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Location: APJ About the Role ClickHouse is launching a strategic Postgres initiative to extend our developer-first cloud platform, so teams can easily integrate Postgres with ClickHouse and power end-to-end data workflows. We’re looking for a Senior Software Engineer to join the team building this platform. You’ll work across a range of areas — from control plane services and automation to operational tooling and developer experience. This is a flexible, full-stack systems role for an engineer who thrives in environments where boundaries are fluid, problems are complex, and impact is tangible. WHAT YOU’LL DO - Design and build backend services that orchestrate and manage database clusters in ClickHouse Cloud. - Extend our platform control plane — written in Ruby, Go, and TypeScript — to support new Postgres capabilities. - Contribute to PostgreSQL extensions and data plane agents, written in C, C++ or Rust - Contribute to automation and tooling that simplify cluster provisioning, scaling, and lifecycle management. - Collaborate with infrastructure, SRE, and product teams to ensure operational excellence, performance, and reliability. - Develop APIs and integrations that expose new Postgres functionality to customers and internal systems. - Improve observability, deployment safety, and debugging workflows for database services. - Participate in design discussions, code reviews, and on-call rotations, contributing to the overall reliability and velocity of the team. - Operate with autonomy — identifying opportunities, driving execution, and delivering meaningful impact. ABOUT YOU - Experience: 6+ years in software engineering, ideally with experience building or operating database or cloud platform systems. - Postgres Expertise: Deep understanding of Postgres — configuration, extensions, operations, and performance tuning. - Technical Skills: - Strong programming experience in one or several of Ruby, Go, Rust, C or Python (and willingness to work across languages). - Familiarity with cloud infrastructure, APIs, and automation tools (Terraform, Kubernetes, CI/CD). - Understanding of distributed systems, data replication, and service orchestration patterns. - Mindset: Pragmatic, detail-oriented, and comfortable with both greenfield development and operational ownership. - Flexibility: Happy to contribute where needed — from backend APIs and platform automation to Postgres internals and debugging. - Collaboration: Strong communicator who works effectively across teams in a fast-paced, cross-functional environment. - Ownership: You operate with a founder’s mindset — take initiative, move quickly, and care deeply about outcomes. WHY JOIN US - Be part of a strategic new offering that expands the scope and impact of ClickHouse Cloud. - Work with cutting-edge database and infrastructure technologies at scale. - Operate with high autonomy in a small, focused team that values deep expertise and collaboration. - Shape foundational systems for reliability, automation, and developer experience in managed database.   #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: APJ About the Role ClickHouse is launching a strategic Postgres initiative to extend our developer-first cloud platform, so teams can easily integrate Postgres with ClickHouse and power end-to-end data workflows. We’re looking for a Senior Software Engineer to join the team building this platform. You’ll work across a range of areas — from control plane services and automation to operational tooling and developer experience. This is a flexible, full-stack systems role for an engineer who thrives in environments where boundaries are fluid, problems are complex, and impact is tangible. WHAT YOU’LL DO - Design and build backend services that orchestrate and manage database clusters in ClickHouse Cloud. - Extend our platform control plane — written in Ruby, Go, and TypeScript — to support new Postgres capabilities. - Contribute to PostgreSQL extensions and data plane agents, written in C, C++ or Rust - Contribute to automation and tooling that simplify cluster provisioning, scaling, and lifecycle management. - Collaborate with infrastructure, SRE, and product teams to ensure operational excellence, performance, and reliability. - Develop APIs and integrations that expose new Postgres functionality to customers and internal systems. - Improve observability, deployment safety, and debugging workflows for database services. - Participate in design discussions, code reviews, and on-call rotations, contributing to the overall reliability and velocity of the team. - Operate with autonomy — identifying opportunities, driving execution, and delivering meaningful impact. ABOUT YOU - Experience: 6+ years in software engineering, ideally with experience building or operating database or cloud platform systems. - Postgres Expertise: Deep understanding of Postgres — configuration, extensions, operations, and performance tuning. - Technical Skills: - Strong programming experience in one or several of Ruby, Go, Rust, C or Python (and willingness to work across languages). - Familiarity with cloud infrastructure, APIs, and automation tools (Terraform, Kubernetes, CI/CD). - Understanding of distributed systems, data replication, and service orchestration patterns. - Mindset: Pragmatic, detail-oriented, and comfortable with both greenfield development and operational ownership. - Flexibility: Happy to contribute where needed — from backend APIs and platform automation to Postgres internals and debugging. - Collaboration: Strong communicator who works effectively across teams in a fast-paced, cross-functional environment. - Ownership: You operate with a founder’s mindset — take initiative, move quickly, and care deeply about outcomes. WHY JOIN US - Be part of a strategic new offering that expands the scope and impact of ClickHouse Cloud. - Work with cutting-edge database and infrastructure technologies at scale. - Operate with high autonomy in a small, focused team that values deep expertise and collaboration. - Shape foundational systems for reliability, automation, and developer experience in managed database.   #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Building Infrastructure behind 5.5 Billion Daily Ad Requests The Cloud Engineering team is the core of our tech unit, the underlying infrastructure that every other team depends on to ship software and grow the business. Behind rewarded ad experience, the partner-facing dashboards, the ML pipelines, and the ad delivery systems serving millions of users daily, there is one team making sure it all stays online, performant, and cost-efficient. 400 million user events daily, traffic spikes of 150,000+ requests per second, and a data lake that feeds data scientists, BIs, and real-time ML inference across the entire ad stack. To handle this reliably and cost-efficiently, the team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions everything through Terraform. Rather than defaulting to managed AWS services, the team actively replaces them with open-source alternatives like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit as part of a deliberate move toward cloud-agnostic architecture. Cost efficiency is treated as an engineering constraint, not an afterthought, including AI-based anomaly detection on infrastructure costs. Your Mission & Who We Are Looking For: - 3+ years in DevOps, SRE, or Platform Engineering. You've designed and operated cloud infrastructure at scale, with hands-on experience deploying and managing containerized applications in Kubernetes. At adjoe, you'll be working across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers. - Deep in the AWS ecosystem. You have a strong understanding of AWS services (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and manage infrastructure as code through Terraform. You know the tradeoffs between managed AWS services and open-source alternatives, and have opinions about when each makes sense. - Microservice event-driven architecture is your daily context. You understand how microservices communicate: topics, queues, object storage, and can support backend teams building high-performance Go services across distributed environments. - Reliable CI/CD is a product requirement. You build pipelines that are fast, predictable, and low-maintenance, ensuring smooth delivery without becoming a bottleneck. - Hands-on with emerging infrastructure. You're comfortable migrating existing workloads to self-hosted solutions as well as introducing new tools boost business results. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is our programmatic in-app advertising platform that seamlessly connects advertisers and publishers through direct integration of our Android and iOS SDKs. Every ad decision happens in under 200ms across 10 million daily users, powered by real-time bidding algorithms and user quality prediction models that match the right ad to the right user at the right moment. 50 Billion Daily Bid Predictions The adjoe Ads Data Science team owns the entire bidding algorithm that decides which ad you are most likely to enjoy from start to finish: conversion prediction, user quality estimation, and bid shading. Every bid adjoe placed in an ad auction is the output of ML models making 50 billion predictions daily, trained on data from our mobile SDKs that capture real user behavior at scale. The team moves fast: new ideas tested offline, A/B tests launched in production within minutes. We rely on industry-proven state of the art technology, adapted to our needs and self-hosted where it matters: PyTorch and TensorFlow for modeling, Trino and Athena for querying a 350TB Iceberg data lake, Airflow and Ray for orchestrating our different training pipelines across multiple GPU clusters. Models are built on 600+ features and trained on 200 million data points, with the full ML lifecycle owned by the team from research and experimentation to deployment and real-time inference at sub-200ms latency. Your Mission & Who We Are Looking For: - 5+ years in Data Science, 2+ in leadership. You have a track record of architecting and deploying ML solutions, recommender systems and neural networks specifically, and have led data science teams through hiring, mentoring, regular 1-1s, and career development. At adjoe Ads, you'll be growing and managing the team of Data Scientists, Data & ML Engineers, Data Analysts that owns the entire bidding algorithm. - At least 50% hands-on. This is not a purely managerial role. You work on data science tasks yourself, own critical procedures like experiments and implementation details, and mentor data scientists in advanced modeling, programming quality, and strategic thinking. - Fluent in data at scale. You've worked with large, diverse data sources AWS Athena, Kafka, Spark, Flink, S3, MySQL and know how to extract signals from a 350TB data lake. Strong Python required; experience building an MLOps stack with Airflow, Spark, or Flink is a strong plus. - Bridges math and business. You can dive deep into mathematical foundations and translate complex model behavior into clear decisions for product and business stakeholders. You align with the adjoe Ads product team and Cloud Infrastructure on priorities, tools, and best practices. - Contributes to the roadmap, not just the backlog. You work on long-term strategy and quarterly OKRs, contributing to adjoe Ads' position as a strong competitor in the programmatic adtech market. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Hamburg Workplace: Hybrid adjoe https://adjoe.io/ is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its’ app partners’ business to the next level. Part of the applike group https://applike-group.com/ ecosystem, adjoe is home to an advanced tech stack https://adjoe.io/company/adtech-stack/, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with. Meet Your Team: Fraud Operations Our Fraud Operations team tackles one of adtech's biggest challenges: fraud. As a specialized operational force within Anti-Fraud, we actively investigate, reproduce, and mitigate abuse to prevent fraud from impacting our partners' business. At the core of our day-to-day work is rapid exploit analysis and telemetry forensics across Android and iOS platforms, dissecting device manipulation, hooking frameworks, and emulator-driven abuse. Partnering closely with core SDK and Backend teams, we query billions of daily events across our distributed data stores (Trino, ScyllaDB, DynamoDB) to isolate suspicious traffic anomalies in real time, translate complex attack vectors into actionable detection heuristics, and deploy pragmatic mitigations directly across our Go-based services. This means working hands-on with cutting-edge tech and adversarial forensics to continuously outsmart even the most creative tactics. Your Mission & Who We Are Looking For: - AdTech & Anti-Cheat Domain Expertise: You understand the mechanics of digital advertising (attribution, publisher monetization, traffic quality) or bring experience from adjacent anti-abuse environments like gaming anti-cheat. You will act as the escalation point for BI, Product, and Support, translating complex abuse patterns into concrete technical solutions. - Reverse Engineering & Exploit Analysis: You have an adversarial security mindset. While our core SDK team develops production client libraries, you understand iOS and Android internals well enough to decompile binaries, understand and use hooking of APIs and work with frameworks to root/jailbreak devices (e.g., Magisk, Xposed, KernelSU, Dopamine), and reproduce emulator- or bot-driven exploits in a sandbox environment to find the root cause. - Large-Scale Telemetry & Data Forensics: You can query and analyze billions of daily events across distributed databases (Trino SQL, DynamoDB, ScyllaDB). Using data analysis tools and LLM-assisted workflows, you quickly isolate anomalous clusters, model suspicious traffic patterns, and turn raw telemetry into actionable detection heuristics. - Distributed Systems Observability & Profiling: You are comfortable working with high-throughput event pipelines. Leveraging Grafana, Kibana, and distributed tracing, you monitor system health, diagnose bottlenecks across Kafka and SQS queues, and verify that detection APIs maintain low-latency response times under heavy load. - Technical Leadership & Team Enablement: You will serve as the technical lead for our new Fraud Operations unit within the Anti-Fraud Solutions team. Partnering with the Product Lead, you will drive technical strategy, conduct meaningful code and architecture reviews, and mentor engineers. We value clear communication and pragmatic decision-making over years of formal management hierarchy. - Pragmatic Engineering & Rapid Mitigation: You are a hands-on engineer who can read, debug, and review Go microservices without needing to be a Go purist. Working alongside Backend, Mobile, and Data Science teams, you will prototype detection logic, deploy verified mitigation rules, and automate responses to emerging attack vectors. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.   - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Oklahoma, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Data Center Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will include supporting the data center’s IT infrastructure by troubleshooting and resolving hardware issues, performing hardware and network diagnostics, carrying out physical repairs, and ensuring the smooth operation of critical systems. This is a shift-based role and may also require occasional travel between data center locations. You will work onsite in our Oklahoma data center location. Your responsibilities will include: Diagnosing and resolving issues related to IT hardware and ensuring the continuous support of the data center's IT infrastructure across all compute, storage, and networking platforms. Collaborating effectively with internal teams and external contractors to address technical and operational challenges across the data center floor. Installing, upgrading, and decommissioning hardware based on operational requests, change requests, and project requirements. Managing and maintaining the connectivity of fiber optic cables, copper patch cords, and structured cabling in accordance with Nebius standards and documentation. Planning, executing, and monitoring regular IT tasks — including preventive maintenance, break/fix activities, and routine deployments — to maintain and improve data center infrastructure operations. Supporting the Return Merchandise Authorization (RMA) process by assisting with hardware identification, fault documentation, and coordination with the DC Diagnostic & RMA team, in accordance with established Nebius procedures. Developing and maintaining clear, accurate documentation including hardware configurations, troubleshooting guides, maintenance logs, and operational runbooks. Collaborating with cross-functional stakeholders including shift leads, infrastructure engineers, and DC management to ensure work is completed to standard and on schedule. Participating in shift-level technical tasks and project execution as directed by the Senior DC Technician or Lead DC Technician. Monitoring and reporting on the status of assigned work items, incidents, and hardware tasks through Nebius ticketing and operational systems. We expect you to have: Hands-on experience diagnosing and resolving server hardware issues in a production or enterprise data center environment. A solid understanding of data center operations, server architecture, and network equipment principles. Basic proficiency in the Linux operating system and familiarity with command-line tools for system identification, log review, and basic diagnostics. Practical experience working with server IT hardware, enterprise-grade network switches, and fiber optic cabling. Proficiency with standard documentation and productivity tools including spreadsheets, with the ability to maintain logs, records, and operational reports. A proactive, responsible, and quality-focused approach to work with a strong commitment to safety and process adherence. Core Physical Requirements: Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. It will be an added bonus if you have: Valid Driving License Project planning skills Compensation We offer competitive hourly rates, ranging from $30.00 – $42.00 per hour based on your experience. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

