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Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a skilled Containerization Platform Engineer (Saudi National Only) to support our innovative remote team. This role involves the design, implementation, and administration of containerized applications and environments using technologies such as Docker and Kubernetes. As a Containerization Platform Engineer, you will ensure the smooth operation, security, and scalability of our containerized solutions. Key Responsibilities: Design and implement containerization strategies using Docker and Kubernetes. Create and manage secure container images and deployments, adhering to best practices for security and performance. Monitor and optimize container performance and resource utilization. Develop and maintain CI/CD pipelines to automate application deployments and updates. Provide technical support and troubleshooting for containerized applications. Collaborate with development teams to ensure seamless integration of containerization into the application lifecycle. Keep up-to-date with the latest trends and technologies in containerization and cloud services. Document processes, workflows, and best practices for container management. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. Hands-on experience with containerization technologies, specifically Docker and Kubernetes. Experience of 1-2 years with Kubernetes or OpenShift is essential. 3-5 years of experience in a relevant DevOps, Cloud, or Systems Engineering role is preferred. Solid understanding of microservices architecture and associated deployment methodologies. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is required. Proficient in scripting languages like Python or Bash for automation tasks. Familiarity with Infrastructure as Code (IaC) tools like Terraform or Ansible is a plus. Excellent problem-solving skills in fast-paced environments. Strong communication skills and the ability to collaborate effectively with remote teams. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia Müller's Solutions is looking for a talented Containerization Platform Engineer to join our innovative team. In this role, you will be responsible for supporting containerized applications, implementing security best practices, developing automation, and monitoring performance to ensure smooth, secure, and efficient operation. Operates 24x7x365 to assist in the deployment, configuration, and management of containerization platforms (e.g., Docker, Kubernetes). Key Responsibilities: Design and implement containerization strategies using technologies such as Docker and Kubernetes. ·      Implement security best practices for containerization environments, including image security, network security, and access control. Conduct security assessments and audits to identify and remediate vulnerabilities. Support the deployment and configuration of containerization platforms, ensuring the correct setup of containerized applications in accordance with best practices for performance and security. Provide technical assistance to users, developers, and operations teams. Address and resolve issues related to containerized applications, networking, storage, and orchestration. Design and maintain CI/CD pipelines to automate the deployment of containerized applications. Serve as the primary technical contact for application and DevOps teams utilizing the platform. Monitor and enhance container performance and resource utilization. Evaluate the performance of containerized environments to identify performance bottlenecks and improve resource allocation. Implement monitoring tools to track container health, performance metrics, and logs. Create automation scripts and tools for managing environments, deploying applications, and scaling resources. Establish CI/CD pipelines to streamline the build, test, and deployment workflows. Generate and update documentation, guides, and knowledge base articles. Guarantee the high availability and scalability of containerized applications. Work closely with development teams to create optimized container images and enhance application deployment. Diagnose and resolve issues related to containerized environments. Collaborate with Level 2 support teams (Operating Systems, Network, Storage) to tackle underlying infrastructure challenges. Document processes and architecture thoroughly.st practices for container management. Stay current with the latest trends and technologies in containerization and cloud services. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. Hands-on experience with containerization technologies, preferably Docker and Kubernetes. A minimum of 1-2 years of direct, hands-on experience with Kubernetes or OpenShift is essential. 3-5 years of experience in a relevant role within DevOps, Cloud, or Systems Engineering is preferred. A solid grasp of microservices architecture and deployment methodologies is required. Experience with cloud platforms, including AWS, Azure, or Google Cloud, is necessary. Proficiency in scripting languages such as Python or Bash for automation purposes is required. Familiarity with Infrastructure as Code (IaC) tools like Terraform or Ansible is an advantage. Exceptional troubleshooting skills and the ability to thrive in a fast-paced environment are critical. Strong communication abilities and experience in collaborative work across teams are essential. Work together with L2 teams (Operating System, Network, Storage) to address fundamental infrastructure challenges. Monitor the performance of containerized environments to detect bottlenecks and optimize resources. Implement monitoring tools for container health, performance metrics, and logging. Create automation scripts and tools for managing environments, deploying applications, and scaling resources. Establish CI/CD pipelines to automate build, testing, and deployment processes. Develop and maintain documentation, user guides, and knowledge base articles. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. This is a general selection process for software engineers focused on virtualisation and container technology - from the kernel through userspace. Apply here if you are an exceptional Go, Rust, or C/C++ software engineer and want to work on next-generation open source VMM or container technology, or related open source networking and storage. Container, virtualisation and cloud infrastructure have become essentials of modern software deployments. We invest in open source related to application isolation, workload orchestration, system or OCI containers, micro service architecture or cloud infrastructure. Here are some examples of projects under way at Canonical. RustVMM has great potential as a new hypervisor for Linux. We are building a team to work on this, with an emphasis on performance, security and operability. Work in Rust and bring your expert knowledge of VMM and related kernel networking and storage capabilities. Docker images are easy to make and publish on Docker Hub and other registries, but the quality, consistency and security maintenance of those images is broadly very poor. Canonical is in a good position to publish a portfolio of outstanding Docker images. Our Rockcraft team is designing and implementing an elevated Docker image experience for the open source community. LXD is a modern system container and virtual machine manager that is widely used on Ubuntu, ChromeOS and other Linux platforms. LXD engineering spans the entire software stack from low-level kernel work on namespaces, confinement, security, filesystems, VMMs and networking, to the high level management REST API and CLI. Members of the Kubernetes product team build MicroK8s for on-rails K8s, and Charmed Kubernetes for more sophisticated integration. We work on K8s itself and on the operations tooling around it. The OpenStack team deliver Charmed OpenStack, OVN / OVS and Ceph. This work brings cloud platform technologies to large-scale computing environments. These teams hire system level C/C++, Golang, Rust and Python developers to work on security-critical, performance-critical and mission-critical code, focused on software delivery, containers, security, sandboxing, application orchestration and management. Our teams are motivated to have a meaningful impact on modern cloud computing technologies. Location : we have remote container and virt engineering roles in every time zone. What you will focus on Design and specify new features, building consensus on approach Engage with upstream communities in your area of expertise Conduct security analysis and reviews to ensure defence in depth Create and monitor performance benchmarks to optimise your product Collaborate proactively with a distributed team Write high quality code to create new features Debug issues and produce high quality code to fix them Review code produced by other engineers Discuss ideas and collaborate on finding good solutions What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Drive and a track record of going above-and-beyond expectations You have worked on open source virt or container tech You have experience working in the kernel or very low level system Professional written and spoken English Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Passion, thoughtfulness, and self-motivation Excellent communication and presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks each Additional skills we value Performance engineering and security experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm 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.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. 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

Location: Limassol, Cyprus Workplace: hybrid inDrive is a global technology company building products used by millions of people around the world. We are looking for a Senior DevOps Engineer to join our Market Intelligence team and help build and maintain reliable, scalable, and efficient infrastructure for data-driven products. In this role, you will work closely with development and data teams, improve CI/CD processes, automate infrastructure and deployments, and ensure the stability and scalability of our systems across different environments Key Responsibilities Building a geo-distributed infrastructure, ensuring maximum performance and reliability of our services Participation in the life cycle of projects at all stages, including the design and development of services, resource planning and maintenance Improving processes related to system maintenance (fault tolerance, scaling, postmortems, finding and eliminating bottlenecks) Automation of build, test and application delivery processes Development of services and infrastructure management tools Taking part in creation of PaaS platform On-call duty Skills, Knowledge and Expertise Deep knowledge and understanding of Linux OS (Ubuntu, Amazon Linux) Deep knowledge of Docker / Containerd containerization technologies Experience in building CI/CD Pipelines Experience in using Ansible / Saltstack and writing roles / playbooks / states / pillars Strong understanding of command of Git Ability to independently decompose tasks and bring them to the end Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We’re looking for a Senior DevSecOps Engineer to help us take our security work further through automation across SOC and DevSecOps processes. You’ll join AppSec Cheetahs, our team of ethical hackers. We look for vulnerabilities, strengthen application security, and share our knowledge with other engineers. In this role, you’ll build and improve security solutions, develop automation with Python, create and maintain CI/CD pipelines, and explore AI integrations to make security processes more efficient. It’s a great opportunity to combine your DevOps and Python expertise with Application Security, work on real security challenges, and have a direct impact on the security of our products. Key Responsibilities