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

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Your Role:

Tenable Cloud Security was born out of the acquisition of Ermetic, an innovative cloud-native application protection platform (CNAPP) company, and a leading provider of cloud infrastructure entitlement management (CIEM). The acquisition combines two cybersecurity innovators and marks an important milestone in Tenable’s mission to shift organizations to proactive security. The combination of Tenable and Ermetic offerings will add capabilities to deliver market-leading contextual risk visibility, prioritization and remediation across infrastructure and identities, both on-premises and in the cloud.
Tenable is building an automation team. In your role as a Test Automation Engineer, you will design and implement robust automated testing frameworks to enhance our product quality. A unique opportunity to shape and develop the automation framework from the ground up, ensuring seamless integration of the automation infrastructure into the overall development process. Build and maintain scalable automation frameworks for efficient testing across multiple product lines.

Your Opportunity:

• Automation Framework Development: Build and maintain an automation framework to support efficient and scalable testing across multiple product lines.
• Test Design and Execution: Develop, execute, and manage automated tests to ensure product quality, focusing on key areas like functional validation, performance testing, and operational resilience.
• Collaboration with Engineering Teams: Work closely with developers and QA engineers to identify testing requirements, integrate automation into CI/CD pipelines, and troubleshoot test failures.
• Data-Driven Insights: Analyze and report test results, using data to refine testing approaches and to drive continuous improvements in the automation process.
• Technical Growth: Deepen your technical expertise with a focus on automation for complex systems, SaaS, and cloud environments.
• Project Ownership: Lead projects to implement and scale automation frameworks, developing a strong foundation for future product testing.
• Strategic Testing Initiatives: Identify and implement innovative testing methodologies and automation strategies.
• Cross-Functional Collaboration: Partner with product and engineering teams to enhance quality processes through data-driven testing and continuous improvement.

What You'll Need:

• Experience: At least 2 years in a test automation role, with a focus on building and maintaining automation infrastructure.
• Technical Skills: Proficiency in Typescript/Javascript and experience with automation tools such as Playwright or Cypress; familiarity with React testing is a plus.
• Industry Knowledge: Experience in a SaaS or cybersecurity environment is preferred.
• Education: Bachelor’s degree in Computer Science or a related field (preferred).
• Desirable Skills: Experience in designing automation frameworks from scratch, understanding of CI/CD practices, and a commitment to data-driven testing strategies.

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#LI-SK1

The Role

Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.

As a Software Engineer - Scraping Specialist, you’ll build the systems that power how AI interacts with the live web. You’ll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.

This role blends technical understanding of browsers, networks, and automation with hands-on engineering. You’ll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.

Your work will directly shape Tavily’s ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.

What You’ll Do

• Build distributed data acquisition systems that capture and structure the live web
• Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
• Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
• Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
• Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
• Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
• Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction

What We’re Looking For

• 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure
• Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus
• Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments
• Solid understanding of browser internals, network protocols, and web interaction mechanisms
• Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration
• Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions
• Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly
• Excellent documentation and communication skills to ensure smooth integration and operational visibility

Nice to Have

• Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD
• Experience integrating AI or retrieval systems into production pipelines

So, what’s the role all about?

We are seeking a Senior Automation Engineer to lead the enterprise-scale design and implementation of a modern test automation platform built on Playwright.
This role is ideal for a senior engineer who has successfully led a Selenium-to-Playwright migration in a large organization and understands both the technical and organizational challenges of modernizing automation at scale.
You will define enterprise-wide standards, build scalable automation infrastructure, and drive quality transformation across multiple engineering teams.

How will you make an impact?

• Architect and standardize a scalable Playwright framework for multi-team adoption.
• Lead and execute the migration strategy from Selenium to Playwright.
• Define enterprise automation standards, including:
• Async programming best practices
• Modern locator and test design patterns
• Test isolation and reliability strategies
• CI/CD integration and pipeline optimization
• Optimize execution performance, stability, and parallelization at scale.
• Design automation infrastructure including reporting, observability, and test analytics.
• Partner with engineering leadership to embed automation into the SDLC.
• Mentor engineers and act as the technical authority for automation strategy.

Have you got what it takes?

