Вакансии

Задачи: — Проектирование API для мобильных и веб-приложений; — Создание микросервисов и интеграций с внешними системами; — Оптимизация PostgreSQL: схемы, запросы, индексы; — Написание тестов, проведение Code Review, рефакторинг legacy-кода; — Участие в планировании, оценке и документировании; — Мониторинг производительности и устранение инцидентов; — Координация релизов и помощь с CI/CD; — Наставничество младших коллег и участие в найме. Требования: — Уверенные знания PHP (ООП, SOLID); — Опыт работы с фреймворками Yii2, Laravel, Slim; — Глубокие знания SQL и PostgreSQL; — Опыт работы с очередями RabbitMQ или Kafka; — Уверенное владение Git; — Опыт работы с Docker и Kubernetes; — Знания сетевого стека; — Приветствуется опыт работы с Clickhouse. Условия: — Официальное оформление по ТК РФ, белая зарплата, полный отпуск (28 дней); — Современный просторный офис в центре города; — Интересные проекты для профессионального роста; — Стабильный график работы 5/2 с 9:00 до 18:00; — Команда профессионалов, готовых делиться опытом; — Безлимитный зерновой кофе и тёплая атмосфера; — Активная корпоративная жизнь.

Location: New York; San Francisco Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.   THE ROLE We're looking for a Security Operations Engineer to improve how Alchemy detects threats, investigates incidents, and reduces operational security risk. This is a hands-on individual-contributor role with no people-management responsibilities. You'll investigate suspicious activity and build the systems that make the next investigation faster and more reliable. AI-assisted engineering and investigation should be part of your daily work: connecting evidence, developing detections, building response workflows, and checking the results against source data. You'll also help the team get better at this work. Through shared tooling, code review, pairing, and practical documentation, you'll give teammates capabilities they can use independently.   WHAT YOU WILL DO - Detect and investigate threats. Triage alerts, hunt for suspicious activity, and investigate across cloud infrastructure, corporate systems, identity, endpoints, and production environments. Establish what happened from evidence and communicate uncertainty clearly. - Engineer detection coverage. Build and tune detections, onboard useful telemetry, and maintain reliable log pipelines. Test rules against representative attacks and benign activity; address missing coverage and noisy alerts. - Respond to incidents. Participate in the security on-call rotation and incident response, including scoping, containment, recovery, and post-incident improvements. Preserve evidence and coordinate changes with system owners. - Build AI-assisted security workflows. Automate evidence collection, alert enrichment, investigation timelines, and response preparation. Connect agents to approved tools and data sources so they can complete bounded tasks with traceable results. - Verify before trusting. Evaluate AI-assisted workflows against known cases and adversarial inputs. Require evidence for conclusions, test false-positive and missed-threat behavior, and keep human approval for disruptive containment actions. - Reduce operational exposure. Partner with Infrastructure and IT on vulnerability remediation, cloud and host hardening, identity controls, and attack-surface monitoring. Prioritize findings by exposure and impact, then verify remediation. - Help secure agent operations. Work with platform and product-security partners on operational controls for agent identities, credentials, tool access, and audit logging. Investigate misuse and build detections for suspicious agent behavior. - Improve how the team works. Share reusable code, investigation skills, runbooks, and evaluation cases. Pair with teammates, review automation, and teach approaches they can apply to their own investigations. - Measure defensive outcomes. Track detection coverage, alert quality, investigation effort, response time, and remediation progress. Use those measures to decide what to improve next.   WHAT WE ARE LOOKING FOR - Hands-on security operations experience spanning detection engineering, threat hunting, and incident response. - Strong scripting and software-building ability, especially Python; experience with APIs, version control, tests, and operating automation in production. - Experience with a SIEM such as Panther, Splunk, or an equivalent platform, including detection logic and log analysis. - Working knowledge of cloud security, identity, endpoint telemetry, networking, and Linux systems. Ability to investigate across system boundaries. - Evidence of building and using AI-assisted tools in security or adjacent engineering work. You can show how you validate outputs, handle failures, and protect sensitive information. - Sound incident judgment: you can separate a hypothesis from a finding, preserve evidence, and choose when to escalate or contain. - A record of making teammates more effective through tools, mentoring, code review, or documentation, without needing management authority. - Clear written communication and the willingness to own both urgent investigations and the follow-through that prevents repeat incidents.   HELPFUL EXPERIENCE - AWS, Kubernetes, bare-metal infrastructure, detection-as-code, or SOAR workflows. - Digital forensics, threat intelligence, or testing detections through attack simulation. - Securing AI agents and tool integrations, including prompt injection, credential misuse, and data-exfiltration risks. - Blockchain infrastructure or other environments with sensitive keys and high-impact production systems.   WHAT SUCCESS LOOKS LIKE - Investigations reach evidence-backed conclusions faster. Detection coverage improves, repeat noise declines, and remediation is verified. The team adopts tools and workflows you've built, with clear limits on what agents may do and a tested path for handling failures.   BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

As a Senior Observability Engineer on our Observability Platform team, you will contribute to the architecture and development of our observability platform across bare-metal servers, virtual machines, Linux, Kubernetes, GPU clusters, network infrastructure, and cloud-native applications.

