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Location: Salt Lake City, Utah, United States About the Role iCapital is looking to a hire a Vice President to join the Platform Infrastructure team. This team plays a critical role in keeping the production and development environments running smoothly and securely.  This role will utilize advanced cloud capabilities to facilitate Platform Infrastructure strategy of market agility and lean operating principles with a strict focus on quality to meet the ever-growing demands of clients. The ideal candidate is highly collaborative, creative, intellectually curious and passionate about forming and implementing cutting-edge cloud computing capabilities. As a Platform Engineer, this individual will be wearing multiple hats in a highly visible role interacting with all aspects of the business. Responsibilities Build highly available solutions across the entire SDLC stack with a primary focus on an internet facing fintech site. Coordinate the relationship between the Platform Infrastructure team and the Information Security Team in remediating security issues related to platforms, CI/CD pipelines, or development tools. Contribute to security best practices for shifting security left and establishing a strong security culture within the DevOps and Platform Infrastructure team. Develop and maintain tools to support the development environment on MacOS and Linux tool environment with focus on improving developer productivity. Maintain site reliability with a focus on building highly scalable systems integrating resiliency and high availability at all levels. Develop software and tooling to secure and automate cloud infrastructure building software delivery capabilities with fully automatic workflows. Design and operate a Kubernetes environment for container management and orchestration. Qualifications 6+ years of DevOps or SRE experience with 4+ years of AWS experience 6+ years of CI/CD pipeline development in GitLab, GitHub, or similar frameworks 3+ years of experience with security best practices in AWS, including remediating SecurityHub findings 3+ years of experience with DevSecOps tools, including SAST tools, DAST tools, and SCA tools Microservices (Docker, Kubernetes) experience in a production environment is strongly desired Strong Linux OS-level and command-line and scripting knowledge and configuration management principles Working knowledge of databases such as MongoDB, Postgres, and DynamoDB Coding beyond simple scripting with strong opinions on maintainable and reusable code in Python, Ruby or Java is desired Experience with computer provisioning on a Cloud based platform using Terraform or Cloud formation Exceptional analytical skills and able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions Experience building a Microservice based architecture Strong written and verbal communication skills Able to design and implement complex, but easily managed, automated infrastructure A desire to share, teach and learn as part of a team Expert level knowledge of networking Experience with distributed systems design, maintenance, and hands-on troubleshooting Experience with debugging issues with the FIX protocol to include maintaining and establishing fix sessions and or session management + order routing Experience in system tuning and performance testing AWS certifications are a plus Benefits The base salary range for this role is $150,000 to $170,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Baku, Azerbaijan The Senior Process Engineer is responsible for leading process engineering activities for oil & gas projects across all phases, from FEED through detailed engineering and commissioning. The role requires strong technical expertise, hands-on project execution experience, and solid knowledge of GCC regulatory and operational standards. Key Responsibilities Lead process engineering design for oil & gas facilities (onshore/offshore) Develop and review process design basis, PFDs, P&IDs, and process calculations Perform simulations, heat & material balance, and equipment sizing Ensure compliance with international codes, standards, and GCC client requirements Participate in HAZID, HAZOP, SIL, and design review studies Coordinate with piping, mechanical, electrical, instrumentation, and civil teams Review vendor documents and provide technical clarifications Support construction, commissioning, and start-up activities Mentor junior process engineers and provide technical guidance Qualifications & Experience Bachelor’s degree in Chemical Engineering or equivalent Minimum 15+ years of overall process engineering experience in oil & gas At least 5 years of oil & gas project experience within the GCC region Strong experience working in EPC / PMC environments Technical Skills Process simulation tools (HYSYS, Aspen Plus, UniSim, etc.) Strong knowledge of oil & gas process systems and unit operations Familiarity with international codes and standards (API, ASME, ISO) Experience in refineries, gas processing, LNG, or upstream facilities