TrafficStars — международная AdTech-компания с highload-инфраструктурой: 10+ млрд рекламных показов в день, 1M+ RPS в пиковые часы, 500+ серверов в Европе и США, ClickHouse cluster на 3.6 PB данных. Ищем Senior Python Developer в API vertical — команда занимается корпоративными API, интеграциями с внешними сервисами и системами управления стоимостью рекламы. Что важно: — сильный Python (internals, AsyncIO, typing, profiling) — уверенный FastAPI — опыт highload сервисов (10k+ RPS) — PostgreSQL / ClickHouse — хороший SQL — Kafka / RabbitMQ — понимание архитектуры и production engineering Будет плюсом: - опыт в AdTech / FinTech - понимание Go - Linux/networking troubleshooting Что предстоит: • разрабатывать и развивать Python-сервисы • оптимизировать производительность • участвовать в архитектурных решениях • работать с highload и legacy production-системами • code review и поддержка качества кода Что предлагаем: - зарплата выше рынка - полная релокация на Кипр - визовая поддержка для семьи - жильё на первый месяц - MacBook или PC на выбор - медстраховка - спорт, английский, обеды и снеки - сильная инженерная команда без бюрократии

Location: Kyiv Workplace: onsite Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe. We are looking for a DevOps Team Lead to join our Platform Team and help us scale, secure, and improve our cloud infrastructure. This role combines hands-on technical ownership with team leadership: you will guide DevOps engineers, define platform priorities, improve reliability, and collaborate closely with product and engineering teams. The System Division develops the Ajax software ecosystem — including OS Malevich, the Video Management System, cloud infrastructure, and client applications. The team ensures the stable operation of all system components as a unified digital platform. Requirements: 5+ years of experience in DevOps, Platform Engineering, SRE, or Cloud Engineering, including 2+ years in a lead or senior ownership role. Strong hands-on experience with Kubernetes, preferably AWS EKS, including cluster operations, networking, autoscaling, workload reliability, and security best practices.Solid AWS experience: VPC, IAM, EC2, RDS, ElastiCache, Route 53, Lambda, Load Balancers, CloudFront/S3 etc. Experience with Infrastructure as Code and configuration management tools, especially Terraform/Terragrunt. Experience with GitOps-based delivery using Argo CD or Flux, and Helm/Kustomize for Kubernetes application management. Strong Linux and TCP/IP networking knowledge, including troubleshooting production systems. Experience with secrets management, access control, and credential rotation practices. Strong observability background: metrics, logs, alerts, SLOs, incident investigation, and tools such as Datadog, Grafana, VictoriaMetrics, ELK, or Opsgenie. Ability to lead technical discussions, explain trade-offs, set priorities, and drive decisions across engineering teams.Strong communication, ownership, task management, and mentoring skills. Desirable: Experience with advanced Kubernetes tooling: Karpenter, KEDA, Envoy, Istio/Linkerd or similar. Experience with streaming platforms such as NATS or Kafka. Operational experience with databases such as MongoDB, MySQL, PostgreSQL, or managed cloud database services. Experience with compliance frameworks such as SOC 2.Background in FinOps, cloud cost optimization, and infrastructure efficiency improvements. Experience with disaster recovery planning, backup strategies, incident response, or production fire drills. Responsibilities: Lead, mentor, and grow the DevOps/Platform team: set technical priorities, support hiring, provide feedback, and foster a culture of ownership and engineering excellence. Own and evolve the Kubernetes platform: cluster architecture, deployment standards, autoscaling, reliability, security practices, and developer experience. Improve CI/CD and GitOps workflows to make deployments safer, more repeatable, and easier for engineering teams. Collaborate with engineering, product, security, and operations teams to align infrastructure improvements with business and product needs. Identify and remove bottlenecks in the software delivery lifecycle, platform operations, and production support processes. Strengthen platform security: access management, secrets management, network controls, compliance requirements, and secure-by-default practices. Build and improve proactive observability: monitoring, alerting, dashboards, incident response processes, and post-incident improvements. Drive cloud cost optimization initiatives and provide practical recommendations for more efficient infrastructure usage. Participate in production support and on-call processes for critical incidents, while continuously improving reliability and reducing operational toil. We offer: The opportunity to suggest and implement your own ideas that directly influence the product and its mass production; A place in a fast-growing company with a motivated and professional team; Competitive salary; Medical insurance; Corporate English classes; The opportunity to participate in Ajax’s internal beta-testing program for security systems; Discounts from partner companies; Discounts on Ajax products. Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Product Analyst San Mateo, CA; Los Angeles, CA; or San Diego, CA (Collab) Sony Interactive Entertainment LLC is seeking an Analyst, Product Analytics in California to join our team and contribute to the exciting future of the PlayStation platform. This role involves close collaboration with product feature teams and data partners to ensure effective data utilization and measurement methodologies for data-driven insights and decision-making. The Analyst will oversee end-to-end product analytics projects, including data exploration, KPI design, target setting, measurement planning, and impact assessment. Responsibilities Work closely with product feature teams to understand their roadmap and translate initiative goals into data KPIs, targets, and measurement plans. Extract and integrate data from various sources to support analytical efforts, coordinating with data product, engineering, data science, and other analytics teams as needed. Lead A/B test experiments, validate test data, monitor progress, perform post-test analysis, and provide recommendations for feature release decisions, collaborating with the experimentation platform team as necessary. Convert business questions into data analytics tasks, conduct thorough analyses to segment and explore data, identify key drivers, and generate actionable insights to inform business decisions. Collaborate with data scientists on research and innovation, applying standardized processes and enhancing analytics methodologies as they become available. Contribute to the development and use of digital tools, reporting visualization, and analytical storytelling. Work with the reporting team to define and create automated and self-serve dashboards, providing relevant information efficiently to optimize business operations and track key initiatives. Qualifications Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field, with 3+ years of relevant professional experience in data analysis. A related Master’s Degree is a plus. Experience working with product, business, or other partner teams, including conducting experiments and supporting optimization efforts such as A/B testing, holdout groups, and multivariate analysis is a must. Familiarity with quasi-experimental causal inference methodologies is a plus. Relevant experience in data analysis with advanced SQL, Python/ R skills is required; Experience with user journey tools (e.g., Adobe Analytics) and standard BI tools (e.g., MicroStrategy, Tableau, Domo) is highly preferred. Strong understanding of statistical concepts (e.g., confidence intervals, hypothesis testing) and analytic modeling techniques (e.g., multivariate/linear regression, k-means clustering) is preferred. Excellent written and verbal communication skills, with experience presenting analytical results to non-technical partners. 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. $152,100 — $228,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is building next-generation AI infrastructure at scale. We are looking for a Field Technical Lead to drive on-site execution of new data center deployments, leading technical teams and contractors while ensuring high-quality, on-time delivery. This position requires frequent travel to data centers during key deployment phases & candidates should be located in Israel to be considered. Your responsibilities will include: Technically lead on-site deployment of GPU-based compute clusters, storage systems, and high-speed networking in data centers. Support Project Managers in planning, coordinating, and tracking project delivery activities. Organize and supervise contractors, vendors, and internal technical teams to ensure smooth execution of deployment workstreams. Proactively identify, troubleshoot, and resolve technical and operational issues during deployments. Maintain clear and accurate project documentation, including deployment plans, risk logs, issue trackers, and acceptance reports. Ensure transparent communication with all stakeholders by providing regular status updates, escalating blockers, and managing expectations. Collaborate closely with cross-functional teams including engineering, networking, operations, and supply chain. Participate in related project activities such as automation initiatives, process improvements, and post-deployment support when required. We expect you to have: Proactive, ownership-driven leader with the ability to anticipate issues, drive decisions on-site, and lead teams through complex deployments. Proven hands-on experience with data center infrastructure deployments, ideally in high-performance computing or AI-focused environments. Strong understanding of data center operations including racking, structured cabling, power planning, and cooling considerations. Technical knowledge of GPU servers, compute nodes, storage platforms, and high-speed networking technologies. Experience working within project delivery frameworks, collaborating closely with Project Managers, and managing subcontractors or vendors. Excellent problem-solving skills with the ability to troubleshoot and resolve issues in on-site, time-critical environments. Strong communication skills in English, both written and verbal. Ability to document processes, maintain tracking systems, and produce clear, structured deployment and status reports. It will be an added bonus if you have: Understanding of construction projects structure and key risk factors in facility build-outs. Knowledge of HPC Experience in business processes design or automation tools development. PMP, PRINCE2, or similar industry certifications. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Flexible working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Lappeenranta, Finland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. New data center development: We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. The role As an IT Datacenter Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations. Please note that this is a shift work (day & night shift). Your responsibilities will include: Monitor and support the IT infrastructure to ensure optimal performance and uptime. Diagnose and resolve issues related to server and network hardware within the data center. Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements. Manage and maintain fiber optic and patch cable connectivity. Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation. Collaborate with internal teams to resolve technical and operational issues. Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance. We expect you to have: Solid understanding of server and networking equipment. Practical, hands-on experience with server hardware, network switches, and fiber optic cabling. Proven ability to diagnose and resolve hardware-related issues. A proactive, responsible, and results-driven work attitude. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Lappeenranta, Finland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are looking for a IT Support Manager in our data center, the key person in managing IT infrastructure maintenance. You will manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters. This role is focused on ensuring stable, efficient, and scalable operations through people leadership, structured support processes, and hands-on technical oversight. You will own day-to-day IT support operations, oversee maintenance and incident resolution for GPU clusters, and ensure high service levels across hardware, network, and field support activities. You will act as a key escalation point, drive operational improvements, and align support execution with broader data center objectives. Your responsibilities will include Lead and manage L1, L2, IT infrastructure and Field Network Engineers supporting data center IT infrastructure and GPU clusters and region IX colocations. Ensure high availability and reliability of GPU clusters and IT infrastructure Act as the primary escalation point for complex hardware, network, and operational incidents Monitor and drive SLA, KPI, and incident resolution performance across IT support services Oversee proactive maintenance, troubleshooting, and problem management activities Collaborate with infrastructure engineers, vendors, and colocation partners to resolve issues and deliver improvements Maintain and improve support processes, documentation, and team training materials Manage IT asset lifecycle activities, relates to responsibility area, including RMAs We Expect You to Have 3+ years of experience managing technical support teams in a data center or similar critical infrastructure environment. Strong hands-on background in diagnosing and resolving server hardware issues, including GPU-based systems, fiber networks. Solid understanding of data center operations, server platforms, and enterprise networking principles. Practical experience with IT service management processes (ITIL / ITSM). Basic proficiency with Linux/Unix operating systems and command-line tools. Proven ability to manage operational KPIs, incidents, and escalations. Analytical skills Proactive mindset, strong sense of ownership, and the ability to lead teams in high-pressure environments. High proficiency in spoken and written English. It will be an added bonus of you have: Relevant certifications and trainings Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York; San Francisco; Canada; United States; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: - Design, build, and operate the distributed storage system that feeds model training and evaluation. - Run this system multiple on Kubernetes clusters at petabyte scale. - Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements - Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: - Strong storage fundamentals, including replication, consistency, caching, and data lifecycle management. - Strong coding ability. We work in Python and Go; experience in either is enough, but you should be willing to pick up the other - Experience running stateful systems on Kubernetes, including Persistent Volumes, CSI drivers, and StatefulSets. - Hands-on experience with cloud object storage such as S3 as well as POSIX-style filesystems. It’s a bonus if you have: - Experience with parallel or HPC filesystems such as Weka, VAST, or Lustre. - Familiarity with the data-loading and checkpointing patterns used in large-scale model training. - An interest in how large models are trained and evaluated, including the trajectory and eval data those runs generate, and a desire to understand the workloads the platform is serving. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York; Ohio; Rhode Island; New Jersey; Delaware; Maine; Maryland; Vermont; North Carolina; Florida; Massachusetts; South Carolina; Virginia; Connecticut; Georgia; Pennsylvania; New Hampshire Workplace: Remote The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. As a Senior Infrastructure Engineer in the Investigations group, you'll be a technical leader on the Government Systems team — the group responsible for the deployment platform and operational infrastructure that delivers Chainalysis Reactor to government and high-security customers. The mission of the Government Systems team is to ensure that Chainalysis's most security-sensitive customers can run Reactor reliably in their own environments — including networks with strict access controls and limited connectivity. Government Systems sits at the intersection of infrastructure operations and product delivery. Product teams own their application code, but rely on Government Systems to provision environments, manage release pipelines, and operate the deployment platform. As a senior engineer you will be the connective tissue between these groups — setting technical direction, resolving cross-cutting issues, and ensuring the platform evolves to meet growing demands. Note: This position requires eligibility to access U.S. Government information and systems. Due to applicable government security requirements, only U.S. citizens are eligible for this role. Due to collaboration with Europe, we are highly prioritizing candidates based in EST timezone. In this role, you'll: - Lead the design and evolution of RKE2 Kubernetes clusters across development, acceptance, and production environments — driving upgrades, capacity planning, networking strategy, and operational resilience - Architect and maintain infrastructure as code (Terraform) to provision and manage AWS-based environments, establishing patterns and modules that the team can scale with confidence - Own the CI/CD platform (GitHub Actions) end-to-end — designing pipeline architecture, improving build performance, and ensuring releases flow reliably through staged environments - Drive GitOps-based delivery strategy using Flux CD, defining standards for Helm charts and Kustomize overlays and ensuring consistent reconciliation across clusters - Define container image lifecycle policies — building, signing, storing, and distributing images across OCI registries for multiple deployment targets - Identify and eliminate operational toil through automation, improving environment provisioning, configuration