* Run and improve the services that keep our data centres operating, from deployment pipelines to secret provisioning. * Contribute to SLIs and SLOs for our core platform services.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer II, JVM San Mateo, CA The Data Engineering Team fuels real-time, intelligent data insights for PlayStation’s Cloud Streaming offering. In this role, you’ll collaborate closely with teams across PlayStation to deliver a scalable and reliable data platform that drives a data-first culture and outlook. As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for PlayStation. Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs, and APIs to provide real time data and insights across the Cloud Streaming ecosystem to ensure seamless data flow throughout our data pipeline. You will also work closely with our Business Intelligence team to translate product requirements to usable insights that fuel our business decisions. You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies, and state-of-the art technology to empower data-driven decisions to the company. You are self-motivated and thrive in a distributed team environment - comfortable taking initiative, handling your own work, and collaborating effectively across time zones and communication channels, embodying our one team mantra! Responsibilities Design and implement middleware and backend systems capable of handling high throughput and load Develop and maintain stream processing jobs using Flink (stateful / stateless), and implement scalable ETL jobs that enable our partners and customers to glean intelligent insight Optimize performance, reliability, and monitoring of the data pipeline stack Support migration efforts of our on-premises Kafka to new cloud technologies Perform in-depth analysis of functional or business requirements Contribute to architectural decisions for PlayStation’s cloud streaming data pipeline Liaise with Business Intelligence and product domain teams to help turn data into information, and information into business value Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field or equivalent practical experience 3+ years of experience in software development and backend engineering developing and maintaining high throughput and concurrent systems with high availability and fault tolerance Proficient in JVM Languages (Kotlin, Scala, Java) and Python Experience with Apache Kafka, Flink, Spark, and SQL Knowledge of software paradigms like functional programming, object oriented programming, TDD Knowledge of web technologies including REST, JSON, gRPC, and WebSockets Expertise on data structures (JSON, Avro, Protobuf) as well as unstructured and semi-structured data Experience with ETL, stream processing, real-time pipelines, and batch processing Familiarity with software development tools and processes like Git and CI/CD Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability Self-motivated, strong interpersonal and communication skills; ability to work with geographically remote teams Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch, MSK, and EKS is a plus Experience with Kubernetes, Docker, and cloud deployment technologies is a plus At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $163,700 — $245,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer II, JVM San Diego, CA The Data Engineering Team fuels real-time, intelligent data insights for PlayStation’s Cloud Streaming offering. In this role, you’ll collaborate closely with teams across PlayStation to deliver a scalable and reliable data platform that drives a data-first culture and outlook. As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for PlayStation. Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs, and APIs to provide real time data and insights across the Cloud Streaming ecosystem to ensure seamless data flow throughout our data pipeline. You will also work closely with our Business Intelligence team to translate product requirements to usable insights that fuel our business decisions. You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies, and state-of-the art technology to empower data-driven decisions to the company. You are self-motivated and thrive in a distributed team environment - comfortable taking initiative, handling your own work, and collaborating effectively across time zones and communication channels, embodying our one team mantra! Responsibilities Design and implement middleware and backend systems capable of handling high throughput and load Develop and maintain stream processing jobs using Flink (stateful / stateless), and implement scalable ETL jobs that enable our partners and customers to glean intelligent insight Optimize performance, reliability, and monitoring of the data pipeline stack Support migration efforts of our on-premises Kafka to new cloud technologies Perform in-depth analysis of functional or business requirements Contribute to architectural decisions for PlayStation’s cloud streaming data pipeline Liaise with Business Intelligence and product domain teams to help turn data into information, and information into business value Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field or equivalent practical experience 3+ years of experience in software development and backend