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Location: Kundl, Austria D-ploy is a company specializing in IT and Engineering Solutions, with projects worldwide, including in Switzerland, Germany, the Czech Republic, Austria, the United Kingdom, and the United States. We are proud to provide outstanding and innovative services to numerous industry-leading clients. By building strong relationships and trusted partnerships within the IT community, we optimize our clients' IT productivity and contribute to their business success and core values. We are looking for dedicated, flexible, and solution-oriented individuals who would like to work on-site in Kundl and become part of a dynamic, rapidly growing, and international organization. The candidate will be responsible for the end-to-end physical deployment and logical validation of network infrastructure. You will be expected to diagnose issues across Layers 1, 2, and 3 of the OSI model, ensuring that physical connectivity aligns with logical configurations. Responsibilites Advanced Device Racking & Mounting Precision Placement: Interpret and execute Rack Elevation Diagrams (REDs) to mount high-density chassis (Cisco Nexus 9k, Catalyst 9500) and 1U/2U appliances. Mechanical Safety: Ensure proper use of rack rails, cage nuts, and stabilization kits. Manage weight distribution to maintain rack integrity. Power Sequencing: Connect dual-homed power supplies to diverse PDU sources (A+B feeds) and perform "pull tests" to verify seating. Structured Cabling & Fiber Management Fiber Optics: Expert-level handling of Single Mode (SMF) and Multi-Mode (MMF) fiber. Proficiency in cleaning connectors (IBC cleaners) and inspecting end-faces with fiber scopes. SFP/Transceiver Management: Correctly identify and install SFP, SFP+, QSFP+, and QSFP28 modules. Troubleshoot "link down" issues by verifying wavelength compatibility (e.g., 850nm vs 1310nm) and light levels. Patching & Labeling: Execute high-density patching in accordance with ANSI/TIA-606-B standards. Ensure every cable is labeled at both ends with Near-End/Far-End information. Patch Panels & Cross-Connects Circuit Extensions: Coordinate with Telco providers to extend circuits from the Meet-Me-Room (MMR) to the local rack via cross-connects. Patch Panel Termination: Manage copper (RJ45) and fiber (LC/SC/MPO) patch panels. Perform "light-checks" using Visual Fault Locators (VFL) to trace paths through multiple patches. Media Conversion: Deploy and troubleshoot media converters or transceivers when transitioning between different physical media types. Remote Management & Console Access Out-of-Band (OOB) Setup: Configure and cable Terminal Servers (e.g., Opengear, Lantronix, or Cisco ISR) to provide permanent remote console access to all managed devices. Serial Connectivity: Troubleshoot baud rate mismatches, roll-over cables, and DB9-to-RJ45 adapters to ensure the NOC has a reliable "backdoor" during outages. Local Support: Be prepared to connect locally via laptop and serial-to-USB adapters to provide a "live stream" of boot sequences or BIOS-level troubleshooting. Advanced Routing & Switching Knowledge L1 Fundamentals : Strong working knowledge in ethernet , Gigabit Ethernet, Serial , fiber cabling, transceivers (Arista, Cisco SFP+, QSFP+), SFP, PIC, NIM, HA ports, power supplies, patching and troubleshooting, with knowledge of DWDM and experience in handling 10/20/40 Gig Fiber links L2 Fundamentals: Configure and troubleshoot VLANs, VTP, and Spanning Tree Protocol (STP), Port mirroring, packet captures . Must understand how to identify and resolve broadcast storms or physical loops at the rack level. L3 Fundamentals: Assist in the bring-up of Layer 3 interfaces (SVIs and Routed Ports) . Basic knowledge of prefix lengths and IP addressing to verify gateway connectivity. Protocol Verification: Use CLI commands to verify BGP and OSPF neighbor adjacencies after physical circuit hand-offs or cross-connect installations. EtherChannel/LACP: Provision and troubleshoot Link Aggregation Groups (LAGs). Ensure that physical cabling matches the logical member-port configuration on the switch. Requirements Experience: 6–8 years in a Data Center or large Enterprise campus environment. Ethernet, Fiber cabling, Hardware : Experience in installation of ethernet, fiber cabling on Cisco, Arista and Palo Alto, F5 load balancers and its associated components like SFP, PIC, NIM, DPC Routing and Switching: Ability to navigate Cisco IOS, NX-OS, PAN OS or Arista EOS to perform show commands and basic interface configurations. Tools: Proficiency with Visual Fault Locators (VFL), Light Meters, and Fiber Inspection Scopes. Certifications: CCNA or equivalent is mandatory ; CCNP Enterprise (ENCORE) is highly preferred to demonstrate routing and switching proficiency. Experience in handling mission critical network incidents/problems in Enterprise network Large campus networks and Data center,  is preferred. Fluency in English and German (C1) Candidates must be able to present a Criminal Record (not older than 3 months). Benefits A wide range of activities, responsibilities, and projects Vouchers and gifts (birthday voucher, wedding gift, and newborn baby surprise) Fishing for Friends Program – our employee referral program Opportunities for professional development and career advancement A friendly and international working environment Company-sponsored events Compensation is provided in accordance with the Austrian IT Collective Agreement. Depending on qualifications and professional experience, there is a willingness to offer a salary above the collective agreement level. Is IT in your DNA? Join us and help deliver IT where it counts.

