Задачи:
— Разработка и обновление модулей собственной CMS компании.
— Кодирование и модификация веб-сайтов компании.
— Написание качественного, тестируемого и эффективного кода с использованием лучших практик разработки.
— Интеграция данных из различных API и баз данных.
— Проверка качества кода младших веб-разработчиков и помощь им в задачах.
— Отслеживание новых технологий и трендов в индустрии и применение их в работе.
Требования:
— Высшее образование в области компьютерных наук или смежной области.
— Опыт работы на аналогичной позиции не менее 4 лет.
— Знание как минимум одного из языков программирования: PHP, Python.
— Знание фреймворка Python Django будет преимуществом.
— Знание веб-технологий, таких как Javascript, и знакомство с фреймворками/библиотеками jQuery, Angular или React.
— Базовые знания современных HTML и CSS.
— Свободное или почти свободное владение английским языком.
Условия:
— Гибридный формат работы (2 дня в неделю удаленно).
— Ежемесячные ваучеры на питание.
— Комплексное медицинское и страхование жизни.
— Летние короткие пятницы (август).
— Дополнительный оплачиваемый ежегодный отпуск (до 30 дней, в зависимости от стажа).
— Отпуск в день рождения.
— Оплата обучения и образования.
— Доступ к Udemy Business.
— Программа бонусов за рекомендации.
— Визовая поддержка и помощь с релокацией.
Задачи:
— Разработка и развитие AI-платформы для healthtech-продукта на рынке США
— Проектирование архитектуры продукта: модульный монолит / микросервисы, event-driven архитектура
— Работа с Go как основным backend-языком
— Разработка и интеграция AI/ML-сервисов на Python / FastAPI
— Интеграция LLM, AI-агентов, RAG и self-hosted inference в продуктовую систему
— Работа с workflow orchestration через Temporal
— Проектирование API и интеграций: REST, API Gateway, FHIR / HL7, gRPC
— Работа с базами данных и инфраструктурой данных: PostgreSQL, pgvector, Redis, Neo4j / Amazon Neptune
— Участие в построении облачной инфраструктуры на AWS
— Настройка и развитие DevOps-процессов: Docker, Kubernetes, GitLab CI/CD, Terraform
— Обеспечение наблюдаемости систем через Prometheus / Grafana, CloudWatch, OpenTelemetry
— Участие в вопросах безопасности, авторизации и compliance: OAuth2 / OIDC, управление секретами, шифрование данных, HIPAA / SOC 2
— Hands-on разработка платформенной части, не только архитектурное проектирование
Требования:
— Сильный опыт системного дизайна: сервисы, API, интеграции, базы данных, распределённые системы и облачная инфраструктура
— Опыт разработки на Go и готовность писать код
— Понимание AI / LLM на архитектурном уровне
— Понимание интеграции AI-агентов, RAG и инференса в продуктовые системы
— Опыт проектирования отказоустойчивых и масштабируемых систем
— Понимание принципов event-driven архитектуры и workflow orchestration
— Самостоятельность, ownership и готовность работать в условиях неопределённости стартапа
— Английский язык для чтения технической документации и взаимодействия с партнёрами из США
— Высшее образование в области IT, системного анализа, прикладной математики или инженерии
Будет плюсом:
— Архитектурный опыт построения AI / LLM-систем: агенты, RAG, self-hosted inference, vLLM
— Опыт использования Temporal или аналогичных систем оркестрации workflow
— Понимание распределённых систем: масштабирование, согласованность, отказоустойчивость
— Опыт работы с графовыми базами данных
— Опыт работы в стартапах или в роли founding / lead engineer
— Понимание требований безопасности и compliance: HIPAA, SOC 2 или аналогичные стандарты
— Опыт работы с AWS
Условия:
— Официальное трудоустройство по ТК РК
— Работа из офиса в Астане
— После 7–8 месяцев возможен гибридный или удалённый формат
— Зарплата: $3 000–$4 000
— Опционы / доля в компании обсуждаются отдельно
— Работа в healthtech-стартапе для рынка США
— Возможность влиять на архитектуру продукта и технические решения
— Участие в создании AI-платформы с реальным impact для healthcare-сферы
Location: Kyiv, Ukraine
Technical Coordinator / Solution Engineer
Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Technical Coordinator / Solution Engineer to join our dynamic team on a full-time basis.
We are looking for a hands-on technical professional who will serve as the primary on-site technical expert, supporting deployment, configuration, automation, monitoring, and troubleshooting activities within a customer environment. This role is ideal for a specialist with strong infrastructure and operational experience who enjoys working independently while collaborating closely with remote engineering and product teams.
Responsibilities
Install, configure, and support local server-side software components.
Support local environment setup and configuration of server and viewer-related components.
Manage and support secure data preparation, upload, and processing workflows.
Develop and maintain basic orchestration and automation scripts.
Monitor technical environments and proactively troubleshoot issues.
Investigate problems related to setup, configuration, data uploads, processing steps, and environment stability.
Maintain setup documentation, troubleshooting records, and operational procedures.
Communicate effectively with remote product and vendor technical teams in English.
Escalate product-specific, environment-related, and data-quality issues to appropriate technical stakeholders.
Work predominantly on-site at the customer location in Kyiv, depending on project needs.
Act as the main technical representative on-site while coordinating with remote support teams.