engineering developing and maintaining high throughput and concurrent systems with high availability and fault tolerance Proficient in JVM Languages (Kotlin, Scala, Java) and Python Experience with Apache Kafka, Flink, Spark, and SQL Knowledge of software paradigms like functional programming, object oriented programming, TDD Knowledge of web technologies including REST, JSON, gRPC, and WebSockets Expertise on data structures (JSON, Avro, Protobuf) as well as unstructured and semi-structured data Experience with ETL, stream processing, real-time pipelines, and batch processing Familiarity with software development tools and processes like Git and CI/CD Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability Self-motivated, strong interpersonal and communication skills; ability to work with geographically remote teams Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch, MSK, and EKS is a plus Experience with Kubernetes, Docker, and cloud deployment technologies is a plus At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $150,100 — $225,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are hiring an Engineering Manager to lead the Device Trust Platform team, the group responsible for the lower-level platforms that power 1Password Device Trust and that will, over time, underpin Device Security and the broader 1Password security platform. These systems ingest, process, and store a high volume of telemetry from the devices our customers depend on. Our customers expect this to work with Tier 0 reliability: the services this team owns are always on, and when something fails, it fails over without anyone noticing. This is an end-to-end team responsible for the data pipelines, storage systems, and infrastructure that keep the product reliable at scale, as well as the application code that runs on top of them. You will lead a group of senior and staff engineers who are already deep in this architecture, and you will grow the team over time, adding engineers as the platform's scope expands and onboarding new hires into a team with high operational standards. You will be responsible for the resiliency and reliability of our applications. That means owning availability targets, incident response, capacity, and the architectural decisions that keep a multi-region system honest. It also means running a healthy engineering team: planning, design reviews, career growth, and hiring. The role reports to the Senior Manager, Engineering for Device Trust. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - 3+ years managing and mentoring software engineering teams, including senior and staff engineers, with a track record of engineers growing in scope and seniority under your leadership. - A strong background in the infrastructure behind highly reliable, high-volume data systems: ingestion pipelines, streaming or queueing systems, large datastores, and the operational tooling around them. - Hands-on experience operating multi-region systems with failover and redundancy, and owning availability for a service customers treat as critical: SLOs, incident response, postmortems, and the follow-through that keeps incidents from recurring. - Experience owning production observability: instrumentation, dashboards, alerting, and using telemetry to drive reliability and capacity decisions. Datadog experience is strongly preferred. - Significant hands-on development experience and strong technical judgment: you can review the code your team writes and partner with staff engineers on architecture and system design. - Demonstrated success leading a hybrid team that spans infrastructure and application engineering on one roadmap. - A leadership style grounded in empowering the team: you set direction, clear the path, and defer to the engineers closest to the problem, staying calm and structured under pressure. - Excellent communication with technical and non-technical stakeholders, including explaining reliability risk and trade-offs to product and leadership partners. Bonus points for: - Experience with Ruby on Rails applications at scale, or with Go services and agent-based data collection. - Experience with osquery, endpoint telemetry, or other device-data pipelines. - Experience running Kubernetes-based platforms on AWS or another major cloud, including infrastructure-as-code. - Experience managing remote and distributed teams. - Experience building systems that balance rapid iteration with enterprise-grade security and compliance requirements. - Deep experience with Datadog, including APM, log management, custom metrics, and SLO-based monitoring. What you can expect: TEAM LEADERSHIP - Lead, coach, and grow a team of senior and staff engineers who own the platform layer of Device Trust, measuring your success by the team's success rather than your own visibility. - Hire, onboard, and integrate new engineers as the team grows and as Device Security and other 1Password products come to depend on these platforms. - Give engineers room to design the solutions they believe are right for customers, while holding them accountable to outcomes. The team closest to the problem makes the technical call; you make sure they have the context, time, and support to make it well. - Spend your time listening and removing obstacles: unclear