Location: Baku, Azerbaijan The Senior Piping Engineer will lead the piping engineering activities for complex oil & gas projects, providing technical authority across all project phases including FEED, detailed engineering, procurement, construction, and commissioning. The role requires extensive industry experience, strong leadership, and deep knowledge of international piping codes and project execution practices. Key Responsibilities Lead and manage piping engineering deliverables from FEED to commissioning Develop piping design basis, specifications, and piping classes Review piping layout, stress analysis, and support design Ensure compliance with ASME, API, ISO, and client standards Coordinate with multidisciplinary teams and interface with clients/vendors Support construction, fabrication, and commissioning Mentor and guide piping engineers and designers Qualifications & Experience B.E./B.Tech in Mechanical Engineering 15–20 years of piping engineering experience in oil & gas Strong EPC/PMC project execution experience Experience in onshore/offshore, refinery, LNG, or gas processing projects Skills Piping design, materials, and stress analysis CAESAR II / AutoPIPE, PDMS / E3D / SP3D / AutoCAD Strong leadership and communication skills

Location: EMEA; Denmark; Portugal; France; United Kingdom; Spain; Germany; Italy; Sweden; The Netherlands Workplace: Remote About the team The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? - Build a cutting-edge cloud-native database platform on top of the public cloud. - Work on our in-house Kubernetes operator to support seamless infrastructure management. - Improve the metrics pipeline and build systems to generate better statistics and recommendations. - Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. - Architecting and building a robust, scalable, and highly available distributed infrastructure About you: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Production experience with programming languages like Go, C++ or Java - You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). - Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). - You are passionate about solving data problems at Scale. - Experience working with distributed systems - You have excellent communication skills and the ability to work well within and across engineering teams. #LI-Remote   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new 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.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. The successful candidate will join QRT’s established Data Centre Operations team. Working closely with Network Engineering and wider infrastructure teams, you will help deploy, maintain and support the physical technology infrastructure used across QRT’s global data centre locations. Your Future Role within QRT Support the physical installation, maintenance and decommissioning of servers, network switches and other data centre equipment. Rack, stack, cable and label equipment to a consistently high standard. Install and manage copper, fibre and power cabling, including patching between devices and patch panels. Carry out hardware break-fix activities, including replacing failed components, cables, optics, power supplies and other parts. Assist with new equipment deployments, upgrades, capacity expansions and site decommissions. Complete basic hardware checks and troubleshooting on servers, switches, power equipment and connectivity. Work from build documents, rack elevations, patching schedules and technical instructions. Support hardware deliveries, stock management, spare parts, equipment movements and site logistics. Work with colocation providers, vendors, remote hands and onsite engineers to complete planned and reactive work. Help maintain high standards of data centre cleanliness, cabling, labelling, security and general operational discipline. Support planned work and break-fix activities across QRT’s global data centre environment. Take part in out-of-hours and weekend work where required, including planned changes, deployments and urgent break-fix activities. Participate in an out-of-hours on-call rota once suitable training and experience have been completed. Your Present Skillset: Some experience working in a data centre, IT infrastructure, network operations, hardware support or similar technical environment. Hands-on experience installing or supporting servers, network devices, cabling or other IT hardware. Basic understanding of servers, network switches, fibre, copper cabling and power connections. A practical and methodical approach to physical work, troubleshooting and problem solving. Strong attention to detail, particularly around cabling, labelling, documentation and build quality. Comfortable following technical instructions, procedures and change plans. Able to work safely and carefully within live data centre environments. Good communication skills and willingness to work