QA Engineer ID66279

🏢 Summary: Senior Application Security Engineer role focused on building automated security controls across the SDLC for a large-scale financial services program. The position centers on Python-based security automation, AI-enabled code scanning, CI/CD security integration, and code-level remediation guidance, with autonomous execution. 🗂️ Requirements: 5+ years of software engineering experience, Python proficiency for security automation and scripting, Application Security or DevSecOps experience, Autonomous execution without daily supervision, Upper-intermediate English 📃 Skills: Python, DevSecOps, AppSec, SAST, DAST, SCA, CI/CD, Java, LLMs 🏢 Description: About the role We are looking for a Senior Application Security Engineer to architect and build automated security layers within the SDLC, engineering AI-enabled secure code scanning, hardened baseline automation, and CI/CD security tooling integration within a large-scale financial services program. You will work primarily in Python to build automated security runbooks, deploy and tune scanning tools, and provide code-level remediation guidance to development teams — operating with full autonomy and no daily supervision. AppSec and DevSecOps experience is strongly preferred; SAST/DAST/SCA and Java expertise are a plus. What you will do • Engineer and deploy AI-enabled secure code scanning capabilities and "Golden Images" to drive secure-from-the-start adoption. • Automate the development of secure coding patterns and integrate them with traditional and Agentic SDLC workflows. • Architect the integration of continuous security scanning tools (SAST, DAST, SCA) into enterprise CI/CD pipelines, tuning them to eliminate noise. • Act as a senior technical SME, reading and reviewing complex application code (Java/Python) to provide software engineers with highly specific, code-level remediation guidance. Must haves • 5+ years of software engineering experience, ideally with a focus on Application Security and DevSecOps. • Strong coding and architectural proficiency in Python for security automation and scripting. • Fully autonomous execution capability, requiring no daily supervision to map out and build automated security runbooks. • Upper-intermediate English level. Nice to haves • Deep, hands-on expertise deploying and tuning modern application security testing tools, including SAST, DAST, and SCA, and integrating them into complex CI/CD orchestration ecosystems. • Experience integrating LLMs, AI agents, or automated coding assistants to streamline vulnerability triaging or secure code generation. • Advanced application threat modeling experience. • Ability to confidently read, review, and secure enterprise source Java code. Benefits Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation Competitive USD-based compensation and budgets for education, fitness, and team activities. A selection of exciting projects Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands. Flextime Tailor your schedule for an optimal work-life balance, with options to work from home or go to the office. Recruitment process Asynchronous stage — an automated, self-paced track: • Short online form to confirm basic requirements. • 30–60 minute skills assessment via Codility. • 5-minute introduction video. Synchronous stage — live interviews: • Technical interview with the engineering team. • Final interview with future teammates. If it is a match, you will receive an offer.

🏢 Summary: Senior Security Software Engineer role focused on building AI-powered cloud security automation for a large financial services environment. The position develops Python services and REST APIs, AI agents, Rego policies, and Terraform modules to support infrastructure baselining, drift detection, and asset discovery. It requires production integration of OpenAI and Anthropic APIs and cloud deployment experience, preferably on AWS. 🗂️ Requirements: 5+ years of software engineering experience, Strong Python development, including OOP, functional programming, and testing, REST API development experience, LLM API integration in Python applications, Understanding of RAG and vector embeddings, Cloud application deployment experience, Infrastructure as Code with Terraform, Ability to independently deliver complex automation tasks 📃 Skills: Python, REST, OpenAI, Anthropic, RAG, Terraform, AWS, Rego, Regula, FastAPI, LangChain, LangGraph 🏢 Description: ID80138 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Security Software Engineer to build cloud security AI accelerators, writing Python code, developing REST APIs, and implementing GenAI workflows that automate cloud infrastructure baselines, drift detection, and AI asset discovery across a large-scale financial services environment. You will build AI agents for inventory data quality validation, write Rego policies for CI/CD pipeline inspection, generate compliant Terraform modules, and integrate LLM APIs including OpenAI and Anthropic into production automation systems. The role requires 5+ years of software engineering experience with strong Python fundamentals and hands-on LLM API integration. What you will do Build and implement AI agents to automate inventory data quality validation, reconciliation, and ownership attribution, reducing manual security operations efforts. Write and validate Rego policies and Regula test cases that inspect Terraform passing through CI/CD pipelines. Generate compliant Terraform modules based on AI-accelerated configuration requirements for new cloud resources, such as AWS S3. Develop robust REST APIs and scripts that routinely perform drift detection, deploy live test resources, and verify expected outputs from cloud service endpoints. Must haves 5+ years of hands-on software engineering experience. Strong Python development fundamentals, including clean, maintainable code, OOP and functional programming patterns, and testing. Proven REST API development experience. Hands-on experience integrating LLM APIs , such as OpenAI and Anthropic, into Python applications, with a baseline understanding of developer-centric AI concepts such as RAG and vector embeddings. No ML model training or data science background is required. Practical experience deploying applications to cloud environments , preferably AWS, and writing Infrastructure as Code (Terraform) . Ability to operate with minimal supervision on day-to-day execution and reliably complete complex automation tasks. Nice to haves Experience building high-performance endpoints using FastAPI. Hands-on scripting experience with LangChain or LangGraph. Practical experience writing Rego policies for Wiz Custom Configuration Rules or Regula. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior Backend Engineer role focused on building and maintaining multi-cloud Java services in a microservices, event-driven environment. The position includes test automation, production-code optimization, technical problem-solving, and support for service providers. 🗂️ Requirements: 4+ years of web development experience in similar environments, Bachelor’s degree in Computer Science, Information Security, or related technology field, Java 8, Spring, and Spring Boot expertise, Microservices and event-driven systems experience, Code and business-process documentation experience, Complex requirements and business-process analysis experience, Internal tools and reusable architecture development experience, Production code optimization and performance improvement experience, Application debugging, refactoring, and production-issue reproduction experience, JUnit and Mockito testing experience, Git experience, Commitment to code quality and ownership, Strong problem-solving and continuous-improvement approach, Upper-intermediate English 📃 Skills: Java, Spring, SpringBoot, Microservices, JUnit, Mockito, Git, AWS, ECS, SNS, SQS, RedShift 🏢 Description: ID77083 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior Backend Engineer to develop and maintain multi-cloud platform services using Java 8 and Spring Boot , contributing to microservices architecture and event-driven systems within a small, high-ownership team. You will optimize production code, write unit and system tests using JUnit and Mockito, support complex business requirements gathering, and monitor service providers in the field. Experience in financial, accounting, or logistics software is a strong plus. What you will do Develop multi-cloud platform services as part of a small engineering team; Build and maintain automation frameworks to execute developer-written tests in private and public cloud environments; Optimize code, ensure engineering best practices are followed, and support the team in resolving technical challenges; Monitor and support service providers using the application in the field. Must haves 4+ years of experience in web development in similar environments; Bachelor’s degree in Computer Science, Information Security, or a related technology field; Strong knowledge of Java 8 , Spring , and Spring Boot ; Experience with Microservices and event-driven systems; Experience creating documentation for code and business processes; Experience gathering and navigating complex requirements and business processes; Experience developing internal tools and reusable architecture; Experience optimizing code and improving performance for production systems and applications; Experience debugging, refactoring applications, and reproducing production issues; Experience with testing frameworks including JUnit and Mockito ; Experience with Git ; Commitment to code quality and ownership of developed applications; Strong problem-solving skills with a proactive approach to continuous improvement; Upper-intermediate English level. Nice to haves Experience working with financial or accounting backends; Experience with Test-Driven Development (TDD); Experience with logistics software, delivery, transportation, route planning, or roadside assistance domains; Experience with AWS services such as ECS, SNS, SQS, and RedShift; Experience in architectural design, code reviews, and SOLID principles. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Senior QA Automation Engineer role focused on building automated validation for enterprise GenAI products across UI, APIs, databases, and ETL workflows. The position uses Python and Playwright to develop scalable test frameworks and ensure AI output, data quality, and end-to-end process reliability, including in regulated environments. 🗂️ Requirements: 5+ years in QA Automation, Test Automation Engineering, or SDET, Python proficiency, Playwright experience, WebUI test automation experience, API testing and automation experience, Database testing knowledge, Strong SQL skills, ETL, data pipeline, or complex data workflow validation experience, Automated testing across UI, API, and data layers, AI-powered, GenAI, or LLM-based application testing knowledge, Analytical and problem-solving skills, Cross-functional and international team collaboration 📃 Skills: Python, Playwright, WebUI, API, SQL, ETL, GenAI, LLM 🏢 Description: We are looking for a Senior QA Automation Engineer to help build and validate enterprise-scale GenAI products. The ideal candidate combines strong automation skills with experience in API, database, and ETL testing and understands how to validate AI-powered applications in regulated environments. What you will do: - Design and develop automated testing solutions for GenAI products. - Build and maintain scalable test frameworks using Python and Playwright. - Design, implement, and execute WebUI and API test automation. - Create validation strategies for AI-powered applications and GenAI workflows. - Validate AI-generated outputs, data quality, and end-to-end business processes. - Develop and execute automated testing for database integrations and ETL processes. - Create SQL-based validation scenarios to ensure data consistency and integrity. - Collaborate with engineering and product teams to improve quality, reliability, and