priorities, missing context, cross-team dependencies, and process that slows the team down. Advocate for the team's needs with leadership and partner teams. - Support career development through regular feedback, mentorship, and growth planning, including the path from senior to staff. - Foster a culture of ownership, trust, and psychological safety, where incidents produce learning rather than blame, and lead by example on transparency, follow-through, and humility. RELIABILITY AND OPERATIONS - Own the reliability and resiliency of Device Trust applications and the platforms beneath them, against a Tier 0 expectation from customers. - Define and maintain SLOs, error budgets, and the monitoring and alerting that make them meaningful. - Lead the on-call program for the team: rotation design, escalation paths, and runbooks that let any engineer respond with confidence. - Run incident response and blameless postmortems, and drive remediation work to completion. - Plan and execute multi-region failover, disaster recovery, and capacity work, and verify it with regular exercises rather than assumptions. OBSERVABILITY - Own observability for the Device Trust platform as a product in its own right: metrics, logs, traces, and the dashboards, monitors, and SLOs built on them in Datadog, our observability platform. - Continue the work already underway on the team to instrument services end to end, so that latency, throughput, error rates, and data freshness are visible per customer, per region, and per pipeline stage. - Make the health of the platform legible to people outside the team, including support, product, and leadership, through dashboards and status reporting that answer "is it working" without an engineer in the loop. - Treat alert quality as an engineering problem: reduce noise, tie alerts to SLOs, and ensure every page has a runbook and an owner. - Use observability data to drive capacity planning and to find reliability risk before it becomes an incident. TECHNICAL DIRECTION - Partner with staff engineers to evolve the data ingestion, processing, and storage architecture so it scales ahead of customer growth. - Set the technical direction for how these platforms generalize to serve Device Security and future products, not only Device Trust. - Maintain a high bar for performance, security, and data integrity in a security-first enterprise environment. - Identify and mitigate risks introduced by architectural change, migrations, and new dependencies before they reach production. DELIVERY AND PLANNING - Scope, plan, and drive execution of platform initiatives with the team, balancing reliability investment against feature work. - Coordinate cycle planning, design reviews, and project planning so the team ships predictably. - Cascade priorities, progress, and risk to stakeholders across Device Trust and partner teams, keeping roadmaps transparent. - Contribute to cross-team and departmental initiatives that raise the reliability bar across the engineering organization. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $171,000 CAD and $248,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Задачи: — Формирование и реализация стратегии информационной безопасности компании с учётом бизнес-целей; — Управление рисками кибербезопасности и планирование мероприятий по их снижению; — Организация проверки исходного кода на уязвимости, включая методологии SAST и DAST; — Анализ и защита инфраструктуры, выявление и устранение угроз; — Контроль безопасных конфигураций серверов и сервисов, включая Docker, Kubernetes и облачные решения; — Взаимодействие с регуляторами: ФСТЭК, ФСБ, Минздрав и другими; — Адаптация продукта под требования регуляторов и ключевых заказчиков; — Проведение инспекционного контроля версий; — Развитие культуры кибербезопасности в компании; — Управление инцидентами и кризисными коммуникациями; — Взаимодействие с техническими и бизнес-командами; — Организация внутренних и внешних аудитов кибербезопасности; — Анализ результатов аудитов и контроль корректирующих мероприятий; — Мониторинг актуальных угроз; — Развитие и поддержка SOC; — Участие в отраслевых мероприятиях и обмен экспертизой; — Взаимодействие с ключевыми клиентами по вопросам кибербезопасности. Требования: — Опыт работы в кибербезопасности в IT не менее 5 лет; — Глубокое понимание требований профильных стандартов кибербезопасности; — Умение выстраивать процессы кибербезопасности и контролировать их исполнение; — Опыт руководства командами кибербезопасности численностью от 10 человек; — Опыт управления проектами в сфере кибербезопасности; — Способность принимать решения в кризисных ситуациях и расставлять приоритеты; — Умение эффективно взаимодействовать с разработчиками, бизнесом и топ-менеджментом; — Опыт переговоров с регуляторами и партнёрами; — Стратегическое мышление и системный подход. Условия: — Работа в офисе в Москве, проспект Андропова, Technopark Plaza; — Медицинская программа со стоматологией и психологами за счёт компании; — Компенсация обучения английскому языку и возможность карьерного роста; — Компенсация спортивных абонементов и участие во внутренних спортивных группах; — Работа в крупнейшей в России Digital Health платформе СберЗдоровье, объединяющей сервисы цифровой медицины.