Вакансии

Escalation Management & Complex Ticket Handling. Lead high-priority or complex support issues, including those involving multiple teams or external partners.

This Senior Solutions Engineering role, similar to a Sales Engineering or Solutions Consultant role, sits within Alloy's pre-sales organization. You will be a partner who works closely with your account executive to close deals.

-Анализ бизнес-требований и участие в планировании доработок. -Написание и поддержка автоматизированных тестов на Python (pytest) для бэкенд-сервисов.

Location: Amsterdam Workplace: OnSite ABOUT US: Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi.   ABOUT THE ROLE: We’re looking for a seasoned Fullstack Mobile Engineer to help shape the core experience for thousands of restaurant teams. This is a senior role focused on building performant, polished applications across mobile platforms. You’ll lead development of cross-platform features, collaborate closely with design and product, and contribute to shared backend components when needed. You should bring a strong product mindset, care deeply about developer experience, and be excited about building better software, faster. This role is ideal for someone who has experience shipping real-world apps, and is looking to make high-impact technical decisions in a fast-moving team.   Our Tech Stack: We use Kotlin multiplatform and Jetpack Compose. Everything runs in GCP and our database it’s Postgres.   WHAT YOU WILL DO: - Work on the development of our app architecture across Android and iOS - Design and implement shared business logic and client code, as well as platform-specific UI components where needed - Work closely with designers, PMs, and other engineers to deliver intuitive, delightful product experiences - Contribute to backend services where necessary, ensuring tight integration and performance across the stack - Continuously improve build tooling, developer experience, and code quality - Play a critical role in shaping how Tebi scales across new markets, languages, and user types   WHAT YOU BRING: - 7+ years of experience in software engineering, with deep expertise in mobile engineering - Strong experience building and shipping Android apps; familiarity with iOS and multiplatform development patterns. - Strong experience with Kotlin - Comfortable owning architecture decisions and collaborating with cross-functional teams to ship features - A strong product mindset, you care about solving real problems for users, not just writing code - Great communication skills and a pragmatic approach to building scalable systems If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careers.   BENEFITS: - Start-up Equity - Competitive Salary - Lunch Provided in Office - Team building events - Unlimited time off Note: Interviews will start after the 14th of September.   What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy.   How we use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.

• Проводить ручное тестирование web- и mobile-приложений; • Разрабатывать и поддерживать автотесты для backend и frontend;