Location: Monclova, Mexico; Monterrey, Mexico Company Overview Our client operates in a contract manufacturing and industrial manufacturing environment focused on fabrication, welding, assembly, electrical integration, and coating of complex modular systems. Our high-mix, engineered-to-order production environment requires disciplined execution, Lean Manufacturing, Continuous Improvement, and scalable operational leadership to support rapid growth and production demands across large-scale manufacturing facilities. Position Overview Uptalent is seeking a Plant Manager – Manufacturing to lead full-site operations at our Monclova, Mexico facility. The Plant Manager will oversee Manufacturing Managers, Production Managers, Value Stream Managers, and Supervisors while driving performance across fabrication, welding, industrial assembly, electrical integration, and paint operations. This Plant Manager role is responsible for full operational execution, scaling production, and delivering against throughput, quality, safety, and on-time delivery in a contract manufacturing environment. This role owns a large-scale manufacturing P&L ($100M+) and requires strong financial leadership, operational discipline, and experience scaling manufacturing operations in industrial environments. Key Responsibilities Plant Leadership & Manufacturing Operations Lead full-site manufacturing operations as a Plant Manager across fabrication, welding, industrial assembly, electrical integration, and paint Oversee Manufacturing Managers, Production Managers, Value Stream Managers, and Supervisors across all production functions Drive execution in a high-mix, engineered-to-order contract manufacturing environment Ensure alignment of production schedules, system integration activities, and Bill of Materials (BOM) execution across all departments Scale operations to support production growth, capacity expansion, and facility performance Lean Manufacturing & Continuous Improvement Lead enterprise Lean Manufacturing initiatives including 5S, Kaizen, and Continuous Improvement programs across the plant Apply Six Sigma, Root Cause Analysis, 5 Whys, and Fishbone methodologies to eliminate defects and improve performance Drive plant-wide improvements in throughput, cycle time, and operational efficiency Standardize processes and scale best practices across fabrication, welding, assembly, electrical, and paint operations KPI Ownership & Operational Performance Own plant-level KPIs including on-time delivery, on-time release, inventory turns, throughput, safety, and quality Drive ISO9001 compliance and ensure quality systems are embedded across all manufacturing functions Improve defect rates, reduce rework, and increase production stability Establish performance accountability across all levels of the organization Financial Ownership & P&L Management Own and manage a large manufacturing P&L ($100M+), including cost control, labor efficiency, and operational spend Partner with Finance on budgeting, forecasting, and cost optimization strategies Drive margin improvement through operational efficiency, waste reduction, and process optimization Monitor cost drivers including labor, material utilization, and overhead Safety, Quality & Compliance Lead plant-wide safety performance, ensuring compliance with OSHA standards and internal safety protocols Maintain a strong safety culture with measurable KPIs and continuous improvement initiatives Ensure compliance with ISO9001 and internal quality standards across all operations Cross-Functional Alignment Partner with Engineering to resolve system integration challenges, fitment issues, and design improvements Collaborate with Supply Chain to ensure material availability, BOM accuracy, and inventory performance Work with Quality to enforce standards and drive corrective actions Align with Program Management to support production schedules and delivery commitments Leadership & Organizational Development Build and lead a high-performing manufacturing organization across all production functions Develop Manufacturing Managers, Production Managers, and Supervisors to drive operational excellence Establish leadership accountability and performance standards across the plant Support workforce development including technical training, certifications, and leadership growth Requirements Required Qualifications 10–15+ years of experience in manufacturing leadership roles including Plant Manager, Operations Manager, or Manufacturing Manager Extensive experience managing large-scale manufacturing P&L ($100M+) Experience in contract manufacturing and industrial manufacturing environments Strong background across fabrication, welding, industrial assembly, electrical integration, and paint operations Proven experience leading Lean Manufacturing, Continuous Improvement, and Six Sigma initiatives Experience managing plant-level KPIs including throughput, inventory turns, on-time delivery, safety, and quality Strong operational and financial leadership experience in high-mix, engineered-to-order manufacturing environments Based in, or willing to relocate to, Monclova, Mexico or Monterrey, Mexico for a hybrid role Eligible to work in Mexico Preferred Qualifications Bachelor’s degree in Industrial Engineering, Mechanical Engineering, or a related technical discipline Experience scaling manufacturing operations in high-growth environments Experience with automation, welding robots, or advanced manufacturing processes Certified welder or electrician credential a plus Six Sigma or Lean Manufacturing certification, or experience with structured problem-solving methodologies Experience in data center manufacturing or infrastructure projects Experience in generator manufacturing Experience in switchgear or electrical equipment manufacturing Experience in BESS (battery energy storage systems) or battery systems manufacturing Experience in modular construction or modular manufacturing Experience in steel and metal fabrication manufacturing environments Benefits What We Offer The opportunity to work with leading and fast-growing companies across the North American market. Highly competitive compensation for top talent. A stable, long-term position with strong growth opportunities and the chance to continue developing your career.