Requirements
Requirements
Required Qualifications
Strong experience working with Windows and/or Linux server environments.
Proven experience installing, configuring, and supporting server-side or enterprise software solutions.
Hands-on scripting experience with Bash, PowerShell, or Python.
Experience creating and maintaining workflow automation and orchestration scripts.
Strong background in deployment, configuration, monitoring, and troubleshooting of technical environments.
Understanding of secure environments, access control, credential management, and sensitive data handling.
Ability to read technical documentation and follow setup and design instructions.
Experience collaborating with remote technical teams and participating in English-language meetings.
Strong analytical and troubleshooting skills.
Ability to work independently with minimal supervision.
Nice to Have
DevOps or Infrastructure Engineering background.
Experience with on-premises or hybrid infrastructure environments.
Experience working with data processing workflows.
Familiarity with visualization platforms, viewer/server environments, or similar technical systems.
Basic knowledge of encryption and decryption workflows.
Experience working with APIs and integrations.
GIS, spatial data, or 3D visualization experience.
Customer-facing technical support, consulting, or implementation experience.
Specific Requirements
Must be based in Kyiv or willing to work primarily from Kyiv.
Availability for regular on-site presence at the customer location.
Comfortable working within a sensitive and secure customer environment.
Openness to customer-side background or security screening if required.
Ability to act as the primary hands-on technical specialist on-site.
Strong sense of ownership, responsibility, and communication skills.
Ability to properly identify, prioritize, and escalate issues when necessary.
What You Should Know
This is not a pure software development role.
This is not a project management role.
The primary focus is hands-on technical execution, including setup, configuration, scripting, monitoring, troubleshooting, and operational support.
Product-specific onboarding, documentation, API guidance, and training will be provided by the product/vendor team.
Benefits
· Paid Time Off — 36 paid days per year
· Work From Home (fully remote format)
· Training & Development opportunities
· Partial medical compensation
Location: Remote - Colombia
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Technical Account Manager
About the job
Twilio is looking for an experienced Technical Account Manager who is going to be the designated technical support engineering contact for our strategic customers. As a designated TAM you will be supporting customers during
Pacific hours (8am to 5pm PT)
and working on the cases created by customers and resolving complex technical problems with potentially very costly and far-reaching consequences. You should have an interest in digging deep as well as be able to zoom out and look at the larger picture. The TAM delivers proactive guidance to the customer to provide added value through the use of Twilio technologies and deliver recommendations to make the customer’s environment less susceptible to business impacting downtime. You are able to remain calm and effective at higher workloads as well as excelling at prioritization and evaluation of situational urgency. There will also be the potential need to volunteer for holiday coverage on a stipend basis.
Responsibilities
In this role, you’ll:
Use your strong technical and diplomatic skills to address customer issues and provide customer feedback to Twilio’s Product and Engineering teams.
Work with our customers' and partners' developers, architects, and support personnel to resolve complex problems with potentially very costly and far-reaching consequences.
Collaborate with your teammates and the Twilio Product and Engineering teams via Slack as well as filing JIRAs to report reproducible bugs.
Understanding customer trends, analyzing patterns, driving betterments and reporting what you observe to the management team in order to better improve our support process is a key part of the role.
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
4 to 6+ years of relevant experience
Good knowledge of RESTful technology, previous work with APIs and ability to understand and troubleshoot issues with cloud solutions.
Broad capabilities to troubleshoot server-side code (Java, Node.js, PHP, C#, Python) and client-side JavaScript, with a good understanding of React and Redux
Development experience in a scripting language (REACT, Node.js, Javascript, Python)
Skilled in troubleshooting network connectivity issues, with an understanding of TCP/UDP, and basics of SSL/TLS.
High competency in communicating complex technical issues to both technical and non-technical audiences via phone or email mediums
Comfortable in working with customers’ developers to troubleshoot use of the Twilio helper libraries.
Have an inquisitive mind to understand how things work
Advanced time management skills, ability to work well under pressure, and proficiency at developing workflows to increase troubleshooting efficiency while still following standard processes and procedures.
Excellence in task prioritization and evaluation of situational urgency.
Interest in utilizing customer feedback to identify and drive improvements in our products.
Enthusiasm for interacting and collaborating with other departments within Twilio in your search for the solutions our customers need.
Ability to stand in the customer’s shoes and demonstrated dedication to the customer experience.
Experience in managing dedicated customer accounts.
Desired:
Understanding of Telecoms and VOIP including WebRTC and SIP
Location
This role will be remote and based in Bogota, Colombia, providing support during 9am to 6pm US Central Time
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Задачи:
— Проектировать и разрабатывать ETL/ELT пайплайны по цепочке Source → ODS → DDS → витрины данных.
— Строить витрины и схемы под аналитику и отчётность; оптимизировать SQL (индексы, партиционирование, предикативный pushdown).
— Настраивать доступ к данным через федеративные SQL-движки, REST/JSON API, батч- и файловые выгрузки, асинхронную обработку тяжёлых выборок.
— Вести пайплайны в Airflow с инкрементальной загрузкой, идемпотентностью и контролем качества данных (DQ).
— Вести каталог данных, глоссарий и data lineage; следить за согласованностью источников.
— Доводить задачи до прода в GitOps-флоу (GitLab CI + ArgoCD), контейнеризация (Docker / K8s).