• 5+ years in test automation engineering.
• Demonstrated experience leading Playwright automation initiatives within mid-to-large enterprise environments.
• Experience designing full-stack automation (UI + API).
• Experience building and scaling automation frameworks used by multiple teams.
• Deep understanding of test architecture, CI/CD systems, and distributed testing strategies.
• Demonstrated leadership in driving engineering standards and cross-team adoption.
• Excellent documentation and communication skills.

What Would Make You Stand Out?

• Proven experience leading Selenium-to-Playwright migration.
• Experience with CI/CD technologies (Jenkins etc.) 

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: 10310
Reporting into: Group Lead, Engineering
Role Type: Individual Contributor

#LI-Hybrid

About NiCE Actimize:

NiCE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud and providing regulatory compliance.

So, what’s the role all about?

We are seeking a Senior Automation Engineer to lead the enterprise-scale design and implementation of a modern test automation platform built on Playwright.
This role is ideal for a senior engineer who has successfully led a Selenium-to-Playwright migration in a large organization and understands both the technical and organizational challenges of modernizing automation at scale.
You will define enterprise-wide standards, build scalable automation infrastructure, and drive quality transformation across multiple engineering teams.

How will you make an impact?

• Architect and standardize a scalable Playwright framework for multi-team adoption.
• Lead and execute the migration strategy from Selenium to Playwright.
• Define enterprise automation standards, including:
• Async programming best practices
• Modern locator and test design patterns
• Test isolation and reliability strategies
• CI/CD integration and pipeline optimization
• Optimize execution performance, stability, and parallelization at scale.
• Design automation infrastructure including reporting, observability, and test analytics.
• Partner with engineering leadership to embed automation into the SDLC.
• Mentor engineers and act as the technical authority for automation strategy.

Have you got what it takes?

• 5+ years in test automation engineering.
• Demonstrated experience leading Playwright automation initiatives within mid-to-large enterprise environments.
• Experience designing full-stack automation (UI + API).
• Experience building and scaling automation frameworks used by multiple teams.
• Deep understanding of test architecture, CI/CD systems, and distributed testing strategies.
• Demonstrated leadership in driving engineering standards and cross-team adoption.
• Excellent documentation and communication skills.

What Would Make You Stand Out?

• Proven experience leading Selenium-to-Playwright migration.
• Experience with CI/CD technologies (Jenkins etc.) 

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: 10310
Reporting into: Group Lead, Engineering
Role Type: Individual Contributor

#LI-Hybrid

About NiCE Actimize:

NiCE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud and providing regulatory compliance.

About Us

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotech, we are poised to make a significant impact on how drugs are developed and brought to market.

About the Role

We are looking for a hands-on, experienced QA Engineer  to join our team and take ownership of the company’s engineering testing. This is a critical role for someone who thrives in a fast-paced startup environment and is eager to help scale our Engineering infrastructure while ensuring our product excellence.
As a System QA, you will be responsible for E2E testing features of our fast-evolving product, by building a complex  environment and simulating customers' requirements. You will be the only gatekeeper for various new features and enhancements before they are deployed .

Responsibilities

• Hands-on experience and in-depth knowledge of  manual and automation testing
• At least 4 years of Automation (Python) experience in complex, multi-layered SW systems
• Programming experience - scripting and/or OOPA team player with excellent collaboration skills Ability to multi-task and work in a fast-paced environment.
• Experience with SaaS products CCNP/JNCIP certified
• Experience with traffic generators (Trex, breaking-point, Avalanche, Test center)BSc. degree in Computer Science - Advantage
• Work closely with multiple R&D teams across PhaseV
• Enable development teams to own testing and automation as an integral part of delivery
• Design scalable quality strategies, testing frameworks, and quality gates to ensure high standards without slowing down development
• Act as a technical authority as you guide teams on testability, observability, and risk-based testing, as well as non-functional quality aspects such as security, performance, and reliability.
• Partner with Engineering, Product, and DevOps to continuously improve how quality is designed, measured, and enforced across the product lifecycle.
  
  Requirements
  
  At least 4 years of experience in quality testing complex systems Practical hands-on knowledge of cloud technologies (AWS), Kubernetes, Docker
• Hands-on experience with automation frameworks such as Playwright with Python
• Experience with leveraging Generative AI tools to accelerate quality-related tasks: test case creation, bug reporting, scripting/tooling, and more – an advantage
• Ability to guide development teams, provide clear and constructive quality feedback, and challenge design or implementation decisions
• Ability to take ownership using strong problem-solving and decision-making skills