management, and deployment processes at a systemic level - Establish and maintain monitoring, alerting, and incident response practices — owning dashboards, runbooks, and post-incident reviews that raise platform reliability over time - Serve as a technical point of contact for product service teams integrating into the deployment pipeline — unblocking teams, troubleshooting complex environment issues, and advocating for infrastructure best practices - Own the security posture of the deployment platform — managing secrets, certificates, RBAC policies, and security configurations to meet compliance and operational security requirements - Mentor and grow other engineers on the team through code review, pairing, design discussions, and knowledge sharing We're looking for candidates who have: - Deep experience operating Kubernetes in production at scale — cluster lifecycle management, Helm, networking, persistent storage, performance tuning, and complex workload troubleshooting - Expert-level proficiency with Terraform for provisioning and managing cloud infrastructure across multiple environments, including module design and state management strategies - Strong Linux systems administration skills (RHEL or similar — networking, storage, systemd, performance analysis, shell scripting) - Extensive experience designing and maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar), with a focus on reliability, speed, and developer experience - Deep familiarity with AWS services commonly used in infrastructure (EC2, S3, VPC, IAM, EBS, Lambda, and related networking and security services) - A strong operational mindset — you take ownership of reliability, think about failure modes proactively, and build automation to prevent recurring issues before they impact customers Nice to have experience: - Experience with GitOps tools such as Flux CD or ArgoCD in complex, multi-environment setups — including designing promotion strategies and managing drift - Familiarity with container registry operations, image distribution, OCI artifact management, and image signing or verification workflows - Experience managing databases in Kubernetes environments (e.g., PostgreSQL operators, stateful workloads, backup and recovery strategies) - Familiarity with Kafka or other message brokers in a containerized environment, including operational management and scaling - Experience with configuration management or automation tools (Ansible or similar) at fleet scale - Advanced scripting proficiency in Python for infrastructure automation, tooling, and integration work - Experience supporting environments with strict security or compliance requirements (FedRAMP, FIPS, IL environments, or similar) - Exposure to or passion for the cryptocurrency technology ecosystem Technologies we use: - Kubernetes: RKE2, Helm, Kustomize, Flux CD - Cloud provider: AWS (EC2, S3, EBS, VPC, IAM, Lambda) - Infrastructure as code: Terraform - CI/CD: GitHub Actions, semantic-release - Monitoring and alerting: Prometheus, Grafana, Datadog, Humio - Scripting and automation: Shell, Python - Container registries: OCI/Docker - Database management: PostgreSQL - Event streaming: Kafka - Operating systems: RHEL, Rocky Linux, Amazon Linux AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Amsterdam, Netherlands; Remote - Europe; Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimisation and next-generation hardware development. Your responsibilities will include: Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level. Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm). Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks. Perform acceptance testing acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads. Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability. Develop tools and dashboards to visualise performance metrics visualise performance metrics, bottlenecks, and trends. Contribute to internal tooling, frameworks, and best practices We expect you to have: A profound understanding of theoretical foundations of machine learning Deep understanding of performance aspects of large neural networks training and inference (data/tensor/context/expert parallelism, offloading, custom kernels, hardware features, attention optimisations, dynamic batching etc.) Deep experience with modern deep learning frameworks (PyTorch, JAX, Megatron-LM, Tensort-LLM) Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries Familiarity with containerized environments (e.g., Docker, Kubernetes). Strong communication and ability to work independently Ways to stand out from the crowd: Familiarity with modern LLM inference frameworks (vLLM, SGLang, TensorRT) Experience in Python and performance profiling tools (e.g., Nsight, nvprof, perf). Familiarity with cloud ML platforms like AWS, GCP, Azure ML Contributions to open-source ML benchmarking tools Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: The Americas; Costa Rica; Tampa; Charlotte; Nashville; Brazil; Atlanta; Colombia; Philadelphia; Pittsburgh; Canada; Mexico Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. THE ROLE  Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within -3 / - 8 UTC (Americas) as you will be supporting the Americas region. We are seeking a passionate and results-driven Customer Success Manager to join our dynamic team. As a Customer Success Manager (CSM), you will play a pivotal role in managing relationships with our diverse customer base, ensuring their success and satisfaction with our platform and services. This position offers an exciting opportunity to work in a fast-paced environment, collaborate cross-functionally, and make a significant impact on the customer experience. Our Customer Success POD is a dynamic and tightly-knit group committed to crafting a seamless customer journey. As a member of this team, you will be part of a collaborative environment where ideas flourish, and each team member's input is cherished. We foster a culture of continuous learning and growth, encouraging every team member to contribute their unique skills and perspectives to our shared goals. By joining our Customer Success POD, you'll become part of a