Требования:
— Уверенный Python и очень уверенный SQL (оконные функции, оптимизация запросов).
— Опыт построения ETL/ELT-пайплайнов и оркестрации (Airflow или аналог).
— Понимание моделирования данных и хранилищ (DWH / DataMart, слои ODS/DDS, нормализация, партиционирование).
— Опыт с реляционными и аналитическими СУБД (PostgreSQL; плюсом — Vertica / Trino / ClickHouse).
— Понимание Git, CI/CD и контейнеризации (Docker), базовое понимание Kubernetes.
— Внимание к качеству данных, идемпотентности и инкрементальной загрузке.
— Интерес к финансовому домену: транзакции, отчётность, регуляторные данные, справочники.
Плюсом будет:
— Федеративные движки (Trino / Presto), каталоги данных и data lineage (OpenMetadata / DataHub). GitOps (ArgoCD), стриминг (Kafka), dbt, IaC.
— Опыт с финансовыми и регуляторными данными, витринами для отчётности, безопасностью данных.
— Базовое понимание LLM/RAG (эмбеддинги, retrieval) — как смежное направление команды.
Условия:
— Работа с современным data-стеком в финансовом домене национального масштаба.
— Менторство и турбо-рост в команде, которая катает продукты в прод каждый месяц.
— ДМС для вас и членов семьи.
— Оплачиваемый отпуск и 100% официальное оформление.
Location: Berlin, Germany
Workplace: remote
ABOUT YOU
We are looking for an Operations Engineer who is technically curious, detail-oriented, a strong communicator, and proactive to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to monitor and investigate production issues across a global platform, help improve how we detect and respond to incidents, analyze trends and patterns in production data, and contribute to better communication with partners and stakeholders during incidents.
Strong troubleshooting skills, observability platform experience, and scripting ability are essential, along with experience in SRE, DevOps, production operations, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — when writing incident updates, shift handoffs, and status page communications will be key to your success in this role.
If you’re passionate about keeping critical systems running and continuously improving operational processes and love being the first to spot issues and the one who drives them to resolution for game developers and players worldwide, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Serve as the primary dashboard monitor during your shift — continuously watch the GTO Operational Dashboard in Datadog, detect anomalies by correlating signals across APM, logs, metrics, synthetic tests, and Real User Monitoring, and determine whether alerts warrant an incident ticket or can be resolved through immediate investigation.
Triage and investigate production incidents — create incident tickets in JIRA Service Management, perform initial technical investigation using Datadog (traces, logs, infrastructure and application metrics), determine blast radius and likely root cause domain, and route to the correct team (Product SRE, Infrastructure SRE, or Engineering) using the smart routing model.
Own lower-severity incidents end-to-end from detection through resolution — diagnose, execute runbook procedures, and resolve without escalation where possible. Escalate promptly when an incident is unresolved within defined thresholds or requires a code-level fix.
Support the TSO Lead during major incidents as the technical right hand in the war room — surface real-time data (error rates, impact scope, deployment history, related alerts), maintain the incident ticket with live timeline entries and linked evidence, and execute mitigation actions as directed.
Draft incident communications under TSO Lead direction, including internal Slack updates, stakeholder notifications, and customer-facing status page updates (status.xsolla.com). Support clear, timely communication throughout the incident lifecycle.
During non-incident periods, analyze incident trends, recurring issues, and production bugs — compile data from Datadog, JIRA, and Slack, identify patterns, and contribute findings to regular reports for product and engineering teams.
Compile incident timelines and draft initial PIR documents for Post-Incident Review preparation. Track PIR action items post-session and flag overdue items to the TSO Lead.
Build and maintain operational automation (alert enrichment scripts, incident templates, Slack workflows, dashboard widgets) and contribute to runbook development — documenting new resolution procedures so they can be repeated by any Operations Engineer on any shift.
Conduct structured shift handoffs covering active incidents, at-risk services, upcoming deployments, and follow-up items. Participate in knowledge transfer sessions with SREs to continuously expand independent resolution capability.
Cover for the TSO Lead during vacations, absences, or emergencies — including severity classification, escalation decisions, stakeholder communications, and basic Incident Commander functions.
Publish health reports of critical apps periodically.
Qualifications:
Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry.
4+ years of experience in SRE, DevOps, production operations, NOC, or technical operations in a high-availability environment.
Strong troubleshooting and investigation skills — ability to take an alert or user-reported symptom and methodically trace it through the stack: application logs, APM traces, infrastructure metrics, database queries, and network paths.
Hands-on experience with Datadog (or equivalent observability platform: Grafana, Splunk, New Relic, Elastic) — navigating APM, building log queries, reading infrastructure dashboards, interpreting SLO burn rates, and configuring monitors and alerts.
Proficiency in at least one scripting language: Python, Go, or Bash. You will write automation scripts, build operational tooling, and work with APIs.
Clear written and verbal communication skills in English — ability to write incident tickets, investigation notes, Slack updates, shift handoff reports, status page communications, and PIR drafts that are clear, concise, and useful to both technical and non-technical audiences.
Working knowledge of Kubernetes and cloud infrastructure (GCP preferred, AWS/Azure acceptable) — understanding of pods, deployments, services, ingress, node health, and how to investigate Kubernetes-related production issues.
Understanding of SLOs, error budgets, and burn-rate alerting — knowing what a multi-window burn-rate alert means, how error budgets deplete, and how SLO breaches translate into incident severity.
