Вакансии

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Compliance Engineer at Figma, you will play a critical role in designing, implementing, and testing security controls across multiple compliance frameworks, including FedRAMP, SOC 2, ISO 27001, and NIST. You will collaborate closely with security, infrastructure, and product engineering teams to translate regulatory requirements into effective technical controls, evaluate control effectiveness, and identify opportunities to improve security and compliance processes. You will also help advance Figma’s compliance engineering capabilities by leveraging automation, machine-readable control definitions (JSON), APIs, and AI-assisted development tools to streamline control testing, evidence collection, and continuous monitoring. This role combines deep security compliance expertise with technical problem-solving to build scalable, repeatable, and effective compliance practices. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Develop and verify technical security controls that satisfy multiple compliance frameworks Collaborate with security, infrastructure, and product engineering teams to translate compliance requirements into effective technical controls Design and execute control testing procedures to assess control performance, surface gaps, and verify that remediation is complete Establish repeatable control assessments and continuous monitoring processes to evaluate compliance effectiveness Translate security requirements into structured, machine-readable JSON definitions to support control management, testing, and automation Build and maintain API integrations and automated workflows to streamline evidence collection, control validation, and compliance processes Identify opportunities to improve control effectiveness, reduce manual effort, and scale compliance operations across multiple frameworks We’d love to hear from you if you have: 5+ years of hands-on experience in security compliance, security assurance, IT audit, or compliance engineering Experience with security compliance frameworks, including FedRAMP, SOC 2, ISO 27001, and NIST 800-53, designing, implementing, and testing technical security controls in SaaS or cloud environments Experience testing security controls for design and operating performance, including surfacing gaps and confirming fixes Understanding of cloud security concepts, including identity and access management, vulnerability management, logging, and security configurations Experience working with engineering teams to implement compliance requirements as technical solutions Experience with JSON, REST APIs, and automation, applied to compliance engineering challenges While it’s not required, it’s an added plus if you also have: Experience developing JSON-based control definitions, JSON Schema, or machine-readable compliance documentation, and REST API integrations and custom automation workflows Familiarity with Open Security Controls Assessment Language (OSCAL) Proficiency in Python or similar scripting languages for compliance automation, including experience with compliance automation platforms and automated evidence collection Experience using Git, version control, and collaborative development workflows Hands-on experience with cloud security technologies, particularly AWS At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Задачи: — Участвовать в разработке и реализации ИТ-стратегии компании – определять, какие технологии и решения принесут бизнесу наибольшую отдачу — Развивать ИТ-архитектуру: проектировать, масштабировать и оптимизировать инфраструктуру под текущие и будущие задачи — Следить за технологическими трендами и оценивать, какие из них применимы в компании – от программных продуктов до аппаратных комплексов — Обходить подразделения, интервьюировать сотрудников, описывать процессы «как есть» – в BPMN или аналогичных нотациях — Находить операции, которые пора автоматизировать: ручной ввод, перекладывание данных, лишние согласования, рутинные отчёты — Оценивать эффект от автоматизации: сколько часов и денег она сэкономит и обосновывать решение для руководства — Автоматизировать офисные и производственные рабочие места, сокращая ручной труд — Писать скрипты на Python и PowerShell для интеграций, обработки данных и автоматизации рутинных операций — Настраивать low-code/no-code решения: формы, боты, простые интеграции между системами — Внедрять готовые AI-сервисы – распознавание текста, чат-боты, классификация документов – и интегрировать их в бизнес-процессы — Контролировать выполнение работ подрядчиками, участвовать в тестировании и приёмке — Консультировать сотрудников по работе с техникой и программными продуктами, помогать разбирать ошибки и нестандартные ситуации — Обучать сотрудников работать с новыми решениями, сопровождать внедрение, собирать обратную связь — Организовывать повышение квалификации внутри ИТ-службы: техническая учёба, обмен опытом, разбор профильных материалов — Вести документацию регламенты, инструкции, схемы процессов Требования: — высшее техническое образование — опыт работы от 3 лет в ИТ и/или автоматизации бизнес-процессов — Знания программ: — навыки: — Нотация моделирования процессов BPMN / EPC / IDEF0 – описание «как есть» и «как должно быть» — Базовое понимание AI/ML: знание готовых сервисов (распознавание текста, чат-боты, классификация)

