דרושים » הנדסה » senior QA architect for saas application- sia discovery

we are the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. our ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. job description
as QA architect, you will be collaborating with an individual saas development team, that uses the latest technologies in continuous delivery to secure the top enterprises in the world. you will serve as the QA architect in the r&d team, committed to the quality of the released content and define QA work procedures, guidelines, and design the entire testing process. comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers. develop and maintain expertise in the creation and deployment of fully integrated environments define, implement, and manage QA processes, including the specification of required TEST plans and procedures. actively track the teams tasks, conduct testing of features during development to ensure adherence to specifications and quality standards. perform efficient log analysis and reproduce customer issues quickly to facilitate timely resolution. analyze and challenge existing testing coverage implement automation tests for new features and coverage gaps maintain and prioritize backlogs of open issues and bugs, ensuring effective tracking and resolution. monitor the TEST and production environments, using DevOps tools

We are seeking a QA Engineer with a strong passion for data quality, performance, and scale to join our Data Platform team.
This role is ideal for a QA professional who enjoys working close to complex data systems, understands large-scale pipelines, and wants to play a key role in shaping the automation and quality strategy of a data engineering organization.
You will act as the primary quality owner for high-volume, mission-critical data platforms, working closely with data engineers, backend developers, and platform teams.
What Youll Do:
Data Quality & Validation:
Design and execute data validation strategies for large-scale batch and streaming pipelines
Ensure data correctness, completeness, freshness, and consistency across the data lake
Define and automate checks for schema changes, data drift, and data quality regressions
Performance & Scalability Testing:
Plan and execute performance and scalability tests for data pipelines and processing jobs
Identify bottlenecks across ingestion, transformation, and querying layers
Partner with engineers to validate performance improvements and prevent regressions
Automation & Infrastructure:
Develop and maintain the data teams QA automation infrastructure
Build reusable testing frameworks and tools tailored for large datasets and pipelines
Integrate automated tests into CI/CD pipelines and production monitoring workflows
Collaboration & Ownership:
Work closely with data engineers, backend developers, and platform engineers throughout the development lifecycle
Act as the sole QA owner within a cross-functional team, driving quality without becoming a bottleneck
Participate in design discussions to ensure testability and observability are built in from the start
Quality Mindset & Communication:
Champion a quality-first culture within the team
Clearly communicate risks, findings, and quality metrics to technical stakeholders
Balance thoroughness with pragmatism in fast-moving, high-scale environments.

Own the quality of our companys ReturnGO product and lead both automation and manual QA. Define QA processes across the R&D organization and implement AI tools to automate processes and testing. This is a hands-on leadership role combining technical expertise, mentorship, and close collaboration across teams.
Responsibilities:
Gain ownership of the quality of the ReturnGO product and ensure high-quality releases.
Lead and mentor a QA team of 2 engineers (1 Automation, 1 Manual) alongside hands-on QA work.
Integrate AI tools to automate QA process and testing automation.
Drive quality best practices across R&D with developers and product managers.
Develop, maintain, and improve automated tests using Playwright and Python.
Define quality KPIs to track and improve the quality.

We are looking for an AI Quality & Evaluation Engineer to own the quality planning and execution of an AI-powered chat application operating over complex law enforcement and mobile device data.
This is a highly hands-on role focused on execution rather than high-level QA strategy. You will design, build, and run automated and semi-automated tests for LLM-driven workflows, create evaluation datasets, and continuously stress the system with realistic and extreme investigative scenarios.
What you will be doing:
Design, plan, and execute quality tests for an AI chat application built on LLMs and investigative data.
Build and maintain automation frameworks for prompt regression testing, multi-turn conversations, and model upgrades.
Create and curate evaluation datasets used for regression testing, benchmarking, and model comparison.
Design complex investigative scenarios including ambiguous, incomplete, or conflicting datasets.
Execute manual exploratory testing to uncover hallucinations, reasoning failures, and edge cases.
Work closely with engineering, product, and data teams as part of the development lifecycle.
Validate release readiness and identify regressions related to prompts, models, or data pipelines.
What makes this role different:
You are evaluating AI behavior rather than fixed expected outputs.
You help define what correctness and quality mean for AI reasoning over sensitive data.
You actively invent scenarios to stretch and break the system.
Your work directly impacts trust, reliability, and investigative confidence.

We are looking for a QA Automation Engineer to join our Viewer team and help ensure the reliability, scalability, and performance of our web applications. In this role, you will design and maintain automation frameworks, develop end-to-end tests, and proactively identify issues before they impact our users. You will also be responsible for production releases and managing production bugs, ensuring smooth deployments and quick resolution of critical issues. This position requires strong technical expertise, self-management, and excellent communication skills to collaborate effectively across teams.
Key Responsibilities:
Design and maintain robust test automation frameworks using JavaScript/TypeScript.
Develop and execute automated tests leveraging tools such as Playwright, Selenium, or Cypress.
Collaborate with developers, product managers, and designers to embed quality throughout the development lifecycle.
Debug complex issues using browser DevTools, network logs, and other diagnostic tools.
Integrate automated tests into CI/CD pipelines in partnership with DevOps and engineering teams.
Drive quality initiatives by identifying gaps and proposing improvements in testing processes.