Experience with incident management tooling: JIRA or JIRA Service Management, PagerDuty or OpsGenie, Slack, and Confluence.
Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive monitoring, or automated remediation.
Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) is required.
Nice to Have:
Familiarity with Datadog Service Catalog, synthetic monitoring, and RUM (Real User Monitoring).
Experience with distributed systems debugging: tracing failures across microservices, understanding cascading failures, and reading distributed traces end-to-end.
Exposure to database operations (MySQL, PostgreSQL, Redis, Kafka) at a level sufficient to investigate connection pool exhaustion, replication lag, slow queries, or queue backlogs during incidents.
Familiarity with CI/CD pipelines and deployment tooling (GitLab CI, ArgoCD, Helm) — enough to correlate recent deployments with production issues and identify rollback targets.
JIRA Service Management administration experience: workflows, automation rules, SLA timers, and queues.
ITIL Foundation certification is a plus but not required — practical experience matters more.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally.
Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Costa Mesa, United States
WHAT YOU'LL DO
Aerodynamic design of unmanned air vehicles/missiles at conceptual, preliminary, and detail design maturities
Aerodynamic analysis of unmanned air vehicles, using both low and high order methods,
including analysis tool development and improvement as needed
Stability and control analysis
Aircraft performance modeling and simulation
Aerodynamic loads generation
Wind tunnel test planning, execution, and analysis
Flight test planning, execution, and analysis
REQUIRED QUALIFICATIONS
BS or higher degree in Aerospace Engineering
3+ work experience as an individual contributing engineer
Experience with aircraft performance and analysis predictions
Competent in a variety of aerodynamic analysis techniques including hand calculations, vortex, lattice methods, panel methods, and computational fluid dynamics (CFD)
Wind tunnel and flight test experience including data acquisition, data analysis and project coordination
Strong programming skills in higher-level languages (e.g., MATLAB, Python) for internal tool development in a version-controlled environment
Experience preparing formal documentation (i.e., specifications, test procedures, technical reports, etc.)
Passion for defending the United States and her allies
Eligible to obtain and maintain an active U.S. Secret security clearance
PREFERRED QUALIFICATIONS
StarCCM+ experience
Ice accretion or icing analysis experience
Missile DATCOM, OTIS, or DYMOS
Experience with transonic and supersonic flow regimes
Active U.S. Secret security clearance
Location: Costa Mesa, United States
WHAT YOU’LL DO
Architect and implement UVM verification environments (drivers, monitors, predictors, scoreboards) for AMD (Xilinx) FPGA/SoC designs
Develop verification plans with traceability to system and hardware requirements
Author SystemVerilog Assertions (SVA) for protocol compliance and design intent checks
Build functional coverage models and drive code coverage analysis to closure
Develop constrained-random and transaction-level test sequences to maximize coverage and uncover corner-case bugs
Establish and maintain regression suites, tracking coverage metrics and verification progress
Debug failures using waveform tools and simulation logs at the HDL and system level
Collaborate with design engineers on RTL reviews, bug resolution, and micro-architecture refinement
Support hardware validation and board bring-up on target platforms
Ensure verification meets DO-254 and relevant safety standards
Author verification closure reports and coverage analysis summaries
REQUIRED QUALIFICATIONS
Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field
2+ years of experience in FPGA/ASIC verification
Proficient in SystemVerilog, UVM methodology and SVA, with experience contributing to and extending UVM testbenches
Object-oriented programming principles
Industry simulators (Questa, VCS, Xcelium, or Vivado)
Git-based collaborative workflows including code review
Linux development environments
Strong communication and teamwork skills
Eligible to obtain and hold a U.S. Secret security clearance
PREFERRED QUALIFICATIONS
5+ years of experience in FPGA/ASIC verification
Master’s degree in Electrical Engineering, Computer Engineering, or related field
DO-254, avionics verification standards for UAS, and safety-critical verification processes
SVUnit or equivalent unit-testing frameworks
Formal verification or CDC verification tools
Digital interfaces: Ethernet, PCIe, JESD204C, MIL-STD-1553, SPI
Verification automation scripting (Python, Tcl, Makefile)
SoC and ARM-based embedded platforms
Verification automation, CI/CD integration, and Nix-based build environments
Location: Barcelona, Spain; Budapest, Hungary; Düsseldorf, Germany; Frankfurt, Germany; Krakow, Poland; Krosno, Poland; Liège, Belgium; Lille, France; Vilnius, Lithuania; Ljubljana, Slovenia; Lublin, Poland; Lyon, France; Madrid, Spain; Città Vittoriosa, Malta; Podgorica, Montenegro; Poland; Sarajevo, Bosnia and Herzegovina; Banská Bystrica, Slovakia; Sofia, Bulgaria; Stuttgart, Germany; Tenerife, Spain; Wien, Austria; Warsaw, Poland; Zagreb, Croatia; Zürich, Switzerland; Petten, Netherlands; Aachen, Germany; Athens, Greece; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Berlin, Germany; Bolzano, Italy; Bordeaux, France; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucuresti, Romania; Bucharest, Romania; Buenos Aires, Argentina; Dusseldorf, Germany; Hamburg, Germany; Hannover, Germany; Luxembourg; Amsterdam, Netherlands; Pondicherry, India; Ahmedabad, India; Berat, Albania; Delhi, India; Dnipro, Ukraine; Helsinki, Finland; Bangalore, India
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Formal Verification (FV) Engineer to join one of our clients' teams.