Location: Remote (Worldwide) About Logos (λ) Logos (λ) is a movement of technologists, creatives, strategists, and activists working together to build a sovereign, people-owned technology stack that revitalises civil society and protects digital liberties at scale. This position is within the IFT Technical Services (IFT-TS) Distributed Systems Testing (DST) Team, a team that primarily supports Logos, while also contributing to other IFT projects. The role We are seeking an experienced Distributed Systems Evaluation Engineer to join the Institute of Free Technology - Technical Services, on the Distributed Systems Testing (IFT-TS DST) team. This role focuses on rigorously assessing the performance and reliability of IFT projects at scale, where Logos (λ) is one of them. Logos (λ) technology stack is composed of 3 main components: Logos (λ) Blockchain : Advanced privacy for a new era of decentralised applications and social institutions. Logos (λ) Messaging : Private peer‑to‑peer communication that resists surveillance and censorship. Logos (λ) Storage : Secure decentralised storage enabling fully decentralised apps and file sharing. We are looking for a talented and enthusiastic DevOps Engineer to join our Distributed Systems Testing (DST) team. You’ll be responsible for designing and executing comprehensive evaluation strategies, leveraging both large-scale lab deployments and protocol behavior modeling scripts. Your expertise will be crucial in analyzing these complex distributed systems, automating intricate test scenarios, and providing in-depth insights into system behaviors. Working closely with cross-functional teams, you’ll troubleshoot complex issues and translate technical data into actionable recommendations. Proficiency in containerization, cloud technologies, and distributed systems principles is essential. Key responsibilities Design, configure, and optimize Kubernetes clusters to support large-scale experiments and benchmarks of P2P technologies. Continuously improve cluster scalability and resource utilization, enabling increasingly complex deployments and experiments. Set up, maintain, and optimize supporting infrastructure such as monitoring, logging, and observability stacks (Grafana, Prometheus, Loki, etc.). Collaborate with DST researchers and engineers to streamline experimentation workflows and make analysis easier and more reproducible. Automate infrastructure and deployment workflows to increase reliability and reduce overhead. Troubleshoot, profile, and tune distributed workloads to ensure accurate and performant benchmarking. Identify, reproduce, and debug complex issues in distributed systems, working closely with Logos development teams. You ideally will have Strong experience with Kubernetes and container orchestration in production or research environments. Hands-on experience with libp2p/gossipsub Solid understanding of cloud infrastructure, Linux systems, and networking (especially relevant to distributed/P2P systems). Familiarity with monitoring and logging tools (Grafana, Prometheus, VictoriaLogs, etc.). Experience with infrastructure as code (Terraform, Ansible, Helm, etc.). Proficiency in at least one scripting/programming language (ideally Python). Interest in or experience with distributed systems, P2P networks, or blockchain technologies. Experience with networks and systems programming. Excellent written and conversational communication skills. Alignment with our core values and principles. Bonus points Hands-on experience with projects in the Logos collective. Background in performance benchmarking, scalability testing, or systems research. Contributions to open source projects. Experience working for an open-source organization. Interview Process Interview with our POps team Interview with team member from the IFT-TS DST team Pair programming & discussion of results Interview with IFT-TS team lead