Location: Poland; Georgia; Serbia; Bulgaria We are looking for a Senior Full Stack Engineer who is comfortable working on high-load, distributed systems and making architectural decisions, not just implementing tasks. At MMDSmart, you will work on a CPaaS/CCaaS platform handling messaging and voice communication at scale. This is not a typical CRUD product: you’ll deal with real-time flows, external integrations, billing complexity, and systems where design mistakes surface quickly in production. You will be expected to take ownership from design to delivery and challenge assumptions when needed. Since 2007, MMDSmart has been a leading supplier in cloud-based business communications , delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions . These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated. Requirements What will you do at MMDSmart? Design and implement new platform capabilities across backend and frontend (not just “features” but system-level improvements); Contribute to architecture decisions in a microservices environment (Go-based services, event-driven patterns, APIs); Build and evolve React-based interfaces used by enterprise customers and internal teams; Work on integrations with external vendors (messaging providers, voice, billing systems); Investigate production issues in a high-scale environment and drive them to resolution—not just patch them; Participate in technical discussions, trade-off analysis, and system design reviews; Occasionally lead initiatives or own a domain end-to-end. You are a perfect match if you have: 4+ years of real production experience as a Full Stack Engineer; Strong backend expertise with Go (3+ years), not just syntax, but concurrency, performance, and system design; Solid frontend experience with React + TypeScript (2+ years); Experience building or maintaining distributed systems / microservices; Good understanding of data modeling (SQL + NoSQL) and when to use each; Ability to debug complex issues across services (not limited to your own code); Comfortable working in an environment where requirements evolve and not everything is predefined. Will be a plus: Experience with real-time systems, messaging, or telecom domains; Familiarity with event streaming (Kafka or similar); Experience with cloud platforms (GCP preferred); Exposure to billing systems or high-throughput APIs. What you get: Work on systems that actually operate at scale and have real business impact; A team where senior engineers are expected to influence architecture, not just execute; Remote work. Benefits Why do talents choose and stay at MMDSmart? Embrace the opportunity to work in a company that cares about: Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card*. Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts. Your Development: Benefit from free educational events & courses, and English classes with native speakers. Your Career: Focus on your professional development in a supportive environment. Work-Life Balance: Choose your working format - remote, office-based, or hybrid and engage in team-building activities. Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got! Equal-Opportunity Employment We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. *Medical Insurance and Sport Card perks are available for employees located in Bulgaria.

Задачи: — Разработка и оптимизация высокопроизводительных backend-систем для data-driven приложений. — Работа с современными технологиями потоковой обработки, распределёнными вычислительными фреймворками и облачными архитектурами для создания масштабируемых, надёжных и высокодоступных решений. Требования: — Проживание вне России и Беларуси. — Наличие степени бакалавра (требуется фото диплома при подаче заявки). — Опыт работы с Java и разработкой API и сервисов. — Опыт профессиональной работы со Scala не менее 2 лет. — Опыт работы с Akka, особенно для потоковой передачи данных или распределённых систем, не менее 2 лет. — Опыт работы с потоковыми/данными фреймворками, такими как Spark Streaming, Flink, Kafka, Kinesis или аналогичными. — Умение создавать и использовать RESTful API. — Опыт работы с AWS (serverless, compute, storage, data services) и знакомство с DevOps практиками (используется Azure DevOps). — Владение английским языком на уровне B2+. Условия: — Удалённая работа. — Контракт B2B на срок минимум 9 месяцев. — Полный рабочий день, 8 часов в день. — Ежедневное пересечение рабочего времени с 8:00 до 12:00 по Чикаго. — Отпуск без оплаты.

Задачи: — Разработка новой и доработка текущей функциональности — Проработка и реализация интеграционных решений — Добавление новых продуктовых и технических метрик — Решение технически сложных проблем по масштабированию высоконагруженного распределённого сервиса — Ревью кода — Взаимодействие с другими участниками команд для достижения необходимого результата — Проектирование архитектуры и разработка новых сервисов Требования: — Уверенные знания в построении микросервисной архитектуры на платформах, понимание плюсов и минусов такой архитектуры — Знания и опыт с Java 21+ (коллекции, stream, исключения, наследования и ООП) — Знание ООП и шаблонов проектирования — Умение организовывать сбор требований, техническое обсуждение, процесс разработки и внедрения решения — Опыт работы в команде, понимание принципов Agile — Опыт многопоточного программирования Условия: — Возможность инициировать и реализовывать свои идеи — Оформление по ТК РФ в штат компании в ИТ-аккредитованное юр. лицо — Бюджеты на обучения (внутренние и внешние - конференции) — Реферальная программа — Скидки у партнеров, ресторанов, детских учреждений, развлекательных площадок, обучающих программ и т.д. — Профессиональная команда и современные подходы — Индивидуальная программа мотивации по итогам выполненной работы — Гибкий график работы — Инфраструктура офиса