supportive community that thrives on innovation, excellence, and a steadfast commitment to customer satisfaction. KEY RESPONSIBILITIES - Proactively manage and nurture relationships with a portfolio of customers, ensuring high engagement and satisfaction levels. - Responsible for addressing and managing customers' health cases assigned to them. - Respond to customer inquiries and requests within the Success scope, providing timely and effective solutions. - Conduct enablement sessions, product demos, and escalation calls with customers to drive adoption and address challenges. - Manage customer escalations and collaborate cross-functionally to resolve issues and ensure customer satisfaction. - Utilize data-driven insights to understand customer needs and preferences, advocating for their interests within the organization. - Identify opportunities for improvement and scalability in customer success processes, contributing ideas and solutions to enhance customer health. - Lead and participate in cross-functional projects aimed at improving customer engagement and satisfaction. - Act as the primary point of contact for internal teams, addressing and prioritizing requests from Sales, Support, and other departments. - Collaborate with the  Sales team to ensure customer retention, particularly in churn-risk situations. - Collaborate with Treasury on payment collection for late-paying customers - Work closely with Product, Sales, Support, and Marketing teams to ensure customers receive comprehensive support and maximize the value of our platform. - Stay abreast of product updates and industry trends, continuously enhancing your skills and knowledge to better serve our customers. REQUIREMENTS - Minimum of 2 years of experience in a Customer Success, Account Manager or quota-carrying role, preferably in a SaaS or technology company. - Proven track record of managing multiple customer relationships and driving customer success initiatives. - Ability to effectively manage customer expectations and any conflicts should they arise. - Exceptional communication skills, both verbal and written. - Strong interpersonal skills with the ability to build rapport and trust with customers. - Analytical mindset with the ability to leverage data to drive insights and decision-making. - Cross-functional collaboration skills with experience working across departments to achieve common goals. - Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities. - Strong organizational skills and attention to detail. - Passion for customer advocacy and commitment to delivering exceptional service. - Willingness to continuously learn and upskill to keep pace with product advancements and industry trends. - Proficiency in Zendesk, Asana, Notion, and Slack is a bonus. ATTRIBUTES THAT ARE NOT REQUIRED (BUT ARE A BONUS) - Experience in the HR industry and employment practices spanning multiple countries YOU'LL ALSO NEED - A reliable home internet connection (or be able to get one) - Proficiency in both written and spoken English language is required HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: United States, Los Angeles, 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. SIE Studio IT is seeking a Lead Systems Engineer to lead the design, operation, and evolution of our production infrastructure and data center platforms. This role provides technical direction for the Systems Administration team and serves as the senior engineering authority for Linux systems, enterprise server hardware, virtualization, storage, and high-availability infrastructure. Responsibilities Lead the design, deployment, and operational support of Linux and Windows platforms in a production environment. Architect and support enterprise server hardware, including platform selection, RAID configuration, firmware lifecycle management, hardware diagnostics, and performance troubleshooting. Lead the design, deployment, and operation of enterprise and distributed storage platforms, including technologies such as Ceph, NFS-based NAS, and SAN architectures. Design and maintain high‑availability and load‑balanced systems, including clustered servers. Define and own the monitoring, alerting, and observability strategy for infrastructure platforms including storage, virtualization, servers, and operating systems. Partner with vendors and internal teams on hardware selection and lifecycle planning. Establish technical standards, patterns, and documentation that can be executed by the Systems Administration team. Review designs, changes, and implementations performed by Systems Administrators to ensure quality, consistency, and reliability. Act as the technical lead during infrastructure incidents, driving restoration efforts and post-incident review actions. Ensure infrastructure designs align with security standards and requirements. Requirements Bachelor’s degree or equivalent. Strong Linux and Windows administration and engineering experience in enterprise or production environments. Strong hands-on experience with enterprise server hardware, including troubleshooting, lifecycle planning, and firmware management. Strong experience with enterprise storage and distributed storage systems; Ceph experience strongly preferred. Strong experience architecting and administering Windows and Linux server platforms in enterprise or production environments. Strong understanding of how storage, compute, and virtualization interact in performance‑sensitive production environments. Strong scripting and automation skills, preferably Python and/or PowerShell. Proficiency with Active Directory, DNS, and DHCP; Infoblox experience is a plus. Experience designing or overseeing monitoring, alerting, and observability solutions, including dashboarding platforms such as Grafana or equivalent tools. Ability to lead and mentor Systems Administrators. 5+ years of relevant enterprise IT experience in a senior or lead infrastructure role. Available to work varying hours, on-call shifts, including evenings, weekends, and holidays as required. 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. $155,900 — $233,900 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.