Integrate Security into CI/CD: Design, build, and maintain a secure CI/CD pipeline by integrating static (SAST), dynamic (DAST), and interactive (IAST) application security testing tools. Automation: Develop and implement automation for security processes, vulnerability management, and compliance checks to ensure continuous security feedback. Infrastructure as Code (IaC) Security: Secure IaC scripts (e.g., Terraform, CloudFormation) by scanning for misconfigurations and vulnerabilities before deployment. Tooling & Maintenance: Evaluate, implement, and manage security tools for vulnerability scanning, monitoring, and compliance. Mentorship & Advocacy: Act as a security champion within the organization. Mentor developers and operations teams on secure coding practices and DevSecOps principles. Skills, Knowledge and Expertise Experience: 5+ years of experience in a DevOps, Security Engineering, or a similar role, with at least 2 years focused specifically on DevSecOps. CI/CD Expertise: Proven experience with CI/CD tools such as Jenkins, GitLab CI, any else. Scripting Proficiency: Strong scripting skills in languages like Python, Bash, or Go for automation tasks. Cloud Platform Knowledge: Knowledge of at least one major cloud provider (AWS, Azure, or GCP) and its security services (e.g., AWS Security Hub, Azure Security Center, GCP Security Command Center). IaC Skills: Experience with Infrastructure as Code tools like Terraform, Ansible, or CloudFormation. Container Security: Strong understanding of containerization technologies (Docker, Kubernetes) and their security challenges, including securing container images and runtime environments. Security Tools: Familiarity with a wide range of security tools, such as SAST (e.g., SonarQube, Checkmarx), DAST (e.g., OWASP ZAP, Burp Suite), and vulnerability scanners (e.g., Trivy, Nessus). Soft Skills: Problem solving abilities, strong communication skills, and the ability to work collaboratively across different teams. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a hands-on Risks Ops to own and evolve our core Decision-Making System (DMS) and credit processing engine. In this role, you will bridge the gap between risk management, and core engineering, leading a focused team of developers to design, build, and optimize high-throughput, low-latency decisioning engines. You will play a pivotal role in streamlining time-to-market for credit strategy changes, integrating advanced ML scoring models, and replacing legacy software with modern, scalable, in-house microservices architecture. Key Responsibilities Technical Leadership & Ownership: Take full ownership of the end-to-end Decision-Making System (DMS) lifecycle, including system architecture, deployment pipelines, production monitoring, continuous code cleanup, and performance optimization. Cross-Functional Collaboration: Partner closely with Risk Analysts and Data Scientists to translate complex business logic, risk rules, and ML scoring models (application, behavioral, fraud) into production-ready software. Team Leadership & Delivery: Implement core logic of DMS system to suit the needs of InDrive's lending vertical. Code reviews, release management, and performance evaluations while fostering an efficient, agile environment. Process Optimization: Reduce time-to-market for credit strategy updates by modernizing delivery workflows, introducing automated regression/retrospective testing, and eliminating dependencies on legacy release cycles. Architecture & System Integration: Drive the evolution of our high-volume microservices ecosystem (Golang, AWS). Integrate internal and external services (credit bureaus, collection platforms, fraud detection services) via REST APIs and event-driven pipelines. Skills, Knowledge and Expertise Fintech & Credit Decisioning Expertise: 7+ years of total backend engineering experience, with deep domain expertise in financial technology, credit conveyors, loan processing, debt collection systems, or automated decisioning engines. Risk-Ops experience: be familiar with any popular decision-engine (gorules, n8n, camunda, SAS RTDM, FICO Blaze Advisor etc…) Stack: Strong expertise in Golang / Python, and build tools (Gitlab CI), AWS-related experience will be a huge plus. Data Management: Proficiency with relational and non-relational databases (MySQL, AuroraDB, DynamoDB, GBQ). DevOps, CI/CD & Observability: Hands-on experience with modern CI/CD tools (GitLab CI, GitHub Actions), containerization (Docker), and system monitoring tools (Prometheus, Grafana). Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 75 600 EUR gross. Final benefits may vary depending on the location.

Location: Arlington, VA, United States Job Title Cyber Virtualization Engineer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Arlington, VA Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description SITE 525 is seeking a highly skilled Cyber Virtualization Engineer to support the development and sustainment of advanced cyber training environments. This role involves hands-on engineering of secure, scalable, and AI-enabled virtual ranges that emulate realistic, adversarial network conditions across IT and OT domains. These environments are used for cyber mission rehearsals, red/blue/gray team operations, and full-spectrum cybersecurity exercises. Must be willing to travel up to 25%. Responsible for designing, deploying, and maintaining advanced virtualized training environments that replicate realistic, large-scale, and adversarial network conditions. This position focuses on engineering and integrating dynamic, hypervisor-driven platforms and virtualization technologies to support cyber mission rehearsals, red/blue/gray team operations, and full-spectrum training exercises. Key Duties Engineer and implement scalable virtualized environments leveraging hypervisors (KVM, VMware, Hyper-V), virtual machines, containers, and software-defined networking across hybrid, edge, and cloud infrastructures. Implement and