Location: Spain; Cyprus; United Kingdom; Poland; Estonia Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. About the Role Product decisions at Finom are made fast, and we want them made on evidence. You join the Growth & Activation product stream as its analyst, working with PMs and engineers on how new customers discover the product, start using it, and grow with it. There is no established way of doing product analytics here yet, so you define it: how experiments are designed, how metrics are named and counted, what a readout looks like. You come with your own approach rather than waiting for one to be handed to you. What you'll do Work with the product managers and other stakeholders in the stream. Agree priorities with them, and look for the problems worth solving instead of waiting for a request to arrive. Bring recommendations to the business, including opportunities it does not see on its own. Define the metrics for the stream: what activation means, what we expect from the funnel, how each number is counted, and how it stays consistent with the way the rest of the company counts the same things. Design the tests. Hypothesis, primary metric, audience split, duration, and how the result gets read once it lands. Automate that work, so running a test is routine and not a small project every time. Build the infrastructure for testing at scale, with external tools or our own, so a testing culture can spread across the product teams. What you bring Product analytics done end to end, with decisions that changed the roadmap behind it. Fluent in SQL, confident in Python, and solid on experimentation and causal methods/ You have chosen or built tooling for tests and metrics before. You use AI tools in your daily work, not occasionally. A partner to stakeholders rather than a person who executes tickets. Proactive, you bring the problems and the hypotheses yourself. You take an ambiguous problem, structure it, and explain your reasoning to product and business people. English at C1 or above Nice to have Product analytics built from scratch Experience where conversion volumes are low: B2B, long sales cycles, small samples. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Ready to level up your career? Join PlayStation as a Senior Software Engineer focused on Platform Data Reliability and Automation and help drive innovation at the forefront of interactive entertainment. You’ll be part of a world-class engineering team focused on building seamless, scalable experiences for millions of players around the globe. At PlayStation, we’re known not only for delivering exceptional gaming experiences but also for fostering a top-tier engineering environment centered on innovation, creativity, and technical excellence . We welcome passionate engineers who thrive on solving complex problems and are aligned with our vision of shaping the future of play. Role Overview: We are seeking a Senior Software Engineer (Platform Data Reliability & Automation) to play a critical role in building, automating, and operating scalable data platforms with a strong emphasis on Infrastructure as Code (IaC) and cloud technologies . This role focuses on the reliability and automation of NoSQL, Streaming, and Caching services across AWS and GCP environments. You’ll design robust automation frameworks, ensure high availability, and partner with product and platform teams to deliver resilient, highly available infrastructure supporting billions of transactions and millions of players globally. By embracing Development & DBRE principles , driving automation-first practices , and applying AI/ML where applicable , you’ll enhance system uptime, reduce manual toil, and enable velocity for engineering teams across PlayStation. You'll work closely with platform and product teams to ensure seamless integration and delivery of high-performance, scalable solutions across PlayStation's global ecosystem. Your contributions will directly support the reliability, scalability, and operational excellence of our data platform powering millions of players worldwide. Responsibilities: Design and implement Infrastructure as Code ( IaC ) and automate the provisioning, monitoring, scaling, and lifecycle management of NoSQL, Streaming, and Caching platforms (e.g., Cassandra, Aerospike, Kafka, Redis). Drive end-to-end automation to enable repeatable, reliable, and self-service deployment of data services across cloud and hybrid environments. Ensure high availability, scalability, and resiliency of the platform data solutions . Define and enforce SLIs, SLOs, and error margins for data platforms to drive reliability engineering practices. Build highly performant , self-healing systems, automated failover, and auto scaling solutions for databases and streaming platforms. Develop observability solutions (metrics, logging, tracing) for Cassandra, Aerospike, Redis, and Kafka/MSK to ensure proactive issue detection. Partner with engineering and platform teams to provide reliable , scalable , and performant data services. Lead incident response for critical database/caching/streaming issues and drive root cause analysis with permanent automated fixes. Explore and apply AI-driven approaches to automation (e.g., anomaly detection, predictive scaling, automated remediation) to enhance operational efficiency. Drive and implement best practices, procedures, operational playbooks to facilitate knowledge sharing and support continuous improvement across global teams Mentor junior engineers and influence best practices in automation, distributed systems, and database reliability . Skills and Qualifications: Bachelor's or Master's degree in Computer Science or a related field 6+ years of software development and DBRE experience, with at least 3+ years focused on Go and Infrastructure As Code with an emphasis on automation . Deep proficiency in Go (Golang) , with the ability to write performant, idiomatic, and maintainable code for production-scale systems Proven experience designing modular, domain-driven architectures in Go , supporting large and complex backend services Expertise with infrastructure-as-code tools such as Terraform, Ansible. Deep expertise operating large-scale NoSQL , caching and streaming platforms (Apache Kafka, Redis, AWS MSK, etc) including tuning, compaction strategies, repair operations, backup/recovery, and performance optimization. Solid understanding of Linux internals, networking, and storage systems . Experience building, deploying and operating stateful workloads on Kubernetes , including automation and lifecycle management of database and streaming platforms. Hands-on experience with AWS and/or GCP, including managed services such as MSK, DynamoDB, ElastiCache, or equivalent technologies. Strong problem-solving and analytical skills, with a passion for automation and distributed systems reliability . Excellent communication and collaboration skills, with experience mentoring and influencing peers across diverse teams Experience building internal developer platforms, self-service infrastructure, or platform engineering solutions that improve developer productivity and operational efficiency. Prior use of Go for infrastructure automation, control plane services, or SRE-focused tooling is a plus Experience leveraging AI/ML and Generative AI technologies to improve infrastructure automation, operational workflows, incident management, observability, or developer productivity is a huge plus. Certification in relevant technologies (e.g., AWS Certified Database - Specialty) is a plus At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $177,300 — $265,900 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.

