We are looking for a Principal Backend Engineer to join our Analytics team based in Israel. This role reports to the Manager, Software Engineering. Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. You will leverage our robust data platform and security modules to provide immediate benefits to customers while making the world a more secure place.

What you’ll do (Role Expectations)

• Design, develop, and maintain scalable backend services within a cutting-edge microservices architecture using Scala and Java/Spring Boot

• Optimize performance, cost, and reliability of services in production while ensuring efficient data management across stores like Snowflake, Trino, and Apache Iceberg

• Drive innovation in semantic layers, query optimizations, and analytics capabilities to refine and expand our technology stack

• Operate seamlessly across product, UX, and frontend teams to deliver high-scale features from inception to production

• Mentor junior engineers and elevate the team’s technical capabilities through high-accountability partnership

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of proven experience in backend development with a focus on building robust, tech-driven solutions

• Experience designing and developing microservices architecture using tools such as AWS, Kubernetes, RabbitMQ, SQS, and Tilt

• Technical proficiency in Java and Spring Boot

• Strong communication skills and a demonstrated ability to solve complex problems in a dynamic environment

• A self-driven approach to exploring new technologies and driving innovation

What Will Make You Stand Out (Preferred Qualifications)

• B.Sc. in Computer Science or a related field

• Experience in leading a team, a squad or a cross-team effort/tech area.

• Expertise in query optimization, data analytics, and building semantic layers

#LI-MP1

#LI-HYBRID

So, what’s the role all about?

As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline — from requirement ingestion to autonomous deployment — is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.

How will you make an impact?  

Agentic Quality Architecture

• Design the end-to-end quality architecture for agentic SDLC pipelines — spanning requirement analysis, code generation, test creation, execution, triage, and release gates
• Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
• Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
• Establish trust and verification models for agent-produced artifacts — test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
• Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation

AI-Native Test Engineering Platform

• Design and own the LLM-powered test generation platform — from natural language requirement ingestion to executable, maintainable test output
• Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
• Build the self-healing test infrastructure layer — agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
• Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
• Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact

Quality Gates in Autonomous Pipelines

• Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD — gates that reason about risk, not just pass/fail thresholds
• Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
• Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
• Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
• Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation

AI Model & Agent Validation

• Build behavioral testing frameworks for validating AI agents and LLM-powered features in production — testing non-deterministic outputs with statistical rigor
• Design evaluation benchmarks for internal AI tooling: measuring agent task completion accuracy, hallucination rates, context retention, and decision quality over time
• Architect drift detection systems that identify when agent behavior changes between model versions, prompt updates, or context window shifts
• Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation under distribution shift
• Partner with ML platform and data science teams to establish quality acceptance criteria for every model and agent promoted to production

Have you got what it takes?

• 12+ years in software engineering with strong depth across both development and quality engineering
• 4+ years as a hands-on principal architect or distinguished engineer with cross-org technical scope
• Demonstrated experience designing quality infrastructure used at scale — 50+ engineers, high-velocity pipelines, enterprise SLAs
• Direct production experience building or operating systems that incorporate LLMs or AI agents — not evaluations, but shipped systems
• Background in large-scale CI/CD architecture and the performance engineering domain
• Enterprise SaaS or platform engineering background; familiarity with regulated, high-uptime environments strongly preferred

Agentic AI & LLM Proficiency

• Deep, hands-on understanding of agentic AI patterns: tool use, multi-agent orchestration, planning loops, memory architectures, and human-in-the-loop design
• Expert-level prompt engineering including chain-of-thought, few-shot, RAG, and structured output techniques applied to code and test generation
• Experience designing evaluation harnesses for non-deterministic AI systems — statistical confidence, behavioral consistency, and regression detection
• Familiarity with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or equivalents) and their tradeoffs in production quality pipelines

Technical Depth

• Expert in Python and TypeScript; proficient in at least one compiled language (Java, Go, C#)

• Strong CI/CD architecture skills: Jenkins, GitHub Actions, pipeline-as-code, artifact management

Leadership & Influence

• Proven ability to drive technical consensus and architectural adoption across multiple teams without direct authority
• Exceptional written communication — your ADRs, RFCs, and design docs set the standard others follow
• Effective technical mentor to senior and staff engineers; you expand the thinking of those around you
• Comfortable and credible presenting to VP and C-level stakeholders; you make complex architecture legible to executives

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10833
Reporting into: Senior Director, Engineering, CX
Role Type: Individual Contributor

#LI-Hybrid

An overview of this role

GitLab is seeking a Principal Engineer to set technical direction for our most critical infrastructure platforms. This role operates at organizational scale, owning architecture, solving complex systems problems, and driving initiatives that shape how GitLab grows, performs, and remains reliable.