Location: Belgrade; Tbilisi; Madrid; Valencia; Poland; Lisbon; Riga; Tallinn; Yerevan Workplace: remote About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are searching for an experienced QA automation engineer who will join our team and work on improving quality of our constantly growing product. Responsibilities: Write and maintain automated tests for Web, Android, Windows, iOS, macOS platforms applications Collaborate with the product, development and delivery teams Monitor and report of tests progress utilizing modern tools and methods Proactively share best practices, ideas and knowledge with the team Requirements: 3+ years of experience in test automation (at least 2 years with web and api automation) Programming skills with Java and Kotlin (or willing to learn Kotlin) Proficient in automation tools such as Selenium, Appium, and testing frameworks like JUnit, TestNG Experience with REST, GraphQL, gRPC Hands-on experience with IntelliJ (or other JetBrains IDEs) Experienced with browser developer tools in Chrome, Safari, and Firefox, basic JavaScript knowledge Experience in writing clean, maintainable, and easily readable code Excellent communication and problem-solving skills Attention to detail and a passion for delivering high-quality results Upper-Intermediate English level Knowledge of Russian language As part of the hiring process, you will be asked to complete a test. Please note that you should be prepare working as a Contractor under B2B service agreement. What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role & impact As an Engineering Manager in our Machine Learning & AI team, you'll lead a high-performing, inclusive team of engineers building and operating AI-powered experiences and capabilities across Xero. The team's work spans traditional machine learning, from predictive models and intelligent automation through to LLM-powered and agentic AI experiences that bring new ways for customers to interact with and get value from Xero. - You'll lead engineering across a broad range of technology surfaces, from customer-facing AI experiences and intelligent product workflows to the backend services, platforms and infrastructure that power them. You'll help turn research, models and emerging AI capabilities into reliable, secure and scalable production products that make a real difference for millions of small businesses. - You'll balance predictable delivery with a relentless focus on engineering quality and system health, building our maturity across MLOps, LLMOps, observability, evaluation and the operational practices needed to run AI systems in production. As AI continues to evolve, you'll also champion AI-native engineering practices and help your team adapt how we design, build, test and operate software. - Working closely with senior individual contributors, including staff and principal engineers, you'll help shape technical direction while focusing on team growth, delivery excellence and sustainable engineering practices. This is a role for someone who wants to build both the systems and the people that enable Xero to deliver AI-powered products at scale. The team & how they connect You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team partners closely with Applied Science, Data Engineering, Product and other engineering teams to bring AI capabilities from research and experimentation into production. Our scope goes beyond building and serving models. We build the end-to-end engineering capabilities that bring AI to life in Xero's products, spanning traditional ML-powered automation and predictions, conversational AI assistants, LLM-powered workflows and agentic experiences. This means working across the full stack, integrating AI into customer experiences and product workflows while building the front end & backend services, platforms and infrastructure needed to make those experiences safe, reliable and scalable. It's a collaborative, evolving space where you'll help translate advances in ML and generative AI into practical customer outcomes, while building the engineering foundations to support the next generation of AI-native products. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work. Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You'll have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for, for this role - You'll bring a strong track record of leading, coaching and developing engineers, building team capability and creating an environment where people can do their best work. - You have strong technical judgement across architecture, system design and engineering trade-offs, and can guide decisions across a broad and evolving technology landscape. - You've translated business goals into executable engineering plans, balancing near-term delivery with long-term technical health and maintainability. - You're experienced in delivering roadmaps predictably in fast-paced, evolving environments, navigating ambiguity and adapting as priorities and technology change. - You understand what it takes to build and operate production-grade software, from customer-facing experiences and backend services through to distributed systems, platforms and infrastructure. - You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team, support an incident or help resolve a complex technical challenge. - Experience with machine learning, generative AI or AI-powered products is a bonus rather than a requirement. You don't need to be an ML specialist, but genuine curiosity about the space and an appetite to learn how these technologies are changing software engineering will help you thrive here. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Тестирование веб платформы: Проверка работоспособности, корректности работы бизнес-логики и сценариев переходов . Валидация того, как платформа обрабатывает созданные пользователем сущности и связи между ними;

Location: Europe or US About the SQL Console Team The SQL Console team operates with a great degree of autonomy inside ClickHouse, building the rich web interfaces, interactive query environments, data visualization dashboards, and dynamic AI agents that developers use daily to interact with ClickHouse Cloud. We solve extreme UI performance and scalability challenges that only a handful of tech companies in the world ever reach. We are builder-first, heavily leverage modern AI coding tools like Cursor and Claude, and give engineers end-to-end product ownership. What You Will Do - Build highly interactive React web applications, developer tools, and IDE extensions handling real-time, high-throughput data streaming. - Optimize frontend rendering performance, state management, and DOM virtualization for large-scale datasets and complex visualizations. - Write high-performance Node.js / Express services when API, data streaming, or backend optimizations are required. - Act with a founder mindset: take ambiguous product problems, architect clean solutions, and ship maintainable code with high autonomy. - Leverage modern AI development tools (Cursor, Claude, Codex) as force multipliers to ship features rapidly. What We Are Looking For - React Architecture Depth: Deep expertise in building complex, state-heavy web applications in React (Zustand, Redux, TanStack Query, or Context API). - Rendering & Data Viz Performance: Proven ability to handle high-volume data rendering using DOM virtualization (react-window), Canvas/D3.js, or memoization techniques. - Full Stack Comfort (Node.js): Strong hands-on experience writing asynchronous Node.js / Express microservices and streaming APIs. - Founder / Builder Mindset: Previous experience as a startup founder, side-project creator, or early engineer who thrives in fast-paced environments without rigid specifications. Nice to Haves - Experience building VS Code extensions, web-based IDEs, query editors (Monaco), or developer tools. - Hands-on experience with ClickHouse or columnar real-time databases. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

What you’ll work on Build ARCore-based capture workflows for scanning real-world environments. Work directly with ARCore sessions, tracking states, camera poses, anchors, and coordinate systems.

About the Position Design and develop state-of-the-art algorithms, automation, and services in support of a cloud-based service that helps our customer resolve identities across their fleet of databases.