Location: London; Athens; Belgrade; Zagreb; Berlin; Amsterdam; Helsinki; Stockholm; Oslo; Paris; Barcelona; Brussels Workplace: hybrid About the Role We are looking for a charismatic, commercially driven SMS Sales Manager to join our messaging business. This is a high-impact role combining deep A2P SMS trading expertise with building commercial traction for our emerging silent authentication product line. What You Will Do A2P SMS Trading & Revenue Growth •    Accelerate growth of the messaging services unit, taking full ownership of the SMS top and bottom line for your account portfolio •    Dynamically negotiate SMS commercial terms with aggregators, operators, and enterprise clients to maximise margin/volume. •    Work with Commercial Operations to evaluate providers, test routes, and identify top destinations. •    Source niche SMS providers to fill coverage gaps and improve delivery rates in key markets. •    Develop innovative trading models to secure sustainable revenue streams and competitive differentiation. •    Represent the company at industry events and conferences Silent Authentication & Mobile Identity As we build commercial traction for our silent authentication, this role will be pivotal in bridging our SMS relationships into the emerging network API space: •    Engage enterprise clients seeking to replace SMS OTP with SIM-based silent authentication. •    Leverage operator relationships to support MNO commercial discussions for TS.43 enablement. •    Articulate the value of silent authentication to both technical and commercial buyers. •    Identify cross-sell opportunities where SMS clients can supplement or migrate to silent auth. •    Feed market intelligence on pricing, buyer appetite, and competitor positioning to the product team. What we are looking for Essential •    Minimum 3 years in sales or trading within messaging or wholesale telecoms. •    Proven track record of hitting and exceeding revenue targets. •    Strong network across aggregators, MNOs, and enterprise messaging buyers. •    Deep commercial understanding of A2P SMS routing, pricing, and interconnect dynamics. •    Excellent negotiation skills; experience closing complex, multi-party deals. •    Strong written and spoken English; high proficiency in Excel and PowerPoint. Advantageous •    Familiarity with mobile identity, network APIs, or GSMA Open Gateway (Number Verify, SIM Swap, TS.43 silent authentication). •    A technical background or the ability to confidently speak the language of technology — understanding API integrations, authentication protocols, and network infrastructure well enough to engage credibly with technical buyers and internal product teams. About us:   IDT is a multinational provider of cloud communications, PoS systems, unified communications, and financial services for businesses and consumers, headquartered in New Jersey. We are listed on the NYSE, employ 1600 people across 20+ countries, and have revenues over $1.5 billion.    At IDT, we understand the challenge of being apart from those who matter most, so we create products that enable people to keep in touch and share resources worldwide.   We are not ”another big IT corporation” – we encourage and support any in-house entrepreneurs to develop their ideas into business action.   It seems like you are interested if you are here, so let’s chat!   PLEASE SUBMIT YOUR CV IN ENGLISH.

Location: Remote - US 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 Software Engineer, Email Platform (L3) About the job This position is a critical engineering role within Twilio SendGrid, requiring a hands-on engineer capable of developing, deploying, and managing highly available, massive-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L3 engineer, you will act as a key driver of execution within our core services. You will be heavily involved in modernizing our backend systems, optimizing our extensive Go-based microservices, and contributing to the design and reliability of our dual-cloud infrastructure span across Amazon Web Services (AWS) and Microsoft Azure. Responsibilities In this role, you’ll: WEAR THE CUSTOMER’S SHOES: Architect and ship reliable, high-velocity features that handle critical traffic with low end-to-end latency. Partner closely with product management and technical leadership to break down complex system requirements into manageable, iterative milestones. BE AN OWNER (CODE QUALITY): Drive rigorous code reviews and push for maintainable patterns in our Go codebase, ensuring high testing standards (unit, integration, and component testing) are executed across the team. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Manage and enhance cloud configurations across AWS and Azure environments utilizing Infrastructure as Code (Terraform). Ensure deep observability coverage by standardizing metrics, alerts, and distributed tracing across core data pipelines. CHAMPION ENGINEERING HEALTH: Advocate for a clean architectural foundation. Proactively identify technical debt, system bottlenecks, and single points of failure (SPOF), balancing feature delivery with critical platform refactoring. MENTOR AND LEAD: Foster a collaborative environment by mentoring junior engineers, leading technical sprint planning, and sharing expertise across distributed engineering nodes. 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: Experience: 4+ years of professional software engineering experience building and operating resilient backend services at scale. Modern Development Workflow: Practical experience leveraging AI-assisted development tools (such as Claude Code) to accelerate code generation, automate testing, and streamline debugging workflows. Language Proficiency: Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python . Cloud Infrastructure: Solid experience deploying and managing production workloads in cloud environments—ideally with deep exposure to AWS core services (such as EC2, S3, Aurora, or DynamoDB) AND Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, Azure SQL, or Cosmos DB). Infrastructure as Code: Proficiency with Terraform for provision-level automation and maintaining environment parity. Distributed Systems: Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing ecosystems). Systems Mindset: Strong foundational background in computer science fundamentals, data structures, and building self-healing cloud architectures. Desired: Prior experience managing high-throughput applications running inside containerized infrastructure ( Docker, Kubernetes ). Familiarity with database migration pathways (e.g., transitioning traditional on-prem/relational datastores to managed instances like AWS Aurora ). Experience implementing OpenTelemetry or distributed tracing systems across decoupled microservice platforms. Direct experience handling constraints related to network topology, proxy layers, or mail transfer agent (MTA) protocols. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. 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. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600 Based in the San Francisco Bay area, California: $163,100 - $203,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 7/28/2026, but may change based on business needs. 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.

adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually. The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference. The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs. Requirements: — 3+ years in DevOps, SRE, or Platform Engineering. — Experience designing and operating cloud infrastructure at scale. — Hands-on experience deploying and managing containerized applications in Kubernetes. — Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters. — Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda. — Infrastructure as code expertise with Terraform. — Knowledge of tradeoffs between managed AWS services and open-source alternatives. — Familiarity with microservice event-driven architecture, including topics, queues, and object storage. — Ability to support backend teams building high-performance Go services in distributed environments. — Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines. — Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools. Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team. Benefits: — Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects affecting 770 million users. — Fast-paced environment with multiple daily solution deployments. — Open problem solving and cross-team collaboration. — Diverse global team from over 40 countries. — Positive work culture celebrating wins and daily victories.

adjoe builds technologies behind mobile apps growth and monetization, leading in rewarded advertising with their product Playtime Arcade, connecting advertisers and publishers with over 770 million users annually. The Cloud Engineering team is responsible for the infrastructure supporting 5.5 billion daily ad requests, ensuring systems stay online, performant, and cost-efficient. They handle 400 million user events daily, traffic spikes of 150,000+ requests per second, and maintain a data lake for data scientists, BI, and real-time ML inference. The team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions infrastructure through Terraform. They prefer open-source alternatives over managed AWS services, using tools like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit to maintain a cloud-agnostic architecture. Cost efficiency is a key engineering constraint, including AI-based anomaly detection on infrastructure costs. Requirements: — 3+ years in DevOps, SRE, or Platform Engineering. — Experience designing and operating cloud infrastructure at scale. — Hands-on experience deploying and managing containerized applications in Kubernetes. — Experience with Kafka, Druid, Airflow, Spark, Terraform, and Gitlab on Kubernetes clusters. — Strong understanding of AWS services including EKS, DynamoDB, SNS, SQS, IAM, Lambda. — Infrastructure as code expertise with Terraform. — Knowledge of tradeoffs between managed AWS services and open-source alternatives. — Familiarity with microservice event-driven architecture, including topics, queues, and object storage. — Ability to support backend teams building high-performance Go services in distributed environments. — Experience building reliable, fast, predictable, and low-maintenance CI/CD pipelines. — Comfortable migrating workloads to self-hosted solutions and introducing new infrastructure tools. Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team. Benefits: — Work on impactful infrastructure reaching hundreds of millions of users and powering billions of decisions daily. — Ownership of projects affecting 770 million users. — Fast-paced environment with multiple daily solution deployments. — Open problem solving and cross-team collaboration. — Diverse global team from over 40 countries. — Positive work culture celebrating wins and daily victories.

Инновационная AI-платформа анализа геополитических и рыночных данных в реальном времени, обрабатывающая информацию из более чем 2000 первоисточников на разных языках (китайский, арабский, русский и др.). О роли: Мы ищем опытного Senior Java-разработчика, который возглавит масштабирование и оптимизацию нашего ядра агрегации данных. Вам предстоит проектировать высоконагруженные пайплайны, которые в реальном времени собирают миллионы текстовых данных, отправляют их на обработку нашим AI-моделям трансляции и анализа сентимента, а затем мгновенно доставляют инсайты клиентам. Основные задачи: • Проектирование архитектуры: Разработка масштабируемых, отказоустойчивых бэкенд-сервисов на Java; • Потоковая обработка данных (Stream Processing): Оптимизация систем сбора новостей и рыночных метрик в реальном времени; • Интеграция с AI/ML: Разработка эффективных API-прослоек для интеграции Java-сервисов с внутренними языковыми моделями (LLM) и инструментами NLP (перевод, извлечение сущностей, анализ тональности); • Оптимизация производительности: Поиск «узких мест» (bottlenecks), оптимизация работы с базами данных, снижение задержек (low-latency processing). Наш технологический стек: • Язык: Java 17+ (Spring Boot / Spring Cloud); • Big Data & Streaming: Apache Kafka / Pulsar, Apache Flink / Spark Streaming; • Базы данных: NoSQL (Elasticsearch/OpenSearch для мультиязычного поиска, MongoDB), SQL (PostgreSQL), Кэширование (Redis); • Инфраструктура: AWS (EC2, S3, EKS), Docker, Kubernetes, CI/CD pipelines. Что мы ждем от кандидата: • Опыт: От 5-6 лет коммерческой разработки коммерческого ПО на Java; • Highload: Уверенные знания concurrency, многопоточности и проектирования систем распределенных вычислений; • Работа с данными: Глубокое понимание принципов работы очередей сообщений (Kafka) и поисковых движков (Elasticsearch); • Язык: Английский язык на уровне Upper-Intermediate (B2) и выше для ежедневной коммуникации с распределенной международной командой; • Плюсом будет: Опыт работы в FinTech / RegTech проектах, парсинге веб-ресурсов или интеграции ML-моделей в продакшн (MLOps). Что мы предлагаем: • Гибкость: Полностью удаленный формат работы из любой точки мира; • Технологически сложный продукт: Работа на стыке Big Data, AI и глобальной рыночной аналитики; • Влияние на продукт: Минимум бюрократии, плоская структура и возможность напрямую влиять на архитектурные решения; • Профессиональный рост: Оплата профильного обучения, курсов и участия в международных конференциях; • Пакет: Конкурентная заработная плата (по результатам технического интервью) + опционы компании (Equity) для ключевых сотрудников.