Reporting directly to the Vector Unit Verification Lead, this is a highly technical Individual Contributor (IC) role. In this position, you will be the dedicated formal expert for the VU team, responsible for designing scalable formal testbenches, writing mathematical properties, and ensuring the absolute algorithmic and architectural integrity of our vector pipeline. You will work side-by-side with VU microarchitects to hunt down deep corner-case bugs and achieve formal sign-off on high-complexity arithmetic and execution blocks.
Key Responsibilities
Block-Level Execution & Convergence Engineering (90%)
End-to-End Testbench Ownership:
Design, deploy, and maintain robust formal verification environments for complex Vector Unit sub-blocks (e.g., Vector Execution Pipelines, Vector Register File/Rename interfaces, and Vector Floating-Point Units).
Datapath & Arithmetic Verification:
Implement advanced word-level modeling, bit-blasting, and algebraic rewriting strategies to verify complex IEEE-754 floating-point and integer vector arithmetic units.
Proof Convergence Management:
Independently diagnose and resolve proof-convergence failures, over-constraints, and state-space explosions using advanced reduction techniques (e.g., case-splitting, black-boxing, and abstraction modeling).
RISC-V Vector Compliance:
Develop formal environments to mathematically prove that the VU pipeline strictly complies with the RISC-V Vector (V) Extension specification.
Simulation Partnership:
Collaborate closely with VU simulation engineers to define a razor-sharp boundary between simulation and formal verification, ensuring maximum bug-hunting efficiency and zero coverage gaps.
Embedded Mentorship & Best Practices (10%)
Formal-Friendly Design:
Partner with VU microarchitects during early-stage RTL development to drive formal-friendly coding styles and structural design patterns.
SVA Propagation:
Review and refine SystemVerilog Assertions (SVA) written by design and simulation peers, establishing best practices for block-level assertions within the VU team.
Education:
B.S./M.S. in Computer Engineering, Electrical Engineering, or Computer Science with practical industry execution; or a Ph.D. with a research focus on formal methods or computer arithmetic.
Experience:
5+ years of production-grade hardware verification experience (or Ph.D. + 1–3 years) with a strong, proven track record of applying formal verification to CPU, GPU, or DSP execution pipelines.
Collaboration Style:
A self-driven engineer who enjoys deep mathematical puzzles, collaborates seamlessly within a localized block-level team, and can translate complex proof counter-examples into actionable bugs for designers.
Datapath Validation Focus:
Strong specialization in arithmetic formal verification, algebraic rewriting, and word-level modeling. Familiarity with control-path formal techniques (liveness, safety properties) is highly welcome.
Vector Microarchitecture:
Good working knowledge of high-width execution pipelines, vector execution units, or floating-point/integer arithmetic hardware. Experience with Out-of-Order execution mechanics is a plus.
Formal Tools:
Proficient command of commercial EDA formal tools (e.g., Cadence JasperGold/DPV, Synopsys VC Formal, Siemens OneSpin) and their specialized mathematical/datapath apps.
Languages:
Native fluency in SystemVerilog and SystemVerilog Assertions (SVA). Scripting proficiency (Python, Tcl, or Bash) for testbench automation.
Nice to Have
RISC-V Core Verification.
RISC-V Ecosystem:
Familiarity with the RISC-V Architecture, specifically the Vector (V) and Floating-Point (F/D) extension ecosystems.
Emulation platforms (Veloce, ZeBu).
Core/Bus interface protocols (e.g., AXI/CHI).
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are building the foundational data infrastructure that powers one of the world's leading crypto exchanges. As a
Big Data Platform Engineer
, you will design, build, and evolve the core platform services that enable hundreds of data engineers and analysts to move fast and ship reliable pipelines. You will be at the forefront of our AI agent initiative — embedding LLM-driven capabilities directly into the platform layer so that scheduling, cost optimization, and incident response increasingly run autonomously.
What You’ll Be Doing
Platform Core:
Design and operate large-scale distributed data systems
Own the big data compute and storage infrastructure (MaxCompute/ODPS, Hologres, Spark)
Build and maintain multi-site task orchestration that dynamically selects engines and enforces policy
Drive reliability and performance improvements across batch and real-time pipelines
AI Integration:
Build the AI-native platform layer
Develop and expose MCP (Model Context Protocol) tool interfaces so AI agents can interact with platform APIs
Build the scheduling and cost-optimization agents that auto-tune resource allocation and alert severity
Instrument platform telemetry to feed AI-driven SLA monitoring and anomaly detection
Design context retrieval pipelines (RAG / vector search) for SQL code and config knowledge bases
Tooling & DX:
Evolve the developer experience
Own the internal data development platform — IDE integrations, code review automation, deployment tooling
Build APIs-first tools (backfill, ingestion automation) designed for future MCP integration
Collaborate with data warehouse and service teams to define platform contracts
Ops
& Governance:
Drive operational excellence
Establish SLA benchmarks, cost metrics, and latency dashboards as AI optimization targets
Build automated incident response and root-cause analysis pipelines
Define and enforce infrastructure policies across multi-cloud environments
AI Agent Ownership — Platform Tier
Scheduling Agent: auto-configure task dependencies, engine selection, cost/performance trade-offs, and alert tiers
Operations Agent: detect pipeline latency, performance degradation, and schema drift; trigger remediation
Incident Response Agent: trace SLA breaches to root cause, assign accountability, generate post-mortems
MCP Tool Layer: design and maintain the cross-platform tool interfaces that all agents call into
What We Look For In You
5+ years of experience building large-scale data platforms (Hadoop/Spark/Flink or equivalent)
Deep expertise in distributed storage and compute systems (MaxCompute, Hologres, ClickHouse, Hive)
Strong software engineering skills in Java, Scala, or Python; experience with API-first design
Hands-on experience with task scheduling systems (Airflow, DolphinScheduler, or in-house equivalents)
Solid understanding of multi-cloud architectures and cost governance
Familiarity with LLM integration patterns: tool calling, RAG pipelines, context management
Experience with MCP or similar agent-tool frameworks is a strong plus
Passion for building systems that make other engineers 10x more productive
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote
Workplace: Remote
ABOUT US
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
ABOUT THE TEAM
The Experiments team at Constructor builds an experimentation platform: traffic allocation, exposure logging, metric computation, statistical analysis, and a UI for launching experiments and interpreting results. It’s used both internally and by customers running experiments on production traffic.