manage virtualization stacks including private cloud platforms, hypervisor clusters, and orchestration frameworks for large-scale, multi-tenant environments. Develop automation and orchestration tooling for provisioning, snapshotting, and lifecycle management of virtualized assets using Infrastructure-as-Code and CI/CD pipelines. Integrate advanced traffic simulation capabilities (burst, steady-state, geo-distributed, AI/ML-driven) to emulate realistic user and system behaviors within virtual ranges. Build and maintain frameworks and tooling for user and NPC emulation across virtualized environments to enhance operational realism, including threat emulation and defensive toolsets for network monitoring, incident detection, and response. Implement observability pipelines for performance monitoring, traffic replay, autoscaling validation, and centralized logging in production-grade virtual infrastructures. Administer and secure hypervisor platforms and virtual networking components, ensuring isolation, resiliency, and compliance for mission-critical environments. Manage network and server infrastructure including Active Directory, identity management systems, and virtualized security controls. Integrate third-party virtualization and orchestration tools to improve fidelity and scalability of training environments. Support exercise operations including setup, execution, troubleshooting, and real-time scenario management for White Cell operations. Collaborate with technical working groups and stakeholders to validate and enhance virtualization strategies for cyber training environments. Apply knowledge of OT systems (SCADA, ICS, PLCs, IoT/IIoT) within virtualized contexts for realistic emulation. Relevant Technologies & Tools: Virtualization & Hypervisors: VMware ESXi/vSphere, KVM/QEMU, Microsoft Hyper-V, Proxmox, OpenStack Virtual Infrastructure Management: VM lifecycle management, snapshotting, cloning, orchestration frameworks Cloud & Containerization: Private cloud platforms, AWS, Azure, Kubernetes (K8s), Docker, Podman, hybrid and edge deployments Networking & SDN: Virtual switches (vSwitch, vDS), software-defined networking, network segmentation, VPNs, dynamic Network-as-Code tools Automation & IaC: Infrastructure-as-Code (Terraform, Ansible, Packer, Helm, Nomad ), CI/CD integration for infrastructure Performance & Observability: Metrics collection, centralized logging, traffic replay, load simulation, autoscaling validation Security in Virtualized Environments: Identity management, Active Directory (GPOs, tiered admin scripts), secure isolation of virtual ranges Cyber Range Engineering: Virtualized cyber training environments, adversarial network simulation, AI/ML-driven traffic emulation Traffic Simulation & User Emulation: Lariat, CMU GHOSTS, MITRE Caldera, Red Canary, Atomic Red Team, TRex, BreakingPoint, Locust, k6, custom Python/TypeScript scripts, AI-enabled agents Compliance & Assurance: NIST 800-series, ISO 27001, FedRAMP, CUI-compliant controls Monitoring & Control Interfaces: Custom dashboards for exercise operations, centralized scenario orchestration Requirements Bachelor’s or Master’s degree in Cybersecurity, Computer Engineering, or related field. 5+ years of experience in cyber engineering, network operations, or cyber range development. Top Secret security clearance. Proficiency in virtualization, containerization, and cloud technologies. Experience with offensive and defensive cybersecurity tools and frameworks. Familiarity with AI/ML integration in cyber environments. Strong scripting and automation skills (e.g., Python, Bash, PowerShell). Experience with infrastructure-as-code tools (e.g., Terraform, Ansible). Knowledge of OT systems and protocols. Security certifications (e.g., CISSP, CEH, OSCP) are a plus. Compensation Competitive Hourly Pay Benefits Questions? Please reach out to lolney@idsinternational.com for additional questions or information.

Location: Worldwide; Georgia; Armenia; Serbia; Poland Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Team Lead Software Engineer (.NET) . Your main tasks will be: Own delivery of the monolith-to-microservices modernization end-to-end — from legacy analysis through production release — with full visibility into pipeline status and risk. Partner with Product and Architecture to review specs, map legacy dependencies, and turn that into estimates the team can actually hit. Guide architectural decisions across .NET Core services, databases (SQL/NoSQL), and frontend integrations, and be the go-to for the hardest backend, data migration, and production incident calls. Sharpen how the team works day-to-day — tighter task tracking in Jira, more accurate estimation, and a QA partnership that keeps bugs resolved fast and production stable. Run regular 1-on-1s tied to real career goals, and drive the feedback and process changes that keep the team improving and engaged. We expect from you: Solid .NET engineering background with deep expertise in C#, .NET 8, and ASP.NET Core. Deep understanding of web application architecture, REST APIs, the microservices pattern, message brokers (RabbitMQ), and database design (PostgreSQL, MS SQL Server, Redis). Practical experience with legacy system modernization, monorepo-to-microservices refactoring, and containerization (Docker, Kubernetes). Ability to act as the technical escalation point for complex implementation, data migration, or performance issues. Proven experience managing engineering teams — running 1-on-1s, performance reviews, and objective evaluations. Strong track record in delivery management: task tracking in Jira, process discipline, and hitting internal deadlines with predictable releases. Experience reviewing business specs, assessing technical feasibility, and providing high-level estimates — partnering closely with PM and product to keep engineering output aligned with product goals. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now! The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.