Location: Paris, France; Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE ALAN INSURANCE GRADUATE PROGRAM ⭐️ The Alan Insurance Graduate Program is a unique opportunity to enter the team at the core of Alan Insurance business without getting silo-ed on a precise role. The Insurance team focuses on innovating on our health and disability insurance products, over 5 geographies including France, Belgium, Spain and Canada. Through the Program, you will develop a very precious blend of technical, business, entrepreneurial and product skills. After a 2-months onboarding, you may be involved in multiple missions in different streams of the Insurance team: - The Enterprise and Public Sector stream structures the best offers for our largest clients, whether a ministry or a corporate. They land on our most important deals (RFP - request for proposal) with our Sales team, contributing to business growth in a very visible way.  - The insurance product stream dive into the lifecycle of a contract, from pricing and product implementation to the renewal phase. They team up with Engineer, Data and Marketing teams to ensure a delightful experience to our customers, whether when signing on our website, better equip Sales with the best offers or undergoing the renewal campaign (offer updates from one year to another).  - The analytics and repricing stream focus on building metrics, tools, and dynamic models to monitor our portfolio, forecast our margin and price our portfolio. They push strategic decision making (like repricing) alongside the Data, Strategy and Finance teams. - The reinsurance and risk stream owns the Capital requirement model, the risk governance, the relationship with our Supervisor (ACPR) and the reinsurance coverage.  Each program and mission will be co-built with you, to make the most of your growth plan and ensure you have impact and visibility from day 1 at Alan.  All along your Graduate Program, you will also benefit from a personalized support from the team through coaching. This will ensure that you are never alone on a topic and that you grow fast, while still being in the driver’s seat.  At Alan, we are at the forefront of the latest innovations in artificial intelligence. You will be expected to leverage every piece of technology at your disposal to contribute to scaling our tooling and processes. ⭐️ IS IT YOU WE’RE LOOKING FOR? ⭐️ You would be a good fit if you: - Have a first experience in actuarial/insurance, finance, strategy, data, quantitative or product topics. - Have a scientific background (statistics, engineering, actuarial science)  - Are excited about growing in a fast-paced environment on multidisciplinary topics involving technical, data, regulatory, product and business questions related to health and prévoyance insurance - Are comfortable with SQL or willing to learn - Are analytical and structured, with a fact-based decision-making style - Are enthusiastic about teamwork, curious, learning, and teaching - Are willing to deeply change the insurance industry and challenge the status quo - Have strong written communication skills - Are fluent in both French and English (Alan’s working language) 🌍 HOW WE WORK - Location: You must be legally eligible to work from France. - Remote work: We offer remote work flexibility, but we value in-person collaboration   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Задачи: — Разработка и развитие backend-сервисов на Go; — Проектирование микросервисной архитектуры; — Реализация event-driven взаимодействия между сервисами (Pub/Sub, очереди); — Работа с WebSocket-соединениями и real-time потоками данных; — Проектирование и реализация gRPC API; — Разработка логики финансовых расчётов (decimal-арифметика, точность, атомарность операций); — Обеспечение ACID-гарантий и атомарных транзакций; — Оптимизация производительности и снижение latency; — Работа с нагрузкой 1000+ TPS в пиковых значениях; — Проектирование схем баз данных и оптимизация запросов; — Участие в решении задач масштабирования и отказоустойчивости; — Написание unit и integration тестов; — Участие в code review и технических обсуждениях. Требования: — 5+ лет коммерческой backend-разработки (из них 3+ лет конкретно на Go); — Глубокое понимание concurrency в Go (goroutines, channels, context); — Понимание принципов микросервисной архитектуры; — Опыт построения event-driven систем; — Опыт работы с очередями и брокерами сообщений; — Уверенная работа с MySQL (индексы, транзакции, оптимизация); — Понимание финансовой арифметики (decimal, точность вычислений, отсутствие float-ошибок); — Опыт работы с Redis; — Понимание принципов построения low-latency систем; — Опыт работы с Docker и Git; — Уверенная работа в Linux-окружении. Будет плюсом: — Опыт работы в доменах: CEX, DEX, Market making, Fintech, Payments; — Опыт работы с высоконагруженными системами (1000+ TPS); — Опыт построения real-time систем (WebSocket, streaming); — Опыт работы с gRPC; — Понимание circuit breaker, retry-политик, backoff-стратегий; — Опыт внедрения мониторинга (Prometheus, Grafana); — Понимание принципов горизонтального масштабирования; — Опыт работы с Kubernetes. Условия: — Полностью удалённый формат работы из любой точки мира; — Участие в разработке сложного высоконагруженного продуктового решения; — Реальная инженерная свобода и прямое влияние на архитектуру; — Комфортные варианты выплат в USD / USDT / RUB.