test coverage. - Contribute to automation and quality engineering best practices across the software development lifecycle. What we are looking for: - 5+ years of experience in Test Automation Engineering, QA Automation, or SDET roles. - Strong proficiency in Python. - Hands-on experience with Playwright. - Experience with WebUI test automation. - Experience with API testing and automation. - Strong understanding of databases and database testing. - Strong SQL skills. - Experience validating ETL processes, data pipelines, or complex data workflows. - Extensive validation experience, preferably in regulated industries such as Pharma, Healthcare, Banking, or Financial Services. - Experience building automated testing solutions across UI, API, and data layers. - Understanding of AI-powered applications, GenAI products, or AI-assisted testing approaches. - Strong analytical and problem-solving skills. - Experience testing LLM- or AI-based applications. - Ability to collaborate effectively in cross-functional and international teams. Nice to have: - Experience with AWS and cloud-based testing environments. - Experience with Apache Airflow, Neo4j, Postman, Cypher/OpenCypher, MCP (Model Context Protocol), or AWS Bedrock. - Knowledge of data quality or machine learning validation practices. Perks and benefits: - Comprehensive benefits including Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers. - Adaptable working hours and remote/hybrid work options. - Professional development and learning opportunities, including partnerships with Microsoft, AWS, Snowflake, and Salesforce. - Collaboration with a diverse, international team. - A forward-thinking, growth-oriented workplace. - Team-building events, hackathons, and CSR initiatives. - Annual company event in Mazury. - Welcome pack.

🏢 Summary: Senior QA/Test Automation Engineer role supporting a complex asset lifecycle and investment decision product suite. The position combines manual and automated testing, release quality, CI/CD improvement, and agile in-sprint testing to strengthen reliability across web, API, integration, and data-driven products. 🗂️ Requirements: Manual and automation testing experience across the SDLC, Automated web application and API testing experience, Playwright, Postman, JMeter, JUnit or NUnit knowledge, Azure DevOps and Git experience, Complex application and business-context testing ability, Agile delivery team collaboration experience, Analytical mindset and attention to detail, Automation strategy design for business-critical validation, Strong communication and proactive quality-improvement approach 📃 Skills: Playwright, Postman, JMeter, JUnit, NUnit, Azure, DevOps, Git, CI/CD, API 🏢 Description: We are looking for an experienced Senior QA Engineer / Test Automation Engineer to support the continued development of a complex product suite used in an asset lifecycle and investment decision environment. The platform supports business-critical processes by ensuring that assumptions, calculations, data, and reporting remain transparent, traceable, and reliable across multiple teams and projects. This role is focused on improving the testing approach, increasing automation coverage, and helping teams move towards more efficient in-sprint agile testing. You will work closely with developers, engineers, and product stakeholders to improve quality across releases and strengthen the automation and deployment process. About the role You will work with a set of digital products that include case management and orchestration capabilities, specialist tools for forecasting and cost estimation, data-driven components for market assumptions, and reporting/analytics layers. The role combines manual testing, automation, release quality, and CI/CD improvements. A strong understanding of complex business logic, financial calculations, or engineering-heavy applications will be valuable. Key responsibilities Support the shift from waterfall-style testing towards in-sprint agile testing. Design, maintain, and execute manual and automated tests for web applications, APIs, integrations, and data-related scenarios. Work with developers and engineers to ensure quality is built into each release. Increase test coverage and reduce the number of repetitive manual test cases through automation. Build and improve automated testing across the software development lifecycle. Support improvements in the software release process through automation. Help set up environments and deployments for system and integration testing used by multiple teams. Contribute to pipeline standards that can be reused across projects. Validate the integrity of complex business logic, including financial calculations and engineering-related tools. Collaborate with product teams to ensure test strategies reflect real business and domain requirements. Requirements Experience as a Manual and Automation Test Engineer, with hands-on automation experience across different stages of the SDLC. Experience creating automated tests for web applications and APIs. Practical knowledge of testing tools and frameworks such as: Playwright Postman JMeter JUnit / NUnit Experience with CI/CD-related tools such as Azure DevOps and Git. Ability to understand and test complex applications with strong business and product context. Experience working closely with developers in agile delivery teams. Strong analytical mindset and attention to detail. Ability to design automation strategies that support business-critical validation. Good communication skills and a proactive approach to improving quality. Nice to have Experience testing applications involving complex calculations, financial logic, forecasting, cost estimation, or engineering domains. Experience building reusable test automation standards across multiple teams or products. Experience supporting release automation and deployment pipelines. Understanding of cloud environments and integration testing setups. Ability to apply domain knowledge to test design and automation logic.