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Vulnerability Management Engineer to join our team! About the Role The Vulnerability Management Engineer drives risk-based vulnerability and exposure management across infrastructure, applications, cloud services, endpoints, and software dependencies. The role combines vulnerability data, asset and configuration intelligence, application-security testing, threat intelligence, and AI-assisted analysis to determine whether vulnerabilities are reachable, exploitable, and likely to represent an imminent organizational threat. Key Responsibilities Correlate threat intelligence and vulnerability findings with asset inventory, software configuration, system configuration, application testing, network exposure, ownership, and business criticality. Assess exploitability and reachability rather than relying on vulnerability severity alone. Incorporate exploit prediction, known exploitation, open-source threat intelligence, adversary activity, and environmental context into prioritization. Determine whether exposure requires immediate incident response or remediation under established operational objectives. Use AI-assisted workflows to ingest and correlate vulnerability intelligence against the organization's actual technology configuration while independently validating conclusions. Partner with Red Team to validate practical exploitability of significant vulnerabilities. Identify compensating controls such as configuration changes, access restrictions, segmentation, or filtering when immediate patching is impractical. Automate vulnerability ingestion, analysis, prioritization, remediation tracking, mitigation, and verification where appropriate. Qualifications Experience with enterprise vulnerability or exposure management. Strong understanding of infrastructure, applications, cloud, containers, networking, and software dependencies. Experience interpreting vulnerability intelligence and assessing practical exploitability. Knowledge of risk-based prioritization techniques including CVSS, exploit prediction, known-exploitation intelligence, and environmental context. Experience correlating vulnerability, asset, configuration, SAST, DAST, SCA, endpoint, or related security data. Experience with scripting, automation, or data analysis. Familiarity with continuous exposure management, attack-path analysis, AI-assisted analysis, or automated mitigation is preferred. Strong understanding of OWASP Top 10, MITRE ATT&CK, MITRE D3FEND, and STRIDE. Familiarity with OWASP Top 10 for LLM, OWASP Top 10 for Agentic Applications, MITRE ATLAS and MAESTRO. At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Red Team Security Engineer to join our team! About the Role The Red Team Security Engineer continuously validates whether vulnerabilities, configurations, identities, applications, infrastructure, and AI-enabled systems can be exploited by realistic adversaries. The role combines traditional offensive security with AI-assisted and agentic adversary emulation to validate exposure and continuously improve defensive controls. Key Responsibilities Emulate external attackers, malicious insiders, compromised identities, and autonomous adversarial agents. Validate whether vulnerabilities and configuration weaknesses identified are reachable and practically exploitable. Develop and execute realistic attack paths across web applications, APIs, cloud infrastructure, identity systems, endpoints, and other enterprise services. Use AI-assisted and agentic techniques for reconnaissance, vulnerability analysis, attack-path discovery, and controlled offensive testing. Test AI applications and agents for prompt injection, tool abuse, excessive privilege, identity compromise, and other emerging attack classes. Validate compensating controls and mitigations before or after deployment. Conduct purple-team exercises with Security Analytics and Security Operations to validate telemetry, detection, and response effectiveness. Translate offensive findings into actionable improvements to architecture, configuration, detections, and response capabilities. Qualifications Experience in red teaming, penetration testing, adversary emulation, or offensive security engineering. Strong web, API, cloud, identity, operating-system, and network security fundamentals. Experience validating practical exploitability and developing realistic attack paths. Strong understanding of MITRE ATT&CK and modern adversary techniques. Familiarity with OWASP Top 10 for LLM, OWASP Top 10 for Agentic Applications, and MITRE ATLAS. Scripting or software-development experience. Experience safely using automation or AI-assisted techniques in offensive-security workflows. Experience assessing cloud-native or AI-enabled systems, conducting purple-team exercises, or simulating autonomous adversaries is preferred. At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Задачи: — проектировать, валидировать и выводить на рынок готовые к производству батарейные системы. Требования: — опыт в области безопасности батарей, теплового менеджмента, литий-ионных батарей, анализа отказов, характеристики и валидации. Условия: — работа в офисе в Сан-Карлос, Калифорния. Технологии и инструменты: — battery management system (BMS)

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