Location: Tallinn, Estonia Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (Applied AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . What to expect from our recruitment process: Interview with HR Assessment task Interview with hiring managers Final interview with top management Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Senior AI/ML Engineer (AI Lead) to join our rapidly expanding team. The ideal candidate will be a highly hands-on and business-oriented professional, capable of designing and delivering production-grade AI systems that drive measurable business impact. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Senior AI/ML Engineer (AI Lead) will have the chance to: • Design, develop, and productionise machine learning models end-to-end (training, validation, deployment, monitoring, retraining), ensuring reliability in real-world environments. • Lead the development of AI use cases such as client lifetime value (CLV), churn prediction, and fraud/abuse detection, with clear alignment to business outcomes and measurable impact. • Build and establish robust MLOps practices, including model deployment pipelines, CI/CD, environment promotion (dev/stage/prod), and lifecycle management. • Implement model monitoring frameworks to track performance, data drift, data quality, and business impact, with clear retraining and escalation strategies. • Ensure model explainability and transparency using techniques such as SHAP, feature attribution, and other interpretability methods appropriate for business-critical and regulated contexts. • Define and enforce best practices around model governance, documentation, versioning, and auditability, proportional to model risk and business impact. • Collaborate closely with Data Engineering to ensure high-quality data pipelines, feature engineering, reproducibility, and scalable data foundations. • Work cross-functionally with Product, Risk, Commercial, and other stakeholders to translate business problems into pragmatic AI solutions, balancing speed and robustness. • Drive continuous improvement through feedback loops, monitoring insights, and model retraining strategies, rather than one-off model delivery. • Mentor team members and promote best practices in production AI, MLOps, and applied machine learning delivery. What do you need to succeed in this role? • 5–8+ years of experience building and deploying machine learning models in production environments (not just experimentation). • Strong Python programming skills and solid software engineering fundamentals (testing, code quality, modular design, maintainability). • Strong understanding of machine learning concepts, model evaluation, feature engineering, and practical considerations in production systems (e.g. data leakage, drift, stability). • Hands-on experience with large-scale data processing (Spark / PySpark). • Experience with ML lifecycle tools (MLflow or similar) for experiment tracking, model management, and reproducibility. • Experience building and maintaining CI/CD pipelines (GitHub Actions preferred) for ML or data workflows. • Strong SQL skills and experience working with large, complex datasets in real-world environments. • Proven ability to deliver AI/ML solutions with measurable business impact, not just model performance improvements. • Experience working with model deployment, monitoring, drift detection, and retraining strategies in production systems. • Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders, translating trade-offs clearly. • Ability to operate effectively in environments with evolving requirements, imperfect data, and delivery pressure, balancing MVP speed with production robustness. The below are considered as a plus: • Experience in fintech, trading, or financial services environments, particularly where models influence business-critical decisions. • Experience with real-time or streaming ML systems. • Familiarity with modern AI approaches such as LLMs, embeddings, or retrieval-augmented generation (RAG), particularly where applied to business workflows or integrated with structured data. • Experience working in regulated environments and implementing model governance frameworks (e.g. auditability, explainability, approvals, documentation standards). • Experience contributing to team standards, mentoring, or leading applied AI delivery. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “ Employee Training & Development program”. Medical Insurance Cover , which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits . Collaboration with SportBenefit. What to expect from our recruitment process: First interview with hiring managers or an HR call Task Assessment Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Munich, Germany; Berlin, Germany What client look for: You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions. You ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases. You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact. You develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance. You take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement. You leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems. You develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment. You actively contribute to the evolution of our data strategy, tooling, and best practices within Client. Requirements What the client requires: You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field. You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation. You have hands-on experience in building and managing ETL/ELT pipelines and data workflows. You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP). You are familiar with containerization and workflow orchestration tools such as Docker and Airflow. You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups. You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis). You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks. You ensure data quality, observability, and monitoring as integral parts of your solutions. You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients. You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work. You have strong communication and presentation skills, and can explain complex topics clearly. You speak English fluently; regional languages are an advantage. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ROLE OVERVIEW You'll own and evolve the AI systems behind ClickUp's voice platform: real-time streaming transcription, intelligent reformatting, context-aware mention detection, and voice-to-action pipelines. This is a high-impact, hands-on role where you'll push the boundaries of what voice interfaces can do inside a productivity tool used by millions.   KEY RESPONSIBILITIES - Design, build, and optimize real-time speech-to-text pipelines (streaming ASR, VAD, audio processing) - Improve transcription accuracy through context injection (user names, teams, custom vocabulary, language detection) - Develop and maintain LLM-powered post-processing (grammar correction, filler removal, mention resolution, formatting) - Build voice-to-action systems that parse natural language into structured workspace commands - Evaluate, benchmark, and integrate ASR models (Whisper, AssemblyAI, Fireworks, etc.) for cost, latency, and accuracy - Collaborate with product and platform teams to ship voice features across MAX Desktop, Mobile, Web, and Browser Extension - Explore multimodal AI capabilities (screen + voice + text) for next-gen assistant experiences Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.