As a Principal Engineer, you will serve as a technical authority and force multiplier, leading architectural decisions across distributed and cloud-native systems to translate business strategy into durable technical direction. Spanning multiple teams and domains, you will bring clarity to ambiguity, raise engineering standards, and mentor senior talent while remaining accountable for real production outcomes. This is a hands-on, high-impact role for leaders who drive success through influence and shape the foundational platforms that the entire organization depends on.

Organizational Focus Areas

Principal Engineers at GitLab drive strategy across our most critical infrastructure and delivery groups. Role placement across the following tracks is determined by business need and organizational priority.

Group Tenant Scale (GTS)

This track builds GitLab’s next generation, multi-tenant, horizontally scalable, and resilient SaaS platform. You will architect the foundations that enable other engineering teams to build upon this platform and drive convergence among GitLab’s various platforms..

• Core Focus: Lead the design and evolution of projects that enable our distributed, multi-tenant SaaS transformation, including Cells, Organizations, and OrgMover.
• Distributed Architecture: Architect for zero downtime, transparent relocation, and application hardening in a massive distributed environment.
• Strategic Decisions: Guide architecture decisions with availability, reliability, resiliency, performance, and cost in mind.

GitLab Delivery 

The GitLab Delivery track focuses on enhancing the reliability, efficiency, and speed of GitLab’s end-to-end software delivery across all platforms and offerings.

• Core Focus: Lead the platform strategy spanning Developer Experience, CI infrastructure, packaging, and release delivery across SaaS, Self-Managed, and Dedicated.
• Developer Experience: Treat GitLab engineers as customers, building self-service tooling, testing infrastructure, and paved paths that increase velocity while maintaining quality.
• Delivery at Scale: Architect reliable, automated pipelines that streamline how GitLab is packaged, released, and deployed across all platforms and offerings.

What You'll Do

• Own and drive the architectural direction for critical infrastructure platforms that support GitLab at global scale.
• Lead the design and evolution of large platforms and distributed systems that are scalable, resilient, secure, and cost-efficient.
• Serve as the technical authority on complex initiatives, guiding decisions that impact multiple teams and product areas.
• Translate business and product strategy into long-term technical roadmaps and execution plans.
• Drive alignment across engineering, product, and leadership by clearly communicating tradeoffs and recommendations.
• Establish technical standards and architectural patterns that raise quality and consistency across the organization.
• Be accountable for production outcomes, including reliability, performance, and operational excellence.
• Mentor senior engineers and act as a force multiplier through influence rather than direct authority.
• Operate effectively in ambiguous problem spaces where both the problem and the solution need to be defined.

What You'll Bring

• Proven experience designing and evolving large-scale platforms or distributed systems in cloud-native environments.
• Strong proficiency in Golang and/or Ruby, with the ability to contribute to, review, and guide core architectural changes in production codebases.
• Strong architectural judgment, including the ability to balance scalability, reliability, performance, security, and cost.
• Experience owning platform-level technical decisions that impacted multiple teams or an entire engineering domain.
• Solid understanding of Kubernetes-based environments as a production platform, including how they influence system design, deployment models, reliability, and operational complexity.
• Experience being accountable for production systems, not just design recommendations.
• Ability to author and drive long-term technical strategy and multi-month roadmaps.
• Track record of leading through influence and shaping technical direction without direct authority.
• Comfort making high-impact technical decisions, including build vs buy vs partner tradeoffs.
• Strong communication skills, with the ability to explain complex technical concepts to engineers, leadership, and non-technical stakeholders.

About the team

The Principal Engineer role sits within GitLab’s Infrastructure Platforms organization, working across multiple teams to shape how our platform scales and operates. This group is responsible for some of GitLab’s most critical systems, including the multi-tenant SaaS platform, core delivery pipelines, and the underlying infrastructure that powers millions of users. As a Principal Engineer, you’ll define technical direction, guide architectural decisions, and ensure our platforms remain resilient, performant, and modern. The team operates fully remotely and collaborates asynchronously across time zones, grounded in GitLab’s values of transparency, autonomy, and open communication. You’ll help the organization tackle complex distributed systems challenges at scale while mentoring other engineers and building a culture focused on reliability, efficiency, and continuous improvement.

