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Location: Romania Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: India Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: Singapore Workplace: Hybrid 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

· JVM based apps; · Service architecture;

Location: Prague; Limassol Workplace: remote Join Azul at a pivotal moment as we expand the market for Java intelligence and observability solutions that help enterprises optimize, secure and modernize their Java environments.   As Principal Product Marketing Manager, Java Intelligence, you will be responsible for market strategy, positioning, messaging, go-to-market execution and commercial success for key areas of Azul’s Java Intelligence portfolio, including Azul Intelligence Cloud, Azul Optimizer Hub and Payara InSight.   You will shape how customers understand the value of these solutions, influence product direction in partnership with Product Management and Engineering and drive measurable business outcomes. This is a highly visible individual contributor role that requires strategic thinking, strong market instincts and the ability to lead through influence, translating complex technical capabilities into compelling business value for developers, architects, operations teams and enterprise decision-makers.     This role will ideally be based in either Prague, Czech Republic or Limassol, Cyprus   Or remotely in Europe. What You'll Do (aka Responsibilities) You will be responsible for specific areas across Azul Intelligence Cloud, Azul Optimizer Hub, and Payara InSight, working closely with other product managers and cross-functional partners. You will help shape product strategy, roadmap priorities, pricing and packaging, market positioning, and business performance for your areas. You’ll use customer insight, market data, and business results to recommend direction, build alignment, and drive decisions across product, engineering, sales, and marketing. The balance of your focus across the three products will evolve as business priorities change. These products are also closely connected to Azul’s Java runtimes: Optimizer Hub ships as part of Azul Prime, while Intelligence Cloud’s JVM Inventory supports Azul Core Oracle migration initiatives. Your work will therefore influence broader product and runtime priorities, and at times may include direct involvement with Azul Core and Azul Prime. This is an individual contributor role with no direct reports. Success will come through strong product judgment, clarity, data-driven decision making, collaboration, and the ability to influence teams and senior leaders. Responsibilities: Drive business and product outcomes. Define meaningful measures of success for your product areas and use them to guide priorities and decisions. Monitor sales, pipeline, pilot-to-production conversion, adoption, retention, and other relevant product and business metrics. Partner with sales, marketing, engineering, and leadership to understand performance, identify opportunities or risks, and adjust product direction when the data or customer feedback indicates a change is needed. Shape product strategy. Develop and recommend the multi-year direction for your areas, including where the products can differentiate, which customer segments and use cases to prioritize, and where Azul should build, partner, or integrate. Ensure your recommendations reflect customer needs, market dynamics, competitive intelligence, technical considerations, and Azul’s broader enterprise and open-source portfolio. Partner with executive leadership. Report to the VP of Product Management and work closely with the CPO, CEO, CRO, CTO, and other senior leaders. Present product strategies, roadmap recommendations, pricing considerations, customer insights, and business results clearly and credibly. Use evidence to support recommendations, invite constructive challenge, and adapt direction as new information emerges. Translate strategy into roadmap priorities. Turn product strategy into clear, sequenced, and achievable roadmap recommendations. Evaluate priorities and trade-offs across products and initiatives, build alignment with engineering, sales, and marketing, and help teams understand both what is being prioritized and why. Communicate roadmap direction effectively to internal stakeholders and customers while balancing customer needs, business opportunity, technical feasibility, and speed of execution. Develop pricing and packaging recommendations. Help shape how Intelligence Cloud is priced, packaged, and metered across Java environments of varying sizes and complexity, how Optimizer Hub is positioned and packaged as part of Azul Prime, and how Payara InSight is packaged for Azul Payara customers. Develop and test pricing models, gather feedback from customers and the field, and partner with finance, sales, and leadership to refine and implement recommendations. Lead inbound product management activities. Partner closely with engineering throughout the product development lifecycle, from requirements and design reviews through implementation decisions and release readiness. Lead customer discovery and requirements sessions, translate customer problems into clear product needs, and provide direction on UX and UI priorities. For areas involving Optimizer Hub, consider the operator experience of installing, sizing, and running the