We’re scaling customer experimentation usage and investing in making experiments faster, more reliable, and easier to interpret. Unlike boxed experimentation tools, our platform has to support a wide range of customer integrations, traffic patterns, and industry constraints — which makes the engineering problems unusually real-world and high-leverage.
Team: 3 Software Engineers, 1 Data Analyst, an Engineering Manager, and a Product Manager.
THE ROLE
This is primarily a backend role (Python services + data-heavy systems). You’ll occasionally work in the Dash UI and contribute to Spark jobs, but those are not the main focus. We care about correctness, observability, and product usability more than complex infrastructure.
Tech: Python, FastAPI, PostgreSQL, Plotly Dash, PySpark/Databricks, AWS, CloudWatch, Sentry
(Spark work is ~5–10% — we don’t expect you to be a data engineer or own the data platform.)
WHAT YOU’LL DO
- Build and maintain backend services for experiment assignment, logging, and report generation
- Improve scalability, performance, and reliability of experiment reporting pipelines
- Add product-facing features to the UI to help users launch experiments and interpret results
- Take technical ownership of projects: shape solutions, break down work, and drive execution with the team
- Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions)
You’ll collaborate closely with Search/Recommendations engineers, ML/DS partners, and customer-facing teams when needed. This role does not require frequent direct customer calls.
REQUIREMENTS
MUST-HAVE
- Strong experience building and owning production backend services in Python
- Experience with monitoring, alerting, and debugging user-facing systems
- Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics)
- Ability to ship maintainable software (tests, code review, incremental delivery)
MINDSET
- You take ownership: you can turn ambiguous problems into an executable technical plan
- You care about building systems people trust and rely on
NICE-TO-HAVE
- Experience with experimentation systems, metrics platforms, or A/B testing workflows
- Experience with PySpark and/or Databricks
- We don’t expect you to already be an expert in experimentation methodology — but we do expect strong backend fundamentals and the ability to ramp up effectively in a data-heavy domain
LOCATION / TIME ZONES
- We’re a distributed team. Preferred time zones are UTC+1 to UTC+7, but we’re flexible
BENEFITS
- 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year
- 🌎 Fully remote team - choose where you live
- 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office
- 💻 Apple laptops provided for new employees
- 🧑🎓 Training and development budget - refreshed each year for every employee
- 👪 Maternity & Paternity leave for qualified employees
- 🧠 Work with smart people who will help you grow and make a meaningful impact
- 💵 Base salary: $80k–$110k USD, depending on knowledge, skills, experience, and interview results
- 📈 Stock options - offered in addition to the base salary
- 🎉 Regular team offsites to connect and collaborate
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Europe
Workplace: Remote
ABOUT ENEBA
At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.
ABOUT THE TEAM
We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions.
RESPONSIBILITIES
- Enable efficient data access by creating and maintaining data pipelines.
- Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
- Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics.
- Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes.
- Design new and improve current patterns for building data models and implement necessary modifications.
REQUIREMENTS
- 5+ years of experience in data engineering or in a similar role.
- Extensive experience with Apache Spark using Python for large-scale data processing.
- Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage.
- Experience with AWS, Azure, or other Kubernetes platforms is a huge plus.
- Must have hands-on expertise with Git for version control and collaboration.
- Solid knowledge of SQL, essential for querying and managing relational databases.
Salary ranges: 58000-70 000 euro gross annually
What it’s like to work at Eneba
*Opportunity to join our Employee Stock Options program.
*Opportunity to help scale a unique product.
*Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
*Paid volunteering opportunities.
*Work location of your choice: office, remote, opportunity to work and travel.
*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
*Please attach CV's in English.
*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice
#LI-JP1
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
As a Technical Expert, you will lead the development of the company’s core security engineering and DevSecOps capabilities, with a strong focus on
security product development, platform engineering, and
SDK
/Agent development
. The ideal candidate should demonstrate
deep security expertise, broad technical coverage, strong hands-on engineering capability, and exceptional influence in driving security governance across business teams
.
