Staff Engineer - Data & AI at Traild Software

Tel Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

03 Oct, 26

Salary

0.0

Posted On

05 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, AI Agent Workflows, System Design, GCP, API Development, DevOps, Scalable Infrastructure, Fintech, Data Engineering, Mentoring, Full-stack Mindset, AI-accelerated Development

Industry

Financial Services

Description

Staff Engineer – Data & AI Traild: Who are we? Traild is a high-growth SaaS company redefining how finance teams operate, combining AI, automation, and payments infrastructure to power the future of B2B finance. Every year, businesses lose billions to fraud, errors, and mistakes. Traild exists to solve this at scale, helping finance teams move faster, stay in control, and operate with confidence. With rapid customer growth, global expansion across APAC, North America and EMEA, and continued investment in product innovation, we are at a defining stage of our journey. This is an opportunity to help shape the next category leader in finance automation, control and security, building technology that transforms how businesses manage, move, and protect money. At the core of this is a powerful AI-driven platform, enabling finance teams to deploy intelligent agents that do the work, surface risk in real time, and continuously improve how financial operations run. Traild is building the infrastructure behind modern finance, protecting and powering meaningful volumes of the world’s B2B transactions. If you’re excited by high growth, real ownership, and building something that matters, Traild is the place to do the most impactful work of your career. The Role As a Staff Engineer, you’ll play a leading technical role across our Data & AI domains — agent workflows, close management, and data & network. You’ll design and build the foundational systems that power these products, working on high-impact, mission-critical services and helping set the technical bar for the team. What you’ll do: * Own features end-to-end – Take ideas from early concept through production across agent workflows, close management, and data & network. You won’t just write code — you’ll ship real systems, iterate quickly, and see the impact of your work in production. * Think beyond the task – Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role. * Leverage AI-accelerated development practices – Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure. * Backend-focused, full-stack mindset – Your core focus will be backend systems across agent workflows, close management, and data & network, but you’re comfortable operating across APIs, data, infrastructure, and DevOps when needed. * Mentor and guide the team – Support and mentor engineers, and guide architectural decisions to raise the technical bar across the team. * Partner across stakeholders – Work closely with Product and Engineering Management to ensure alignment on mission, prioritization, and team focus. Be a focal point for engineering questions, bringing a business mindset and a clear understanding of our goals. * Design for scale – Build backend services that are reliable, maintainable, and architected to scale with the platform. What you will bring: * 8+ years of professional software engineering experience, with a strong backend focus * Proven experience building or operating large-scale systems in fintech, AI-driven products, or high-volume data environments * Experience owning mission-critical systems where low latency, correctness, and high availability are essential * Proven track record of taking products and systems from 0 to 1, balancing speed, quality, and innovative problem-solving * Strong builder mindset with experience taking complex systems from idea to production and scaling them in production * Comfortable operating across the stack when needed, from APIs and business logic to infrastructure and deployment * Deep experience building and operating systems on GCP * Modern engineering mindset, leveraging automation and AI tools to increase impact and velocity * Strong communication skills and ability to collaborate effectively in small, senior teams

Responsibilities

Lead the design and implementation of foundational systems for AI agent workflows, close management, and data networks. Mentor engineers and partner with product management to scale mission-critical backend services.