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary Formal Verification Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, defining the formal verification strategy for chips that power the world's largest AI clusters.

As the Formal Verification Engineer, you will be a foundational member of our Israel R&D center. You won’t just execute tasks; you will define the Formal verification strategy for chips that drive the world’s largest AI clusters. You will dive deep into the technical details, proving the correctness of complex designs and ensuring they flawlessly meet specifications.

Key Responsibilities

• Own and develop formal verification environments from scratch through to sign-off
• Apply formal verification methodologies and strategies to prove the correctness of intricate designs
• Work closely with the Architecture, Design, and DV teams to identify verification needs and pinpoint design requirements
• Create robust formal environments, analyze complex RTL designs, and apply advanced formal techniques to find corner-case bugs
• Analyze verification results, identify failures, and collaborate directly with designers to resolve issues efficiently
• Architect and develop generic, common formal functions and properties to be reused across multiple projects

Basic Qualifications

• Bachelor's degree in Electrical Engineering or a related technical field
• 5+ years of hands-on experience in Formal Verification within semiconductor companies
• Deep expertise in formal verification methodologies, tools, and flows
• Strong understanding of RTL design and verification principles
• Experience with industry-standard formal verification tools (Jasper, VC Formal, or similar)
• Excellent communication skills, strong analytical thinking, and a proactive, "can-do" approach to problem-solving

Preferred Qualifications

• Track record of successfully taking complex blocks or subsystems through the entire formal verification lifecycle
• Experience with SystemVerilog UVM-based design verification
• Knowledge of networking standards (Ethernet, NVLink, UALink, PCIe)
• Background in high-speed serial interface verification

An overview of this role

As the Principal Engineer, Software Supply Chain Security, you’ll own the technical strategy that secures how software is built and delivered on GitLab’s DevSecOps platform. You’ll provide architectural leadership across multiple engineering teams. You’ll also partner closely with infrastructure and CI/CD teams to harden our pipelines, infrastructure, and access layers. Your work will shape GitLab’s enterprise security posture in the rapidly growing software supply chain security market. You’ll focus on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab’s global zero trust architecture. You’ll mentor Staff Engineers and individual contributors, and you’ll guide critical technical decisions. You’ll also act as a spokesperson with customers and external stakeholders for GitLab’s secure, mission-critical SaaS that runs millions of pipelines.

Some examples of our projects:

• SLSA Level 3 compliance and provenance attestation across GitLab’s CI/CD platform
• Integrated secrets management and runner security for container-isolated, secure pipelines

What you’ll do

• Lead the end-to-end software supply chain security architecture for GitLab’s CI/CD platform, including SLSA Level 3 implementation and CI infrastructure hardening.
• Drive cross-team technical strategy and decisions across our Software Supply Chain Security (SSCS) stage teams, aligning engineering work to SSCS strategic plans.
• Collaborate with infrastructure and CI/CD teams to design and land long-term initiatives for secure, scalable runner architecture, container isolation, and pipeline security at scale.
• Propose and validate technical implementations that support architectural changes to improve CI/CD scaling and performance on critical paths.
• Teach, mentor, and coach Staff Engineers and individual contributors, raising the bar on supply chain threat modeling, secrets management, artifact signing, and SBOM lifecycle practices.
• Partner with Engineering Managers and senior leadership to define roadmaps, break down complex initiatives, and enable Staff Engineers to lead sub-department-wide efforts.
• Engage with customers and external stakeholders as a technical consultant and spokesperson for GitLab’s software supply chain security capabilities and roadmap.
• Collaborate with product, security, and compliance stakeholders to ensure features meet enterprise security, governance, and regulatory expectations in the software supply chain security market.

