Remote Machine Learning Robotics Jobs in North Carolina

At HedgeServ, we're redefining what's possible in fund administration. With more than $700 billion in assets under administration, we partner with the world's most forward-thinking investment managers - across private equity, private credit, endowments, hedge funds and more - to deliver seamless, tech-enabled solutions that drive performance.

Our proprietary platform, enhanced by machine learning and robotic process automation, gives clients real-time insights and unmatched control over their operations. Alongside our technology, we offer award-winning service through our team-based approach -- led by a deeply experienced team of industry experts. Our solutions span the full investment lifecycle, including fund accounting, middle office, risk, compliance, tax, and investor services.

We're a future-focused company, empowering our people through a robust career development framework, clear career trajectories with structured learning paths, training, and progression plans. We invest in leadership development and in our collaborative culture, creating space for talent to grow. Our corporate values - Relationships, Support, Innovation, and Expertise - create a sense of shared purpose and belonging, and we recognize our employees sit at the core of our success. We continue to innovate and evolve through our employees, working together to achieve our shared vision and mission.

HedgeServ supports employees through a variety of offerings, including remote and hybrid working arrangements, and fully paid comprehensive health and well-being benefits. We've been recognized as an employer of choice, earning a top 100 workplaces designation.

Founded in 2008, HedgeServ has grown into a global organization with over 2,000 experts across the globe, with offices in the United States, Grand Cayman, Ireland, Poland, Bulgaria, Luxembourg, the Philippines, and Australia. We've earned numerous accolades, including Top Overall Administrator, along with #1 rankings for providing alternative asset services in Accounting, Technology, Client Service, Investor Services, Alternative Fund Expertise, Reporting, and Regulatory Expertise.

Job Description

The Senior ITSMA Observability Engineer is responsible for the design and development of the Elastic and Prometheus Stack, as well as, AWS Observability tools that monitor and manage critical applications and infrastructure at HedgeServ. As an important member of the ITSMA Monitoring and Analytics Team, the Senior Engineer will be responsible for the operation and design of the portfolio of tools, which include alerting mechanisms and escalation, dashboards, and the overall framework to support the management of HedgeServ's infrastructure, systems, and applications. Additionally, this role entails leading IT infrastructure monitoring projects and vendor management and handling daily operations with SME (Subject Matter Expert) escalation support as needed. The successful applicant should possess the ability to collaborate with various IT teams to gather requirements and develop solutions by means of existing monitoring capabilities or customized monitors (scripts).

Role Responsibilities

The Senior ITSMA Observability Engineer will collaborate with the ITSMA Monitoring and Analytics Team to design, build, secure, maintain, optimize, and document solutions utilizing Elastic Cloud Stack and AWS-managed Prometheus.

• Proficiency with Elasticsearch, Logstash, Kibana, Beats, APM with X-Pack, Prometheus, Grafana, AWS CloudWatch, and other observability tools
• Experience with OTEL Collectors
• Engage closely with application owners, engineers, and development teams to evaluate requirements, architect, and support an Elasticsearch Stack solution, as well as structure queries to enhance system performance and efficiency
• Design and configure ETL data pipelines using Elastic Common Schema for onboarding application logs and metrics
• Configure index templates and manage data lifecycle (ILM) for effective data retention
• Develop Ansible playbooks for automated deployment of Beat agents across on-premises and AWS systems; utilize Terraform for safe management of production infrastructure, employing methodologies such as Infrastructure as Code within AWS environments
• Create Elastic alerting solutions via Watcher and Kibana Alerts integrated with existing ticketing tools and MS Teams
• Develop Machine Learning jobs to dynamically monitor and provide alerts based on specific metrics and KPIs
• Build Elastic and AWS observability AI solutions that enable infrastructure engineering and operations teams to address production issues efficiently
• Adhere to lifecycle processes for transitioning solutions from Development to QA to Production
• Actively participate in collaborative group sessions, attend agile sprint daily meetings, and share progress to ensure solution development aligns with organizational requirements

Pre-Requisite Knowledge, Skills and Experience

• Technical Degree in Information Technology
• Experience with Elastic Cloud and AWS Managed Prometheus
• Knowledge of installation, system tasks, data collection, network troubleshooting, data pipelines, and cluster administration
• Proficient in Python, Bash, PowerShell, Painless, and other scripting languages
• Extensive ELK Stack expertise, including Elasticsearch, Logstash, Kibana, Beats, Machine Learning, APM, X-Pack, and REST API integration
• Skilled in evaluating and tuning Elastic clusters, configurations, indexing, search performance, security, and administration
• Proficient with Prometheus, Grafana, AWS observability tools, and their performance, security, and management
• Experienced with security integrations (Windows SAML, LDAP, Kerberos) in Elasticsearch
• Adept with AWS services: CloudWatch, CloudTrail, Kubernetes, Docker, Lambda
• Integrated Elastic alerting with third-party ticketing tools
• Experienced in implementing and integrating observability AI agents and frameworks for automated analysis, incident detection, and proactive resolution across complex systems