Location: Ireland, Dublin 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. Engineering Manager – Enterprise Data Engineering We are looking for an experienced Engineering Manager to lead a team of Enterprise Data Engineers delivering trusted, scalable and reusable data capabilities across Sony Interactive Entertainment (SIE). The role combines people leadership, technical direction, delivery ownership and operational accountability for enterprise data products, pipelines and integrations. Working with global engineering, architecture, platform, security and business teams, you will enable enterprise priorities spanning Finance, Supply Chain, IT Operations, People & Places and Sales & Operations. You will balance transformation delivery with the reliability, maintainability and continuous improvement of existing data services. Responsibilities Lead, coach and grow the engineering team · Manage performance, development, recruitment and succession; create clear goals, regular feedback and meaningful career plans. · Build a culture of ownership, inclusion, engineering discipline, collaboration and continuous learning. · Provide hands-on technical guidance when needed while delegating decisions and developing senior engineering capability. Own delivery, capacity and execution · Translate enterprise roadmaps into executable plans, milestones, dependencies and measurable outcomes; balance project commitments with run-the-business obligations. · Proactively forecast capacity and skills needs, allocate resources, manage competing priorities and identify delivery trade-offs. · Maintain clear visibility of progress, blockers and risks; escalate early with options and recommendations, and communicate confidently to leadership and stakeholders. · Drive predictable delivery through appropriate agile practices, estimation, design reviews, testing, release management and continuous improvement. Provide technical leadership for enterprise data engineering · Guide architecture and implementation of secure, scalable batch and streaming ingestion, ETL/ELT pipelines, transformations and enterprise integrations. · Champion maintainable engineering patterns across Snowflake, Databricks, Python/PySpark, SQL, dbt and relevant orchestration and integration technologies. · Ensure data models and domain-owned data products are reusable, discoverable, documented and aligned with enterprise standards. · Embed source control, peer review, automated testing, CI/CD, infrastructure-as-code where appropriate, and sound software engineering practices. Own operational quality and production readiness · Be accountable for service reliability, observability, data freshness, data quality, lineage, access controls and operational support for team-owned pipelines and products. · Establish effective monitoring, alerting, incident response, root-cause analysis, recovery procedures and reduction of recurring support effort. · Partner with platform, architecture, security and governance teams on production readiness, privacy, compliance, cost and performance optimisation. Partner across the enterprise · Work with domain and transformation leaders to understand business outcomes, shape requirements and prioritise sustainable data engineering solutions. · Coordinate dependencies with data platform, analytics, AI/ML, application and infrastructure teams to enable end-to-end delivery. · Represent the team’s architecture, products, delivery status, risks and impact in technical and executive forums. Skills and Qualifications · 3+ years of people management or engineering leadership experience, including performance management, coaching and leading delivery teams. · 8+ years of relevant software, data platform or data engineering experience, with demonstrated ownership of production-grade enterprise data solutions. · Strong understanding of data architecture, ETL/ELT, data warehousing/lakehouse patterns, dimensional modelling, data contracts and reusable data products. · Practical technical experience with SQL and Python; strong familiarity with Snowflake, Databricks and PySpark, and experience with dbt or comparable transformation frameworks. · Experience with orchestration, API/file-based integrations, cloud services (preferably AWS), Git-based development, automated testing and CI/CD. · Experience operating business-critical data pipelines, including monitoring, incident management, data quality, security and performance optimisation. · Ability to plan team capacity, manage a portfolio of priorities, resolve cross-team dependencies and provide transparent, proactive delivery reporting. · Excellent stakeholder management and communication skills across engineering, business and senior leadership; undergraduate degree or equivalent experience. Desirable Experience ·  Enterprise Finance or Supply Chain data, including SAP and planning-system integrations (such as Anaplan or Adaptive). · Data governance, metadata/lineage, master data, privacy classification and regulated or sensitive enterprise datasets. · Enabling analytics, machine learning or AI-ready data products and applying AI-assisted engineering practices responsibly. · Working with geographically distributed teams and large-scale enterprise transformation programmes. Salary: €101,000 - €151,400 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 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.