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We’re looking for an Engineering Manager to lead Trust & Safety within Render’s Security team. Your mission is to keep Render a trusted place to build and run applications by preventing fraud and abuse, protecting customers from malicious activity, and making it harder for attackers to use our platform. You’ll lead a team of engineers who build and operate the systems behind this work: detection pipelines, investigation tools, automated enforcement, and protections across the customer lifecycle. You’ll combine strong people leadership with technical judgement, helping the team respond effectively to incidents while investing in systems that prevent recurring problems. You’ll partner closely with Product, Infrastructure, customer-facing teams, Finance, and Legal to translate emerging threats and customer needs into practical engineering work. The decisions your team makes will directly affect customer safety, platform reputation, fraud losses, and the experience of legitimate developers. WHAT YOU'LL DO - Lead and grow the Trust & Safety engineering team through hiring, mentorship, regular feedback, performance management, and career development. - Define the team’s roadmap, balancing investigations and operational needs with sustained investments in prevention, automation, and platform protections. - Guide the design and delivery of systems that detect phishing, malicious workloads, payment fraud, and other forms of platform abuse. - Build investigation and enforcement tooling that gives responders the context to act quickly, records decisions, and supports consistent handling of escalations and appeals. - Lead the team’s response to significant fraud and abuse incidents, coordinating with other Security teams, Infrastructure, Support, Finance, and Legal. - Establish sustainable on-call and response practices, including clear ownership, runbooks, escalation paths, and learning from incidents. - Partner with Product and Engineering to introduce protections at the right points in the customer lifecycle, balancing prevention with onboarding friction and false positives. - Turn knowledge of attacker behavior and recurring abuse campaigns into improvements that protect customers and reduce repeat incidents. - Define and use metrics for fraud losses, detection and response time, false positives, repeat abuse, and operational workload to guide investment. WHAT WE’RE LOOKING FOR - 5+ years experience managing and developing engineers, including hiring, coaching, performance management, and building a healthy, inclusive team. - A strong background in software and security engineering, with the ability to guide system design, review technical proposals, and make pragmatic architectural tradeoffs. - Experience building or operating systems for fraud prevention, abuse detection, Trust & Safety, or adversarial security problems. - Experience leading teams with on-call or incident response responsibilities, and sound judgement when decisions must be made with incomplete information. - The ability to translate ambiguous threats and business needs into clear priorities, incremental milestones, and shipped improvements. - Experience using data to evaluate detection quality, understand operational problems, and measure whether interventions work. - Clear communication and effective collaboration across engineering and business teams, including explaining risks and tradeoffs to technical and non-technical partners. - Empathy for customers and responders, high integrity, and a strong sense of ownership for both team outcomes and long-term system health. NICE-TO-HAVES - Experience with cloud infrastructure, developer platforms, or services that run customer-controlled code and workloads. - Experience addressing payment fraud, phishing, malware hosting, account compromise, or coordinated abuse campaigns. - Experience building threat intelligence pipelines, linking related malicious accounts, or integrating external reputation signals. - Familiarity with Go, TypeScript, Kubernetes, Postgres, Terraform, or Temporal. - Experience partnering with Legal and customer-facing teams on sensitive enforcement decisions and external abuse reports. - Experience building and scaling a team at a growing company. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Prague Workplace: hybrid Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. The Depo Intelligence team powers the AI behind Filevine's deposition product line. We deliver automated post-deposition transcript analysis, timelines, summaries, and witness impressions. Our latest product, Depo Copilot, assists attorneys during deposition preparation and delivers real-time insights during live proceedings. Additionally, our intelligent insights extend support to the Filevine Meetings and Notetaking apps. As the Tech Lead for Depo Intelligence, you will drive the technical direction of our AI systems. This is a hands-on machine learning role requiring strong software engineering skills. You will spend your time designing and building LLM pipelines and evaluations, as well as leading the team's architectural and design choices. You will collaborate closely with the team's Engineering Manager, who handles people management and delivery, allowing you to focus squarely on technical leadership. Key