Location: Tokyo, Japan; Barcelona, Spain; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Mandarin Chinese speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Mandarin Chinese, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Mandarin Chinese and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Tokyo, Japan; Barcelona, Spain; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Malay speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Malay speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Malay, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Malay and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Tokyo, Japan; Barcelona, Spain; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Thai speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Thai speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Thai, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Thai and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Tokyo, Japan; Barcelona, Spain; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Tagalog speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Tagalog speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Tagalog, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Tagalog and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Tokyo, Japan; Barcelona, Spain; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Swahili speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Swahili speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Swahili, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Swahili and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Tokyo, Japan; Barcelona, Spain; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Vietnamese speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Vietnamese speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Vietnamese, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Vietnamese and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Tokyo, Japan; Barcelona, Spain; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Korean speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Korean, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying
MAIN RESPONSIBILITIES
Review pre-release AI model output in Korean and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Tokyo, Japan; Barcelona, Spain; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Japanese speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Japanese, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying
MAIN RESPONSIBILITIES
Review pre-release AI model output in Japanese and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Urdu (Romanized) speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Urdu (Romanized) speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Urdu (Romanized), and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Urdu (Romanized) and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Bengali speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Bengali speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Bengali, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Bengali and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Hindi (Romanized) speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Hindi (Romanized) speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Hindi (Romanized), and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Hindi (Romanized) and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Barcelona, Spain; Tokyo, Japan; Portland, OR
Workplace: onsite
About Welocalize
Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.
Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com
ROLE OVERVIEW
Welocalize is looking for a native-level Urdu speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
Welocalize is looking for a native-level Urdu speaker to join a large-scale AI and consumer technology programme.
It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Urdu, and your judgement shapes how well it works before anyone else uses it.
If you enjoy noticing the detail other people miss, this is work you'll find satisfying.
MAIN RESPONSIBILITIES
Review pre-release AI model output in Urdu and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.
Location: Hong Kong, Hong Kong SAR
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on
a business of
operating a virtual asset trading platform in Hong Kong.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for talented, impact-driven Mobile Engineers to join our engineering organization in Hong Kong. In this role, you will build and scale high-performance, resilient native mobile applications that power OKX’s core product ecosystems—ranging from high-concurrency payment and trading engines to user acquisition, engagement, and product growth systems. You will work on cross-functional engineering challenges at global scale, partnering closely with product design, backend architecture, security, and regional teams.
What You'll Be Doing
Build & Scale Native Mobile Apps:
Design, develop, and maintain modular, reliable native mobile features (iOS or Android) used by millions of global users.
Architect Core Systems:
Drive technical decision-making on mobile architecture, API design, performance optimization, and offline/network resiliency.
Collaborate Cross-Functionally:
Partner closely with Product Management, Design, and Backend Engineering to translate complex user and commercial requirements into intuitive, reliable mobile experiences.
Ensure Quality & Rigor:
Write clean, testable, and maintainable code while maintaining high engineering standards for code reviews, testing, security, and monitoring.
Integrate AI Workflows:
Apply AI coding tools actively in your workflow—not only for code generation, but also to build and maintain repeatable personal AI development workflows.
Modernize Engineering Tooling:
Leverage modern development tools, automated CI/CD pipelines, and productivity workflows to maintain rapid iteration speeds.
What We Look For In You
Solid software engineering fundamentals with hands-on experience building, shipping, or maintaining production native mobile applications (iOS with Swift/Objective-C or Android with Kotlin/Java).
Strong understanding of mobile system design, clean architecture, memory management, testing, and performance tuning.
Ability to actively apply AI coding tools in your workflow and continuously optimize personal engineering productivity.
Problem-solving mindset with the ability to take ownership of end-to-end features and drive execution independently.
Nice-To-Haves
Experience in fintech, crypto, digital payments, high-concurrency consumer apps, or growth systems.
Familiarity with mobile architecture patterns, CI/CD pipelines, experimentation frameworks, or attribution tools.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ML1 #LI-ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Zscaler is looking for an Account Executive based in Chicago to join their Sales and Go-to-Market team, reporting to the Regional Director. The role involves building relationships with important internal and customer stakeholders, including c-suite decision-makers; creating a long-term account strategy aligned with customer goals; collaborating with teams to meet customer needs and contribute to account planning; and being a trusted advisor by understanding client businesses and aligning Zscaler solutions with their goals.
Minimum qualifications include demonstrated curiosity and active exploration of AI tools with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving, 2+ years of full-cycle sales experience within the software or security industry, a Bachelor’s degree or equivalent experience, and progressive selling experience engaging with accounts.
Preferred qualifications include established relationships with current and prospective customers with a deep understanding of how technology facilitates high-level business goals, proficiency in strategic sales planning with a proven track record of closing net new logos, and experience meeting or exceeding sales targets through the effective use of channel partnerships.