What you’ll bring

• Deep expertise in software supply chain security, including threat modeling for supply chain attack vectors, SLSA implementation and attestation systems, and SBOM generation and lifecycle management.
• Strong knowledge of artifact signing and verification using the Sigstore ecosystem, including Cosign, Fulcio, Rekor, and in-toto attestations.
• Experience designing and hardening CI/CD security, such as runner isolation, pipeline security controls, and secrets management in large-scale environments.
• Background in distributed systems and infrastructure, including building resilient CI/CD platforms that process high pipeline volumes and optimizing performance for critical paths.
• Practical experience with container security and Kubernetes security, including admission controllers, policy controllers, workload isolation, and registry hardening.
• Proficiency in Go or Rust in a production environment, combined with expert-level understanding of CI/CD workflows and DevSecOps best practices.
• Experience operating as a Principal or Staff Engineer across multiple development teams, providing architectural leadership and partnering with Engineering Managers and senior leaders.
• Demonstrated capacity to clearly communicate complex problems and solutions.

About the team

Our Software Supply Chain Security stage engineering teams are responsible for authentication and access within GitLab. We also build features that help customers manage vulnerabilities, dependencies, security policies, and compliance frameworks across their organizations. Our group includes four core teams (Authentication, Authorization, Pipeline Security, and Compliance) and more than 40 engineers. We work asynchronously across regions and partner closely with product, security, and infrastructure to deliver secure-by-default features for customers in highly regulated industries.

What is The Role

Elastic is building Agent Builder, a conversational platform that connects production agents to real customer business data in Elasticsearch. As a Principal Engineer, you will set technical direction and drive the Kibana backend architecture for the agentic platform: streaming APIs, secure tool execution, session and memory persistence, retrieval and citations contracts, and evaluation telemetry. Your influence will extend beyond a single feature, shaping service boundaries, reliability posture, and standards that other solutions build on.

What You Will Be Doing

• Own the architecture for chat back-end services (Node/TypeScript), defining service boundaries, data contracts, and scalability targets
• Lead cross-team design reviews; author ADRs and RFCs that become reference standards for AI-chat and ingestion work.
• Build and harden event-driven pipelines that capture chat telemetry, evaluation traces, and LLM feedback loops; expose them via self-service analytics endpoints.
• Champion reliability—define error budgets, introduce testing strategy, and steer incident-response playbooks for conversational workloads.
• Mentor senior and Junior engineers; grow their system-design skills and foster a high-trust, low-ego culture.
• Partner with Product, Design, and Data Science to translate ambiguous goals (e.g., “multi-step reasoning with tool calling”) into incremental, testable action items.
• Represent Elastic in open-source AI communities (LangGraph/LangChain, MCP/A2A) through design proposals, blog posts, and conference talks.

What You Bring

• We appreciate articulate and “low ego” people who want to grow as part of a team.
• 10 + years building distributed, production SaaS services—at least 5 years leading large-scale Node/TypeScript or similar back-end stacks.
• Deep expertise in distributed systems fundamentals—shard routing, consensus, eventual consistency, back-pressure, and circuit-breaker patterns.
• Demonstrated success designing high-throughput, low-latency APIs (gRPC / REST / WebSocket)—including streaming responses and resumable sessions.
• Hands-on experience with observability: OpenTelemetry, log/metric pipelines, synthetic checks, and SLO dashboards.
• Exposure to LLM tooling (LangChain/LangGraph, OpenAI function calls, vector-search, RAG orchestration) and enthusiasm for advancing GenAI architectures.
• Clear, persuasive written communication—your ADRs and RFCs set the standard others emulate.
• Nice-to-have: contribution history to Kibana or other large SPAs; ability to prototype front-end dashboards when it unblocks back-end work.

If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

What is The Role

Elastic is building Agent Builder, a conversational platform that connects production agents to real customer business data in Elasticsearch. As a Principal Engineer, you will set technical direction and drive the Kibana backend architecture for the agentic platform: streaming APIs, secure tool execution, session and memory persistence, retrieval and citations contracts, and evaluation telemetry. Your influence will extend beyond a single feature, shaping service boundaries, reliability posture, and standards that other solutions build on.

What You Will Be Doing

• Own the architecture for chat back-end services (Node/TypeScript), defining service boundaries, data contracts, and scalability targets
• Lead cross-team design reviews; author ADRs and RFCs that become reference standards for AI-chat and ingestion work.
• Build and harden event-driven pipelines that capture chat telemetry, evaluation traces, and LLM feedback loops; expose them via self-service analytics endpoints.
• Champion reliability—define error budgets, introduce testing strategy, and steer incident-response playbooks for conversational workloads.
• Mentor senior and Junior engineers; grow their system-design skills and foster a high-trust, low-ego culture.
• Partner with Product, Design, and Data Science to translate ambiguous goals (e.g., “multi-step reasoning with tool calling”) into incremental, testable action items.
• Represent Elastic in open-source AI communities (LangGraph/LangChain, MCP/A2A) through design proposals, blog posts, and conference talks.