Location: Remote PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform delivers a fully managed, multi-cloud Postgres service designed for the most demanding production workloads. We handle the complexity of provisioning, scaling, replication, and failover - so engineering teams can focus on building their products. Our customers entrust us with their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a Software Engineer to join our Postgres engineering team and help us build a world-class managed Postgres offering. What's the job to be done? You will design and build the control plane that provisions, scales, and heals Postgres clusters with minimal customer-visible downtime. You will build and maintain high availability, disaster recovery, and data protection solutions that keep customer databases safe through infrastructure failures. You will tune Postgres to operate at scale for some of the largest and most demanding workloads in the world. You will build tooling and automation for database operations, backup, restore, and migration workflows - and participate in an on-call rotation. You will work directly with customers to understand their workloads and translate real-world needs into platform improvements. These attributes best describe you… You have strong experience building, operating, or maintaining large-scale Postgres deployments in production. You have an excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, and performance. You have strong fundamental computer science skills and can reason about distributed, fault-tolerant systems. You thrive in a collaborative environment, enjoy mentoring other engineers, and communicate complex technical tradeoffs clearly. You are self-motivated and can work independently with minimal guidance while making sound technical decisions. What you will need 5+ years of software engineering experience designing, building, and supporting large-scale systems in production. Strong proficiency in Go, with experience in other languages like Ruby, Python, Zig or Rust. Experience building and maintaining distributed, fault-tolerant services. Working knowledge of Kubernetes and containerized applications. Experience building and operating distributed systems at scale. What else will help you be successful Experience building or operating a database-as-a-service or managed database platform. Experience with connection pooling and proxy layers for Postgres. Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code. Contributions to open-source projects, especially in the Postgres or database infrastructure space. Experience working with remote, geographically distributed teams. Previous experience at a high-growth technology company. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $290,000 USD

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE Supabase Storage https://supabase.com/docs/guides/storage is a scalable and high performance object storage service and is one of our fastest growing services. The current landscape of tools for uploading, storing, processing and delivering assets is complicated. Developers are forced to think about regions, caching, codecs and security before they can start uploading anything. We are looking for engineers to solve this problem once and for all! You will be working across the entire stack - client libraries, CLI, CDN, the storage server and the deployment infrastructure. One day, you might focus on improving upload resilience in iOS applications; the next, you could be optimizing the S3 protocol for efficient retries or finding ways to accelerate upload processing. You will be contributing to both our open source server https://github.com/supabase/storage and upstream dependencies we use, like the TUS server https://github.com/tus/tus-node-server/pulls?q=sort%3Aupdated-desc+is%3Apr+author%3Afenos+is%3Amerged. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Improving our analytics bucket offering and improving the storage of open file formats like iceberg and ducklake - Asset optimization to speed up delivery for websites and mobile applications - Building out our edge network to speed up uploads and build features like automatic cache invalidation - Improve the performance, observability, and reliability of our storage server - Work with the frontend team to build a fast, powerful storage explorer - Improve our APIs, client libraries and CLI to provide an exceptional end-to-end DX for our users - Resolve escalated support issues, while also identifying and resolving systemic issues across the platform YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years backend engineering experience of running Node.js in production - Have experience with highly scalable, distributed systems - Are comfortable with working across the stack - backend application development, some infrastructure work including deploying, monitoring and scaling the service - Posses familiarity with observability tools (OpenTelemetry, Prometheus, Grafana) and performance tuning - Have experience with production-grade PostgreSQL usage, including tuning and troubleshooting - Demonstrate an ownership mentality: driving projects end-to-end - Display empathy towards developer experience NICE-TO-HAVE - Prior experience working on developer tools - Solid knowledge of cloud infrastructure (AWS, GCP or Azure) and containerization (Docker, Kubernetes) - Direct experience designing and operating large file upload/download pipelines at scale - Deep, practical CDN integration and optimization knowledge - Experience with image and video processing tools (sharp, dssim, ffmpeg), formats and codecs (AVIF, WebM, Brotli) is a plus - Experience with the frontend ecosystem (Next.js, React, etc) is a plus WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote USA Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a Senior Cloud Engineer I, you are the backbone of the infrastructure that powers Docebo’s global learning platform! You will architect, scale, and secure our AWS-based environments using cutting-edge DevOps and Platform Engineering practices. By building resilient automation and optimizing systems like our FedRAMP-regulated environments, you will directly empower engineering teams to deploy faster and keep millions of learners seamlessly connected. Get ready to solve high-impact technical challenges, elevate our cloud strategy, and shape the future of AI-driven learning!   ⚡ THE DAY-TO-DAY - Architect the Future: Own and evolve our AWS cloud infrastructure end-to-end, taking projects from initial blueprint through implementation and operations to guarantee ultra-high availability, performance, and scale. - Automate Everything: Design and implement self-service Infrastructure-as-Code (IaC) templates and automation workflows that crush manual toil and give product teams superpowers. - Fortify the Platform: Elevate our cloud security posture by partnering with Security and Compliance teams to maintain audit-ready FedRAMP configurations, eliminate drift, and streamline patching. - Partner for Impact: Collaborate closely with Engineering to launch new services seamlessly, jump into high-priority incident responses, and turn post-mortem insights into platform upgrades. - Optimize and Observe: Master systems like Datadog to keep eyes on platform performance, driving decisions that optimize system resilience, speed, and cost-efficiency. - Level Up the Team: Inspire and mentor junior Cloud Engineers through code and design reviews, keeping Docebo at the forefront of modern cloud trends.   💪 YOUR SUPERPOWERS - Cloud Mastery: Proven expertise managing complex, production-grade AWS infrastructure with 4–8 years of experience in cloud systems or platform engineering. - Infrastructure as Code Ace: Intermediate to advanced mastery with IaC tooling like Terraform, CloudFormation, or CDK to provision and scale complex environments. - Containerization & Linux Powerhouse: Hands-on proficiency with Linux, Docker, and running microservices on Kubernetes/EKS. - Observability & CI/CD Champion: Strong experience using Datadog (or similar observability tools) alongside Git/GitLab for seamless code delivery and automation. - DevOps Mindset & Scripting Skills: Solid understanding of DevOps methodologies paired with fluent scripting skills in Python, Bash, or Go. - Problem-Solving Superhero: Exceptional analytical skills, sharp attention to detail, and a collaborative, team-first approach to solving complex engineering problems.   NOTE: U.S. citizenship is required for this position because its duties require access to restricted federal customer environments that limit access to U.S. citizens. Preference will be given to candidates who live in, or are willing to work, Eastern Time hours.   ⭐ BONUS POINTS - Compliance Ninja: Direct experience maintaining and patching FedRAMP-regulated or highly compliant cloud environments. - Academic Foundation: A Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent real-world experience).   🗓️ OUR INTERVIEW PROCESS Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. Step 2: A 45-60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity. Step 3: A technical deep-dive and system design discussion with key members of our Cloud & Platform Engineering team. Step 4: A final wrap-up conversation with engineering leadership to discuss team culture, growth, and next steps.   OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.   ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with offices across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.   Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Europe or US Workplace: Remote About the team The Control Plane Platform team is building the shared foundation that every product in ClickHouse Cloud is built and shipped on. We give ClickHouse engineering teams one place to own and deploy their product, remove the overhead of rebuilding common plumbing, and keep the customer experience consistent as the number of integrating teams grows. The team owns API gateways and API standards, shared platform services, deployment and infrastructure patterns, testing and CI, local developer experience and Control Plane observability. About the role We’re looking for an Engineering Manager to lead our Platform team. This is a high-impact, high-trust role at the center of our Cloud product, combining people leadership, technical direction, product thinking, and operational ownership while maintaining the reliability customers expect. You’ll work hand-in-hand with Product, Infrastructure, Security, Support, and engineering teams across ClickHouse. This role goes beyond engineering leadership. Together with your team, you’ll help shape how new products and teams will integrate and deploy their applications in ClickHouse Cloud. What You’ll Do - Lead, coach, and grow a high-performing team - recruit to a high bar, set crisp expectations, give direct feedback and career development, and manage performance — while fostering a healthy, inclusive environment built on empathy, psychological safety, trust, and a high technical bar. - Own outcomes across the platform surface: API gateways and API standards, shared platform services (event bus, notifications, feature flags, websockets, audit records), deployment and infrastructure patterns, CI and testing, local developer experience, disaster recovery, and Control Plane observability. - Treat the integrating teams as your customers and measure success by their delivery velocity and adoption of the platform, not only by what your team ships. - Guide architecture and help senior engineers make explicit, sound tradeoffs. land cross-cutting migrations, deprecations, and contract changes across teams without stalling product delivery. - Jump into designs and code for complex areas - gateway routing and auth/RBAC enforcement, spec-driven code generation, event delivery semantics and idempotency, multi-region rollout safety. - Build the culture of operational excellence: Own SLOs, reliability, on-call quality, and cost-efficiency for k8s-hosted, multi-tenant services across cloud regions. - Systematize support, reduce toil, and build self-serve/auto-healing capabilities - golden-path templates and generators, auto-healing, and documentation that gets a new team integrated in days rather than weeks. - Shape the platform vision, turn it into a roadmap, sequence bets for business impact, and ship fast with tight feedback loops — including writing the RFCs that build cross-org consensus before big changes land What you bring - 8+ years in software engineering and 3+ years managing software engineers with a track record of hiring, developing, and retaining strong talent. - Experience leading a platform or infrastructure team whose customers are other engineering teams — you've driven adoption and cross-org migrations through influence and good tooling rather than mandate. - Experience leading distributed global teams, fostering an inclusive and autonomous culture, and creating clarity across time zones. - Experience building scalable, highly available, and secure cloud-based infrastructure in AWS (EKS, SQS, DocumentDB, Redis, PostgreSQL, Lambdas) with infrastructure as code (Terraform, Helm) and progressive delivery (Argo Rollouts or similar). - Experience with containerization and orchestration (Docker, Kubernetes), including patterns for hosting many independently deployed applications in a shared cluster. - Familiarity with API platform work: OpenAPI-driven contracts, API gateways, and the shared concerns they centralize — authentication, RBAC, rate limiting, versioning, and deprecation. - A track record of decomposing a monolith into independently deployable services