Задачи: Настраивать интеграции с ключевыми системами: - Инфраструктурными (Active Directory, Email-системы, CMDB, Service Management) - SIEM-платформами для централизованного мониторинга и анализа событий. Писать, поддерживать и рефакторить код интеграций в python, bash, powershell;

Location: New York; Charlotte; Atlanta; Washington D.C.; Boston Workplace: Remote WHY PRODUCT ENGINEERING AT LANGFUSE Your work will have an outsized impact. Everything you build is open source (MIT-licensed) and immediately visible. Langfuse has 35,000+ GitHub stars and our SDKs are downloaded more than a hundred million times per month. When you ship a new feature the community notices in GitHub issues, on X, and in our community channels. Product engineers at Langfuse are the people who deliver new features end-to-end to our users. You own the product thinking from understanding the user problem to deciding what to build to shipping the solution. You will also have direct exposure to how cutting-edge LLM applications are built. The users you serve are some of the best and most ambitious software engineers leveraging Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible product and along the way makes you an expert on LLM engineering yourself.   YOU WILL GROW AT LANGFUSE BY - Own features end-to-end: from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post https://langfuse.com/changelog with your name on it. To give you a sense: recent features a single engineer owned include the Langfuse for Agents https://langfuse.com/changelog/2025-11-05-langfuse-for-agents release (new trace views, agent graphs, semantic span labels), the TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga rewrite on OpenTelemetry, and managing dashboards via API/CLI/MCP https://langfuse.com/changelog/2026-07-17-dashboard-and-widget-operations-in-api. - Work across the full stack: and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. You'll touch whatever the feature needs. One week you might be writing a new ClickHouse query for cost analytics, the next you're designing an SDK API, the next you're building a new rust worker for faster data processing. - Talk to users constantly: jump on calls, respond in community channels, and route support requests. At Langfuse, support is how we build conviction about what to build next. Our handbook says it best: support by engineers is a core value proposition. - Write public documentation about the features you own. At Langfuse, docs are product. - Ship publicly during Launch Weeks: we've run four Launch Weeks https://langfuse.com/blog/2025-10-29-launch-week-4 so far, dropping a new feature every day for a week. Engineers present the features they built to the community.   WHAT WE’RE LOOKING FOR - Someone who has built features or even entire products from scratch end-to-end - Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends - Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it. - Taste for great developer experience: you care about API design, UI details, and clear documentation - Interest in open source software and genuine excitement about talking to developers about their problems - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred Bonus points: - Experience with ClickHouse, analytics databases, or building complex data visualizations - Former founder or early startup experience - Contributions to popular open source projects - ML/AI background or familiarity with the LLM framework ecosystem No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.   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.

- Формализация бизнес-логики и алгоритмов: Разработка детальной математической модели и алгоритма расчета объема закупок и распределения товаров с учетом: - Плеча доставки (Lead Time) и его отклонений (Supplier Delay Risk).

Задачи: — Работа над платформой безопасной разработки TRAIO, сканирующей код, библиотеки и приложения. — Работа с банками и госсектором Центральной Азии. Требования: — Опыт работы в стартапе или небольшой команде. — Умение выявлять и предлагать улучшения. — Уверенное владение Linux и Docker. — Опыт работы с Claude Code или Cursor, понимание их ограничений и умение проверять результат ИИ. — Стек: React + TypeScript, Python (FastAPI), PostgreSQL, Docker, GitLab CI. Условия: — Ноутбук и Claude Max за счет компании. — Работа в области AppSec. — График: 5/2, 10:00–18:00.

• От 2 лет коммерческой разработки. • Хороший опыт с Go и Python.

