Software Architect jobs in Tel Aviv-Yafo

The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow. Meet Nuvei, Nuvei is the global fintech building the infrastructure for every payment, everywhere. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, offer all payout options, and benefit from card issuing, banking, risk, and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 52 markets, 150 currencies, and over 720 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally through one integration. At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey! Your Mission The Agentic Engineering Architect serves as a senior technical leader and authority responsible for advancing agentic software engineering and establishing Agentic Delivery Lifecycle (ADLC) capabilities as a core engineering discipline. The role will define standards, governance models, platforms, evaluation frameworks and reusable capabilities required to scale agentic-native software development. You will be partnering with Engineering, Product, Enterprise Architecture, Platform Engineering, Information Security, Data, DevOps, and AI teams. Key Responsibilities • Agentic Architecture and Technical Leadership • Define engineering standards and best practices for agentic delivery. • Define and evolve the Agentic Architecture. • Lead lighthouse implementations and mentor engineers from other teams. • Evaluate emerging models, frameworks and agentic platforms. • Create engineering accelerators and implementation playbooks. ADLC Ownership and Evolution • Define and continuously improve ADLC standards. • Establish delivery patterns, control gates and certification requirements. • Own enterprise evaluation frameworks and agentic engineering harnesses. • Define benchmarking, regression testing and security evaluation standards. • Establish auditability, traceability, observability and rollback requirements. • Embed ADLC controls into CI/CD and operational platforms. Agentic Platforms and Developer Experience • Define requirements for enterprise agentic platforms. • Guide the adoption of Code Agents. • Define model routing, context management, memory services and AI gateways. • Establish platform security, observability and resiliency requirements. Agents, Skills and MCP Ecosystem • Define standards for approved agents, approved skills, workflows and MCP services. • Establish enterprise registries and certification frameworks. • Define prompt governance and lifecycle management. • Guide onboarding, monitoring, optimisation and retirement processes. Governance, Security and Responsible AI • Define controls for hallucinations, prompt injection and insecure code generation. • Protect intellectual property, data and regulated workloads. • Define responsible AI requirements and risk acceptance processes. • Lead incident reviews and corrective actions. Engineering Transformation and Adoption • Create adoption playbooks, academies and communities of practice. • Define capability models and career frameworks. • Measure adoption and maturity outcomes. Value Realisation and Cost Management • Track productivity, quality, release frequency and developer experience. • Measure effectiveness of agents, skills and workflows. • Optimise token usage, model routing and platform efficiency. Requirements • 10+ years of software engineering experience. • 5+ years in SW architecture roles. Proven SW Architecture experience in the Agentic domain. • Experience in technical leadership • Deep expertise in ADLC, cloud native architecture, CI/CD, and observability. • Expert proficiency with Code Agents and Agents Frameworks. • Experience building evaluation harnesses, benchmarking systems, and governance frameworks. • Pragmatic, data-driven, and outcomes-focused. • Champion of engineering excellence and responsible AI. Nuvei is an equal-opportunity employer that celebrates collaboration and innovation and is committed to developing a diverse and inclusive workplace. The team at Nuvei is comprised of a wealth of talent, skill, and ambition. We believe that employees are happiest when they’re empowered to be their true, authentic selves. So, please come as you are. We can’t wait to meet you. Benefits: • Private Medical Insurance. • Hybrid working model (office and home). • Global bonus plan. • Volunteering programs. • Prime office location near the Tel Aviv train station. ***Our recruitment process may use automated tools, including AI, to support application management and candidate shortlisting Benefits

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: Zenity is looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform. What You’ll Do Responsibilities: • Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems. • Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies. • Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions. • Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence. • Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices. Requirements Requirements: • 7+ years in a senior technical leadership role (Principal Architect, Staff Engineer, Lead Engineer, or equivalent) with a strong track record of designing and delivering production systems. • Deep expertise in large-scale distributed systems, data processing pipelines, and cloud-native architectures. • Strong background in cybersecurity and secure system design; experience in SaaS or cybersecurity products is a significant advantage. • Hands-on experience building, deploying, and scaling AI-native applications and agentic workflows in enterprise production environments. • Proven track record implementing scalable agentic architectures, agentic orchestration frameworks, and evaluation pipelines for production AI systems. • Experience managing latency, cost, reliability, and security considerations when serving AI/Agentic workloads at scale. • Familiarity with agentic AI frameworks and modern AI-native engineering, including coding agents and AI-assisted software development. • Experience designing and building multi-tenant SaaS platforms with strong isolation and scalability characteristics. Familiarity with Bring Your Own Cloud or similar deployment models in enterprise environments. • Excellent communication and technical leadership skills, with the ability to influence architecture and collaborate effectively across multiple engineering teams.