🏢 Summary: Oferta dla Senior QA Automation Engineera obejmuje projektowanie skalowalnych frameworków automatyzacji oraz zapewnianie jakości aplikacji webowych, mobilnych i API. Rola koncentruje się na automatyzacji testów w ekosystemie Java, integracji z CI/CD, testach end-to-end i koordynacji działań QA. 🗂️ Requirements: 7–10 lat doświadczenia w Quality Assurance i automatyzacji testów, Bardzo dobra znajomość Java, Doświadczenie z Maven, Automatyzacja testów Web, Mobile (iOS/Android) i API, Znajomość Selenium lub Playwright, Znajomość Appium lub narzędzi do automatyzacji mobile, Znajomość Perfecto, Znajomość Cucumber i BDD, Znajomość Gherkin, feature files, step definitions i tagów, Doświadczenie z TestNG, Znajomość narzędzi do testowania API, Doświadczenie z Jenkins, GitHub Actions lub Azure DevOps, Znajomość AWS i testowania aplikacji chmurowych, Bardzo dobra znajomość SQL, Doświadczenie z JIRA, Zephyr lub podobnymi narzędziami, Znajomość dobrych praktyk automatyzacji testów, Umiejętność pracy w Agile, Zdolności analityczne i rozwiązywania problemów 📃 Skills: Java, Maven, Selenium, Playwright, Appium, Perfecto, Cucumber, Gherkin, TestNG, Postman, REST, SOAP, Jenkins, GitHub, Azure, AWS, SQL, JIRA, Zephyr, Agile 🏢 Description: Poszukujemy doświadczonego Senior QA Automation Engineera, który będzie odpowiedzialny za projektowanie i rozwój nowoczesnych frameworków automatyzacji testów oraz zapewnienie wysokiej jakości aplikacji webowych, mobilnych i API. To rola dla osoby z mocnym doświadczeniem technicznym i praktycznym podejściem do automatyzacji. Zakres obowiązków Projektowanie i rozwój skalowalnych frameworków automatyzacji testów dla aplikacji webowych, mobilnych (iOS/Android) oraz API w projektach opartych o Java i Maven. Tworzenie oraz utrzymywanie skryptów automatyzujących z wykorzystaniem Selenium, Playwright, Appium oraz integracja z pipeline'ami CI/CD. Budowa frameworków BDD z wykorzystaniem Cucumber, w tym tworzenie feature files, step definitions oraz komponentów wielokrotnego użytku. Pisanie i wykonywanie scenariuszy testowych w standardzie Given/When/Then oraz zarządzanie wykonaniem testów przy użyciu tagów (np. @smoke, @regression). Konfiguracja środowisk testowych oraz zarządzanie wykonaniem testów przy użyciu Maven i TestNG. Testowanie aplikacji webowych, mobilnych (iOS/Android) oraz API (REST i SOAP). Walidacja procesów end-to-end obejmujących warstwę UI, API oraz backend. Definiowanie strategii automatyzacji oraz optymalnego podziału testów manualnych i automatycznych. Integracja testów z procesami Continuous Integration i Continuous Delivery (Jenkins, GitHub Actions, Azure DevOps). Współpraca z aplikacjami działającymi w środowisku AWS. Koordynacja działań QA w obszarze testów funkcjonalnych, integracyjnych oraz regresyjnych. Wsparcie procesów release management poprzez wykonywanie testów regresyjnych, raportowanie jakości oraz zarządzanie defektami. Utrzymywanie pełnej identyfikowalności pomiędzy wymaganiami biznesowymi, scenariuszami testowymi oraz zgłoszonymi błędami. Ścisła współpraca z zespołami Developerskimi, Product Ownerami oraz Architektami w celu zapewnienia wysokiej jakości produktu od najwcześniejszych etapów rozwoju. Analiza przyczyn błędów (Root Cause Analysis) oraz zarządzanie defektami przy użyciu JIRA i podobnych narzędzi. Wymagania Minimum 7–10 lat doświadczenia w obszarze Quality Assurance, ze szczególnym uwzględnieniem automatyzacji testów. Bardzo dobra znajomość Java oraz projektów opartych o Maven. Praktyczne doświadczenie w automatyzacji testów aplikacji webowych, mobilnych (iOS/Android) oraz API. Bardzo dobra znajomość narzędzi: Selenium lub Playwright, Appium (lub innych narzędzi do automatyzacji mobile), Perfecto (testy urządzeń mobilnych) Bardzo dobra znajomość Cucumber (BDD), w tym: Gherkin, feature files, step definitions, zarządzanie tagami i wykonaniem testów. Doświadczenie z TestNG. Znajomość narzędzi do testowania API, takich jak Postman, REST Assured lub SOAP UI. Doświadczenie z narzędziami CI/CD (Jenkins, GitHub Actions lub Azure DevOps). Znajomość środowisk AWS oraz testowania aplikacji chmurowych. Bardzo dobra znajomość SQL. Doświadczenie z narzędziami do zarządzania testami i defektami (JIRA, Zephyr lub podobne). Znajomość najlepszych praktyk związanych z automatyzacją testów. Umiejętność pracy w środowisku Agile oraz rozwinięte zdolności analityczne i rozwiązywania problemów. Mile widziane Doświadczenie w sektorze bankowym, finansowym lub przy dużych systemach enterprise. Budowanie frameworków automatyzacji od podstaw lub ich skalowanie. Doświadczenie w testowaniu rozwiązań obejmujących jednocześnie Web, Mobile oraz API. Znajomość strategii testowania wieloplatformowego oraz platform Mobile Cloud. Doświadczenie w testach wydajnościowych lub innych testach niefunkcjonalnych. Jeżeli szukasz projektu, w którym automatyzacja odgrywa kluczową rolę, cenisz pracę z nowoczesnym stosem technologicznym i chcesz mieć realny wpływ na jakość rozwijanych produktów – zapraszamy do aplikowania.

🏢 Summary: Lead Security Software Engineer role focused on building GenAI-driven cloud security automation for a large financial services environment. The position architects RAG and LLM integrations for cloud baselines, policy generation, Terraform compliance, and security drift detection while leading an engineering pod. 🗂️ Requirements: 6+ years of software engineering experience, Cloud infrastructure architecture experience, Advanced Python development, REST API design, GenAI API integration experience, RAG knowledge, Vector database knowledge, Cloud architecture experience, AWS experience, Terraform Infrastructure as Code design, Experience leading and mentoring senior engineers, Upper-intermediate English 📃 Skills: Python, REST, OpenAI, Anthropic, RAG, AWS, Terraform, English 🏢 Description: ID80140 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Lead Security Software Engineer to architect GenAI workflows and automation systems that translate manual cloud security adoption into AI-accelerated pipelines within a large-scale financial services environment. You will design RAG-based systems and LLM API integrations to automate secure cloud baseline generation, Rego policy creation, and Terraform module compliance, while leading a localized engineering pod and acting as the primary technical point of contact for cloud security tooling. What you will do Architect Generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of configuration requirements, Rego policies, and Terraform modules for new cloud services (e.g., AWS S3). Oversee the development of automated drift detection, continuous discovery, and gap analysis capabilities to identify unmanaged AI assets and configuration anomalies. Guide the engineering pod in generating and validating compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines. Act as the primary technical point of contact for a Cloud Security Tooling (CST) team, leading a localized pod to ensure scalable, maintainable, and highly effective automation frameworks. Must haves 6+ years of software engineering experience with a strong architectural focus on Cloud infrastructure. Advanced Python development and REST API design capabilities. Practical experience integrating Gen AI APIs into software applications (e.g., OpenAI, Anthropic) and a working understanding of developer-level concepts like Retrieval-Augmented Generation (RAG) and Vector databases . (Note: We need software builders, not Machine Learning researchers.) Deep Cloud Architecture experience ( AWS preferred) and proven ability to design Infrastructure as Code (Terraform). Proven capability to lead and mentor senior engineers in an autonomous, follow-the-sun model. Upper-intermediate English level. Nice to haves Experience building high-performance endpoints using FastAPI. Hands-on scripting experience with LangChain or LangGraph. Practical experience writing Rego policies for Wiz Custom Configuration Rules or Regula. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!