product on Kubernetes. Contribute to customer-facing technical documentation and knowledge-base content, deliver compelling product demonstrations, and continually evaluate the usability of the product. Lead outbound product management activities. Partner with marketing on positioning, product launches, sales enablement, competitive differentiation, and customer-facing content. Participate in customer and prospect conversations, support strategic deals and escalations, and conduct ongoing market and competitive research. Help ensure product messaging resonates with developers, platform teams, technical decision-makers, and executive buyers. Build technical credibility. Develop a strong working understanding of the technologies behind the products and engage effectively with engineering teams on product and technical trade-offs. You do not need to be a JVM internals expert, but you should understand JVM architecture and operating principles, including JIT compilation and warm-up, well enough to have substantive conversations with engineering and translate technical capabilities into meaningful customer and business value. What you bring (aka Experience, Skills) 8+ years experience in product management, including several years owning a product or product line end to end — strategy through launch through revenue. Track record shipping enterprise SaaS in an adjacent market: application performance monitoring, application security, observability, optimization, systems management, or log analytics. Fluency with AI tools and experience operating in an AI-first product management organization — you use them in your daily product work and have a view on where they help and where they don't. Deep technical fluency generally — you can read an architecture diagram, follow an engineering debate, and ask the question that changes the answer. Demonstrated ownership of pricing and packaging for a technical product, including the messy cross-functional work of getting a model approved and into market. Understanding of DevOps engineers, platform engineers, and developers as the key influencers in an enterprise sales cycle. Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes. Excellent written and verbal communication in English — equally effective with an engineer and with a Fortune 100 CIO. Comfortable in a fully remote, async, multi-time-zone setup: self-directed, and a strong writer because writing is how decisions get made here. Comfortable in a startup-shaped environment where bringing order to chaos is part of the job. Nice to have Hands-on software or quality engineering background — you have written code and debugged production systems. Experience with open source communities. Familiarity with cloud cost optimization: how compute is provisioned, monitored, and optimized. Experience taking a new product from early traction to a durable revenue line. Working knowledge of Java and Java development tooling. Familiarity with Jakarta EE application servers (Payara, WebLogic, WebSphere, JBoss) and OpenTelemetry. Experience working across more than one product at once, especially products at different stages or sold through different motions. Experience with infrastructure software that customers deploy and operate themselves, not just SaaS. What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Crusoe is looking for a Senior Customer Support Engineer Managed Inference to provide cloud technical support and resolve customer issues.

Location: Limassol, Cyprus We are looking for a DevOps Engineer to run reliable, secure infrastructure with AI agents as the first line of SRE. Key Responsibilities: • Kubernetes, CI/CD and infrastructure as code, written and reviewed with AI coding agents. • Build and run MCP servers that give agents safe access to Kubernetes, AWS, logs, metrics and databases (read-only by default). • Agentic SRE: AI triage of alerts, root-cause analysis across logs / metrics / traces, auto-drafted incident timelines and postmortems. • Turn runbooks into agent-executable workflows, with human approval for risky actions. • Monitoring, alerting and on-call; database ops, backups and DR. Required Experience: • 3+ yrs DevOps / SRE. • Kubernetes, Terraform, AWS. • Observability stack: Prometheus / Grafana, Loki / ELK or similar. • Daily use of AI agents for infra work. • Hands-on with MCP: has configured and used MCP servers for infra / observability tools. • Security mindset for agent access: least privilege, audit logs, secrets handling. • Has built a custom MCP server or ops agent. • Hands-on with AI SRE tools (k8sgpt, HolmesGPT, AI features in Datadog / PagerDuty / incident.io). Nice to Have: • OpenTelemetry. • PostgreSQL / Aurora operations. By joining us, you can expect: A unique opportunity to build a career in a global, fast-growing company. An attractive remuneration package, based on qualifications and experience. Continuous learning and development opportunities. Company-wide events and team activities, fostering a fun and supportive work environment. Wolt monthly allowance. Snack Heaven! Our fully equipped kitchen offers free snacks, fruits, and beverages. Medical and wellness app, supporting both mental and physical well-being! Apply now and let’s achieve success together Apply at https://aloplay.bamboohr.com/careers/126?source=aWQ9MTg%3D to become a member of our amazing team! We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.

