Senior ITSMA Observability Engineer

At Hedge Serv, we’re redefining what's possible in fund administration. With more than $700billion in assets under administration, we partner with leading investment managers across private equity, private credit, endowments, hedge funds and more to deliver tech‑enabled solutions that drive performance.

• Design, build, secure, maintain and optimize the Elastic & Prometheus stack, including AWS observability tools, for critical applications and infrastructure.
• Create alerting mechanisms, escalation paths, dashboards and the overall framework to support infrastructure, systems and application monitoring.
• Lead IT infrastructure monitoring projects, vendor management, and daily operations, providing SME escalation support as needed.
• Collaborate with application owners, engineers and development teams to gather requirements and engineer solutions using existing monitoring capabilities or custom scripts.
• Architect and support an Elasticsearch stack solution, structuring queries to improve system performance and efficiency.
• Design and configure ETL data pipelines using the Elastic Common Schema for onboarding application logs and metrics; configure index templates and manage data lifecycle (ILM) for retention.
• Develop Ansible playbooks for automated deployment of Beat agents across on‑premises and AWS systems and use Terraform to manage production infrastructure as code.
• Create Elastic alerting solutions via Watcher and Kibana alerts integrated with ticketing tools and MSTeams.
• Develop machine learning jobs to monitor metrics and KPIs, and build AI observability solutions that enable infrastructure engineering and operations teams to address production issues efficiently.
• Adhere to lifecycle processes for moving solutions from Development → QA → Production and participate in agile sprint meetings and collaborative group sessions.

• Technical degree in Information Technology or related field.
• Experience with Elastic Cloud (ELK Stack) and AWS‑managed Prometheus.
• Installation, system tasks, data collection, network troubleshooting, data pipelines and cluster administration skills.
• Proficiency in Python, Bash, Power Shell, Painless and other scripting languages.
• Extensive ELK Stack expertise:
  Elasticsearch, Logstash, Kibana, Beats, Machine Learning, APM, X‑Pack, REST API integration.
• Evaluation and tuning of Elastic clusters, configurations, indexing, search performance, security and administration.
• Strong knowledge of Prometheus, Grafana, AWS observability tools, performance, security and management.
• Experience with security integrations (Windows SAML, LDAP, Kerberos) in Elasticsearch.
• Expertise with AWS services:
  Cloud Watch, Cloud Trail, Kubernetes, Docker, Lambda.
• Integration of Elastic alerting with third‑party ticketing tools and observability AI agents/frameworks for automated analysis and incident detection.

We offer competitive salary & benefits packages and ongoing learning and development opportunities.