Location: United Kingdom, London 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. Role Overview: We are seeking a Senior Business Intelligence Specialist to lead the development of high-impact analytical solutions and cohesive data experiences that drive insight to action at scale. Operating at the intersection of business, analytics, and engineering, this role leads the translation of complex data challenges into scalable, intuitive solutions. The Sr BI Specialist serves as a senior full stack BI developer and subject matter expert within a business domain, partnering closely with the BIManager, Central BI Team, and Data Engineering to set technical direction, mentor junior team members, and ensure solutions are designed and deployed in accordance with best practices and enterprise standards. What you'll be doing: Analytics Strategy & Delivery Partner with BI Managers to shape and drive the analytics vision, strategy, and roadmap; independently lead workstreams and influence prioritization in alignment with organizational objectives. Translate ambiguous business questions and problems into structured, scalable analytics solutions. Rapidly prototype analytics solutions to gather early stakeholder feedback and iterate efficiently, reducing time-to-insight; serve as a model for agile delivery practices across the team. Solution Design & Development Partner with Data Engineering to architect and implement end-to-end BI solutions — from data ingestion and modeling to visualization — setting technical standards and design patterns that scale across the team and enterprise. Build performant, maintainable dashboards and reports using modern BI tooling (e.g.,DOMO, Tableau, Looker). Own and optimize domain data models that underpin reliable, consistent reporting; conduct peer reviews to ensure quality and maintainability across the team’s solutions. Standardization & Scalability Proactively drive standardization of analytics solutions; lead initiatives with the Central BI Team to scale them into enterprise-wide capabilities. Lead the development of reusable components, templates, and frameworks for the shared analytics library, guide adoption across the BI team. Champion consistent KPI definitions and reporting standards within the business domain. Data Governance & Quality Align on domain-specific data models and KPI definitions in close collaboration with the Central BI Team and business stakeholders. Work with the Central BI Team and Data Engineering to proactively identify, troubleshoot, and resolve data quality issues; lead root cause analyses and own remediation plans to prevent recurrence. Ensure data lineage, documentation, and governance practices are created and maintained for all owned solutions. Stakeholder Engagement Act as a trusted analytics partner to business stakeholders, translating data insights into clear, actionable narratives. Lead demos, training sessions, and enablement workshops; develop scalable self-service programs to drive broad adoption of BI tools and solutions. Gather and synthesize stakeholder feedback to continuously improve analytics products; translate feedback into prioritized enhancements on the team roadmap. Qualifications Education & Experience Bachelor's degree in Computer Science, Information Systems, Statistics, Business Analytics, or a related field (or equivalent practical experience). 8+ years of hands-on experience in Business Intelligence, Data Analytics, or a closely related role, with demonstrated growth in scope and complexity. Demonstrated track record of delivering enterprise-scale analytics solutions that directly influenced strategic business decisions and measurable outcomes. Technical Skills Expert-level proficiency across one or more major BI platforms — DOMO, Tableau, Looker,etc. Expert level SQL skills — complex queries, window functions, CTEs, query optimization. Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery, Databricks). Expertise in data modeling concepts: star/snowflake schemas, dimensional modeling, semantic layers, and performance tuning at scale. Experience with Python or R for data wrangling and exploratory analysis. Analytical & Business Acumen Strong ability to decompose complex business problems into clear analytics requirements. Experience defining and documenting KPIs and business metrics in collaboration with stakeholders. Proven ability to present data-driven insights to both technical and non-technical audiences. Collaboration & Soft Skills Strong communication skills — written, verbal, and visual storytelling. Comfortable navigating ambiguity and working iteratively with stakeholders. Strong cross-functional collaboration skills; experience working with a COE is a plus. Self-starter with a continuous improvement mindset and attention to detail. 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 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, Remote 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. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. 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. $198,200 — $297,400 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 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.