Location: Cyprus; Georgia; Poland; Spain; Serbia; Portugal We are looking for an experienced Enterprise Architect to own the overall technical architecture of the entire GoMining ecosystem, not just individual products. Your scope covers the architecture of all key domains (Payments, Cards, Custody, Wallet, Mining, and Core Platform) and the connections between them. You will ensure that our products, platforms, infrastructure, and financial services operate as a scalable, secure, reliable, and interconnected ecosystem. This is a highly influential role that requires both strategic architectural vision and deep hands-on engineering expertise. You will shape the target architecture, define technical standards, manage architectural dependencies, make critical technical decisions, and help teams choose the right path. You will work closely with the CTO, engineering leadership, and product teams. Proven experience in FinTech, banking, payments, or cryptocurrency platforms is mandatory. Key Responsibilities Own and continuously evolve the end-to-end architecture of the GoMining ecosystem. Define the target enterprise architecture, architectural principles, standards, and long-term technology roadmap. Ensure architectural consistency and seamless integration across financial products, payments, wallets, custody, cards, mining services, and core platform infrastructure. Design scalable and resilient distributed systems capable of supporting millions of users and high transaction volumes. Establish clear architectural boundaries, service ownership, integration patterns, and data flows across multiple engineering teams. Drive critical architecture decisions involving microservices, APIs, event-driven systems, data platforms, and cloud infrastructure. Identify and eliminate architectural bottlenecks, technical debt, scalability limitations, and system dependencies. Lead architecture reviews and provide technical guidance to engineering teams. Collaborate with the CTO, Engineering Leads, Product Leaders, and business stakeholders to align technical architecture with business strategy. Evaluate new technologies, architectural approaches, and infrastructure solutions. Ensure security, reliability, observability, performance, and operational resilience are embedded into architectural decisions. Remain deeply involved in technical discussions, solution design, and implementation reviews. Requirements 8+ years of software engineering experience, including 3+ years in enterprise, platform, or solution architecture roles. Mandatory experience architecting systems within FinTech, banking, payments, digital banking, or cryptocurrency companies. Proven experience designing architecture across multiple interconnected products, services, or business domains. Strong software engineering background, ideally as a Senior / Lead / Principal Engineer. Deep understanding of distributed systems, microservices, event-driven architecture, API design, and integration patterns. Experience designing high-load, fault-tolerant, and mission-critical systems. Strong knowledge of cloud infrastructure (AWS, GCP, or Azure). Understanding of financial transaction processing, data consistency, security, and regulatory requirements. Ability to define long-term architectural strategy while remaining technically hands-on. Experience driving architectural decisions across multiple engineering teams. Excellent stakeholder management and communication skills. Nice to have Experience with cryptocurrency exchanges, blockchain infrastructure, digital wallets, or custody solutions. Experience with card issuing, payment processing, banking integrations, or financial ledgers. Experience building or transforming complex multi-product financial ecosystems. Familiarity with PCI DSS, KYC, AML, and financial compliance requirements. Experience scaling platforms to millions of users. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Brussels, Belgium We currently have a vacancy for an Operations Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. 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: Architect and implement secure, interoperable solutions using standard frameworks and design patterns, integrating application and infrastructure to achieve scalability and efficiency; Develop robust, vendor-agnostic data platforms for AI and machine learning workloads, optimising multi-cloud environments for performance and flexibility. Design of structured MLOps pipelines automating and streamlining the models’ lifecycle, from development to serving; Design security architectures that protect infrastructure and applications, aligning with risk management strategies and regulatory data protection and security standards; Continuously assess and optimise system performance and scalability using advanced metrics and predictive analytics; Collaborate with cross-functional teams, including AI developers, business analysts, and IT operations, to ensure architecture aligns with business objectives and technological capabilities; Establish CI/CD pipelines to support rapid application development and deployment in dynamic environments, utilising infrastructure-as-code and configuration management tools; Ensure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing, and continuous benchmarking. Requirements University degree in IT combined with relevant IT professional experience of at least 10 years; Expertise in containerisation and orchestration using Docker and Kubernetes for scalable application deployment; Expertise in network architecture design, particularly integrating distributed systems with hybrid cloud solutions and including management of network policies at cluster level; Significant experience with managing and optimising data-intensive distributed systems for processing, querying and storing; Comprehensive experience with relational and non-relational databases, optimising them for high-volume transaction processing (e.g., Oracle, PostgreSQL, OpenSearch, MongoDB) Proficiency with advanced monitoring tools like Prometheus and Grafana to enhance infrastructure monitoring and real-time alerting; Experience with advanced load balancing solutions and caching technologies (e.g. Redis) to support high-traffic applications; Knowledge of security and vulnerability scanning tools (e.g., OWASP, SonarQube), implementing secure coding practices including robust encryption and identity management; Profound knowledge of version control systems like Git and integration platforms such as Jenkins, GitLab CI; Proficiency in distributed streaming and message queue technologies such as Kafka and RabbitMQ to efficiently manage data flows and support scalable data processing architectures; Proficiency in using infrastructure-as-code like Terraform and AWS CloudFormation; Good knowledge of the GitOps framework and tools that follow its prescription to manage deployments and achieve the desired application state (e.g., ArgoCD); Familiarity with configuration management tools like Ansible for comprehensive system administration; Familiarity with AI-powered code assistants (e.g., Amazon Kiro, GitHub Copilot) for accelerating coding processes and enhancing developer productivity; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: ( 158836/11/2026). 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 Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, 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 authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Разрабатывать и поддерживать политики авторизации с использованием языка политик Cedar. Создавать, тестировать и валидировать определения политик для корпоративных приложений и сервисов на базе ИИ.