Description Personetics is shaping the Cognitive Banking era, harnessing AI to help banks anticipate customer needs, provide actionable insights, and deliver intelligent financial guidance. Our platform continuously analyzes and leverages real-time transactional data, enabling banks to proactively support customers in managing their finances and reaching their goals. As industry leaders — yes, we really are leaders — we partner with the world’s top financial institutions, empowering over 150 million customers monthly across 35 global markets from offices in New York, London, Singapore, São Paulo, and Tel Aviv. About the position We are looking for a Senior Software Architect to help define and evolve the architecture of our SaaS platform and core products. You will work closely with product, delivery, and engineering squads to design scalable, reliable systems, set technical direction, and guide teams in making high‑quality architectural decisions that balance delivery speed with long‑term sustainability. This is a hands‑on, senior technical leadership role: you will spend most of your time shaping architectures with teams, reviewing designs and critical code, and driving shared standards and patterns across the organization, all in an advance agentic environment. Responsibilities Architecture & technical leadership • Define and evolve the architecture for key domains in our platform (APIs, services, data flows, integration, observability, security). • Translate business and product requirements into clear, pragmatic technical designs and architecture roadmaps. • Create and maintain architecture artefacts: diagrams, decision records (ADRs), reference implementations, and guidelines. • Evaluate design options and technology choices, articulate trade‑offs, and lead the decision‑making process with stakeholders. • Push forward the agentic mindset and implementation. Working with squads (R&D) • Partner with squad leads and senior engineers to design solutions, break down complex problems, and keep implementations aligned with the target architecture. • Participate in design / tech reviews, ensuring non‑functional requirements (performance, resilience, security, operability) are addressed early. • Provide hands‑on support where it matters most: spike and prototype critical flows, review complex pull requests, and help debug tricky production issues. Partnering with Product • Collaborate with Product to shape technical feasibility, sequencing, and scope for roadmap items and cross‑squad initiatives. • Communicate complex technical topics in simple language to non‑technical stakeholders when discussing roadmap options and trade‑offs. Standards, reuse, and platform mindset • Define and promote architecture principles, coding standards, and reusable patterns (modules, libraries, services) that reduce duplication and technical debt. • Champion platform thinking: design services and components that can be safely reused across teams and products. • Drive adoption of shared platform capabilities (observability, CI/CD, authentication, data, DevOps tooling) across squads. Quality, reliability, and continuous improvement • Ensure architectures are observable, operable, and resilient by design; partner with DevOps/SRE on deployment, monitoring, and incident response. • Identify areas of high technical debt or architectural risk and lead structured remediation initiatives. • Help define and track technical KPIs (e.g., performance, reliability, incident volume) tied to architecture decisions. Mentoring and leadership • Act as a technical mentor and sounding board for senior engineers and tech leads, helping them grow their architecture skills. • Foster a culture of thoughtful design, documentation, and constructive technical debate. • Lead by influence rather than authority: you help teams make better decisions instead of making every decision for them. Requirements • 8+ years of experience in software engineering, including several years in a senior / staff / architect role designing complex systems. • Strong experience with modern backend and distributed architectures (microservices or modular monoliths, event‑driven patterns, robust APIs). • Solid understanding of cloud‑native architecture (e.g., AWS/Azure/GCP), containers, and infrastructure‑as‑code practices. • Proven ability to design for scale, performance, security, and reliability in production SaaS environments. • Hands‑on experience with at least one major language and ecosystem used in our stack (e.g., Java, Python, Node.js, or similar). • Proven agentic experience – as hand-on experience and as architecting GenAI systems • Comfortable reading and reviewing code, guiding implementation, and occasionally building prototypes or reference implementations. • Experience working with product teams in an agile / kanban environment; able to balance long‑term architecture with near‑term delivery. • Strong communication skills: can explain complex technical concepts clearly to engineers and non‑engineers. Nice to have • Experience with financial services, B2B SaaS, or integrations with large enterprise customers (e.g., banks). • Background in data platforms, analytics, or ML‑adjacent systems. • Familiarity with domain‑driven design, event sourcing, or CQRS patterns.