What You’ll Be Doing
Lead the architecture and core development of the company’s
end-to-end DevSecOps platform, security products, and SDKs/Agents
, covering code, build, artifacts, images, deployment, and runtime security.
Own the design and development of
RASP / Java Agent runtime protection
, leveraging
ASM, ByteBuddy, and Java Instrumentation
for bytecode enhancement, runtime hooks, detection and blocking engines, while continuously improving performance, stability, and compatibility.
Build and integrate
SAST, DAST, IAST, SCA, code security scanning, and image security scanning
into CI/CD workflows, and drive deep integration of tools such as
SonarQube
and Coverity
to form a closed loop of scanning, gating, remediation, and re-validation.
Drive core application security protection and offensive/defensive capabilities across scenarios such as
XSS,
SQL
injection, SSRF, deserialization, command execution, authentication/authorization flaws, privilege escalation, and API security
.
Advance
AI-Native Security Engineering
by applying
LLMs and AI Agents
to vulnerability analysis, rule generation, false-positive reduction, remediation suggestions, security knowledge management, and workflow automation, while building deep understanding of their architecture, principles, and security implications.
Partner closely with business engineering teams to drive security standards, integration rules, quality gates, risk classification, remediation workflows, and overall security governance adoption.
Collaborate with engineering, architecture, operations, QA, and business stakeholders to solve complex security problems and turn them into scalable product capabilities, engineering solutions, and governance mechanisms.
What We Look For In You
Strong fundamentals in computer science and security, with deep understanding of
operating systems, networking, compilers/
JVM
internals, distributed systems, application security, cloud-native security, and software supply chain security
, with both
breadth and depth
in security technologies.
Expert-level Java proficiency
, especially in
JVM
internals,
ClassLoader
, Java Agent, ASM, ByteBuddy, bytecode instrumentation, profiling, and performance tuning
; proficient in
Python or Golang
as well.
Proven hands-on experience with
RASP, SAST, DAST, IAST, SCA, image security, and code security scanning
, with the ability to independently design, integrate, and productionize security capabilities.
Strong
offensive and defensive security experience
, with deep understanding of vulnerability root causes, exploitation techniques, detection logic, bypass methods, and remediation strategies in web, API, and microservice environments.
Strong practical experience with
LLMs and AI Agents
, plus deep understanding of model architecture, agent design, tool invocation, context engineering, evaluation methods, and the impact of AI on both security engineering and attacker capabilities.
Strong engineering and product mindset, capable of leading the design and implementation of security products, platform modules, and SDKs/Agents while balancing
security effectiveness, performance overhead, integration cost, and operability
.
Strong ownership, communication skills, and cross-functional influence, with a proven ability to drive business teams on security governance, policy adoption, and remediation outcomes.
Preferred Qualifications
Background from
top-tier Internet companies, cloud providers, or leading cybersecurity vendors
;
Experience leading
DevSecOps platforms, application security platforms, RASP systems, code scanning platforms, or cloud-native security platforms
;
Strong experience in
security product development,
SDK
/Agent development, vulnerability research, penetration testing, red/blue team exercises, or incident response
;
Hands-on experience in
AI + Security
initiatives such as security copilots, intelligent rule generation, automated vulnerability analysis, or remediation recommendation systems.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Paris; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a Code Data Annotation Quality Specialist on the Human Data Annotation team, you will play a dual role in ensuring the quality of code annotations and maintaining the tools that support annotators. This role exists to uphold the highest standards for data used in training and evaluating AI models, while also improving the workflows and tools that enable efficient annotation. You will spend most of your time reviewing and auditing annotations against rubrics, with the remainder focused on building, maintaining, and troubleshooting internal tooling. Your collaboration with annotators, technical program managers, and engineers will help refine the guidelines and processes that shape how our data is produced.
WHAT YOU WILL DO
- Generate and validate high-quality data annotations based on guidelines and continuous feedback.
- Surface systemic issues, edge cases, and gaps in guidelines to annotation operations and technical stakeholders.
- Produce annotations yourself to model the quality bar expected of the team.
- Build and maintain internal tools and automation to streamline annotator workflows, such as dashboards, scripts, and utilities.
- Troubleshoot environment, tooling, and version control issues for annotators, liaising with IT and engineering as needed.
- Collaborate with stakeholders to refine guidelines and processes for data production.
WHAT WE'RE LOOKING FOR
- A degree in computer science, engineering, or a related field, or 2 to 5 years of professional experience in software engineering, technical support, or tool development.
- Hands-on experience using code agents in your development workflow and a genuine interest in their evolution.
- Proficiency in at least one programming language (e.g., Python, JavaScript), with the ability to read and reason about code across multiple languages.
- Ability to apply consistent judgment against a rubric and identify edge cases, ambiguities, or gaps in guidelines.
- Sustained focus and accuracy for detail-oriented, high-volume review work.
- Comfort working in a Unix-like terminal, including shell basics, package managers, environment setup, and version control workflows.
- Ability to troubleshoot local development environment issues across common operating systems.
- Professional proficiency in English, with strong writing and comprehension skills.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Key Responsibilities:
— Develop and implement gameplay mechanics, systems, and tools.
— Collaborate with designers and artists to bring game features to life.
— Optimize code for performance and memory usage.
— Debug and resolve technical issues throughout the development cycle.
— Contribute to the design and improvement of game engines and pipelines.
Requirements:
— Proven experience as a Programmer in game development or a related field.