What You Bring

• We appreciate articulate and “low ego” people who want to grow as part of a team.
• 10 + years building distributed, production SaaS services—at least 5 years leading large-scale Node/TypeScript or similar back-end stacks.
• Deep expertise in distributed systems fundamentals—shard routing, consensus, eventual consistency, back-pressure, and circuit-breaker patterns.
• Demonstrated success designing high-throughput, low-latency APIs (gRPC / REST / WebSocket)—including streaming responses and resumable sessions.
• Hands-on experience with observability: OpenTelemetry, log/metric pipelines, synthetic checks, and SLO dashboards.
• Exposure to LLM tooling (LangChain/LangGraph, OpenAI function calls, vector-search, RAG orchestration) and enthusiasm for advancing GenAI architectures.
• Clear, persuasive written communication—your ADRs and RFCs set the standard others emulate.
• Nice-to-have: contribution history to Kibana or other large SPAs; ability to prototype front-end dashboards when it unblocks back-end work.

If this sounds interesting, we would love to hear from you! Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc.

Full time/ Hybrid

As a Principal Engineer within Payoneer’s Business Applications domain, you are a senior technical authority responsible for shaping the long‑term architecture, engineering standards, and modernization strategy of mission‑critical financial systems.

Reporting to the Domain Architect, you will operate at a domain‑wide and cross‑domain level, driving architectural decisions, influencing multiple teams, and ensuring that Payoneer’s cloud‑native transformation is scalable, secure, and sustainable.

This role is ideal for a highly experienced engineer who combines deep hands‑on expertise with strategic architectural thinking, thrives in ambiguous problem spaces, and is motivated by solving complex, systemic challenges at scale.

What You’ll Do

Own Domain‑Level Architecture & Technical Direction

• Define and evolve the target architecture for the Business Applications domain, ensuring alignment with Payoneer’s cloud, security, and platform strategies.
• Act as a technical decision‑maker for high‑impact initiatives, reviewing and influencing designs across multiple teams and services.
• Identify architectural risks, systemic bottlenecks, and long‑term scalability concerns—and proactively drive solutions.

Drive Large‑Scale Cloud & Legacy Modernization

• Lead complex, multi‑year modernization efforts, including decomposition of monoliths, domain realignment, and migration of critical systems to cloud‑native architectures.
• Set principles and reference patterns for event‑driven systems, APIs, data flows, resiliency, and backward compatibility.
• Partner with architects, SRE, security, and platform teams to ensure solutions meet reliability, compliance, and performance requirements.

Set Engineering Excellence Standards

• Define and champion engineering best practices across backend development, DevOps, observability, security, and SDLC processes.
• Raise the technical bar through design reviews, architectural forums, and mentorship of Tech Leads and senior engineers.
• Influence Payoneer’s “Shift Left” culture by embedding quality, security, and operability into design and development from day one.

Provide Strategic Hands‑On Leadership

• Stay hands‑on in critical paths: complex designs, proof‑of‑concepts, high‑risk changes, and foundational services.
• Guide teams through technically challenging decisions without becoming a delivery bottleneck.
• Serve as a trusted escalation point for complex production or architectural issues.

Influence Across the Organization

• Collaborate closely with Product, Architecture, SRE, Security, Data, and Business stakeholders to ensure technical solutions deliver real business impact.
• Translate business and regulatory constraints into robust technical designs.
• Act as a role model for ownership, accountability, and long‑term thinking.

What We’re Looking For (Core Competencies)

System‑Level Thinking

Exceptional ability to reason about large, distributed systems, understand second‑ and third‑order effects, and make trade‑offs that balance speed, quality, and sustainability.

Technical Authority & Influence

Recognized ability to influence technical direction across teams through expertise, clarity, and credibility—without relying on formal authority.

Cloud & Distributed Systems Mastery

Deep experience designing and operating large‑scale, cloud‑native systems (AWS strongly preferred), including networking, security, resiliency, and cost optimization.