Responsibilities Own the technical vision and system architecture for machine learning workflows driving Depo Copilot, Depo Summaries, and the Meetings and Notetaking app. Architect and build LLM pipelines capable of reasoning over extensive case files and real-time transcripts, ensuring all outputs are fully grounded in source material. Determine optimal model strategies - evaluating when custom fine-tuning or trained models are required over prompt engineering - and lead implementation. Establish evaluation frameworks alongside our legal experts and annotators, creating custom datasets, rubrics, offline metrics, and release checks to proactively prevent regressions. Optimize pipeline efficiency, latency, and operational costs for live streaming analysis using strategic model selection, fallbacks, and precomputation. Transition prototypes into production-grade systems with typed contracts, test coverage, tracing, and observability, serving as technical lead for incident response during live proceedings. Author design documents, guide architectural decisions, and partner with Product, product engineering, speech recognition, and document retrieval teams to translate roadmap goals into actionable technical plans. Mentor machine learning engineers through detailed code reviews, pair programming, and design feedback while clearly communicating technical outcomes and tradeoffs to business stakeholders. Who are you? Minimum of 5 years of experience building production ML or software systems, including at least 3 years in machine learning roles with end-to-end project ownership. Proven track record of technical leadership, including conducting design reviews, setting architectural direction, and mentoring engineers. Strong background in NLP and production LLM systems, encompassing retrieval and grounding, long-context reasoning, structured outputs, evaluation, and mitigation of common failure modes. Experience designing evaluation frameworks for generative AI systems, including developing datasets and rubrics in collaboration with domain experts and annotators. Solid software engineering foundations, including API design, data modeling, distributed and asynchronous workflows, testing, and fault tolerance. Advanced proficiency in Python, alongside hands-on experience with PyTorch or other deep learning frameworks. Experience with real-time/streaming systems or legal domain NLP is a plus. Strong written and verbal communication skills in English, a collaborative team spirit, and an autonomous problem-solving mindset. Ability to meet periodically at our Prague or Bratislava office to support in-person collaboration. Our current stack primarily utilizes Python (DSPy, Pydantic, Temporal), PostgreSQL, Kubernetes, AWS, Google Cloud, and multi-provider LLMs; strong core engineering skills are prioritized over familiarity with specific tools or frameworks. Compensation starts at 190,000 CZK per month, with the final offer determined by the candidate’s seniority and experience. This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction. This role is open exclusively to candidates currently residing in, or willing to relocate to, Czechia or Slovakia with the legal right to work in these countries. Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Account Management team is part of Trust & Safety within Affirm’s Checkout organization. We build secure, intuitive experiences that help customers protect, manage, and recover access to their accounts. Our mission is to make account security seamless without adding unnecessary friction, ensuring customers can confidently use Affirm when and where they need it. Our work spans the full account security journey - from detecting and preventing unauthorized access to enabling self-service recovery and reducing the need for customer support. We own critical experiences like Self-Service Phone Change, Settings & Security Center, and account information updates. These solutions directly impact customer trust, fraud prevention, and Affirm’s ability to scale safely. We're looking for someone who takes ownership, thrives in complexity, and enjoys turning difficult security challenges into simple, meaningful customer experiences. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For You have a total of 8+ years of experience as a software engineer. You are proficient in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes You are proficient in developing web apps using declarative UI frameworks like React or Vue. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $181,000 - $241,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Account Management team is part of Trust & Safety within Affirm’s Checkout organization. We build secure, intuitive experiences that help customers protect, manage, and recover access to their accounts. Our mission is to make account security seamless without adding unnecessary friction, ensuring customers can confidently use Affirm when and where they need it. Our work spans the full account security journey - from detecting and preventing unauthorized access to enabling self-service recovery and reducing the need for customer support. We own critical experiences like Self-Service Phone Change, Settings & Security Center, and account information updates. These solutions directly impact customer trust, fraud prevention, and Affirm’s ability to scale safely. We're looking for someone who takes ownership, thrives in complexity, and enjoys turning difficult security challenges into simple, meaningful customer experiences. What You'll Do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For You have a total of 8+ years of experience as a software engineer. You are proficient in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes You are proficient in developing web apps using declarative UI frameworks like React or Vue. You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA Pacific base pay range (CA, WA, NY, NJ, CT): $230,000 - $290,000 USA Sapphire base pay range (all other U.S. states): $204,00 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

О продукте Forecast & Replenishment (FnR) - это самый масштабный проект по цифровой трансформации в цепочке поставок и первый в России проект по созданию и внедрению полностью отечественного ПО в F&R для такого размера бизнеса в офлайн-ритейле. F&R - это высоконагруженная система прогнозирования спроса и формирования заказов, обеспечивающая сквозную end-to-end цепочку – от размещения заказа у поставщика до доставки товара в конкретный магазин. Данная система — это не микросервисы и не монолит. Это отдельные Java-сервисы, масштабирование в которых происходит за счет Apache Ignite. Задачи Выявлять и анализировать требования, определять бизнес-потребности и переводить их в системные требования. Описывать логику работы ПО, бизнес-алгоритмы, интеграции, взаимодействие компонентов системы, требования к обработке и хранению данных. Формировать спецификации, описания процессов, модели данных, API-контракты и другие материалы, необходимые команде для разработки. Декомпозировать бизнес-задачи на отдельные задачи разработки, учитывать зависимости между компонентами и участвовать в оценке трудоёмкости. Проверять соответствие реализованного функционала согласованным требованиям, выявлять расхождения и сопровождать их устранение. Готовить документацию и описания решений, представлять реализованный функционал заказчикам и согласовывать результаты работы. Требования Опыт работы системным аналитиком от 3 лет. Уверенное владение SQL и опыт работы с базами данных. Умение выявлять бизнес-потребности, формализовывать требования и описывать функциональные и нефункциональные требования к ПО. Понимание принципов работы алгоритмов и оценки их сложности. Навыки проектирования моделей данных: построение ER-диаграмм, нормализация данных. Опыт моделирования бизнес-процессов с использованием BPMN, UML и/или DFD. Опыт проектирования API-контрактов по OpenAPI, понимание подхода API First и принципов интеграции систем через REST API, брокеры сообщений и ETL/ELT-процессы. Написание запросов SQL на среднем/высоком уровне, работа с СУБД. Опыт разработки веб-приложений с нуля, работа с Git. Стек: Языки программирования: Backend, Calculation - Java, DE Pipelines - Python, Frontend - JavaScript, Vue БД: PostgreSQL, Clickhouse, H2, Apache Trino, Apache Iceberg Брокеры сообщений: Apache Kafka Распределенные вычисления: Apache Ignite Мониторинг: Prometheus, Micrometer, OpenTelemetry, Grafana Контейнеризация: Kubernetes, Docker Инструменты качества кода: SonarQube, JaCoCo, CheckStyle Условия Трудоустройство в аккредитованную IT‑компанию ДМС со стоматологией и льготными условиями для членов семьи Работу в максимально уютном офисе в центре Москвы (ст. м. Савеловская), в Краснодаре или удаленно из других городов РФ, так же есть офисы в Санкт-Петербурге (ст. м. Балтийская) и в Иннополисе Корпоративные скидки от компании и партнеров, бесплатная подписка Магнит Премиум с повышенным кешбэком по программе лояльности М+ Ежегодная программа признания с ярким праздником и впечатляющим подарком Поддержку в развитии через обучение, конференции и митапы, а также программу для руководителей — Leadership club IT‑комьюнити — среда, где быстрее находишь решения, делишься практиками, пробуешь новые роли и растешь от эксперта в стекe до лидера инициатив Мы являемся партнером Минцифры России по проекту Национальная система подтверждения IT‑компетенций Работа над масштабными продуктами и проектами (Умный магазин, роботизация, беспилотность, GenAI и другое) Социально– психологическая поддержка от >370 специалистов по направлениям: юристы, психологи, врачи, финансовые и ЗОЖ советники

Задачи: — Проектирование и разработка алгоритмов и сервисов для обработки разнородных данных. — Интеграция решений с внешними сервисами и приложениями. — Участие в прототипировании, построении моделей представления данных. — Оптимизация алгоритмов. — Оценка и мониторинг ключевых метрик системы. — Взаимодействие с инженерами смежных команд и доменных областей. Требования: — Опыт разработки на C++ от 5 лет. — Опыт работы с базами данных. — Знание классических алгоритмов и структур данных. — Понимание принципов машинного обучения. — Опыт построения сервисов с использованием контейнеризации (Docker, Kubernetes). — Плюсом будет опыт работы на Python и других языках программирования. — Важны ответственность, внимание к деталям и нацеленность на результат. Условия: — Удалённая работа. В проекте применяются классический ML, LLM‑модели, компьютерное зрение, статистические методы и математические алгоритмы.