Location: AZ_Mesa_HQ DevOps Engineer Mixed-Cloud Platform & Release Engineering Position Overview We are seeking a skilled DevOps Engineer to help build, operate, and continuously improve the CI/CD pipelines and infrastructure that support our mobility products. This is a hands-on individual contributor role responsible for the reliability, security, and velocity of build and release automation across a hybrid environment that includes Amazon Web Services (AWS), Microsoft Azure, and on-premises data centers. You will work alongside a team of DevOps engineers, SREs, and release engineers, partnering closely with Software Engineering, QE, Architecture, and Information Security to help hundreds of microservices ship safely multiple times per day. Success in this role is measured by your contributions to deployment frequency, change failure rate, mean time to recovery (MTTR), platform availability, and the security posture of the delivery pipeline. Essential Responsibilities CI/CD & Release Engineering Build, maintain, and continuously improve CI/CD pipelines supporting hundreds of microservices and applications, including pipeline-as-code standards, build artifacts, container images, and deployment automation across Azure DevOps and GitHub Actions. Contribute to measurable improvements in DORA metrics: deployment frequency, lead time for changes, change failure rate, and time to restore service. Implement and maintain release patterns (blue/green, canary, feature flags), rollback procedures, and pre-production validation gates. Partner with QE to embed automated testing — unit, integration, contract, performance, and security — into pipelines so that quality is enforced before production. Hybrid Cloud & Infrastructure Operations Build and operate infrastructure across AWS, Azure, and on-premises data centers, including compute, networking, storage, identity, and connectivity between environments (VPN, ExpressRoute, Direct Connect, peering, and transit). Manage and support Kubernetes (EKS, AKS, and on-prem clusters), container registries, service meshes, ingress controllers, and supporting middleware. Write and maintain Infrastructure-as-Code (IaC) using Terraform and platform-native tooling (CloudFormation, ARM/Bicep); participate in drift detection, peer review, and policy-as-code on all infrastructure changes. Support capacity planning, cost optimization (FinOps), and rightsizing efforts across cloud and on-prem footprints. Observability, Reliability & Incident Response Build and maintain the observability stack — metrics, logs, traces, and synthetic monitoring — and help define SLOs, SLIs, and error budgets for critical services. Participate in on-call rotations and act as an incident responder for production events, contributing to root-cause analysis and tracking corrective actions to completion. Support chaos engineering exercises, game days, disaster recovery testing, and business continuity exercises to validate the resilience of hybrid systems. Security & Compliance Partner with Information Security to implement shift-left security practices: SAST, DAST, SCA, secrets scanning, container image scanning, and IaC policy scanning in every pipeline. Manage secrets, certificates, and identity infrastructure across cloud and on-prem environments (AWS Secrets Manager, Azure Key Vault, IAM, RBAC). Help maintain audit readiness for SOC 2, PCI-DSS, and other regulatory frameworks applicable to mobility and payments processing by producing evidence of pipeline controls, access management, and change governance. Cross-Functional Collaboration Partner with Software Engineering to ensure new services are built with pipeline, observability, and infrastructure templates from day one — not bolted on later. Work with Architecture to align platform direction with the broader technology roadmap, including migrations between legacy and modern platforms. Document runbooks, pipeline standards, and infrastructure patterns so that knowledge is shared across the team. Respond to system issues, participate in high-priority incident calls, and support emergency activities outside of standard hours as needed. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience. 3+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. Hands-on experience operating production systems in at least one of the following: AWS, Azure, or on-premises data centers, with an interest in developing depth across a hybrid environment. Experience with CI/CD platforms, specifically Azure DevOps and GitHub Actions (or comparable: Jenkins, GitLab CI, CircleCI), including writing and maintaining pipeline-as-code. Working experience with Infrastructure-as-Code (Terraform preferred; CloudFormation, ARM/Bicep, Ansible, Puppet, or Chef a plus). Experience with container orchestration (Kubernetes — EKS, AKS, or self-managed) and container build/registry workflows (Docker, ACR, ECR, Harbor). Proficiency in scripting and automation in one or more of: Python, Bash, PowerShell, Go, or TypeScript/JavaScript. Working knowledge of Git workflows, branching strategies, and code review practices. Familiarity with observability tooling such as Datadog, New Relic, Splunk, Prometheus, Grafana, ELK, or Azure Monitor / CloudWatch. Willingness to participate in on-call rotations and respond to production incidents. Clear, concise written and verbal communication skills. Preferred Qualifications Experience in mobility, transportation, tolling, parking, or other regulated, high-volume transaction-processing environments. Exposure to