— Proficiency in programming languages like C++, C#, or Python.
— Experience with game engines like Unreal Engine or Unity.
— Strong problem-solving and debugging skills.
— Excellent communication and teamwork abilities.
Preferred Qualifications:
— Experience with multiplayer or networked game development.
— Knowledge of graphics programming (e.g., HLSL, GLSL).
— Familiarity with AI programming and physics simulations.
What We Offer:
— Competitive salary and benefits.
— Opportunity to work on exciting, high-profile game projects.
— Collaborative and inclusive work environment.
— Professional growth and development opportunities.
Ищем ML Engineer в команду рекомендаций социальной сети для геймеров Gameram. Вакансия ближе к DE/MLOps — основной фокус на подготовке и доставке рекомендательных систем до пользователя и их стабильной работе в проде.
Стек: Scala, Python, Spark, Airflow, Hadoop/HDFS, Kafka, ZooKeeper, ClickHouse, Superset, Redis, PostgreSQL, AWS
Обязанности:
— Выводить ML-модели и рекомендательные системы в production;
— Развивать и поддерживать ML-инфраструктуру;
— Взаимодействовать с Data Science, продуктом и другими инженерами.
Требования:
— 4+ года опыта в разработке;
— Уверенный Scala и/или Python;
— Опыт вывода ML-моделей в production и поддержки production-систем;
— Опыт работы с Big Data и распределённой обработкой данных;
— Понимание ML-пайплайнов и жизненного цикла моделей;
— Опыт с рекомендательными системами будет большим плюсом.
Условия:
— full-time, удалённо (не РФ).
— Зарплата: $4,000–5,000 gross / месяц.
Location: One Kattameya, Cairo
Workplace: onsite
We are looking for Senior Data Analyst who has deep technical analytics with business partnership. In this role you aren't just expected to build dashboards, you're expected to own the entire analytical lifecycle and influence business decisions.
What you'll do:
Own analytics for one or more business domains (such as Lending, Payments, Risk, Sales, or Growth), acting as the primary analytics partner for stakeholders.
Translate ambiguous business questions into clear analytical problems, delivering actionable insights that drive decision-making.
Build, maintain, and govern trusted metrics and dashboards in Looker using LookML, ensuring consistent definitions and a reliable single source of truth.
Conduct advanced analyses, including funnel diagnostics, cohort analysis, segmentation, churn and activation analysis, and causal inference, to uncover not just what happened, but why.
Partner directly with senior stakeholders to scope requests, prioritize work, communicate findings, and confidently present analytical recommendations.
Ensure data quality by validating datasets, reconciling discrepancies, and identifying limitations related to data availability or privacy requirements.
Contribute to the analytics platform by improving documentation, semantic models, coding standards, and best practices that enable the team to scale.
Communicate insights through concise dashboards, presentations, and documentation tailored to different audiences.
To succeed in this role, you'll need to have:
5+ years of experience in data analytics, including at least 2 years operating independently in a senior individual contributor capacity.
Background in fintech or banking is strongly preferred.
Advanced SQL with strong understanding of complex datasets and multi-row relationships.
Experience with cloud data warehouses such as BigQuery (preferred), Snowflake, or Redshift.
Strong experience building governed BI solutions in Looker/LookML or comparable platforms such as Tableau or Power BI.
Experience with dbt or similar data transformation frameworks.
Working knowledge of Python or R for analysis and automation.
Strong foundation in statistics, experimentation, and causal analysis (A/B testing, cohort analysis, regression, diff-in-diff, regression discontinuity, etc.).
Ability to transform ambiguous business questions into well-scoped analytical projects.
Strong analytical judgment and methodological rigor.
Excellent stakeholder management and communication skills.
Commitment to data quality, governance, and consistent metric definitions.
Ability to work autonomously and own projects from problem definition through delivery.
Kyiv, Ukraine; Must be based in Kyiv or willing to work primarily from Kyiv; Availability for regular on-site presence at the customer location
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorBarcelona, Spain; Budapest, Hungary; Düsseldorf, Germany; Frankfurt, Germany; Krakow, Poland; Krosno, Poland; Liège, Belgium; Lille, France; Vilnius, Lithuania; Ljubljana, Slovenia; Lublin, Poland; Lyon, France; Madrid, Spain; Città Vittoriosa, Malta; Podgorica, Montenegro; Poland; Sarajevo, Bosnia and Herzegovina; Banská Bystrica, Slovakia; Sofia, Bulgaria; Stuttgart, Germany; Tenerife, Spain; Wien, Austria; Warsaw, Poland; Zagreb, Croatia; Zürich, Switzerland; Petten, Netherlands; Aachen, Germany; Athens, Greece; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Berlin, Germany; Bolzano, Italy; Bordeaux, France; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucuresti, Romania; Bucharest, Romania; Buenos Aires, Argentina; Dusseldorf, Germany; Hamburg, Germany; Hannover, Germany; Luxembourg; Amsterdam, Netherlands; Pondicherry, India; Ahmedabad, India; Berat, Albania; Delhi, India; Dnipro, Ukraine; Helsinki, Finland; Bangalore, India
Singapore, Singapore
seniorLondon
УдалённоLOCATION / TIME ZONES; Preferred time zones are UTC+1 to UTC+7, but we’re flexible
УдалённоEurope
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
ГибридParis; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