Backend & Platform Engineering Excellence

Expert‑level backend engineering skills, with hands‑on experience in multiple stacks and paradigms. Experience with Node.js is an advantage due to its significant footprint within Business Applications.

DevOps, Reliability & Security Mindset

Strong background in CI/CD, GitOps, infrastructure‑as‑code, observability, and production operations. Proven experience embedding security and reliability into system design.

Qualifications

• 10+ years of backend software engineering experience.
• 5+ years operating at senior technical leadership levels (Principal Engineer, Staff Engineer, or equivalent).
• Proven ownership of large‑scale modernization, platform, or cloud migration initiatives.
• Deep expertise in microservices, event‑driven architectures, API design, and distributed systems.
• Experience in fintech or regulated environments is a strong plus.

#LI-CD1

You will join the R&D innovation team responsible for the Axonius Exposures product, focusing on advanced features like custom security findings, CVE scoring, and prioritization. As a Principal Full Stack Engineer, you will serve as the technical focal point, driving complex end-to-end feature development in a high-growth environment. This role involves collaborating closely with Research, Integration and Product teams to define the future of exposure management.

Responsibilities

• Lead the end-to-end technical lifecycle of new features within the Exposures product using Python, Vue.js, React, MongoDB, ClickHouse, Redis, Celery, and Docker.
• Act as the technical focal point and mentor full-stack teams, conducting design reviews and providing hands-on guidance for complex engineering tasks.
• Collaborate directly with Product, Integration, and Research teams to translate product requirements into scalable, high-performance code.
• Drive engineering excellence and productivity by integrating advanced AI tools (Claude, Augment and more) into the development workflow and product features.

Minimum Qualifications

• 7+ years of professional experience in Full-Stack development.
• Proficiency in Python with a backend orientation and experience in architectural guidance.
• Extensive experience with modern UI frameworks (Vue.js, React, or Angular) and advanced JavaScript/CSS.
• Proven hands-on experience working with databases (e.g., MongoDB, ClickHouse) and managing data at scale.

Preferred Qualifications

• Strong background in performance optimization and writing efficient code for high-scale environments.
• Proven ability to work closely with Product Management to influence product roadmap and requirements.
• Advanced proficiency in building or integrating AI-powered features and automation workflows.

#LI-HYBRID, #LI-ZR1

Principal Engineer & CMS Platform Lead 

Location: [Remote / Europe / Israel/ Cyprus] 

Technology: TypeScript, Node.js, Next.js, CMS (Open-Source), AI Localization. 

About Kape Technologies 

Kape (LSE: KAPE, privatized 2023) is a global leader in the "Privacy-First" digital security era. We are the powerhouse behind the world’s most trusted consumer privacy brands. 

With over 7 million paying subscribers and a global team of 1,000+ experts across 10 locations, our mission is to provide complete digital autonomy. We believe that a free and open internet starts with state-of-the-art technology. As we scale toward the next 10 million users, we are consolidating our web infrastructure into a unified, next-generation content platform that matches the world-class engineering of our core VPN products. 

The Challenge 

You will lead the engineering squad responsible for retiring our legacy WordPress instances across brands. You aren't just building a website; you are building a Content Operating System powered by an open-source headless CMS at its core. This platform must support high-velocity PPC landing pages, complex multi-language blogs, and technical support hubs—all while maintaining the extreme performance and security standards expected of global privacy leaders. 

A key part of this role is evaluating and adopting an open-source CMS solution (such as Strapi, Payload CMS, Directus, or KeystoneJS) as the foundation of the new platform. You will assess these solutions against our requirements for extensibility, multi-tenancy, and API-first content delivery, and lead the customization and integration effort to make the chosen platform fit our multi-brand ecosystem. 

