Role Description We are looking for Senior Machine Learning Engineers to join a project delivered for our international client operating in the AdTech industry. The client is building a next-generation bidding platform and is undertaking a strategic redesign of its core bidder engine to deliver more intelligent, scalable, and efficient machine learning-driven decisioning capabilities. This role is a great opportunity to work on one of the most critical components of a large-scale programmatic advertising platform. You will contribute to the design and implementation of production-grade machine learning solutions that power real-time bidding decisions while collaborating closely with senior software engineers and platform architects. This is not a research-focused position but an engineering role centered on designing scalable ML systems that solve complex business problems in production. The project combines machine learning, distributed systems, software engineering, and AdTech domain expertise within a collaborative international environment. You will play a key role in defining how machine learning integrates into the bidder architecture while helping shape the future of the client's decisioning platform. - Design and develop machine learning solutions supporting the redesign of the bidder platform. - Collaborate with senior software engineers on bidder architecture and technical design decisions. - Define how machine learning components integrate with the overall bidding platform architecture. - Identify opportunities to replace rule-based decision logic with machine learning-driven approaches. - Participate in architecture reviews, technical design discussions, and engineering planning activities. - Optimize bidder performance through prediction, optimization, and intelligent decision-making models. - Support the implementation of scalable, production-grade machine learning solutions. - Collaborate with cross-functional engineering, analytics, and product teams to deliver high-quality solutions. - Contribute to engineering best practices, model deployment strategies, and operational excellence. - Support performance optimization, monitoring, and continuous improvement of machine learning services. - Mentor engineers by sharing knowledge and promoting machine learning best practices where appropriate. - Depending on seniority, take ownership of technical areas, influence architectural direction, and drive technical excellence across the platform. Qualifications - Extensive commercial experience in machine learning, applied data science, or machine learning engineering. - Proven experience designing or implementing bidder systems for DSP platforms or similar AdTech solutions. - Strong AdTech domain knowledge with a deep understanding of programmatic advertising ecosystems. - Experience building and deploying production-grade machine learning systems. - Strong understanding of prediction, optimization, ranking, and decisioning systems. - Experience contributing to software architecture and system design discussions. - Practical experience working within software engineering organizations and Agile development environments. - Excellent communication and stakeholder collaboration skills. - Strong analytical thinking and problem-solving capabilities. - Ability to balance machine learning innovation with production engineering requirements. - Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Requirements - Work from the European Union region and a work permit are required. Nice to have - Solid software engineering background. - Experience implementing or supporting MLOps practices. - Experience designing distributed or large-scale machine learning systems. - Experience working within real-time bidding (RTB) environments. - Experience collaborating closely with backend engineering teams. - Experience working with cloud-based machine learning platforms. - Deep expertise in DSP architecture. - Experience working with programmatic advertising platforms. - Experience leading technical design and architecture initiatives. - Experience mentoring software engineers, machine learning engineers, or data scientists. - Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. - Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process - CV review - HR call - Interview - Client Interview - Decision

Role Description We are seeking a Storage Engineer with deep expertise across enterprise storage platforms — NetApp ONTAP, Pure Storage, and Ceph — to design, deploy, and operate the storage foundation that supports our compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with strong attention to performance, data protection, and cost. The ideal candidate has operated heterogeneous storage estates at scale, understands the storage characteristics of diverse workloads, and brings strong automation discipline to storage engineering work. Key Responsibilities - Design and operate enterprise storage platforms across NetApp ONTAP, Pure Storage FlashArray/FlashBlade, and Ceph. - Implement and manage SAN, NAS, and object storage across data center and cloud environments. - Build storage solutions for VMware, Kubernetes (CSI drivers), and database workloads. - Design and operate replication, snapshot, and backup strategies for critical data assets. - Implement and operate cloud-tiered storage with FabricPool, CloudVolumes, or equivalent. - Build storage automation using Ansible, Terraform, REST APIs, and platform-native automation. - Operate Ceph clusters including OSD lifecycle, CRUSH maps, RGW, RBD, and CephFS. - Design and operate storage performance management for high-throughput and latency-sensitive workloads. - Implement data protection strategies including ransomware protection and immutable snapshots. - Build storage observability across capacity, performance, and health dimensions. - Lead storage upgrades, firmware lifecycle management, and security patching across the storage estate. - Drive storage cost optimization including deduplication, compression, and tiering strategies. - Troubleshoot complex storage issues spanning array, network, and host layers. - Stay current with storage industry developments and emerging platforms. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - Five or more years of enterprise storage engineering experience. - Deep expertise in NetApp ONTAP or Pure Storage FlashArray/FlashBlade. - Hands-on experience with Ceph at production scale. - Strong understanding of SAN, NAS, and object storage protocols. - Experience with storage integration for VMware and Kubernetes (CSI). - Strong scripting and automation skills using Ansible, Terraform, or REST APIs. - Strong understanding of storage performance, capacity planning, and cost optimization. - Strong troubleshooting skills across storage, network, and host layers. - Excellent communication and collaboration skills. Preferred Qualifications - Vendor certifications (NCDA, NCIE, Pure Storage certifications). - Experience with hybrid-cloud storage replication. - Familiarity with software-defined storage platforms beyond Ceph. - Experience with object storage at petabyte scale. - Exposure to AI/ML workloads with extreme I/O requirements. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] . Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Role Description We are looking for a Site Reliability Engineer to help us evolve and safeguard the infrastructure powering healthcare experiences for millions of patients, all while keeping operational toil to a minimum for the Fabric tech community. What You'll Do - Infrastructure & Kubernetes Orchestration - Designing, deploying, and maintaining Kubernetes (EKS) clusters for enterprise-grade availability. - Optimizing the footprint of infrastructure objects across core AWS services (EC2, RDS, S3) for performance, cost, and reliability. - Evolving a scalable infrastructure management platform, with the right interfaces and guardrails to maximize engineering agency at minimal cognitive load. - Defining golden paths for workload orchestration and integration with infrastructure dependencies, ensuring the right way to do things is also the easiest. - Automation & AI-Assisted Operations - Providing robust, reusable GitHub Actions components to streamline the software delivery lifecycle. - Developing internal tools that replace manual operations with intelligent, autonomous systems. - Exploring and deploying agentic workflows for AI-assisted runbooks that automate complex, error-prone procedures and repetitive tasks. - Observability & Incident Management - Driving the evolution of observability practices by maintaining reliable mechanisms to collect the metrics, traces, and logs needed to meet SLOs. - Leading incident response efforts and facilitating the blameless postmortems that help systematically reduce recovery time (MTTR). - Defining and monitoring platform-level SLIs and SLOs to ensure it consistently meets rigorous healthcare performance standards. - Compliance & Collaboration - Ensuring every piece of infrastructure is continuously compliant with HIPAA and other critical healthcare regulatory requirements. - Reviewing architectural decisions and technical proposals, asking incisive questions to surface technical and organizational risks before they become incidents. - Mentoring engineers across the company on reliability best practices and contributing a clinical-safety perspective to cross-functional design reviews. Qualifications - 5+ years of experience in SRE or Platform Engineering roles managing production environments at scale. - Expert technical depth in AWS (EKS, EC2, RDS, S3) and production-grade Kubernetes management. - Proficiency with modern tooling including Terraform (IaC), Datadog (Observability), Helm (Release Management), and GitHub Actions (CI/CD). - Solid coding and scripting skills in Python, Bash, or Go. - Preferred experience building agentic workflows or AI-assisted tooling to drive operational efficiency. - A "rigor-first" mindset with a dedication to HIPAA-compliant, high-availability architecture. Requirements - The national pay range for this role is $135,000.00 – $160,000.00 per year. - Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. - Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses. - If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. - Expected compensation ranges for this role may change over time. Benefits - Medical, dental, and vision coverage. - Unlimited PTO. - 401(k) plan. - Stock options and bonuses. Company Description At Fabric Health, we are powering boundless care by solving healthcare’s biggest challenge: clinical capacity. We unify the care journey from intake to treatment, using intelligent automation to remove administrative burdens and make care delivery 2-10x more efficient. We are a mission-driven team of brilliant minds trusted by leading organizations including Intermountain Health, OSF HealthCare, SSM Health, and MUSC Health. Our vision is backed by premier investors such as Thrive Capital, GV (Google Ventures), General Catalyst, and Salesforce Ventures.

• Deliver excellent customer and technical service experience to TeamViewer customers, TeamViewer partners and TeamViewer technical community • Report to Escalation Team Manager and support, troubleshoot TeamViewer software and services deployed in TeamViewer customers, partners globally • Investigate new or existing incidents by replicating the issue in house and discussing with peers • Resolve incident from investigation or escalate to third line support • Ensure customer incidents receive appropriate response and activity • Keep communication flowing between TeamViewer and our customers throughout the incident lifecycle • Manage timely resolution of critical incidents • Develop and maintain detailed working knowledge of current and future TeamViewer products and Microsoft technologies • Ensure customers are on the latest version and patch level • Ensure customer readiness and skills transfer through the provision of training, professional service package offerings • Create detailed knowledge Base articles • Participate in TeamViewer User Community • Keep self-skills updated