This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description A successful Infrastructure Engineer will work closely with Sr. Infrastructure Engineers and the Infrastructure Team Lead to support internal processes and compliance. This role will be tasked with completing user requests, infrastructure maintenance, and company initiatives as it relates to cloud environments. You will work in a fast-paced environment and support an agile workflow. This role is an instrumental part of our technology team. - Maintaining Linux Operating System - Maintaining cloud infrastructure environments - Troubleshooting and researching issues - Resolving Incidents and working Change Requests - On call rotation and ability to work off hours for scheduled maintenance - Ability to work with Non-Infrastructure employees to help with PM Tools (Jira/Confluence/etc) Qualifications - Linux proficiency - AWS proficiency - Kubernetes knowledge - Ability to balance multiple tasks at once - Ability to troubleshoot and resolve operating system issues - Able to work independently on well-defined, less complex tasks - Strong verbal and written communication skills, including the ability to effectively communicate with internal and external business associates - Strong teamwork focus and the ability to foster collaboration within and across teams Requirements - 1+ years of Cloud/SaaS experience - Startup experience with proven growth - Experience using Confluence, SharePoint, and JIRA.

• Operate as part of a team of professionals responsible for the 24x7 availability of Geisinger's network, cloud, and data center infrastructure • Monitors and maintains the IT infrastructure • Deployment and maintenance of the IT infrastructure • Consults with project teams to ensure compatibility with existing solutions, infrastructure, and services • Creates necessary documentation of systems and infrastructure • Assists other engineers in determining Infrastructure Change Management risk. • Responsible for the lifecycle of IT infrastructure components • Participate in verification of normal service after all scheduled repairs or upgrades • Assists with troubleshooting and diagnosing errors in equipment

• Get hands-on with current and emerging technologies in a forward-looking, cloud-first company. • Use that tech to create business solutions and contribute to achieving project goals. • Experience how emerging tech affects IT strategies and processes as we adopt new technologies. • Participate in IT and cross-departmental projects — you’ll be directly involved in business outcomes. • Learn technical and soft skills that will help make your resume stand out. • Learn how companies leverage Azure’s IaaS, SaaS and PaaS infrastructure to provide environments to business solution groups. • Understand the compliance complexities associated with cloud access and storage specifically related to data governance, privacy, and audit controls. • Work side-by-side with seasoned architects and engineers that can provide insight into the day-to-day activities of supporting 20,000+ users. • Identify areas for improvement in cloud cost management, DevOps integration, simplifying intake requests and environment automation. • Accelerate innovation and reduce costs as you analyze data, automate processes, and build apps with Microsoft’s Power Platform. • Leverage and build agentic generative AI tools to request, automate, and manage cloud workloads in Azure.

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