The salary range for this full-time position is $90,300 to $129,000 USD per year, excluding commission, bonus, equity, and benefits. Benefits include various health plans, time off plans for vacation and sick time, parental leave options, retirement options, education reimbursement, in-office perks, and more. The position supports a hybrid working model with remote work options.
Zscaler is committed to equal employment opportunities and fostering an inclusive environment that values all backgrounds and perspectives. The company complies with all applicable pay transparency rules and provides reasonable accommodations in recruiting processes for candidates with diverse needs.
By applying, candidates adhere to applicable laws, regulations, and Zscaler policies related to security and privacy standards.
What we're looking for:
— 2+ years of experience in test automation
— Strong Python skills for writing and debugging test scripts
— Experience with Pytest, Cypress, or similar frameworks
— Understanding of client-server architecture and microservices
— Experience with CI/CD tools such as GitHub Actions
— Familiarity with web application security and performance testing
— Experience with Git and QA methodologies
Nice to have:
— JavaScript/TypeScript
— API testing experience (Postman, Swagger)
— Databases (PostgreSQL, SQLite)
— Kubernetes and performance testing experience
Компания AST Cyber Lab — интеграторы в сфере кибербезопасности, которые занимаются направлением Application Security и DevSecOps. Организаторы ежегодной конференции AppSecFest.
Задачи:
Менеджер по работе с клиентами B2B
Требования:
Опыт работы в IT-компаниях в области продаж, развития бизнеса, выстраивания отношений с Клиентами (от 1 до 3 лет желательно);
Отличное знание специфики IT, Информационной Безопасности
Желание и умение самообучаться;
Высокий уровень коммуникативных и презентационных навыков.
Знание английского языка
Условия:
Молодая и динамичная компания
Офис класса А
Хорошие бонусы от продаж
Location: Remote
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv.
Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products.
Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it.
You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here.
WHAT YOU'LL DO
- Own detection and response end to end: what we log, what we alert on, how we triage and how we recover
- Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume
- Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read
- Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit
- Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls
- Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one
- Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find
- Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team
- Participate in an on-call rotation for security incidents
WHAT YOU'LL NEED
- Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward
- Experience building and tuning detections in a modern SIEM, ideally managed as code
- Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs
- Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools
- Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity
- Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job
- Judgment about what to alert on, what to automate and when to wake someone up
EVEN BETTER IF YOU HAVE
- Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets
- Experience building detections or guardrails for AI agents, LLM tooling or MCP servers
- Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody
- Published open source detection content
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Задачи:
— Проектирование, разработка и внедрение высоконагруженных и отказоустойчивых back-end сервисов для стримингового сервиса KION с аудиторией более 4 миллионов активных пользователей для различных устройств
— Участие в принятии архитектурных решений (выбор технологий, шаблонов проектирования, принципов взаимодействия сервисов)
— Оптимизация производительности и отзывчивости сервисов, работа с высокими нагрузками (пиковые нагрузки во время премьер, трансляций)
— Участие в планировании задач
— Технический менторинг junior и middle-разработчиков в команде
— Составление и поддержание технической документации (Confluence, Swagger/OpenAPI)
— Активное участие в дискуссиях, предложение идей по улучшению продукта и технологического стека
Требования:
— Опыт коммерческой разработки на Kotlin/Java от 3 лет
— Опыт работы с фреймворками Spring: глубокое понимание Spring Boot, Spring Core, Spring Data JPA, Spring MVC, Spring Security
— Знание принципов IoC/DI
— Опыт проектирования и потребления RESTful API, понимание принципов HTTP, форматов JSON/XML
— Опыт работы с реляционными БД: умение писать сложные SQL-запросы, понимание индексов, транзакций, нормализации
— Опыт работы с системами кэширования
— Опыт написания unit- и integration-тестов (JUnit, Mockito, Testcontainers)
— Опыт работы с системами контроля версий (Git)
— Понимание принципов микросервисной архитектуры
Условия:
— Оклад + годовой бонус
— Программа ДМС с первого месяца работы с 100% покрытием расходов в частных клиниках, включая стоматологию
— Возможность застраховать близких родственников со скидкой 50%
— Страховка в поездках за границу
— Страхование жизни
— Очное и онлайн-обучение в Корпоративном университете, у внешних провайдеров, обмен опытом во внутренних профессиональных сообществах, доступ к онлайн-библиотеке с книгами и периодикой
— Оплачиваемые выходные на значимые события в жизни сотрудника
— Материальная помощь в сложных жизненных ситуациях
— Корпоративная мобильная связь и интернет, единая подписка МТС Premium
— Предложения от партнёров для путешествий, развлечений и занятий спортом
— Возможность участия в волонтерских программах (благотворительные ярмарки, образовательные проекты, конкурсы социальных и экологических проектов)
— Внутренняя спортивная программа «В движении»: забеги, марафоны, турниры, медитации и занятия на баланс
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.