looking for an experienced staff software engineer for our new authentication service. you will be responsible for building this core saas service, built on-top of aws using.net, eks, terraform and other cloud technologies. you will be working with an elite team to produce top-notch services at the highest standards, meeting the high security, stability, and performance standards of the largest enterprises in the world. qualifications
solid experience leading the design, development and delivery of features in saas applications
design and implement the infrastructure of the service
bachelors degree in Computer Science or engineering related field/technology elite unit alumni with relevant experience
7+ years of experience with aws
7+ years of experience in.net core
desire to use new technologies and understand them depth-in
proactive by nature, internal drive for excellence and improvement
good communication skills, fluent in english, good writing skills
autodidact, like to learn new things and share with the team
excellent ability to meet deadlines, while consistently striving for high-quality and efficient solutions good knowledge in containers and container orchestration
experience with development in cloud/saas environment (aws serverless architecture/eks is a definite advantage)
solid understanding of security and high scale best practices
experience with modern ci/cd tools, in particular, github, jenkins, and artifactory
deep understanding of various authentication protocols

We are seeking a talented and experienced Software/System Architect to join our dynamic team. As a System Architect, you will play a crucial role in designing and implementing robust, scalable, and efficient solutions. You will work closely with cross-functional teams, analyze requirements, design solutions and offer technical guidance, ensuring successful development and integration of the end-to-end solution.
Responsibilities:
Design high-availability, fault-tolerant, and scalable distributed systems using microservices, event-driven patterns, and best-practice architectural principles.
Analyze and understand business requirements to create system specifications.
Lead design reviews, evaluate technical proposals, and validate architecture compliance across teams.
Define and maintain system architecture diagrams, including component, sequence and data flow diagrams.
Collaborate with development teams to guide the implementation of the solution
Ensure alignment of technical solutions with business goals and industry best practices.
Oversee system integration, troubleshoot issues, and provide architecture support as needed.
Conduct regular system reviews to identify areas for improvement and optimization.
Collaborate effectively with multiple stakeholders such as product management, professional services, sales, development and production support.

we are the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. our ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. job description
we are looking for a senior product owner to join our cora (generative) ai group. we build ai agents, frameworks and shared infrastructure that power genai capabilities across the company, enabling our product lines to adopt agentic workflows safely, reliably, and at scale.
as the groups senior product owner, you will bridge the gap between emerging ai technologies and production-grade reality. you will own the roadmap for embedding agentic ai solutions across the company, balancing product impact with long-term architectural excellence. collaborating closely with product managers and engineering, you will define how agent-based intelligence can best serve our diverse product lines, while driving the development of both shared infrastructure and bespoke agentic solutions throughout the entire lifecycle - from ideation and implementation to deployment and evaluation. your goal is to gradually build a platform that empowers every product to adopt ai safely, reliably, and at scale. enable the ecosystem: treat other product teams as your customers. deeply understand their product landscapes to ensure our ai platform is flexible enough to support their unique functional needs while maintaining its robustness and architectural integrity.
architect the agentic roadmap: translate high-level product and engineering vision (the why & how) into a concrete plan (the what & when) - forming a prioritized backlog of actionable epics, user stories, and functional specifications that guide the r&d team towards building the platform.
strategic liaison: serve as the primary authority for stakeholders outside the development group, providing deep clarity on platform capabilities, framework logic, and how architectural changes will impact the broader product ecosystem. tactical orchestration: partner daily with r&d to steer the development process - supporting sprint planning, refinement, and high-quality delivery, resolving functional ambiguities, adapting the plan to Real-Time technical/product insights, and ensuring the team maintains high velocity while staying aligned with the strategic vision.
champion iterative value: foster continuous feedback loops between stakeholders and technical teams to enable rapid iteration and deliver meaningful value. qualifications

Were hiring a Senior Architect to shape our end-to-end architecture across domains, services, APIs, cloud infrastructure, and platform foundations - while guiding how AI and automation integrate into our systems.

You will lead high-impact architectural initiatives that shape the future of our products and platforms. Youll tackle complex, company-wide challenges such as redefining service boundaries and domain models for scale, transitioning legacy flows into modern cloud-native and event-driven architectures, and establishing shared platform components that accelerate development across teams. You will also define secure, scalable patterns for AI-driven workflows and integrations, influencing the technical direction of us and enabling the next generation of product capabilities.

This is a high-impact role influencing how we build, scale, and deliver software across the entire company.

Responsibilities:
Own the architecture across our platforms, services, and domains.
Define standards for microservices, APIs, integrations, domain boundaries, reliability, and data flows.
Lead high-level solution design across multiple business and technical areas.
Own AWS architecture: scalability, resilience, networking, security, observability, and cost optimization.
Drive architecture reviews and cross-company engineering decisions.
Guide our approach to AI integration (ADLC), defining patterns and architectural guardrails.
Evaluate and integrate emerging technologies with meaningful business impact.
Build and evolve the Engineering Platform (templates, paved roads, tooling, SDKs, inner-source foundations).
Collaborate across R&D, Product, DevOps, Security, BI, Marketing, and Sales.
Mentor senior engineers and promote best practices.