with internal teams, vendors and third-party engineers. Organised and comfortable managing tasks, equipment, stock and documentation. Willingness to learn new technologies and develop broader knowledge of data centre infrastructure. Comfortable working as part of a globally distributed team. Willingness to travel internationally when required. Flexibility to carry out evening, overnight and weekend work when needed. Willingness to participate in an out-of-hours on-call rota after completing the required training. Base salary range for this position is $150,000 to $180,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The Network Operations team is part of QRT’s global infrastructure function and ensures the stability and reliability of the firm’s global network. The team provides 24/7 operational support, covering monitoring, incident triage, and troubleshooting across a diverse set of environments including low-latency trading, high-performance computing, and global WAN technologies. Your Future Role within QRT Ensuring the smooth and efficient operation of the QRT Network in Trading, High Performance Compute, WAN, and other environments. Using modern monitoring techniques and tooling to detect and react to incidents, ensuring a fast response within the target SLA. Provide initial triage of incidents reported by internal teams or detected through monitoring tooling. Support and assist SMEs and vendor support teams through deeper and high priority incidents through to resolution. Owning end-to-end hardware failure process, collaborating with vendors to obtain replacement parts and put into operation. Drive proactively detection of potential incidents using monitoring tooling and trend analysis. Perform operational BAU changes during out of hours change windows such as, ACL updates, port configurations…etc Reporting service outages to connectivity providers, working for fast resolution and post outage RFO reports. Create and update documentation such as diagrams, knowledge articles, how-to guide…etc with aim to reduce time to resolve. Review service performance for connectivity providers and vendors to find and improve sub-performing areas for improvement. Running post incident reviews finding opportunities to improve the availability and reliability of our infrastructure. Your Present Skillset CCNA Certified and/or Degree in relevant subject area at 2:1 or above. Experience in an operational support team Experience using Cisco, Arista, Corvil products Strong troubleshooting skills of network infrastructure and collaborating with vendor support teams when required to perform deep investigation. Knowledge of network technologies (i.e. BGP, Multicast, TCP/IP, VXLAN, General Routing/Switching, etc.) Prior usage of NMS tools (i.e. Solarwinds, Zabbix, Grafana, Prometheus, etc.) Experience with analysis/troubleshooting tooling (i.e.  Wireshark, Splunk, PromQL., etc.) Informed on industry trends and emerging technologies to ensure our automation and practices remains cutting-edge. Experience of service management tooling (i.e. Jira, ServiceNow, etc.) Base salary range for this position is $150,000 to $200,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: Dammam, Saudi Arabia Eram Talent is on the lookout for a knowledgeable and driven Sr. Static Equipment Engineer to join our esteemed team in Saudi Arabia. With a strong presence in the oil and energy sector, our consultancy firm is dedicated to connecting top-tier talent with industry-leading organizations. In this senior role, you will be responsible for the design, evaluation, and maintenance of various static equipment, including pressure vessels, heat exchangers, and storage tanks. You will lead engineering projects, providing technical expertise and guidance to ensure compliance with regulatory standards and operational efficiency. Your contributions will be essential in enhancing equipment reliability and performance, while also mentoring junior engineers and fostering a culture of excellence within the team. Requirements Bachelor's degree in Mechanical Engineering or a related field; a Master's degree is highly preferred. At least 15 years of relevant experience in static equipment engineering within the oil and gas industry. Strong knowledge of engineering codes and standards such as ASME, API, and NACE, along with practical experience in their application. Proficiency in design and analysis software including PVElite, CEASER, and AutoCAD. Demonstrated ability to manage engineering projects and provide solutions for equipment optimization and reliability. Exceptional problem-solving and analytical skills, with a focus on innovation in engineering practices. Excellent communication skills and ability to work effectively in a team-oriented environment. Fluency in English is mandatory; Arabic proficiency is an advantage. Commitment to upholding health, safety, and environmental standards. Experience in mentoring and developing less experienced engineers is highly valued.