without stalling product delivery. - Technical credibility to engage deeply in architecture and incidents without owning daily implementation. - Hands-on: you still enjoy diving into code/designs for complex or critical areas, reviewing code, and guiding via feedback. - Strong execution judgment across ambiguity, parallel workstreams, risk, and long-term system health. Nice to have - Experience with large TypeScript/Node monorepos and the developer-experience problems that come with them: CI scale and flakiness, build and test times, local development environments, and code generation from specs. - Designed and implemented strategies for load balancing, auto-scaling, disaster recovery, and failover for cloud environments. - Experience building CI/CD at scale - Experience with internal developer platforms: service catalogs, golden-path templates, and self-service app scaffolding. - Proficiency with frontend frameworks (React). - Experience making APIs consumable by AI agents — MCP servers, CLIs, or skills generated from API specs. - Experience with ClickHouse - Previous experience in developing analytics or data-intensive applications. Why This Role - Shape how all feature teams in ClickHouse Cloud develop and integrate with each other - Operate with ownership, autonomy, and speed while keeping the company lean. - Lead a technical team where correctness, performance, reliability, and developer experience all matter. 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: Brussels, Belgium We currently have a vacancy for a Senior LLMOps Engineer fluent in English, to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Your tasks: Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs) in a secure hybrid on-prem / cloud infrastructure; Deploy, test, manage and monitor ML models in different containerized environments; Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models; Evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration. Develop evaluation frameworks for LLM quality, robustness, and regression tracking; Analyse performance metrics and troubleshoot issues to ensure high availability and reliability; Design CI/CD pipelines, use orchestration solutions and data versioning tools; Creating automated anomaly detection systems and constant tracking of its performance and optimizing ML pipelines for scalability, efficiency and cost-effectiveness; Provision of security studies, security assessments or other security matters associated with information system projects; Provision of support and guidance to other team members on LLMOps/MLOps practices. Requirements University degree in a relevant field such as Computer Science, Information Technology, or Systems Engineering combined with relevant IT professional experience of at least 10 years; Excellent experience of managing an on-prem and/or cloud LLM / MLOps infrastructure; Experience with data analytics over big datasets, non-structured databases as well as data lakes; Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch); Experience with model testing and model validation in production environments; In depth knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS); Good knowledge of MLflow, TensorFlow (TFX) or equivalents; Good knowledge of Airflow; Good knowledge of AWS or EU cloud providers; Good knowledge of Python; Good knowledge of Unix and Bash; Good knowledge agile software development methodologies; Good knowledge of infrastructure as code (Terraform, CloudFormation); Excellent knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ); Knowledge of NoSQL databases, such as OpenSearch, MongoDB as well as query languages, such as SQL, Hive, Pig, etc. and with information extraction; Excellent command of the English language. Benefits If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference (158837/10/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com) is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Armenia; Georgia; Poland; Estonia; Azerbaijan; Romania Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior PHP Engineer to join our dynamic team. The client is a leading company specializing in advanced cybersecurity solutions. They provide comprehensive security measures designed to protect sensitive data and systems from cyber threats. Their offerings include vulnerability management, threat intelligence, incident response, and compliance management. With cutting-edge technology and a team of experts, they ensure robust protection for organizations across various industries, helping clients stay ahead of evolving cyber threats and maintain a secure digital environment. Responsibilities Take end-to-end ownership of QA for a new .NET-based product as the sole QA engineer. Define and implement the testing strategy, test plans, quality standards, and release readiness criteria. Select appropriate automation tools and build a maintainable test automation framework from scratch. Design, implement, and maintain automated tests covering critical functionality, integrations, and end-to-end workflows. Perform manual and exploratory testing to validate new features and identify issues beyond automated coverage. Integrate automated tests into CI/CD pipelines and ensure reliable, actionable test results. Collaborate with developers and product stakeholders to clarify requirements, identify edge cases, and improve testability early in development. Investigate defects, document reproducible findings, and verify fixes. Drive release quality by assessing test coverage, communicating risks, and providing clear release readiness recommendations. Requirements Proven experience in a Senior QA or QA Automation role, with the ability to independently own the full QA lifecycle. Experience establishing QA processes and building test automation frameworks from scratch. Strong hands-on programming skills in at least one language used for test automation; no specific language is required. Solid understanding of test design techniques, risk-based testing, and selecting appropriate levels of test coverage. Experience testing APIs, backend services, and integrations. Ability to combine automated, manual, and exploratory testing effectively. Experience integrating automated testing into CI/CD pipelines and working with Git. Strong troubleshooting skills, including working with logs, test data, and databases. Ability to select tools pragmatically, prioritize testing activities, and work independently in a new project with evolving requirements. Clear communication skills and the ability to explain quality risks to technical and non-technical stakeholders. Nice to Have Experience testing .NET-based applications or programming in C#. Previous experience as the sole QA engineer on a product. Experience with performance, load, or security testing. Experience with containerized test environments and Docker.

