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Engineering Tech Lead

Yotpo

Tel Aviv Remote permanent

Posted: December 4, 2025

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Quick Summary

As an Engineering Tech Lead, you will be responsible for leading the technical direction of the engineering team, ensuring the successful implementation of Yotpo's AI-powered Reviews and Loyalty solutions, and driving the growth of the company's eCommerce ecosystem.

Job Description

Yotpo is leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, Yotpo delivers seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth.

Your Mission at Yotpo As an Engineering Tech Lead, you are the technical compass for your group, bridging the gap between high-level architectural vision and on-the-ground execution. You will drive the technical roadmap and set the standard for engineering quality while maintaining a strong hands-on presence.

Your goal is to act as a catalyst for continuous improvement—dedicating significant time to coding and POCs while leveraging your expertise to mentor engineers, drive cross-R&D initiatives, and align technology decisions with critical business objectives.

Key Responsibilities

• Technical Roadmap & Strategy: Plan and align the technical roadmap for your teams, collaborating closely with product stakeholders to ensure that architectural decisions support long-term business goals.

• Hands-on Execution: Lead from the front by maintaining a strong hands-on presence. You will build Proofs of Concept (POCs), contribute to complex feature development, and solve the hardest technical challenges alongside your team.

• Mentorship & Knowledge Transfer: Act as a force multiplier. You will lead technical forums, facilitate workshops, and personally mentor engineers to foster their ownership and technical growth.

• Cross-R&D Leadership: Play an active role in the R&D Tech Leadership forum, driving engineering-wide initiatives, setting standards, and influencing technical decisions across the organization.

• Operational Excellence: Champion a culture of quality. You will drive improvements in reliability, security, scalability, and cost-efficiency.

• Efficiency & Innovation: Drive operational efficiency by promoting internal tooling, enforcing technical standards, and adopting AI-driven solutions (like GitHub Copilot) to reduce toil and improve the developer experience.

• Modernization & Backlog Ownership: Own the technical health of your domain. You will actively manage the technical debt and modernization backlog, working with the Product Manager to prioritize and schedule essential architecture and system health improvements.

What You Bring

• Your Mindset:

• Builder's Mentality: You don't just design systems on a whiteboard; you actively participate in the code.

• Force Multiplier: You use tools to do more with less, and you teach others to do the same.

• Your Experience & Qualifications:

• Must Haves:

• 7+ years of experience as a senior engineer or technical leader in high-growth, data-driven environments.

• Full-Stack Fluency: Deep hands-on experience with modern backend stacks (Java, Node.js, Python) and frontend frameworks (React, Angular, or Next.js).

• Infrastructure Mastery: Strong proficiency with Cloud Native environments (AWS preferred), Kubernetes (K8s), Terraform, and managing complex CI/CD pipelines.

• Modern Tooling Proficiency: Fluency with coding assistants (e.g., GitHub Copilot, Cursor); you treat them as a "pair programmer" to deliver production-grade software faster.

• Architectural Depth: Proven ability to design and evolve microservices, event-driven architectures, and distributed systems, applying principles like Domain Modeling, DDD, and Clean Architecture.

• Preferred / Bonus:

• Data Engineering: Familiarity with Kafka, MySQL/PostgreSQL, Redis, and big data tools (Spark, Databricks, Snowflake).

• AI & DevX: Experience integrating AI coding assistants (LLMs) and building internal developer tooling to boost velocity.

• Experience with experimentation frameworks (e.g., LaunchDarkly) and static analysis platforms (e.g., SonarQube).

#LI-Hybrid

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