Location: Baltics THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Dhahran, Saudi Arabia Eram Talent, a leading Talent Acquisition Consultancy operating in the oil and energy sector, is seeking a highly experienced Senior Rotating Equipment Engineer to join our team in Saudi Arabia. In this role, you will be responsible for the analysis, design, and maintenance of various rotating equipment, playing a critical role in ensuring optimal performance, reliability, and safety standards. As a Senior Engineer, your duties will include developing and implementing maintenance strategies, performing root cause analyses on equipment failures, and ensuring compliance with local and international industry standards. You will collaborate closely with engineering, operational, and maintenance teams to drive improvements and innovation in equipment reliability. This is an exciting opportunity to lead projects and make significant contributions in a dynamic environment where your expertise in rotating machinery will be highly valued. If you are driven by challenge and eager to leverage your skills in a forward-thinking company, we encourage you to apply. Requirements Bachelor's degree in Mechanical Engineering or a related field A minimum of 10 years of experience in rotating equipment engineering within the oil and energy sector Deep knowledge of the design, operation, maintenance, and troubleshooting of rotating machinery, including pumps, turbines, and compressors Strong familiarity with industry standards and regulatory compliance Highly developed analytical and strategic problem-solving skills Excellent communication and teamwork abilities Prior experience in leading projects or teams is a plus Fluency in English is required; Arabic language skills are a plus

Location: Pune; Bangalore Workplace: remote IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a skilled Senior Data Engineer (with AI/ML exposure)  to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!    * The interview process will be conducted in English. Responsibilities: Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services. Design, optimize, and maintain robust ETL/ELT pipelines and data structures within our cloud data warehouse (Snowflake/Redshift) to support core Business Intelligence. Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns. Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights. Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces. Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows. Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions. Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines. Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations. Requirements: Senior Data Engineer with 6-7+ years of experience in building scalable data infrastructure and 1-2 years of hands-on exposure to AI/ML workflows. Excellent English communication skills. Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion. Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources. Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift. Effective oral and written communication skills with BI team and user community. Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows. Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference. Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies. Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment. Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights. Pluses: Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows. Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization. Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments. What we offer: Remote work opportunity! B2B Employment ($, gross) or full-time employment option. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Please attach CV in English. The interview process will be conducted in English.   Only accepting applicants from INDIA

Location: Romania THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Dubai, United Arab Emirates As an AI Infrastructure & MLOps Engineer at Müller’s Solutions for a 6-month contract, This role is primarily operations-focused (90%) , with hands-on involvement in implementation, configuration, and setup of AI infrastructure and MLOps workflows. You will play a key role in managing, operating, and guiding the deployment of a strategic AI environment , working closely with the customer as a technical advisor and hands-on engineer. What about the role responsibilities? Operate and maintain AI infrastructure and MLOps platforms in a production environment. Monitor, manage, and troubleshoot Kubernetes-based AI workloads. Perform Acceptance Testing Planning and Execution for AI infrastructure and platforms. Ensure stability, performance, and availability of AI systems. Support day-to-day operational tasks across compute, storage, and networking layers. Install and configure NVIDIA Enterprise AI Stack (NVAI) . Configure and manage MLOps platforms such as Kubeflow and MLflow . Assist in setting up end-to-end AI workflows , including data pipelines. Support the initial implementation phase of the AI environment. Act as a technical guide and advisor to the customer during the early stages of their AI adoption. Requirements What should you have to fit in this role? Technical Requirements AI / MLOps Stack Proficient experience with the NVIDIA Enterprise AI Stack Familiarity with Ubuntu Linux Experience with Kubernetes Knowledge of Kubeflow / MLflow Experience with QFLOW (an open-source AI data pipeline management tool) Programming & Automation 4–6 years of practical experience in: Python Jupyter Notebook / JupyterLab Competence in writing, testing, and maintaining operational scripts and AI workflows. Infrastructure Experience Practical experience with enterprise infrastructure, encompassing: Dell PowerScale (5 nodes) XE Server (1 node) Dell R570 Servers (5 nodes) Dell Network Switches (2 switches) GPU-based AI servers (in a small-scale environment) Environment Overview Initial implementation of AI Compact configuration: 1 GPU server 1 PowerScale 5 control plane servers Opportunity to shape best practices from the ground up To succeed in this role, it's nice to have: •   Familiarity with data frameworks like Apache Spark or Hadoop for data processing. •   Understanding of ML model monitoring and logging practices to ensure system reliability. •   Experience with security best practices in AI systems.