compliance regimes such as SOC 2, PCI-DSS, ISO 27001, or FedRAMP. Hands-on experience with service mesh, API gateways, or zero-trust networking patterns. Experience with FinOps practices and cloud cost management tooling (CloudHealth, Apptio, native cost explorers). Experience migrating workloads between on-prem and cloud, or between cloud providers. Relevant certifications: AWS Solutions Architect / DevOps Engineer, Azure Administrator / DevOps Engineer Associate, Certified Kubernetes Administrator (CKA), HashiCorp Terraform Associate. Familiarity with data and AI/ML platform operations (model registries, feature stores, ML pipelines). What Success Looks Like in the First 9 Months Within 90 days: ramped up on the team's CI/CD platform, infrastructure, and observability stack across AWS, Azure, and on-prem; owning at least one pipeline or service area independently. Within 6 months: contributing measurable improvements to deployment frequency and change failure rate for owned pipelines; actively participating in the on-call rotation and incident response. Within 9 months: recognized as a go-to contributor for at least one platform domain (CI/CD, cloud infrastructure, observability, or security); mentoring newer engineers and contributing to team standards. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

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 We’re looking for a Software Engineer to join our Turso core database team and help bring forward the future of agentic databases. Turso is both an Open Source database that replaces SQLite—with an ongoing project to also support the Postgres interface—and a Cloud offering where users can create databases on demand. You’ll work closely with customers and other teams at Supabase to build the future of what databases look like in a world where users and agents are creating millions of databases a day. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building database technology tools that scale to billions. WHAT YOU’LL BE RESPONSIBLE FOR - Driving the progress of the Turso Open Source database, in particular the Postgres compatibility layer. - Making sure code works, and never breaks, and putting the systems and guarantees in place for that to happen. - Maintaining the Turso Cloud operations, including the Cloud API and data plane operations. - Improving the scalability of the Turso Cloud operations to support a 100x larger number of databases YOU MIGHT BE A GOOD FIT IF YOU - Have written databases before, and/or other high-stakes low-level systems like Hypervisors, OS Kernels, storage devices, etc. - Have experience working with remote teams and Open Source communities. - Have a passion and experience for correct systems that work, and have the experience in the tools to make that happen: Deterministic Simulation Testing, formal verification methods, fuzz and differential testing, etc. - Have experience deploying, operating and debugging large scale software systems in production in cloud environments such as AWS & Kubernetes - Have experience improving the observability, reliability and performance of complex cloud systems. - Are comfortable working in Rust. - Are comfortable with LLM-assisted development and evals. - Are comfortable working with Embedded databases. - Communicate clearly across both technical and non-technical audiences. - Are energized by solving real-world problems for developers - Are comfortable navigating ambiguity and moving quickly 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: New York City Workplace: Hybrid About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. ABOUT THE TEAM AND ROLE: Pinecone is looking for a full-stack engineer to bring a new level of visibility, control, and trust to our product experiences. From cost metrics and spend alerts to interactive usage dashboards, we’re looking for a product-focused engineer who will deliver transparent and accurate insights to our customers. As a member of the Experience Platform team, you’ll have direct ownership over the billing, management, and authentication interfaces that we need our customers to understand and trust. You understand the responsibility and care this type of work requires, while also moving quickly to match Pinecone’s rapid growth. You’ll do this by working closely with product, design, and other engineering teams to identify user and system needs and build the right thing, at the right abstraction level, at the right time. RESPONSIBILITIES: - Shape our product experience. Influence the rollout of products, propose and build new features, and advocate for experiences that will build confidence with our customers. - Ship end-to-end experiences across API, SDK, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it. - Own integrations with billing systems and vendor APIs, designing for resiliency against outages, schema drift, and inconsistent data. - Create observable, auditable systems with monitoring, alerting, and verification mechanisms that give leadership and customers confidence in the numbers. - Bring AI-assisted development practices to the team — use the best tools available and help establish patterns that let a small team move at a pace that shouldn't be possible. - Partner with finance, product, and design to translate business requirements into scalable technical solutions, and push back when the abstraction level isn't right. REQUIREMENTS: Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, interfaces, observability, and our product experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box. In