Key Responsibilities 

• Open-Source CMS Selection & Integration: Evaluate and lead the adoption of an open-source headless CMS (e.g., Strapi, Payload CMS, Directus, KeystoneJS) as the content backbone. Define selection criteria around extensibility, plugin ecosystem, multi-tenancy support, role-based access, and API performance. Own the customization roadmap to tailor the chosen solution to our multi-brand needs.
• Unified Architecture: Design a multi-brand, component-based headless system built on the selected open-source CMS. You will architect the "Core Engine" that allows all three brands to share high-performance components while maintaining unique visual identities. 
• Inheritance & Customization: Solve the "Parent-Child" challenge. Build a system where a global campaign (Parent) can be instantly deployed across dozens of regional versions (Children) with localized overrides and inherited SEO logic. 
• Infrastructure & Security Governance: Partner with DevOps to define the global delivery strategy. You will oversee requirements for Edge Computing (ISR/Edge Functions), WAF, and multi-layered caching (Redis/CDN) to ensure sub-second LCP (Largest Contentful Paint) globally. 
• AI-Powered Localization: Architect a native-feeling translation pipeline. Integrate LLMs to handle context-aware translations and build an AI "Quality Gate" that automatically checks pages for SEO health and UI regressions before they go live. 
• Visual Editor Implementation: Bridge the gap between engineering and marketing by leveraging the chosen open-source CMS's admin panel and extending it with a high-performance visual editing experience that doesn't bloat the frontend code. 

Technical Requirements (Hard Skills) 

• Next.js & React Mastery: Expert-level experience with the App Router, Server Components, and performance optimization for massive traffic (millions of monthly uniques). 
• Node.js/TypeScript Ecosystem: Deep experience building robust, type-safe APIs and microservices. Hands-on experience with open-source headless CMS platforms (Strapi, Payload CMS, Directus, or similar) is a strong advantage. 
• Multi-layered Caching: Professional-grade understanding of browser, server-side, and edge caching strategies. 
• Infrastructure Fluency: Ability to set precise tasks for DevOps and verify the integrity of deployments, proxying, and firewalling. 
• Technical SEO: Deep knowledge of how headless architectures impact crawlability, schema, and dynamic sitemaps. 

Why Join Kape? 

This is a rare opportunity to own the web platform for one of the biggest names in cybersecurity. You will have the budget and the mandate to move away from legacy debt and build a "Golden Path" for web development using the best of the JavaScript and open-source ecosystem—starting with a best-in-class headless CMS as the foundation.

The role 

We’re seeking an exceptional Principal Application SW Engineer to join our Japan-based within the Application Software team, focused on localising and advancing Wayve’s autonomous driving technology for the Japanese market. This is a unique opportunity to play a hands-on role in shaping our AV capabilities in Japan from the ground up.

In this role, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring seamless performance across diverse SoCs and operating systems. You’ll collaborate closely with cross-functional teams across Verification, Release, and OEM partners to ensure smooth integration and reliable delivery.

Key responsibilities:

• Execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride).
• Port and configure Linux-based systems, QNX, and Adaptive AUTOSAR environments.
• Integrate and validate drivers, middleware, and boot-time configurations.
• Collaborate with Verification & Release teams to integrate hardware into CI/CD, HIL, and test infrastructure.
• Work with OEM and Tier 1 teams to resolve hardware-specific integration issues.
• Implement system-level diagnostics, logging, and secure boot configuration.
• Develop automation for setup, flashing, health checks, and test execution on target hardware.

About you  

In order to set you up for success at Wayve, we’re looking for the following skills and experience.  

• 8+ years of experience in embedded or automotive software development, ideally with hands-on platform bring-up experience.
• Strong proficiency in C/C++, Bash, and Python.
  Deep understanding of Linux-based embedded systems (Yocto, systemd, bootloaders, device trees).
• Familiarity with QNX and Adaptive AUTOSAR environments and the ability to configure and debug them on target hardware.
  Experience with bring-up on automotive-grade SoCs (e.g., NVIDIA Orin, Qualcomm SA8295/SA8650, Renesas, TI).
• Comfortable working with hardware debuggers, flashing tools, serial consoles, and board support packages (BSPs).
• Familiarity with communication protocols like CAN, Ethernet, PCIe, SPI, I2C.
• Hands-on experience integrating embedded platforms into CI/CD pipelines and test automation frameworks.
• No Japanese language required. 

Desired 

• Exposure to automotive verification environments (e.g., HIL systems, Vector toolchains, custom CI rigs).
• Experience working in a safety-critical domain with an understanding of ISO 26262, boot-time determinism, and watchdogs.
• Understanding of secure boot, OTA updates, and system-level cybersecurity topics.
• Familiarity with Docker, Jenkins, Git, and artifact management tools like JFrog Artifactory.

This is a full-time role based in our office in Tokyo - we offer relocation package and visa sponsorship.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.   

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.