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients. ABOUT THE PROJECT Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents. Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels. We are developing a customer support research and resolution platform. The platform will include: - data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows. - agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes - research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers) The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.   WHAT YOU’LL DO - Design and implement AI-powered features: integrate LLM and build AI agents. - Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete. - Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents. - Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases. - Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments. - Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI. - Participate in technical design reviews, shaping architectural decisions and engineering standards. WHO ARE YOU - You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors. - You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built. - You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically). - You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems. - You have a strong understanding of distributed systems design patterns. - You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively. - You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications. - You are fluent in at least one non-JS programming language (Java is a strong advantage). - You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives. - You thrive in environments where AI isn’t a side feature but a core building block. - You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed. - You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments. WHAT YOU BRING - 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js. - 9+ months of commercial experience building AI features using OpenAI ecosystem. - Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows. - Experience designing and implementing MCP servers to integrate external capabilities with LLMs. - Proven ability to design structured prompt architectures with evals, guardrails and observability. - Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration. - Strong fundamentals in building secure, performant, production-grade APIs and backend systems. - Experience with CI/CD, testing, monitoring, and cloud infrastructure. ADDITIONAL SKILLS - Understanding concepts of semantic search is a strong advantage. - Experience playing a role of team leaders is a strong advantage. - Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage. - Experience with streaming UIs, conversational UX, and SSE/WebSockets. - Knowledge of prompt injection defenses and responsible AI practices. TECH STACK This platform is a green-field development. - Core: TypeScript, Node.js, React/Next.js, Java - AI: OpenAI API, MCP servers, OpenAI Agents SDK - APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much) - Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines - Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Sydney Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Join our global infrastructure support team at QRT, supporting the growing Linux on-prem estate. Engage with end users, application teams, and engineering teams to meet complex business requirements. This role involves both day-to-day support and project-based activities like new deployments, general administration tasks, and upgrades, working closely with engineering teams to enhance platform automation and monitoring initiatives. Your future role within QRT: Be a key member of the infrastructure support team working with high-performance Linux-based trading and research platforms. Build, administer, upgrade, and support QRT's Linux estate. Contribute to monitoring and automation initiatives. Collaborate with engineering teams to document and improve processes. Participate in out-of-hours work and an on-call rota (typically performed remotely). Leverage experience in Python and bash scripting. Your Current Skillset: Hands-on experience working with Linux-based platforms. Excellent Linux administration skills, with knowledge of RedHat, Centos, and Rocky. Experience with end-to-end server deployments. Proficiency in automation technologies (e.g., Ansible). Working knowledge of AMD/Intel server hardware and physical components. Strong problem-solving, communication, and analytical skills. Interest in technology and a willingness to learn. Ability to work as a team player. Working knowledge of server network stack, network protocols (e.g., TCP, UDP), LAN, and WAN technologies. Some experience with NFS/SAN systems is advantageous but not essential. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London, United Kingdom; Seoul, South Korea; Tokyo, Japan; Melbourne, Australia; Paris, France Eram Talent, a specialist in talent acquisition within the Oil & Gas industry, is seeking a highly skilled Sr. Planning / Scheduling Engineer with Project Management Consultancy (PMC) experience to join their team in Saudi Arabia. In this role, you will be responsible for developing, managing, and optimizing project schedules for various Oil & Gas projects, ensuring that all timelines align with strategic goals and stakeholder expectations. If selected, the work location would be onsite at Saudi Arabia. Responsibilities Establish, monitor, and update comprehensive project schedules using advanced scheduling tools such as Primavera P6 or Microsoft Project. Collaborate with project managers, engineers, and clients to gather essential data for schedule development. Analyze project performance metrics to identify schedule discrepancies and propose effective corrective measures. Generate detailed scheduling reports and deliver presentations to convey project timelines and status to stakeholders. Lead schedule-related discussions in project meetings to facilitate alignment among team members. Implement best practices for project planning and scheduling to enhance efficiency and performance. Requirements Bachelor's degree in Engineering, Construction Management, or a related discipline. Minimum of 15 years of experience in planning and scheduling within the Oil & Gas sector, specifically with PMC experience. Proficiency in scheduling software applications such as Primavera P6 or Microsoft Project. Strong knowledge of project management methodologies and principles. Exceptional analytical skills and the ability to interpret complex scheduling data. Excellent communication and interpersonal skills, with a proven ability to influence stakeholders. Demonstrated capacity to work independently and collaboratively in a fast-paced environment.

