Arta Finance | AI-Native Wealth Platform The Company Arta is on an audacious and incredibly rewarding mission: to pave the way for people everywhere to lead more successful financial lives. Arta leverages AI and sophisticated digital tools—once reserved for ultra-high-net-worth individuals—and makes them accessible to a broader global audience. Think of it as your own digital family office, combining intelligent investment strategies, alternative assets, private market access, and smart automation to help you grow and protect your wealth effortlessly. We value trust, teamwork, and adaptability. Think: intelligent investing, personalized portfolios, and real-time trading, all backed by robust data infrastructure. The Role Arta is building an AI-native wealth management platform where machine learning systems directly power trading decisions, portfolio construction, and user intelligence. Research Infrastructure is not a support function — it is the ML systems backbone of the company. You will design and scale the infrastructure that enables researchers and investment teams to train models, run large-scale experiments, simulate strategies, and deploy production trading systems reliably and reproducibly. This role is for a senior individual contributor who enjoys owning complex distributed systems, cares about performance and correctness, and can translate cutting-edge ML research into hardened production systems. If you like building ML platforms that actually move capital — not just publish benchmarks — this will be interesting. What You Will Do Own the ML Systems Layer Architect and evolve large-scale distributed training and evaluation pipelines Build reproducible experimentation frameworks (data versioning, feature stores, experiment tracking, model registry) Design high-performance backtesting and simulation infrastructure for systematic trading strategies Enable seamless transition from research prototypes to production trading systems Power AI-Driven Trading Infrastructure Develop infrastructure for signal generation, portfolio optimization, and execution workflows Build low-latency and batch processing pipelines for market, fundamental, and alternative datasets Partner with trading and research teams to productionize alpha models and portfolio algorithms Improve throughput, latency, and reliability of compute-intensive workloads Ensure correctness, determinism, and auditability across research and trading systems Scale and Harden the Platform Optimize distributed compute across cloud-native environments Improve orchestration of large-scale ML workloads Drive observability, monitoring, and failure isolation for ML and trading pipelines Write production-quality, well-tested code with a bias for simplicity and long-term maintainability Raise the engineering bar across research systems Who You Are Arta's Compensation Philosophy We determine your salary based on factors including your interview performance, job-related skills, experience, and relevant education or training. Our offers are based on salary bands that are updated periodically using market benchmarks and consider geographic location as well (for example, higher cost regions like San Francisco or New York). If you are presented with an offer, we will review the base salary, benefits, number of options, notional option value and strike price. We would like to know if you accept our offer within 7 days. Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation. IC I: $110,000-$180,000 IC II: $160,000-$230,000 IC III: $180,000-$300,000

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The IT@JH Enterprise Directory and Messaging team is seeking a motivated and detail-oriented Enterprise Directory & Infrastructure Services Intern to support projects and daily operational tasks across Active Directory, Azure, Windows Server, and PowerShell-based automation. This role will gain hands-on experience working with server administration and automation. - Assist with Active Directory, Entra ID, and Windows Server administration, including user/group management, server builds, and environment maintenance. - Support cloud and infrastructure projects such as Azure virtual machine deployment, migrations, and system configuration. - Develop and maintain PowerShell scripts to automate administrative and operational tasks. - Perform daily operational activities including system updates, troubleshooting, documentation, and monitoring. Qualifications - High School Diploma or graduation equivalent. Some college. - Some experience. - Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Requirements - General knowledge of Enterprise Directory systems and server administration. Company Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements. Your responsibilities will include: - Site Selection & Market Analysis - Lead the end-to-end site selection process for new data center facilities. - Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors. - Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing. - Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies. - Technical & Environmental Due Diligence - Coordinate environmental, geotechnical, hydrological, and seismic assessments. - Assess infrastructure availability (power, water, fiber) and future scalability. - Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility. - Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements. - Colocation Strategy & Vendor Management - Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure. - Lead RFPs, negotiations, and contract execution with colocation and connectivity partners. - Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations. - Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics. - Cross-Functional Collaboration - Work with data center design and construction teams to validate site feasibility and development timelines. - Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance. - Support finance with CapEx/OpEx modeling, ROI calculations, and business case development. - Coordinate with public authorities, utilities, and permitting agencies as needed. - Risk Assessment & Compliance - Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability. - Ensure compliance with local regulations, zoning laws, and corporate standards. - Maintain documentation for audits, reporting, and internal approvals. Qualifications - Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field. - 5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure. - Strong understanding of data center power, cooling, and network requirements. - Experience in evaluating colocation providers and negotiating leases/SLAs. - Analytical skills in market research, cost modeling, and risk assessment. - Ability to manage multiple simultaneous projects across regions. - Excellent communication, negotiation, and stakeholder management skills. Requirements - Experience with hyperscale or large-scale data center development. - Knowledge of utility procurement (power, water), renewable energy markets, and substation planning. - Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning. - Understanding of permitting processes and environmental regulations. Benefits - Competitive salary and comprehensive benefits package. - Opportunities for professional growth within Nebius. - Flexible working arrangements. - A dynamic and collaborative work environment that values initiative and innovation.

• Provides leadership and oversight for the Engineering team responsible for designing and maintaining secure, scalable, and efficient technology solutions. • Focused on driving automation, improving operational efficiency, best practices and enabling internal teams and customers through self-service platforms and streamlined processes. • Works across technical and business teams to eliminate manual tasks, enforce standards, and implement modern platforms. • Leads development efforts for the Unisys Infrastructure and potentiallyCloud Native Platform, supporting modernization and innovation. • Provides direction to a team of engineers (direct or indirect) focused on platform engineering, system integration, and automation. • Oversees the execution of projects, including scope, timeline, resource planning, and budget control. • Retains technical ownership for designing and coordinating scalable, resilient infrastructure and services. • Leads the development and implementation of automation solutions using tools such as Terraform, Ansible, and CI/CD pipelines (e.g., GitHub Actions, DevOps). • Promotes configuration-as-code and standardized deployment practices to eliminate manual work and ensure consistency. • Drives adoption of self-service capabilities for provisioning, access, and operational tasks through platforms like ServiceNow or internal service catalogs. • Collaborates with business and technical stakeholders to gather requirements, design solutions, and align technical delivery with strategic goals. • Partners with architecture, security, and operations teams to enforce compliance, streamline change, and enhance platform usability. • Establishes best practices and operating procedures for build, deployment, support, and incident management. • Implements observability tools for proactive monitoring, alerting, and diagnostics (e.g., Prometheus, Datadog, Azure Monitor). • Ensures secure and automated management of credentials and secrets using tools like Vault, Key Vault, or Secrets Manager. • Leads the evolution of engineering platforms to support modern workloads, microservices, and resilient architectures. • Continuously evaluates new technologies and methodologies to improve service reliability, cost efficiency, and team productivity.