О вакансии: Мы ищем технического эксперта, который станет мостом между потребностями бизнеса заказчика и возможностями наших программных продуктов (RuPost, WorksPad, DesktopX). Вы будете участвовать в ИТ-проектах с продуктами компании, доказывать их эффективность и помогать продажам закрывать сделки на стороне технической экспертизы. Обязанности: — Полное техническое сопровождение сделок: от первого касания и выявления потребностей до защиты решения у ЛПР заказчика; — Проведение глубоких технических презентаций, вебинаров и демонстраций (Demo) возможностей продуктов (удаленно и на выездах); — Анализ ИТ-ландшафта и бизнес-требований заказчика; — Проектирование целевой архитектуры внедрения RuPost, WorksPad и DesktopX; — Расчет архитектур внедрения: подбор вычислительных мощностей (CPU/RAM/Disk I/O), проектирование отказоустойчивости, расчет лицензирования; — Подготовка технических разделов для тендерной документации (ответы на РФИ/РФП, составление спецификаций, обоснование ТЗ); — Консультирование заказчиков и системных интеграторов по вопросам миграции, интеграции и обходным путям (workarounds) при нестандартных требованиях; — Разработка и актуализация технической документации: архитектурные схемы, best practices, кейсы внедрения, FAQ; — Техническое обучение и поддержка партнерской сети (интеграторов), помощь партнерам в сложных предпродажных активностях. Требования: — Хорошие презентационные навыки и публичных выступлений, проведение презентаций, умение объяснять сложное простым языком для бизнеса и техническое — для ИТ-директоров; — Понимание цикла B2B-продаж, опыт участия в коммерческих переговорах, формирование УТП (уникальных торговых предложений) под боли конкретного заказчика; — Уверенное знание архитектуры и администрирования ОС Linux (на уровне администратора); — Понимание сетевых протоколов и служб каталогов: Active Directory, OpenLDAP, Samba, DNS, SMTP, IMAP/POP3, HTTP/HTTPS; — Опыт администрирования и понимания принципов работы почтовых систем (на базе MS Exchange / Linux-решений). Будет плюсом: — Опыт работы в роли Pre-Sales, System Engineer или Solution Architect в компании-разработчике ПО или у крупного системного интегратора; — Успешный опыт работы с Enterprise-сегментом (крупные корпоративные заказчики, госсектор, банки); — Опыт администрирования или внедрения продуктов компании - RuPost, WorksPad, DesktopX; — Участие в проектах импортозамещения; — Опыт работы с отечественными операционными системами (Astra Linux, ALT Linux, RedOS); — Понимание требований регуляторов (ФСТЭК, ФСБ) к средствам защиты информации и опыт работы с сертифицированными решениями; — Опыт участия в государственных и корпоративных закупках (44-ФЗ, 223-ФЗ) в части подготовки технической документации; — Навыки автоматизации: написание скриптов (Bash, Python, PowerShell) для рутинных задач и развертывания; — Опыт работы с системами управления конфигурациями (Ansible, SaltStack) и написания плейбуков для автоматизации инсталляции и настройки продуктов. Условия: — Заряженная команда. — Нам нравится решать нетривиальные задачи. — Делиться опытом и драйвом. — Мы растем, но всегда сохраняем ламповость маленькой компании. — Уверенность в будущем. — Мы чтим ТК РФ: у нас стабильный и прозрачный «белый» доход и полноценный соцпакет. — Конкурентная заработная плата. — Забота о здоровье. — Оформим полис ДМС.

Создание и обновление технической документации для PostgreSQL, включая руководства пользователя, инструкции по установке и настройке, а также руководства администратора; Взаимодействие с командой разработчиков для понимания новых функций и изменений в PostgreSQL, для точного отражения их в документации;

Технические навыки: - Знание и опыт работы с 1С Бухгалтерия, 1С ЗУП, 1С Управление Торговлей, 1С; - Умение разрабатывать и настраивать конфигурации 1С;

-реализовывать высоконагруженные конвейеры обработки данных для обеспечения надежной и бесперебойной репликации данных из ИТ-систем. -реализовывать комплексные задачи по подготовке данных в целевых аналитических хранилищах (DataLake, SandBox, FeatureStore) для построения признаков, необходимых для разработки моделей машинного обучения.

Опыт: от 3 лет в SQL-разработке, обязательно-уверенное владение PostgreSQL. SQL и PostgreSQL: оконные функции, агрегации, подзапросы, хранимые процедуры и функции.

Разрабатывать и исследовать ML-модели для генерации изображений и визуализации интерьерных/строительных решений на основе товаров Лемана ПРО. Проектировать и реализовывать end-to-end пайплайны для PoC: от сбора и подготовки данных до обучения, оценки и демонстрации результатов.

Участвовать в разработке ядра платформы и самых сложных задачах команды. Разбираешься в дата-инфраструктуре: ETL/ELT, DWH и Data Lake, модели данных, витрины, семантический слой.