exchange, we’ll make sure you’re set up for success with mentorship and technical guidance. You should have: - At least 2 years of software engineering experience - A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease - Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow - Proven ability to design and deliver APIs for a rapidly scaling product surface - Proficiency building web interfaces with React or similar - Experience with at least one major cloud provider (AWS, GCP, Azure) - Strong intuition for what makes APIs easy for both humans and agents to use correctly Bonus points for: - Experience at a SaaS company with usage-based or consumption pricing models - Experience building billing-specific features, such as usage dashboards or cost reporting - Strong familiarity with a compiled language like Rust, Go, or Java - Experience integrating with third-party financial APIs and building defensively against inconsistent or delayed data - Experience with queueing and streaming technologies such as Kafka, Kinesis, or Pub/Sub Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: Remote, Global Workplace: Remote ABOUT THE ROLE We’re looking for a GRC Analyst to join our Compliance & Security team and help make risk management, audit and compliance a continuous part of how Supabase runs. You’ll work closely with engineering, security, IT, and legal to help us define our risk tolerance, keep our compliance programs (including SOC 2 and ISO/IEC 27001:2022) current, test controls on a rolling basis, and answer customer and vendor security reviews quickly and accurately. 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 - Run risk assessments across the company and major product changes. Score likelihood and impact, propose treatments, and bring the results to leadership to inform risk tolerance decisions. - Maintain the risk register, track remediation to closure, and report status to compliance and security leadership. - Monitor controls on a rolling basis, using automated tests where they exist and manual testing where they don’t. Triage failures, prioritize by the risk register, and align each finding with an owner and a due date. - Support internal audit, whether performed by an external partner or in-house: propose scope from the risk register, supply evidence, and track findings to closure. - Run day-to-day operations for our compliance programs: evidence collection, control owner follow-up, and readiness ahead of each audit period. - Extend continuous control validation beyond what our compliance platform covers. Build custom tests with AI coding tools, work with engineering and IT to pull evidence from source systems instead of collecting screenshots, and check that each test proves what the control requires. YOU MIGHT BE A GOOD FIT IF YOU - Have 3+ years of experience in GRC, internal audit, or security compliance at a SaaS or technology company - Are comfortable working with SOC 2 and ISO 27001 controls, a compliance platform such as Drata, Vanta, and evidence from systems like AWS, GCP, Google Workspace, and Okta - Communicate clearly across both technical and non-technical audiences - Have experience in async or globally distributed teams - Are energized by solving real-world problems for developers - Are comfortable navigating ambiguity and moving quickly 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 Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Capacity Modeling team ensures Affirm can safely handle forecasted traffic—especially during peak sales events—by translating demand forecasts into concrete, testable capacity plans. They build and maintain statistical capacity models that map traffic inputs (e.g., checkout volume, app opens, batch/job activity) to resource outputs (CPU, memory, connections) and then convert those forecasts into recommended capacity settings such as pod counts, HPA ranges, and/or infrastructure sizing changes across regions and environments. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience supporting scale up and down of large scale sales event such as Prime Day, Black Friday Cyber Monday, or other sales holidays · You have tuned autoscaling, CPU/Memory, and multi-threading for compute type workloads. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Base Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 CAD. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: United States At Reltio®, an SAP company, we believe data should fuel success in the enterprise AI era. Our context intelligence solution turns fragmented data into trusted, connected context so AI agents and systems can act with expert-level judgment at the scale of your business. Our open-by-design SaaS solution harmonizes, unifies, and enriches structured and unstructured information, giving organizations 360-degree views of core data in milliseconds to any application, user, or AI agent. Trusted by the world’s largest enterprises across life sciences, financial services, healthcare, and technology, Reltio helps organizations fuel frictionless operations, drive innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Principal Enterprise Architect is a senior individual contributor within Solutions Consulting, providing technical leadership for Reltio’s most complex and strategically significant global sales engagements. This role fuses world-class enterprise architecture depth with visionary pre-sales leadership on Reltio's most critical, complex, and innovative engagements globally. Reporting into Presales, this individual partners exceptionally closely with Product Management, Field CTO’s, Engineering, and the Sales Account teams.  