💎 Uzum Nasiya ищет сильного инженера в техническую команду: основной фокус — разработка микросервисов на Go для кредитного конвейера, миграция кодовой базы с PHP и переход с MariaDB на PostgreSQL, приведение архитектуры к лучшим практикам высоконагруженных и отказоустойчивых платформ.

Задачи: — Разворачивание компонентов в Kubernetes с использованием Helm и операторов. — Внедрение GitOps-процессов для синхронизации состояния контура с git. — Сопровождение CI-пайплайнов обучения и инференса моделей. — Настройка MLOps-контура, включая MLflow и хранилища артефактов. — Поднятие сервисных зависимостей, таких как PostgreSQL и Kafka. — Построение системы observability на базе VictoriaMetrics и Grafana. — Настройка управления доступом через Istio и OIDC-провайдеры. — Обеспечение соответствия требованиям информационной безопасности. — Разбор инцидентов платформы и сопровождение запуска моделей в продакшн. Требования: — Опыт самостоятельного вывода компонентов в промышленный контур. — Глубокое знание Kubernetes, включая операторов и RBAC. — Практический опыт внедрения GitOps и CI/CD-процессов. — Понимание полного цикла MLOps от обучения до serving. — Опыт работы в банке или в контуре с высокими требованиями к безопасности. — Уверенное владение Linux и навыки диагностики систем.

Задачи: — разработка решений на Python для обработки и преобразования данных; — построение автоматизированных workflow с использованием Apache Airflow, включая планирование, управление зависимостями, мониторинг и обработку ошибок; — создание и поддержка Docker-окружений для воспроизводимого выполнения задач; — интеграция источников данных, API и вычислительных инструментов в автоматизированные процессы; — повышение надёжности, масштабируемости и сопровождаемости пайплайнов через тестирование, логирование и оптимизацию производительности; — сотрудничество с инженерными и научными командами. Требования: — сильные навыки программирования на Python и опыт разработки решений для обработки данных; — практический опыт работы с Apache Airflow или аналогичными оркестраторами; — опыт с Docker и контейнеризацией; — практический опыт с PostgreSQL и/или Snowflake; — понимание ETL/ELT-процессов, интеграции данных и автоматизации workflow; — умение разбираться в сбоях пайплайнов и строить надёжные сопровождаемые решения. Плюсом будут: — опыт с другими оркестраторами; — знакомство с AWS; — опыт проектирования и интеграции API; — знание Kubernetes и GitOps; — опыт разработки AI-приложений; — бэкграунд в life sciences, вычислительной химии, биоинформатике или поиске лекарств. Условия: — работа удалённо; — полная занятость; — сотрудничество по B2B-контракту с выплатами в USD или EUR либо по трудовому договору.

Администрировать серверную инфраструктуру: устанавливать, настраивать и конфигурировать серверное оборудование на платформе x86 под управлением российских ОС (RedOS, Astra Linux, Alt Linux). Управлять хранилищами данных: работать с LVM, проектировать и поддерживать сети хранения данных (СХД).