About Bridge

We’re creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. 

We have a small team of people who have previously built financial infrastructure at some of the world’s leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb) and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement.

About the Role

As an early member of the Bridge engineering team, you will be given the autonomy to work on projects that are truly global in scale and aim to give customers access to products they've never had access to. Many of the use cases that we work on today didn't exist several months ago and that's because our team is dedicated to constant improvement for our partners and end users. Our Engineers have outsized ownership over projects so if you are looking for increased autonomy working on a completely greenfield opportunity, Bridge is the place for you.

Responsibilities

• Ship software to build out our suite of API products. We’re an engineering and API-first company, and you will learn first-hand and contribute towards building highly reliable, performant, and mission critical infrastructure serving thousands of developers across the globe.

• Take sole ownership of projects, oftentimes without the support of Product Management, and liaise both internally with teams like Legal/Compliance and externally with our partners and developers.

• Look for constant improvements to our product offerings with the explicit goal of improving the experience for our partners and end users.

• Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation.

• Improve engineering standards, tooling and processes for the team and our broader org.

Qualifications

• We are open to hiring engineers at various levels of seniority (SWE through Senior Staff) but at a minimum we are looking for somebody with 5+ years of experience.

• Experience building backend systems with SQL databases. Experience with frameworks such as Rails, Django, Express or equivalent is a bonus.

• An enlarged sense of ownership and the ability to lead and influence the design and direction of our products.

• An ability to thrive in a fast paced environment.

• A growth mindset and a constant curiosity and fearlessness to dive into the unknown.

• An ability to write maintainable, well-tested, modular code, but also be pragmatic about moving fast.

• Excellent written and verbal communication skills, including the ability to write clear technical documentation.

• Past experience working on crypto or financial products a plus, and while not required, we do look for people who are very passionate about building in this space.

• Experience with building API products a plus, but not required.

• Experience working with blockchain or distributed systems a big plus

AI Software Engineer – Cloud AI Platforms

At NICE, we are not just building software—we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you’re excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

What’s the role all about?

As an AI Software Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

How will you make an impact?

• Build and scale AI-driven workflows and automation systems
• Develop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services
• Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
• Work on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestration
• Build and maintain full-stack AI applications using TypeScript, React, and Next.js — from user dashboards and personalized experiences to real-time analytics and interactive tools
• Translate real-world operational problems into automated, intelligent solutions
• Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
• Improve system performance, reliability, and observability
• Build evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvable
• Create reusable platforms and tools that accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity

Key Responsibilities

• Design and develop scalable backend systems for AI-powered platforms
• Build and maintain AI integrations, workflows, and automation pipelines
• Implement REST APIs, microservices, and event-driven architectures
• Design and implement database schemas and queries for complex domains — tracking, engagement, reporting
• Work with both structured and unstructured data for AI use cases
• Contribute to CI/CD pipelines, testing, and deployment automation
• Troubleshoot and optimize production systems
• Collaborate with cross-functional teams to deliver high-quality solutions
• Contribute to reusable frameworks and engineering best practices
• Prototype fast — move from concept to working demo in days, ship incrementally

What we’re looking for

• 5+ years of software engineering experience, strong focus on full-stack web development
• Expert in TypeScript and React — performance optimization, modern patterns (hooks, context, suspense), component architecture
• Production experience with Next.js — App Router, Server Components, API routes, SSR/SSG, edge deployment
• Hands-on experience with LLMs — prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns
• Experience with Vercel AI SDK — unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI
• Model Context Protocol (MCP) — building or consuming MCP servers for extensible AI tool use
• Strong backend fundamentals — Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth
• Solid database design — PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations
• Experience building scalable, distributed systems in cloud environments (AWS / Azure)
• Working knowledge of CI/CD, Docker, Kubernetes
• Familiarity with Tailwind CSS, Radix UI and modern component-driven UI development
• High agency — you operate independently in ambiguous environments, take ownership of problems, and drive them to completion
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, evolving environment
• Communicate effectively with both technical and non-technical stakeholders

Nice to have

• Experience building agentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)
• Experience with Vercel ecosystem — Next.js, AI SDK providers, Turbopack
• Background in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputs
• Experience with sandboxed execution environments for safely running AI-generated code
• Built research tools, experimentation platforms, or scientific software
• Proficiency with Python — FastAPI/Django, data pipelines, ML tooling
• Knowledge of observability tools (Grafana, Prometheus, Sentry, etc.)
• Experience building automation or internal platforms
• Familiarity with real-time features — WebSockets, streaming UX, collaborative interfaces
• Knowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAs
• Experience with alternate JS runtimes — Bun, Deno
• Built open-source tools or platforms with active user communities
• Strong quantitative foundation (math, physics, or related fields)

Representative Projects

Things you might build in this role:

• Interfaces for collecting and managing human feedback on model outputs at scale
• Experiment orchestration platforms — launch, monitor, and analyze complex AI research runs
• Visualization tools that help understand model behavior and identify failure modes
• Reusable components and frameworks that enable rapid development of new AI applications
• Sandboxed execution environments for safely running AI-generated code
• AI-powered personalization engines — tutoring, content generation, adaptive features
• Workflow builders that let non-engineers orchestrate AI capabilities visually
• Enterprise integrations — ServiceNow, Salesforce, Confluence, Jira

The Team You’ll Work With

You’ll enter our engineering interview process as part of a pooled hiring model. We believe in hiring for Carta first, focusing on your core strengths and technical craft rather than a specific team’s immediate gap. 