Location: San Francisco, CA; San Jose, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.   As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.   The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities.   RESPONSIBILITIES Build in Production with Customers - Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary. - Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress. - Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling. - Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it. Make AI Adoption Safe and Governable - Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production. - Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience. - Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds - Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control. Partner with Solutions Architecture and the Field - Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary. - Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns. - Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption. Close the Loop with Product and Engineering - As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services. - Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t. - Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap. Shape the Practice - Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners. - Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team. - Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services. - Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.   QUALIFICATIONS Required - 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience. - Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence. - Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews. - Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals. - Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior. - Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD. - Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP). - Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality. - Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority. - Proven track record of technical mentorship and of raising the bar for the engineers around you. - High agency and comfort operating autonomously in distributed, remote-first teams. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Travel to customer sites to build in person with customer teams, estimated at up to 50%. Bonus - Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner. - Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings. - Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors. - Contributions to open source projects in the container, Kubernetes, or MCP ecosystems. - Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $198K – $319K + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Singapore About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is expanding, and we're looking for a Research Scientist to join our growing Singapore team! In this role, you will drive foundational research on video generation models, taking ownership across the full research cycle and driving post-training research. Furthermore, you'll collaborate closely with data, infrastructure, and adjacent modeling teams to translate research findings into durable model improvements. What You’ll Do: - Build and maintain scalable systems for ingesting, preprocessing, and delivering large-scale video data for model training - Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes - Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs - Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems - Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency - Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns - Build tooling to support deduplication workflows at scale, including near-dedup pipelines over large video corpora - Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance distillation and adversarial distillation, with a focus on preserving or improving generation quality while reducing inference cost - Develop reward models and preference-based fine-tuning pipelines that align video generation quality with human judgments across dimensions such as aesthetics, motion quality, and prompt adherence - Analyze the relationship between base model behavior and post-training outcomes, and work with the foundation model team to inform pretraining decisions accordingly What You’ll Bring: - Strong hands-on experience building or scaling large-scale data systems or pipelines for machine learning workflows - Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent - Familiarity with containerization and container orchestration, including Docker and Kubernetes - Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns - Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV - Familiarity with multimodal or media data, including video, image, text, and audio - Strong research background in post-training methods for large-scale diffusion or flow-based generative models, with deep hands-on experience in distillation across both inference efficiency and quality preservation - Experience with reward modeling or preference-based fine-tuning for generative models, including RLHF, DPO or equivalent alignment approaches - Solid understanding of the interplay between pretraining and post-training, and how base model properties affect distillation and fine-tuning outcomes - Proficiency in Python and modern machine learning frameworks, with a strong preference for PyTorch or JAX - Track record of independent research, with the ability to drive projects from initial idea through experimental validation - Publications at top-tier venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) preferred - Good understanding of the practical challenges involved in building reliable, scalable, and reproducible data workflows for machine learning systems Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Singapore About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is expanding, and we're looking for an ML Engineer to join our growing Singapore team! In this role, you will build and scale systems for ingesting, processing, and delivering large-scale video and multimodal data for model training. You'll own the full pipeline — from raw content to curated, filtered, and training-ready datasets — with a focus on speed, reliability, reproducibility, and cost-efficiency. You'll partner closely with curation and modeling teams to operationalize evolving dataset recipes and iterate on approaches that improve model outcomes. What You’ll Do: - Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes - Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs - Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems - Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency - Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns - Design and implement curation pipelines that determine which video and image content is selected, filtered, and retained for model training, including image-text pair datasets used in joint training regimes - Build and improve VLM-based captioning and metadata generation workflows at scale across both video and image data - Develop and apply quality and aesthetic scoring models, CLIP-based semantic filtering, and other signal-extraction approaches for data selection - Build tooling to support deduplication workflows at scale, including near-dedup and exact deduplication pipelines over large video corpora - Analyze dataset composition, identify quality issues, and iterate on curation logic to improve training outcomes - Define and evolve standards for what constitutes high-quality, training-ready video data across different training regimes What You’ll Bring: - Strong hands-on experience building or scaling large-scale data systems and pipelines for machine learning, including dataset curation, filtering, and quality improvement - Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent - Familiarity with containerization and container orchestration, including Docker and Kubernetes - Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns - Experience with VLM-based captioning pipelines or quality/aesthetic scoring models for video or image data, including curation of image-text pair datasets for joint image-video training - Familiarity with CLIP-based or embedding-based filtering and semantic data selection techniques - Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV, and relevant libraries such as Decord, torchvision, PyTorchVideo, or torchaudio - Proficiency in Python - Strong problem-solving, communication, and documentation skills Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office