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. Software Architect, AI Applications As an Architect in Gong's AI Applications group, you will lead the architecture and technical direction of the Revenue Harness, the agentic framework that powers an AI teammate for every revenue professional. The assistant understands a user's deals, customers, and pipeline. It can reason, plan, and act on the user's behalf, grounded in the richest revenue data in the world. This is a hands-on role with broad influence. You will embed with teams where needed, guide design decisions, and help build scalable, extensible agentic systems on state-of-the-art AI technology. What You'll Build • Agentic Core: Agent orchestration, planning and reasoning loops, multi-step execution, and multi-agent coordination for long-running revenue workflows. • Tools & Integrations: A secure, extensible tool ecosystem, including MCP-based tools and connectors, that lets agents read from and act on Gong data, CRMs, email, and calendars. • Context & Memory: Retrieval pipelines over calls, emails, deals, and accounts, using RAG, hybrid search, and knowledge graphs, plus short- and long-term memory. • Quality & Trust: Offline and online evaluation of accuracy, groundedness, and task success, along with guardrails, permissions, and human-in-the-loop controls. • Model Platform: Multi-provider model routing, streaming, LLM observability, and cost and latency management. • Runtime & Execution: High-concurrency infrastructure for stateful and stateless agents, including lifecycle management, isolated workers, task queues, and distributed state persistence. • Deployment & CI/CD: Cloud-native Kubernetes deployments with multi-region rollout, zero-downtime updates, canary releases for non-deterministic workflows, and strict tenant sandboxing. You'll Own • Revenue Harness Architecture: Serve as the group's central technical leader. Define the reference architecture and the contracts between agents, tools, context, and models, so that teams build on a shared, scalable foundation. • Hands-On Engineering: Embed in teams across domains and contribute directly to design and code. • Quality & Reliability Standards: Set the group's eval methodology, regression gates, and production monitoring for non-deterministic systems. • Mentorship & Engineering Standards: Raise the bar on design quality and best practices across the group. • AI-Assisted Development: Drive adoption of coding agents, AI code review, and agentic workflows to improve velocity and quality. You'll Solve • Reliability on Non-Deterministic Foundations: Make LLM behavior trustworthy through structured outputs, tool-call validation, fallbacks, and well-defined failure modes. • Context at Enterprise Scale: Get the right information into the context window efficiently when the data spans millions of conversations, deals, and accounts. • Secure, Permission-Aware Agents: Enforce data boundaries, user permissions, and tenant isolation, and defend against prompt injection and unintended actions. • Quality, Cost & Latency Trade-offs: Balance them through model selection, caching, and routing. • Ambiguity & Divergence Across Teams: Bring clarity to loosely defined cross-team problems, surface blind spots, and steer teams toward aligned, reusable patterns. • Speed vs. Long-Term Evolution: Catch architectural gaps early and make pragmatic trade-offs, so that systems keep pace with rapidly changing models and tooling. You'll Impact • The Future of Revenue Work: Help sales professionals shift their time from busywork to selling. • A Higher Engineering Bar: Build stronger, more autonomous teams through better design practices and mentorship. • Consistent, Fast Delivery: Reduce duplication and accelerate execution without compromising long-term platform health. How You'll Succeed Requirements • 10+ years of backend development, with strong expertise in Java and modern frameworks such as Spring Boot. • Proven Staff or Principal-level impact across multiple teams, with the ability to lead through influence rather than authority. • Hands-on experience shipping production LLM applications, such as agents, tool calling, RAG, or structured generation, and an understanding of their failure modes. • Deep expertise in designing large-scale distributed systems, including asynchronous, event-driven, and streaming architectures. • Versatility in diving into unfamiliar codebases, switching context across teams, and spotting high-impact opportunities. • A passion for mentoring, and the ability to communicate complex ideas clearly to diverse stakeholders. • Genuine curiosity about the AI landscape, and a track record of driving adoption of AI-assisted development. Nice to Have • Experience with agent frameworks and protocols (e.g., MCP, Spring AI, LangChain/LangGraph) or with building an in-house equivalent. • Experience with LLM evaluation (LLM-as-judge, golden datasets, online monitoring), observability, and multi-provider routing. • Experience with vector databases, search infrastructure (e.g., Elasticsearch/OpenSearch), or knowledge graphs. • Familiarity with AI security concerns, including prompt injection, data leakage, and agent permission models. • Working knowledge of Python alongside a JVM stack. • Background in B2B SaaS, CRM, or revenue technology. We operate in a flexible hybrid work model. What makes Engineering at Gong unique? Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call this "Own. Solve. Impact." For our engineers, it means it's not just about writing code. You are involved and able to influence the entire process to create the best product. If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don't delay—fill in your application details. Who knows, maybe there's a Gongster in you! About us We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us flexibility, autonomy, positive work relationships, and effective work habits. If these considerations are important to you when choosing a workplace, we'd love to see you with us. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-MK3