queries and backend services.
• Team Collaboration: Work closely with product, QA, and operations teams; provide mentorship to junior developers.
• Project Management: Handle multiple projects simultaneously, meet deadlines, and proactively resolve roadblocks.
• Process Improvement: Recommend and implement enhancements, conduct code reviews, and promote best practices in testing and maintainability.

Full-Stack Developer, Go, Javascript

• Design and evolve cloud-native platform architecture on AWS
• Define and implement DevOps standards, including CI/CD, release strategies, and automation
• Lead adoption of Infrastructure as Code (Terraform, CDK, CloudFormation)
• Establish observability and APM standards (Datadog, OpenTelemetry, etc.)
• Design and enforce secure-by-default architectures (IAM, networking, secrets management)
• Drive reliability and scalability across distributed systems
• Design and build the internal agentic platform
• Implement Model Context Protocol (MCP) or similar patterns
• Design agent orchestration patterns (multi-step workflows, tool calling)
• Implement RAG systems using internal data sources
• Establish best practices for prompt design and evaluation
• Build guardrails and safety mechanisms for AI systems
• Integrate agent workflows into internal services and APIs
• Establish end-to-end observability across platform and agent systems
• Optimize performance and cost across AWS and LLM usage

Platform Architect – Cloud, Agentic Systems

• Write high quality and well-documented code according to accepted standards based on business requirements using one or more of the following tools and technologies: Spring Framework, Oracle ADF Framework, Java, JavaScript, SQL, PL/SQL
• Design and implement scalable backend services and RESTful APIs
• Evaluate alternative design approaches to meet business requirements
• Create detailed technical design specification documents that can later be used for programming when required
• Conduct extensive testing to ensure compatibility of the program with Oracle’s version.
• Provide estimates for development items and consistently meet estimate and programming deadlines
• Provide standard product and enhancement support
• If needed, effectively work with other teams to assist with defect resolution
• Provide integrated testing and debugging for new programming tasks/functions
• Collaborate with team members and other departments to find solutions
• Participate in project and team meetings
• Other related duties as assigned

Java Developer

• Help build and maintain modern applications that integrate backend services, orchestration systems, and scalable APIs.
• Work across the stack using Node.js, contributing to backend services and supporting frontend integrations.
• Collaborate closely with senior engineers to enhance existing systems and deliver high-quality features.
• Support the development and maintenance of workflows using orchestration tools.
• Develop RESTful APIs and support microservices architecture.
• Troubleshoot issues in production environments and contribute to logging, monitoring, and debugging efforts.
• Take ownership of assigned features and tasks, delivering end-to-end solutions from UI to API to database.

Senior Fullstack Engineer, Node.js

• Architect scalable, secure D365 F&SCM solutions across Azure, Power Platform, and Dataverse
• Lead technical design, integrations, and modernization (AX → D365)
• Embed AI, Copilot, and automation into finance and supply chain processes
• Design Azure infrastructure (integration, security, data, resiliency)
• Guide development best practices (X++, extensions, DevOps, CI/CD)
• Act as a trusted advisor to clients and mentor global technical teams

Technical Architect, Microsoft D365 F&SCM

• Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources, ensuring reliability, observability, and maintainability.
• Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems.
• Work with event-driven and batch processing architectures, ensuring data freshness and consistency at scale.
• Drive clean API design and integration patterns that support both real-time and batch ingestion while handling diverse authentication mechanisms (OAuth, API keys, etc.).
• Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues, ensuring transparency and reliability.
• Optimize data flows and transformations, balancing cost, efficiency, and rapid development cycles in a cloud-native environment.
• Collaborate with data engineering, infrastructure, and product teams to create an integration platform that is flexible, extensible, and easy to onboard new sources.

Senior Software Engineer, Data Systems – Python

• Own the end-to-end technical architecture of Coinbase's Risk Platform, including real-time fraud detection engines, risk decisioning systems, financial risk monitoring, and mitigation infrastructure operating at high throughput with low latency and 24x7 availability
• Shape multi-quarter technical strategies for the Risk Platform, identifying opportunities to simplify complexity, improve reliability, reduce fraud losses, and scale risk capabilities across new products, asset classes, and jurisdictions
• Lead the design and implementation of critical risk systems, translating ambiguous, high-stakes business requirements into scalable, resilient architectures that balance fraud prevention with user experience
• Partner cross-functionally with Data Science, ML, Product, Compliance, and senior leadership to define the roadmap and ensure the risk platform evolves ahead of emerging threats and regulatory requirements
• Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention
• Strengthen the team's technical capability through architecture reviews, code reviews, engineering standards for quality and performance, and hands-on mentorship of engineers at all levels

Staff Software Engineer, Backend – Consumer, Risk

• Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability
• Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience
• Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls)
• Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention
• Strengthen the team by mentoring engineers, conducting rigorous code reviews, writing technical design documents for complex systems, and championing engineering best practices across the codebase
• Own system quality and operational excellence by proactively addressing technical debt, driving bug triaging, and leading incident response and post-mortems to ensure platform reliability

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