Location: London, United Kingdom; Seoul, South Korea; Tokyo, Japan; Melbourne, Australia; Paris, France Eram Talent is looking for a highly skilled and experienced Sr. Cost Engineer with a background in Project Management Consultancy (PMC) to join our team in Saudi Arabia. As a senior member of the team, you will be responsible for overseeing project cost management activities, ensuring that projects are executed within budgetary constraints while meeting quality and schedule requirements. This role requires a strong understanding of the oil and gas sector, along with exceptional analytical and communication skills. Responsibilities Prepare detailed cost estimates and budgets for large-scale projects. Monitor project financials, analyze variances, and implement corrective actions as needed. Provide expert advice on cost management practices and methodologies to project teams. Collaborate with stakeholders to develop project execution strategies and financial planning. Review and validate contractor invoices, change orders, and claims. Conduct cost-benefit analysis and evaluate project risks and opportunities. Lead cost reporting efforts, delivering comprehensive insights to management and clients. Mentor junior cost engineers and ensure adherence to project standards and best practices. Requirements Bachelor's degree in Engineering, Finance, or a related field. Minimum of 15 years of experience in cost engineering, with significant experience in PMC roles. Deep understanding of cost management principles, including estimating, budgeting, and cost control. Proficiency in cost management software and advanced Excel skills. Strong analytical, problem-solving, and organizational abilities. Excellent verbal and written communication skills. Ability to work collaboratively in a fast-paced environment. Experience in the oil and gas industry is a significant advantage.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are looking for a Senior Site Reliability Engineer (SRE) to join the Compute Node team at Nebius AI Cloud. The Compute Node team is responsible for building and operating the cluster scheduler and node-level services that run and manage virtual machines across all cloud regions. This role focuses on Linux systems engineering, virtualization and operational reliability. You will work close to the operating system and hypervisor, shaping how reliability and observability are embedded into the Compute platform. Y our responsibilities will include: Ensure reliability, availability and performance of compute nodes running VMs Analyze and debug Linux systems across user space and kernel space, understanding capabilities, limitations and trade-offs at each layer Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups and scheduling Work hands-on with virtualization and containerization, primarily using QEMU/KVM and Linux-native technologies Design and evolve observability as a core capability of the node layer: metrics, logs, traces, alerts, SLIs and SLOs Lead incident response, root-cause analysis, and postmortems, driving long-term reliability improvements Collaborate closely with platform, kernel/hypervisor, GPU and infrastructure teams to improve system design and operability We expect you to have: Strong Linux expertise: deep understanding of Linux user space and kernel space knowledge of kernel subsystems (scheduler, memory management, filesystems, cgroups, namespaces) clear understanding of system boundaries and constraints at different layers Virtualization experience: hands-on experience with QEMU/KVM understanding of VM lifecycle, performance characteristics and failure modes Containerization knowledge: practical experience with containers, namespaces and cgroups strong understanding of resource isolation and control Strong debugging skills: ability to reason about complex system failures structured, hypothesis-driven approach to incident analysis SRE mindset: clear understanding of the SRE role in system design and operations experience building and operating observability stacks, not just consuming them ability to turn system behavior into actionable reliability signals Nice to Have / Optional: Experience with Kubernetes internals or node-level components Hands-on experience with low-level Linux debugging tools (e.g. perf, eBPF, ftrace, strace, kernel crash dumps) Familiarity with large-scale compute or bare-metal platforms Contributions to open-source infrastructure or system software Experience debugging hardware and driver-level issues, including GPUs, NVLink, InfiniBand Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Thailand THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice