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Location: Minsk; Warsaw; Tbilisi; Chișinău Workplace: hybrid We are looking for a Senior/Lead Java Software Engineer to join our team! You will work with engineering teams across Europe and the USA on one of our flagship products – Net2Phone Cloud Contact Center, a rapidly growing cloud communications platform serving businesses worldwide. At this position you will: Take responsibility for the full software development lifecycle, from understanding business requirements through coding, deployment, and maintenance. Collaborate with business stakeholders and actively participate in product planning and sprint backlog meetings. Work on high-performing, scalable, resilient web-based applications and services. Develop and maintain technical design, architecture, and troubleshooting documentation. Demonstrate a technology-agnostic mindset and continuously explore new technologies and approaches. We want you to have: 5+ years of production experience with Java. Strong hands-on experience with Java and Spring Framework (Spring Boot, Spring Data). Strong experience with microservices architecture. Experience with CI/CD tools such as GitHub Actions, Jenkins, ArgoCD, and Maven. Proficiency with relational databases, particularly MySQL , including schema design, migrations, and query optimization. Good English level – B2 or higher. It would be a nice bonus: Experience with Google Cloud Platform (GCP). Experience with MongoDB. Experience with infrastructure-as-code and cloud provisioning tools such as CDKTF or AWS CDK. We offer you: Remote work as a B2B contractor or hybrid full-time employment in Belarus and Moldova. Really good hardware. An exciting and challenging job with talented people around. Great learning and growth opportunities. Compensation for professional training, seminars, and conferences. First-class English lessons. Additional benefits and perks for Minsk and Chisinau office employees. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.  We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. Net2Phone is a rapidly growing global provider of unified cloud communications solutions. It solves the problem of cost optimization for businesses in more than 50 countries, providing them with high-quality VoIP services. Net2Phone provides businesses with an integrated communications suite featuring powerful collaboration tools such as voice, messaging, chat, and unlimited domestic and international calling to 23+ countries.  The product was named ‘VoIP Supplier of the Year’ by the Telecom Consulting Group in 2018.

Location: United States; United Kingdom; Canada; Germany; Australia; Singapore Job Type: Full-time Location: Remote Work Schedule: Overlap with UK, US, or Canada business hours About Huzzle At Huzzle, we connect elite global talent with high-growth companies across the UK, United States, Canada, Europe, and Australia. Our clients include venture-backed startups, SaaS platforms, AI companies, FinTech businesses, and enterprise technology firms scaling modern cloud infrastructure globally. Unlike traditional outsourcing agencies, professionals hired through Huzzle work directly with international companies as long-term in-house team members, contributing to mission-critical engineering initiatives. Job Summary We are hiring an experienced Senior DevOps Engineer to support fast-growing international companies building scalable cloud-native platforms and enterprise infrastructure. This role is ideal for engineers with deep expertise in Kubernetes, CI/CD automation, cloud infrastructure, and platform reliability who enjoy working in high-performance remote engineering teams serving North American and UK markets. You will help architect infrastructure, improve deployment velocity, optimize reliability, and support highly available production environments across modern SaaS and cloud platforms. Key Responsibilities Design and manage scalable, secure, and highly available cloud infrastructure. Build and optimize CI/CD pipelines for reliable software delivery. Manage Kubernetes environments and container orchestration systems. Implement Infrastructure-as-Code solutions using Terraform or similar tools. Improve platform observability, monitoring, and incident response processes. Collaborate with engineering teams on release automation and deployment workflows. Troubleshoot production infrastructure and application performance issues. Support cloud security, compliance, backup, and disaster recovery initiatives. Contribute to platform scalability, reliability, and cost optimization efforts. Mentor junior engineers and promote DevOps best practices across teams. Requirements 5+ years of experience in DevOps, Cloud Engineering, SRE, or Infrastructure Engineering roles. Strong experience with Linux systems and cloud environments. Hands-on experience with Docker, Kubernetes, and CI/CD tools. Experience with Terraform, GitHub Actions, Jenkins, GitLab CI/CD, or similar platforms. Familiarity with AWS, Azure, or Google Cloud Platform. Knowledge of monitoring and observability tools such as Prometheus, Grafana, Datadog, or ELK Stack. Scripting or programming experience using Python, Bash, Go, or JavaScript. Strong troubleshooting and problem-solving skills. Excellent communication and collaboration abilities. Nice to Have Experience with ArgoCD and GitOps workflows. Knowledge of networking, security, and distributed systems. Cloud certifications (AWS, Azure, Kubernetes, Terraform). Experience supporting SaaS or enterprise applications. Open-source contributions or technical blogging experience. Benefits 💰 Competitive salary based on experience and technical expertise. 🌍 Fully remote role with international opportunities. 🚀 Work with modern cloud-native technologies and high-growth companies. 📈 Long-term career growth opportunities in DevOps and platform engineering. 🛠 Exposure to enterprise-scale infrastructure and automation projects. 🤝 Collaborative engineering culture with flexible remote work environment.

Location: Poland; Romania; Bulgaria; Georgia; Serbia; Ukraine Job Type: Full-time Location: Remote Work Schedule: Flexible Hours with overlap for UK/UAE/US teams About Huzzle At Huzzle, we connect exceptional global talent with leading companies across the UK, US, Europe, Canada, and the Middle East. Our clients range from fast-growing startups to enterprise technology companies operating in SaaS, AI, FinTech, cybersecurity, and cloud infrastructure. Unlike traditional outsourcing agencies, professionals hired through Huzzle work directly with international clients as long-term, in-house team members contributing to mission-critical projects and infrastructure. Job Summary We are seeking an experienced Senior DevOps Engineer to lead infrastructure automation, cloud platform reliability, and deployment scalability initiatives for international technology companies. This role is ideal for someone with deep expertise in Kubernetes, cloud infrastructure, CI/CD automation, and platform engineering who thrives in fast-paced engineering environments and enjoys solving complex infrastructure challenges at scale. You will collaborate closely with software engineers, security teams, and product stakeholders to improve deployment workflows, optimize infrastructure performance, and maintain highly available cloud-native systems. Key Responsibilities Architect, implement, and maintain scalable cloud infrastructure environments. Design and optimize CI/CD pipelines for high-frequency deployments. Manage Kubernetes clusters and container orchestration environments. Build Infrastructure-as-Code solutions using Terraform and automation best practices. Improve platform reliability, scalability, and system observability. Monitor production systems using Prometheus, Grafana, ELK Stack, or similar tools. Implement security, backup, and disaster recovery best practices. Troubleshoot infrastructure, networking, and deployment issues across environments. Collaborate with engineering teams on release management and platform optimization. Mentor junior engineers and contribute to DevOps best practices across the organization. Requirements 5+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure roles. Strong hands-on experience with Kubernetes, Docker, Linux, and cloud-native technologies. Experience with AWS, Azure, or Google Cloud Platform. Strong expertise in Terraform and Infrastructure-as-Code methodologies. Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or ArgoCD. Strong scripting or programming experience using Python, Go, Bash, or JavaScript. Knowledge of networking, security, distributed systems, and cloud architecture principles. Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or ELK Stack. Excellent communication skills and ability to work independently in remote environments. Nice to Have Experience with GitOps workflows and ArgoCD. Exposure to AI infrastructure or large-scale distributed systems. Experience supporting enterprise SaaS platforms. Certifications in AWS, Azure, Kubernetes, or Terraform. Open-source contributions or technical blogging experience. Benefits Competitive salary based on experience and technical expertise. Fully remote opportunity with global engineering teams. Work on modern cloud-native infrastructure and large-scale systems. Long-term career progression opportunities into Lead or Principal Engineering roles. Access to cutting-edge DevOps, Kubernetes, and automation technologies. Collaborative engineering culture with high-impact technical ownership. Flexible work environment focused on autonomy and performance.

Location: South Africa; Philippines; Egypt; India; Pakistan; Vietnam Job Type: Full-time Location: Remote Work Schedule: Flexible or Overlapping US/UK Hours About Huzzle At Huzzle, we connect elite global talent with high-growth companies across SaaS, FinTech, AI, MarTech, and enterprise technology industries. Our clients are scaling rapidly and looking for experienced technical professionals who can make an immediate impact. Job Summary We are seeking an experienced Senior DevOps Engineer to lead cloud infrastructure initiatives, improve deployment automation, and support highly available production systems. This role is ideal for engineers who enjoy solving complex infrastructure challenges, implementing DevOps best practices, and driving platform scalability. You will work cross-functionally with software engineers, security teams, and product stakeholders to build reliable, secure, and scalable infrastructure environments. Key Responsibilities Architect and manage scalable cloud infrastructure environments. Lead CI/CD automation and deployment optimization initiatives. Implement Kubernetes orchestration and container management solutions. Develop Infrastructure-as-Code solutions using Terraform or similar tools. Improve observability, monitoring, and incident response workflows. Support system security, scalability, and disaster recovery planning. Mentor junior engineers and contribute to DevOps best practices. Collaborate with cross-functional teams on infrastructure and release planning. Requirements 4+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. Deep expertise in Kubernetes, Docker, Linux, and cloud-native technologies. Strong experience with AWS, Azure, or GCP environments. Hands-on experience with Terraform, GitHub Actions, Jenkins, or ArgoCD. Knowledge of networking, security, and distributed systems. Strong scripting or programming skills using Python, Go, or Bash. Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack. Excellent communication and leadership skills. Benefits 💰 Highly competitive compensation package. 🌍 Fully remote or hybrid flexibility. 🚀 Opportunity to work on enterprise-scale cloud infrastructure. 📈 Career progression into Lead DevOps or Platform Engineering roles. 🛠 Access to cutting-edge DevOps and cloud technologies. 🤝 Collaborative global engineering teams and modern development culture.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who You Are You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process. What You’ll Do - Collaborate closely with our engineering team to help them be more productive by improving development tools. - Maintain a strong connection to the product and remain comfortable engaging in direct feature development - You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant. - Research, implement, and develop tools to help developers write new code. - Ensure the CI/CD infrastructure and process is reliable and consistent. What we’re looking for - Solid background in Linux. - Experience in CI/CD stack development and maintenance. - Working proficiency with Ruby, Javascript or Python. - Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.). - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Experience with containerization (Docker, Kubernetes, etc). What we’d be particularly excited about - Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright. - Familiarity with databases like MongoDB and/or ClickHouse. - Experience with build systems like Webpack, Gradle, etc. - Proficiency with the CI tools like Jenkins, TeamCity, etc. What you’ll learn: - You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools. - You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Задачи: — Работа над мобильным многопользовательским шутером WELTKRIEG 1: Firestorm Требования по DevOps: — уверенное пользование Linux на уровне администратора — опыт решения инцидентов и поиска уязвимостей — знания модели OSI и понимание работы сетевого трафика — опыт работы с сервисами на уровне TCP/UDP приветствуется — уверенные знания Docker и Docker Compose — понимание работы Kubernetes (k3s, k8s, k0s и др.), опыт работы приветствуется — опыт работы с облачными провайдерами (Google Cloud, AWS, Yandex Cloud, Timeweb, Selectel и др.) — опыт работы с CI/CD: GitHub Workflows, GitLab CI/CD, Jenkins — умение работать с консольным Git Требования по Unity: — крепкое понимание Unity — хорошие знания C# — опыт сборки Unity-проектов под серверные окружения — опыт работы с Unity Dedicated Server / headless builds — опыт работы с сетевым решением Mirror — понимание особенностей multiplayer разработки — умение разбираться в логах, профилировать проблемы и находить причины нестабильной работы — умение писать поддерживаемый, понятный и тестируемый код Требования по Backend: — опыт разработки backend сервисов на C# / ASP.NET Core — понимание REST API и принципов проектирования API — опыт работы с PostgreSQL, MySQL или другими реляционными базами данных — понимание авторизации и аутентификации: JWT, OAuth, session-based auth или аналоги Будет большим плюсом: — опыт оптимизации серверной нагрузки — опыт защиты игровых серверов от злоупотреблений, DDoS, читов или нестандартного поведения клиентов Условия: — формат: полная занятость — локация: удалённо — работа над действующим мобильным multiplayer-проектом — возможность влиять на технические решения и развитие инфраструктуры проекта

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We are responsible for the overall health, performance, and scaling of server equipment and networks in our data centers all around the world. 20+ global sites across the USA, Europe, and Asia 1500+ servers and storage systems 250+ network equipment units Responsibilities Hardware Operations: Perform upgrades, repairs, and maintenance on company server equipment in data centers (both remotely via “remote hands” support and through on-site business trips) Logistics & Procurement: Manage the procurement and global logistics of necessary components and spare parts for servers and network equipment Vendor Management: Act as the point of contact for colocation data centers and network service providers Asset Management: Perform hardware discovery, track inventory, and maintain accurate equipment data in our configuration database (DCIM/CMDB) Security Compliance: Ensure all hardware and data center operations comply with the company’s security policies Lifecycle Management: Manage and deploy firmware updates across all server infrastructure Capacity Planning: Monitor and optimize the efficient usage of leased services, power consumption, and overall capacity Provisioning: Implement and maintain Zero Touch Provisioning (ZTP) services Automation: Write and maintain scripts to automate equipment configuration and inventory processes System Administration: Administer and maintain equipment management and configuration systems What makes you the perfect fit Hands-on experience working with server hardware and data center environments Practical experience using DCIM/CMDB systems. Solid understanding of networking technologies (equivalent to CCNA level). Strong experience administering and configuring Linux server environments Proficiency in automation and scripting (Bash, Python). Technical English (ability to read documentation, communicate with global vendors, and write technical reports). Will be a plus Experience with Dell servers and administration of Dell OpenManage Enterprise Familiarity with DevOps tools and practices (Git, Ansible, Jenkins, Docker, etc.) Experience managing block storage systems, FC network Fluent or advanced English What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Petten, Netherlands; Pondicherry, India; Aachen, Germany; Abidjan, Côte d'Ivoire; Abu Dhabi, United Arab Emirates; Ahmedabad, India; Berat, Albania; Alexandria, Egypt; Algiers, Algeria; Alkmaar, Netherlands; Almaty, Kazakhstan; Amersfoort, Netherlands; Amman, Jordan; Amsterdam, Netherlands; Antalya, Türkiye; Astana, Kazakhstan; Asunción, Paraguay; Athens, Greece; Atlanta, United States; Augsburg, Germany; Austin, United States; Aya Napa, Cyprus; Bad Homburg, Germany; Baden-Baden, Germany; Baku, Azerbaijan; Bangkok, Thailand; Barcelona, Spain; Batumi, Georgia; Belgrade, Serbia; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Birmingham, United Kingdom; Bishkek, Kyrgyzstan; Boca Raton, United States; Bolzano, Italy; Bordeaux, France; Boston, United States; Bramsche, Germany; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bryanston, South Africa; Bucharest, Romania; Bucuresti, Romania; Budapest, Hungary; Buenos Aires, Argentina; Cairo, Egypt; Cape Town, South Africa; Cebu City, Philippines; Chemnitz, Germany; Chicago, United States; Santiago, Chile; Beijing, China; Chișinău, Moldova, Republic of; Bogota, Colombia; Colombo, Sri Lanka; Columbus, United States; Copenhagen, Denmark; Costa Rica; Havana, Cuba; Dakar, Senegal; Dallas, United States; Dammam, Saudi Arabia; Darmstadt, Germany; Davao City, Philippines; Delhi, India; Detroit, United States; Mirpur, Bangladesh; Djibouti; Dnipro, Ukraine; Douala, Cameroon; Dresden, Germany; Dubai, United Arab Emirates; Dublin, Ireland; Dusseldorf, Germany; Düsseldorf, Germany; Guayaquil, Ecuador; Emmen, Switzerland; London, United Kingdom; Erevan, Armenia; Essen, Germany; Fatorda, India; Helsinki, Finland; Florida City, United States; Frankfurt, Germany; Freiburg, Germany; Gatineau, Canada; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Grenoble, France; Guadalajara, Mexico; Guatemala Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Continuous Integration & Verification Infrastructure Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to work in a highly technical and innovative environment, this could be the perfect fit for you. Key Responsibilities Set up a Continuous Integration flow Automate and maintain regression test infrastructure Optimize the use of resources available (Computing, licenses...) Collaborate with the Design Verification and infrastructure team. Strong experience with scripting and automation using Python, Bash, or similar scripting languages. Hands-on experience with Git and modern Continuous Integration tools and methodologies. Proven experience optimizing system resources, including compute environments, licensing systems, and infrastructure utilization. Solid understanding of Linux-based environments and development workflows. Strong analytical, troubleshooting, and problem-solving skills. Ability to work effectively in a collaborative, cross-functional engineering environment. Excellent communication skills and a proactive mindset. Nice to Have Experience with Design Verification environments and methodologies. Knowledge of semiconductor, ASIC, FPGA, or hardware verification workflows. Experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar platforms. Familiarity with containerization technologies such as Docker or Kubernetes.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing K8s cluster lifecycle management: Own the build, scaling, version upgrades, daily operations, fault diagnosis, and performance tuning of large-scale production Kubernetes clusters; ensure 7×24 high availability and stable operations; support continuous business iteration. Alibaba Cloud & AWS multi-cloud operations (core responsibility): Operate, govern, and optimize Alibaba Cloud and AWS resources across dual-cloud environments, covering container services, networking, storage, IAM, load balancing, databases, and object storage; manage configuration changes, cost optimization, and disaster recovery to achieve unified multi-cloud governance. Cloud-native architecture and optimization: Lead containerization and microservices operational rollout; optimize Pod scheduling, resource quotas, network policies, image management, and log monitoring systems; resolve cluster resource fragmentation, business adaptation, and network interoperability challenges. Stability and security: Build comprehensive K8s cluster monitoring, alerting, logging, and distributed tracing systems; define operations runbooks, change processes, and incident response plans; strengthen cluster security controls, disable high-risk permissions, harden container runtime environments, and ensure infrastructure and business data security. Automated operations and DevOps: Develop operations automation scripts using Shell/Python; integrate Jenkins, GitLab CI, and ArgoCD to build automated release, inspection, and backup systems; implement Infrastructure as Code (IaC) principles to improve efficiency and reduce human error. Incident management and post-mortem optimization: Lead online incident response, conduct root cause analysis, produce post-mortem reports, and continuously optimize cluster architecture, resource allocation, monitoring strategy, and long-term stability assurance mechanisms. Technical knowledge sharing and team empowerment: Track Cloud Native and public cloud technology developments; document operations best practices and technical specifications; assist the team in improving multi-cloud K8s operations capabilities. What We Look For In You Bachelor's degree or above in a computer-related field; 4+ years of hands-on experience operating production-level Kubernetes clusters; proficient in K8s core principles and components including Pod, Deployment, StatefulSet, Service, Ingress, CRD, controllers, scheduling strategies, network models, and storage mounting; able to independently resolve complex cluster failures and performance bottlenecks. Proficient in Alibaba Cloud and AWS dual-cloud operations, with independent experience in dual-cloud production environments: Alibaba Cloud: proficient in ACK Container Service, ECS, SLB, VPC, RAM, RDS, OSS, CloudMonitor, security groups, and snapshot backups. AWS: proficient in EKS, EC2, S3, VPC, IAM, TGW, load balancing, CloudWatch, and security policies; practical experience in overseas cloud deployment, operations, and disaster recovery. Proficient in Linux system administration; familiar with system optimization, permission control, process management, log analysis, and online troubleshooting. Familiar with mainstream container runtimes (containerd/Docker); understand K8s networking (CNI plugins such as Calico/Flannel), storage (CSI), and multi-cluster management; familiar with Istio/Envoy service mesh, east-west traffic governance, gray-scale releases, and network interoperability. Strong Shell and Python automation skills; experienced with CI/CD pipelines (Jenkins, GitLab CI, ArgoCD); familiar with IaC tools (Terraform, Ansible, Helm); experienced with observability stacks (Prometheus, Grafana, ELK/EFK, Jaeger, SkyWalking). Preferred: experience in large-scale public cloud environments (100+ nodes); multi-cloud cost optimization; K8s security hardening (OPA/Gatekeeper, Pod Security Standards, Falco); Kubernetes CKA/CKS certification; experience with AI/LLM workload scheduling (GPU scheduling, distributed training). Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 JOB SUMMARY   We are looking for a GTM DevOps Engineer to join our Business Systems team and own the reliability, automation, and delivery infrastructure behind our Go-To-Market (GTM) technology stack. This role sits at the intersection of platform reliability and CI/CD engineering, ensuring that our critical business systems — including Salesforce, NetSuite, MuleSoft, Workato, and an expanding portfolio of AI-powered workloads — are deployed consistently, operate resiliently, and scale with the business.   You will partner closely with Business Systems developers, architects, and business stakeholders to build and maintain the pipelines, monitoring frameworks, and operational standards that keep our GTM systems healthy and our release cycles fast and predictable. As our team builds and deploys AI agents across GCP Cloud Run and AWS Bedrock AgentCore, you will serve as the infrastructure and deployment owner for these workloads — bringing engineering discipline to an environment where AI-generated code is increasingly entering production. This is a hands-on engineering role for someone who thrives in complexity, takes ownership of platform uptime, and brings a software engineering mindset to business application operations — directly supporting GTMSOE's broader mission of operational excellence across the GTM org.   KEY RESPONSIBILITIES   CI/CD & RELEASE ENGINEERING   - Design, build, and maintain CI/CD pipelines for Salesforce (SFDX/Salesforce CLI), NetSuite (SuiteScript/SuiteBundler), MuleSoft (Anypoint Platform), and Workato; establish branching strategies, environment promotion standards, and release gating processes across all GTM platforms. - Extend CI/CD practices to cover AI agent workloads deployed on GCP Cloud Run and AWS Bedrock AgentCore — including containerized builds, deployment pipelines, and automated validation gates. - Implement safe rollout patterns — including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures — to reduce deployment risk on business-critical changes.   PLATFORM RELIABILITY & OBSERVABILITY   - Own SLA/SLO definitions for core GTM systems; standardize monitoring, alerting, and runbook patterns across quote-to-cash and GTM integrations, with proactive health checks and synthetic monitoring for critical flows (e.g., Salesforce ↔ NetSuite, Workato). - Extend observability coverage to GCP Cloud Run workloads — Cloud Scheduler jobs, agent pipelines, and integration microservices — and AWS-hosted agent infrastructure. - Conduct root cause analysis (RCA) for platform incidents and drive post-incident reviews with actionable remediation plans.   CLOUD INFRASTRUCTURE & ENVIRONMENT MANAGEMENT   - Manage sandbox, staging, and production environment lifecycles across GTM platforms — including refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliability. - Own cloud infrastructure for Business Systems-operated workloads on GCP (Cloud Run, Cloud Scheduler, Cloud Secret Manager, GCS, Artifact Registry) and AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore); apply IaC practices to make provisioning repeatable and auditable. - Establish base image pinning, dependency vulnerability scanning, and supply chain security practices for containerized workloads — particularly AI-generated codebases deployed via tools like Cursor or Claude Code. - Define and enforce patch management and container runtime ownership for vibe-coded and agentic workloads entering production.   SECRETS, ACCESS & SECURITY POSTURE   - Establish and enforce a consistent secrets management standard across all Business Systems workloads — GCP Secret Manager, AWS Secrets Manager, and equivalent — eliminating credential exposure via environment variables, source code, or client-side contexts. - Define and maintain API key rotation policies in alignment with security standards (high-severity keys: quarterly; vendor keys: annually at minimum). - Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and public/private endpoint governance for Cloud Run and Bedrock deployments. - Maintain a centralized registry of deployed workloads — GitHub repos, deployment URLs, architecture docs, data classification, and observability dashboard links — accessible to AppSec and infrastructure teams.   AUTOMATION & TOOLING   - Build internal tooling, automation scripts, and automated testing frameworks (unit, integration, regression) to reduce toil and increase deployment confidence; continuously evaluate new tooling to improve developer experience. - Develop or enforce GitHub repository templates for Cloud Run deployments that cover security audits, deployment configuration, API integration, and MCP server patterns — serving as a reusable foundation for AI-assisted builds.   GOVERNANCE, STANDARDS & COLLABORATION   - Define where self-service deployment and administration are appropriate versus where stronger change control and operational guardrails are required; serve as the DevOps SME, enabling developers to operate with autonomy within those boundaries. - Document and maintain operational runbooks, architecture decision records (ADRs), and deployment standards as living artifacts. - Collaborate with IT, Data Engineering, Security, and business stakeholders on cross-functional initiatives that touch the GTM platform.   QUALIFICATIONS   EXPERIENCE   - 4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role - 2+ years of hands-on experience deploying and managing Salesforce environments (SFDX, Salesforce CLI, scratch orgs, sandboxes, change sets, or pipeline-based deployments) - Experience with at least one additional GTM/ERP platform, such as NetSuite, MuleSoft, or Workato, in an operational or deployment capacity - Demonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Copado - Hands-on experience with GCP services — Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS — in a deployment or operations context - Experience with AWS services in an integration or operations context — Lambda, S3, SQS, Secrets Manager, CloudWatch; familiarity with Bedrock AgentCore or similar managed agent hosting infrastructure is a strong plus - Experience managing containerized workloads, including image lifecycle, dependency scanning, and supply chain security practices - Experience with incident management, on-call processes, and writing post-incident reviews   SKILLS & COMPETENCIES   Technical   - Strong scripting skills in Python, Bash, or Node.js for automation and tooling - Proficiency with Git, branching strategies, and version control best practices - Understanding of API-based integration patterns (REST, SOAP, event-driven) as they apply to MuleSoft, Workato, or similar iPaaS tools - Hands-on familiarity with secrets management across GCP Secret Manager and AWS Secrets Manager; strong grasp of security best practices in CI/CD contexts (least-privilege IAM, no hardcoded credentials, key rotation) - Monitoring and observability tooling experience (Datadog, Splunk, Google Cloud Monitoring, CloudWatch, or similar) - Infrastructure-as-code proficiency — Terraform or CloudFormation; experience applying IaC to Cloud Run or Lambda-based workloads preferred - Familiarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebases   Operational & Mindset   - Ownership: Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end-to-end. - Velocity: Operates with a bias for action — ships iteratively, reduces toil systematically, and keeps release cycles fast and predictable. - AI & Automation mindset: Actively leverages AI-assisted tooling and automation to accelerate delivery, improve reliability, and reduce manual overhead across the GTM stack. - Collaboration: Fluent cross-functional partner to developers, architects, Security, IT, and business stakeholders — enables autonomy without becoming a bottleneck. - Growth: Continuously evaluates new tooling, patterns, and practices to raise the bar on platform engineering and developer experience.   WHAT YOU'LL WORK WITH   - Salesforce: Core GTM CRM platform; this role owns deployment pipelines, environment management, and release reliability across orgs. - NetSuite: ERP platform integrated into the quote-to-cash flow; managed via SuiteScript/SuiteBundler within CI/CD standards. - MuleSoft (Anypoint Platform): Integration middleware; this role maintains deployment pipelines and observability for MuleSoft-managed flows. - Workato: iPaaS automation platform; monitored and deployed within the broader GTM reliability framework. - GCP (Cloud Run, Cloud Scheduler, Secret Manager, Artifact Registry, GCS): Primary cloud platform for AI agent workloads and integration microservices. - AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore): Secondary cloud environment for agent hosting and integration operations. - GitHub Actions / GitLab CI / Copado: CI/CD tooling used to build, validate, and promote changes across GTM platforms. - Terraform / CloudFormation: IaC tooling for repeatable, auditable infrastructure provisioning. - Datadog / Splunk / Google Cloud Monitoring / CloudWatch: Observability and alerting stack across GTM and cloud workloads. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient — from automated deployments and monitoring to performance optimization and incident response. You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML — you'll keep your team connected to that mission and translate user learnings into better infrastructure.   RESPONSIBILITIES - Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s. - Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work. - Foster a culture of ownership, accountability, and continuous improvement. - Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them. - Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production. - Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity. - Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership. - Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.   REQUIREMENTS - Proven experience directly managing engineers in a cloud infrastructure, platform engineering, or SRE context (not managing managers). - Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews. - Strong background building and maintaining scalable, production infrastructure. - Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins). - Demonstrated ability to drive projects end-to-end — from specification to execution — and coach your team to do the same. - Strong written and verbal communication skills; able to influence across teams without direct authority. - Track record of recruiting and growing engineering talent. - Openness to learning about ML infrastructure; prior machine learning experience is not required.   NICE TO HAVE - Experience with OSS observability tooling (Prometheus, ELK stack, Grafana, OpenTelemetry). - Background in multi-cloud environments or GPU infrastructure. - Experience building and managing on-call rotations and incident response processes. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Задачи: - Проектирование и разработка продакшн-систем с использованием Python 3.12+ для AI-агентов и LLM моделей - Реализация мультиагентной архитектуры: интеграция компонент, реализация пайплайнов и кастомных оркестраторов (LangChain, LangGraph, RAG) - Разработка и поддержка API (FastAPI, Django): создание микросервисов, REST, асинхронные сервисы - Интеграция с реляционными, NoSQL и векторными базами данных (PostgreSQL, Redis, MongoDB, VectorDB: ChromaDB, QDrant) - Создание, обучение и внедрение ML-моделей (ML pipeline, Prompt Engineering, RAG, оценка качества, A/B тестирование) - Контейнеризация (Docker, Docker Compose) и деплой в Kubernetes, частичная настройка DevOps-процессов (CI/CD: Jenkins, ArgoCD) - Разработка unit-тестов, код-ревью, оптимизация производительности, обеспечение безопасности - Взаимодействие в Agile-командах, участие в планировании, менторинг Требования: - Владение Python 3.12+: глубокое знание стандартных и современных возможностей языка (asyncio, typing, dataclasses, pydantic, pytest) от 4-6 лет - Практический опыт разработки AI/ML решений с использованием LangChain, LlamaIndex, RAG, интеграция с LLM API - Опыт проектирования и сопровождения высоконагруженных REST API на FastAPI/Django (архитектура, DI, сериализация, OpenAPI) - Продвинутая работа с PostgreSQL/Redis, проектирование сложных схем, индексация, оптимизация, векторные базы данных - Навыки контейнеризации, деплой в Kubernetes - Опыт внедрения CI/CD пайплайнов, мониторинга, алертинга, организации логирования - Уверенное знание Git, опыт командной работы (Agile, Scrum) - Английский B2+ для чтения документации и коммуникаций Будет плюсом: - Fine-tuning и кастомизация LLM, prompt engineering, оценка качества - Опыт с MLOps, LLMOps и мультирегиональными архитектурами - Участие в R&D или open-source проектах, менторство, архитектурное мышление - Работа с GigaChat API Условия: - Возможность профессионального и карьерного роста в компании, возможность поучаствовать в разных проектах - Опыт работы в распределенной команде профессионалов - Уровень заработной платы обсуждается индивидуально - Формат работы: Офис/гибрид г.Москва или Санкт-Петербург.

Задачи: — Улучшать локальные среды разработки, системы сборки и тестовые процессы для повышения опыта разработчиков. — Оптимизировать процессы CI/CD для увеличения скорости разработки и снижения трений в инженерных командах. — Разрабатывать инструменты, фреймворки и автоматизацию для упрощения разработки и деплоя кода. — Сотрудничать с инженерными командами для выявления проблем в рабочих процессах и внедрения лучших практик продуктивности. — Оценивать новые инструменты и продвигать решения, ориентированные на разработчиков, для повышения инженерного качества. Требования: — Степень бакалавра или магистра в области компьютерных наук или эквивалентный практический опыт. — Опыт работы не менее 3 лет в качестве инженера-программиста с фокусом на системах сборки или внутренних инструментах. — Подтвержденный опыт разработки и деплоя приложений на C++ и Python. — Опыт работы с современными системами сборки (CMake, Bazel) и системами контроля версий (Git, devcontainers). — Владение CI/CD системами, такими как GitHub Actions, GitLab CI, Jenkins или TeamCity. — Глубокие знания Linux-систем (предпочтительно Ubuntu/Debian) и контейнеризации (Docker). Плюсы: — Навыки скриптинга на Python или Bash для автоматизации. — Знакомство с Infrastructure-as-Code (IaC). Условия: — 30 дней оплачиваемого отпуска в год. — Гибридный формат работы и гибкий график. — Полная поддержка визы и релокации для международных кандидатов. — Субсидии на EGYM Wellpass и Deutschlandticket. — Выгодная программа лизинга велосипедов через JobRad. — Финансовая поддержка курсов местного языка. Процесс найма: — Первичный скрининг. — До 4 раундов интервью для оценки технических навыков и соответствия культуре компании.

Location: Singapore Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. The Technical Automation QA (Playwright / TypeScript) at Constructor Tech will play a critical role in designing, implementing, and evolving our automation strategy and frameworks with a focus on Playwright and TypeScript . This role combines deep technical expertise with a passion for efficiency, reliability, and innovation in testing — including the adoption of AI-driven testing and Modular Composable Platforms (MCPs) . You will collaborate closely with development, DevOps, and QA teams to ensure automation excellence across all layers of the delivery process. Key Responsibilities Design, build, and maintain scalable automation frameworks using Playwright and TypeScript for web and API testing. Define and evolve test automation strategy , processes, and best practices to ensure consistent quality across projects. Develop and maintain robust, reusable test suites and utilities for regression, smoke, and integration testing. Integrate automation into CI/CD pipelines (e.g., Jenkins, GitLab CI) to enable continuous testing and fast feedback loops. Collaborate with developers and DevOps engineers to ensure test environments and data are stable and reliable. Apply white-box and gray-box testing techniques to ensure thorough coverage of both frontend and backend components. Contribute to the adoption of AI-assisted testing tools and automation intelligence for test creation, maintenance, and analytics. Participate in exploration and implementation of MCP-based automation components and reusable service connectors. Provide technical guidance through mentoring and peer reviews , helping less experienced QAs enhance their automation expertise and code quality. Continuously improve test performance, reliability, and reporting visibility through innovation and tool evaluation. Requirements Bachelor’s degree in Computer Science, Information Technology, or equivalent experience. 4+ years of experience in QA and automation , including 2+ years with Playwright and TypeScript . Proven experience in building test automation frameworks from scratch . Solid understanding of SDLC , QA methodologies , and automation design principles . Strong knowledge of TypeScript and/or Python for test development. Experience with REST API testing , SQL , and relational databases. Familiarity with Jenkins , GitLab CI , and Git for continuous integration and source control. Strong analytical and troubleshooting skills with a proactive, ownership-driven mindset. Fluent in English , both written and verbal. Nice to Have Experience with AI-powered testing tools or model-based testing . Familiarity with Linux , Docker , and Kubernetes (K8s) . Knowledge of mobile automation frameworks such as Appium or similar tools. Understanding of MCP architecture and how it can enhance modular automation. Knowledge of performance or security testing concepts. Experience working in Agile or Kanban environments. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: United States, Madison, WI 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. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. 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. $152,500 — $228,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Обязанности: -Составление тестовой модели и написание тест-кейсов -Разработка и написание автотестов -Поддержка актуальности автоматизированных тестов -Создание и настройка тестовых стендов -Анализ результатов тестирования -Подготовка отчётов по результатам тестирования Требования (обязательно): -Гибридный формат работы, Москва -Опыт тестирования от 2 лет -Опыт автотестирования от 1 года -Java — написание автотестов -Практика с Selenide, Rest-Assured, JUnit 5 -Опыт актуализации автотестов и их запуска -Базовый SQL (SELECT, INSERT, фильтрация) -Интеграционное тестирование, API инструменты (Postman / Insomnia / SoapUI / Fiddler и др.) -Экспертное знание веб-приложений, тестирование сервисов -Allure (подготовка отчётности) Будет преимуществом: Kafka Jenkins

Location: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale. The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support). The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability. Location: This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations. What your day will look like Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance Develop and maintain CI/CD pipelines for continuous kernel quality validation Conduct performance benchmarking and regression detection across kernel releases Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers Collaborate regularly and proactively with a globally distributed team Contribute to upstream test suites and testing frameworks Document test methodologies, results, and coverage gaps What we are looking for in you Significant programming experience in Python Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar Experience designing and executing system-level tests: functional, stress, performance, or regression testing Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar) Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems Experience with Linux systems administration and automation Solid background with git Well-organized, self-starting and able to deliver to fixed schedules Professional written and spoken English with excellent communication skills Ability to travel twice a year, for company events up to two weeks each Additional skills that you might also bring Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses) Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage) Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF) Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation) Experience with Ubuntu/Debian packaging or Snap Knowledge of virtualization technologies (KVM, QEMU) and container runtimes Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack) Prior involvement with open source testing communities or projects What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

amoCRM - крупнейшая CRM система в России, работающая на рынках России, США, Европы и Латинской Америки, общаясь с клиентами на 4 языках. В команду требуется Middle Python разработчик на внутренний проект по автоматизации работ в инфраструктуре. Задачи: — Технически развивать проект — Выявлять дефекты и находить причины их возникновения — Писать автоматизацию для решения инцидентов в highload проекте — Работать с бекапами — Автоматизировать работу отделов — Осуществлять Code-review других разработчиков — Нести полную ответственность за свой код Стек технологий: Python, Django DRF/ORM, Redis, Celery, MySQL, Go, Docker, Kubernetes, Git, Linux, Makefile, Shell скрипты, Vue, Jenkins. Ожидания: — Релевантный опыт backend-python разработчиком не менее 1,5 лет — Умение работать с системами сбора и хранения логов — Структурное мышление и умение разбивать проект на подзадачи — Опыт работы с другими языками программирования, например PHP — Ответственность, самостоятельность, организованность — Умение работать с асинхронным кодом — Умение работать с bash — Желание учиться и развиваться Будет плюсом: — Умение работать с внешними API (Google, Jira и др.) — Умение разрабатывать Docker compose/k8s конфигурационные файлы Условия: — Работа над интересным проектом в технически сильной команде — Возможность карьерного и профессионального роста — Комфортный офис на м. Добрынинская — Без бюрократии, дресс-кода — График 5/2 с 10:00 до 19:00 или с 11:00 до 20:00 Мск — Работа в офисе, без возможности удаленной работы Факты о проекте: — Мониторинг состояния более 1000 шард и сервисов — Обслуживание шард (оптимизация, решардинг, анализ, чистка) — Перевод трафика по DNS — Обращение к базе данных без прямого подключения к доступам — Оповещения об авариях и автоматическое решение — Возможность записи и проверки бекапов — Большая часть кода на Django, также есть Go — Деплой для QA