This role operates as a two-way bridge between the field and the roadmap at a strategic level, carrying customer and competitive intelligence into product direction and bringing emerging platform capabilities into the market ahead of competitors. Leveraging deep expertise in master data management, data unification, AI, and enterprise architecture, this individual engages C-suite executives like CDOs, Chief Architects, CIOs, and CTOs  at the world's leading organizations to architect how Reltio, as part of SAP Business Data Cloud, transforms their most complex enterprise data landscapes. Beyond winning landmark deals, the Principal Enterprise Architect defines industry best practices, shapes Reltio's technology vision through their partnership with Product Management, and mentors the next generation of technical leaders within Reltio. They are an influential technical voice in the company, connecting what the field sees to what the solution becomes. Job Duties and Responsibilities: Strategic pre-sales and enterprise architecture Serve as a principal technical advisor for Reltio’s most complex and strategically significant global sales opportunities, independently defining architectural approaches and resolving critical technical issues in partnership with account teams. Define and maintain reusable enterprise reference architectures and integration blueprints, including SAP integration patterns and SAP Business Data Cloud alignment. Partner with Solutions Consulting, Product Management, and Engineering to drive their adoption and inform longer-term solution direction. Co-create and evangelize transformative solution visions with C-level executives, demonstrating how Reltio unlocks unprecedented business value through advanced data unification, AI, and the Autonomous Enterprise. Set the technical objectives, success criteria, and architectural approach for proof-of-value engagements with strategic (lighthouse) customers, resolving novel challenges where requirements or product capabilities are evolving and translating validated approaches into reusable field guidance. Own the technical strategy and architectural narrative on landmark, multi-year, multi-million-dollar pursuits within a MEDDPICC-driven sales process. Define success measures with Solutions Consulting and Product leadership and evaluate the impact of strategic architecture initiatives, including technical success in priority pursuits, adoption of reusable solution patterns, and validated customer insights that inform product decisions. Product Management partnership (core to this role) Establish a structured process with Product Management and Field CTOs to synthesize customer, competitive, and architectural insights into recommendations for product strategy and roadmap prioritization. Partner with Product Management on the highest-stakes pursuits, co-developing solution approaches for capabilities that are emerging, in early release, or on the roadmap. Validate and pressure-test pre-release and early-access capabilities in demanding deal contexts, feeding practical, architecture-grounded insight back to product and engineering. Lead cross-functional resolution of strategic architectural issues spanning Solutions Consulting, Product Management, and Engineering, securing alignment on recommendations that support long-term customer and business objectives that drive Reltio's long-term technology vision and market leadership. Steward strategic design-partner and co-innovation relationships between marquee customers and Product Management. Industry leadership, enablement, and influence Define and champion innovative solution patterns, reference architectures, and best practices that set the standard across the Solutions Consulting organization and the broader industry. Develop the architectural capabilities of senior Solutions Consulting ICs, including Principal Solutions Consultants, through mentorship, design reviews, and reusable guidance to strengthen technical excellence across the organization. Represent Reltio as a leading industry expert and thought leader at prominent conferences, executive councils, with industry analysts, and in critical publications and speaking engagements. Influence market perception and competitive positioning through deep technical insight and strategic communication. Build and nurture strategic technical alliances and partnerships that extend Reltio's reach and capabilities. Skills You Must Have: Minimum 15 years of pre-sales, solution architecture, or enterprise architecture experience in enterprise software, with an extensive, demonstrable track record on highly complex, strategic data unification, AI, and platform engagements; Bachelor's degree in Computer Science, Engineering, or experience in a deeply related technical field. Recognized as a leading expert in enterprise data architecture, master data management, cloud-native technologies, and advanced AI/ML applications, with the credibility to advise Chief Architects and CDOs. Proven ability to design and defend end-to-end solution architectures within the most complex, heterogeneous enterprise environments. Exceptional ability to engage, influence, and build trusted advisor relationships with CEOs, CIOs, CDOs, and other C-suite executives at Fortune 500 companies. Proven experience shaping and winning landmark, multi-year, multi-million-dollar enterprise software deals on a global scale. Deep experience working directly with Product Management, translating field and customer insight into product direction and bringing roadmap awareness into strategic engagements. Deep expertise in enterprise data platforms, master data management, and data unification, with the ability to develop expert-level command of Reltio’s platform and architecture. Ability to evaluate emerging technology trends and translate them into practical recommendations for customer architecture, product direction, and field strategy. Superior communication, presentation, and storytelling skills, capable of inspiring diverse, high-level audiences. Demonstrated ability to lead complex technical initiatives through influence, align cross-functional teams, and mentor senior technical professionals without direct reporting authority. Demonstrated experience advising senior customer leaders on enterprise data strategy and long-term transformation roadmaps. Skills That Are Nice to Have: Ph.D. or Master's degree in Computer Science, AI, Data Science, or a related advanced technical field. Hands-on architectural expertise and at least one certification with a major cloud platform (AWS, GCP, Azure). Familiarity with the SAP ecosystem and SAP Business Data Cloud, and with integrating third-party platforms into SAP landscapes. Prior experience in a product-facing, field-CTO, or design-partner role that formalized the presales–product feedback loop. A frequent event speaker or author of content in data unification, AI, distributed systems, or enterprise architecture. Proven ability to invent and prototype novel solutions to previously unsolved business or technical challenges. Ability to build productive relationships with industry experts, technology partners, and customer architecture leaders. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $230,000 — $310,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Europe; France; United Kingdom; Spain; Germany; The Netherlands Workplace: Remote The Learning Team at ClickHouse is growing fast as more and more users discover the power of ClickHouse and its diverse use cases. As part of that growth, we want to ensure our hands-on training experience is best in class. We are looking for someone to accelerate the way we build technical content and to bring AI-powered tools and agents directly into the learning experience for our students. You will own the infrastructure that powers releases, certification exams, hands-on courses, and learning environments. You will also lead GenAI initiatives to create content more effectively and to build a broader AI-powered user experience. A TYPICAL DAY AS A CLICKHOUSE TECHNICAL CURRICULUM DEVELOPER, PLATFORM: - Manage the infrastructure that supports our Content as Code - New content PRs are thoroughly tested and easy to preview - Merged PRs are automatically released - Courses are periodically checked to ensure they are working properly - Courses are easily updated with new features - Lead the Learning team’s adoption of AI and GenAI: - build tools, prompts, and workflows to go from topic to course faster - Design and build AI-powered agents and tools for students - Evaluate new AI/GenAI capabilities and models as they emerge - Write and maintain provisioning and grading scripts for hands-on certification exams - Debugging issues that affect learners, instructors, and exam candidates - Building and running observability for everything learning: usage, failures, catalog health, dashboards, and alerts - Building and running analytics for user activity across all learning tools - Design and maintain hands-on lab environments across all training formats REQUIREMENTS: - 5+ years of experience with technical curriculum development on databases and/or distributed systems - 3+ years of experience in a technical education infrastructure or DevOps role (e.g. building and operating lab or sandbox environments) - Experience with machine learning applications and/or GenAI focused on content generation, developer tooling, and AI agents - 3+ years of experience building certification infrastructure including grading scripts for hands-on assessments - Strong scripting and automation skills, including experience with infrastructure as code, CI/CD pipelines, and GitHub - A self-motivated attitude that provides you with the desire and determination to complete projects in a fast-paced startup environment - Ability to learn new technologies quickly and effectively - Excellent communication skills, including the ability to write clear runbooks and technical documentation - You have a high level of responsibility, ownership, and accountability BONUS POINTS: - Experience with SQL - Experience with ClickHouse database - Experience with one or more Cloud Service Providers such as AWS, GCP, or Azure - Ability to work cross-functionally amongst engineering, support, product, and development teams - Technical degree (e.g., Computer Science or related field) YOU'LL LOVE THIS ROLE IF: - You thrive working at the intersection of engineering, AI, and education, building systems that directly impact how people learn - You are self-driven, curious, and eager to continuously learn and grow - You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems 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 eligible team member who joins our company receives equity. - 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.

Flowdesk is looking for a DeFi Engineer to build and support real-time DeFi integrations, booking, reconciliation, reporting, and APIs.