Staff Engineers at Carta are technical anchors for our business. You don’t just own features, you take long-term accountability for the technical health and strategic direction of different domains. As you move through our process, we’ll transition from the general pool to a team-matching phase. Our goal is to match your unique technical strengths, and personal career interests with our most impactful, strategic challenges. 

Strategic areas you may influence include:

• Platform Data Ecosystem: Shaping how data flows across our entire suite of products to ensure a "single source of truth" for private market data.
• Financial Systems Architecture: Designing resilient, scalable solutions for management fee accounting and multi-currency transactions.
• Engineering Excellence: Defining company-wide standards that reduce operational load and improve developer velocity across dozens of teams.

The Problems You’ll Solve

As a Staff Engineer, you are responsible for the long-term technical health and success of your business unit. You’ll work to:

• Navigate Ambiguity: Tackle the most complex and poorly defined problems at Carta, breaking them down into navigable paths for the rest of the organization.
• Champion Systemic Improvement: Identify and eliminate failure patterns across multiple systems, driving architectural changes that improve scalability and reliability.
• Bridge Technical Gaps: Use your deep understanding of cross-functional domains to align multiple teams on major technical decisions.
• Define the AI Frontier: Lead the charge in transforming how we build by defining the context and building the rails that allow every person at Carta to leverage AI tools safely and effectively. You’ll help move the organization toward a future where AI amplifies our collective engineering impact.
• Uphold Engineering Standards: Set the vision for operational excellence and mentor senior engineers to raise the collective craft of the organization.

About You

• The Tech Stack: You are an expert in building distributed systems. While our primary stack is Python/Django, React, and Postgres, you should be comfortable guiding technical direction across JVM languages, gRPC, and cloud-native infrastructure (AWS). 
• Leadership: You lead through influence rather than authority, acting as a role model for constructive communication and technical discipline.
• Vision: You don't just solve the problem in front of you; you anticipate future roadblocks and build systems that support long-term business growth.

Experience: We recommend 10+ years of professional software engineering experience with a track record of high-level technical leadership.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our expected cash compensation (salary + commission if applicable) range for this role is: 

•  $228,000 - $285,000 in Seattle, WA
•  $240,000 - $300,000 in San Francisco, CA; Santa Clara, CA; New York, NY

We are hiring for multiple levels and locations, so final offers may vary from the amounts listed based on geography, experience and expertise, and other factors.

The Team You’ll Work With

You’ll enter our engineering interview process as part of a pooled hiring model. We’re excited to meet people who are energized by complex, ambiguous problems. We look for owners and problem-solvers who are eager to dive into the details of their craft, and are motivated by building products and experiences that meaningfully expand access to ownership. 

As you move through our process, we’ll transition from the general pool to a team-matching phase, ensuring that by the final interview, you are aligned with a specific team that matches your strengths and career goals. 

High impact domains you might join include:

• Fund Operations: Building the core engine that powers our vision of an operating system for private capital, simplifying complex accounting workflows.
• Investor Reporting: Developing features that enable investment firms and audit partners to share accurate, timely performance data.
• Risk & Compliance: Scaling the infrastructure that ensures security and transparency across billions of dollars in assets.

The Problems You’ll Solve

As a Senior Software Engineer II, you will lead technically complex projects and serve as a multiplier for your team. You’ll work to:

• Drive Implementation: Lead the execution of complex technical projects, driving them from concept to production while maintaining high standards for performance and reliability.
• Simplify Systems: Dig deep into our architecture to identify opportunities to simplify code and infrastructure, prioritizing changes that have a measurable business impact.
• Leverage Modern Tooling: Use the best AI-assisted engineering tools to accelerate your workflow, improve code quality, and spend more of your time solving the high-level logic and unconventional problems 
• Foster Growth: Act as a mentor and coach, raising the technical bar for your peers through diligent PR reviews and architectural guidance.
• Collaborate Cross-Functionally: Partner with product and design to ensure we are building the right solution for the user, not just following a specification.

About You

• The Tech Stack: You have experience with (or a desire to learn) our core technologies: Python, Django, React, Postgres, and Kafka. We also utilize Java, gRPC, and AWS. 
• Execution: You can break down complex user stories into actionable tasks and execute them with minimal guidance.
• Strategic Mindset: You understand the "why" behind your code and can articulate technical trade-offs to stakeholders.
• Experience: We recommend 8+ years of professional software engineering experience for this level.

At Carta, you’re not just an employee. You’re a builder who is creating  infrastructure that accelerates innovation and empowers more ownership. Cartans are helpful, relentless, unconventional and kind; representing Carta’s Identity Traits. They work collaboratively and cross functionally  to challenge the status quo; working towards a common goal of creating more owners in the private markets. 

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our expected cash compensation (salary + commission if applicable) range for this role is: 

•  $201,875 - $237,500 in Seattle, WA
•  $212,500 - $250,000 in San Francisco, CA; Santa Clara, CA; New York, NY

We are hiring for multiple levels and locations, so final offers may vary from the amounts listed based on geography, experience and expertise, and other factors.