Senior ITSMA Observability Engineer

HedgeServ Corporation

Town of Texas, Fort Worth (WI, TX)

On-site

USD 90,000 - 130,000

Full time

14 days+
Application generator

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Benefits offered by this job

Competitive salary & benefits packages
Ongoing learning and development opportunities

Job summary

HedgeServ Corporation in the United States is looking for a talented IT professional to design, build, and maintain the Elastic & Prometheus stack for their critical applications and infrastructure. You will lead monitoring projects and collaborate with various teams to develop integrated monitoring solutions.

The ideal candidate has a technical degree in IT, significant experience with the ELK stack, AWS services, and is proficient in automation tools like Terraform and Ansible.

Qualifications

  • Experience with Elastic Cloud (ELK Stack) and AWS-managed Prometheus.
  • Installation, system tasks, data collection, network troubleshooting and cluster administration skills.
  • Strong knowledge of Prometheus, Grafana, AWS observability tools, performance and security management.

Responsibilities

  • Design and optimize the Elastic & Prometheus stack for critical applications.
  • Create alerting mechanisms and overall framework for monitoring.
  • Collaborate with application owners and teams to engineer solutions.

Skills

Elastic Cloud (ELK Stack)
AWS-managed Prometheus
Python
Bash
Terraform
Ansible
Machine Learning
Kubernetes

Education

Technical degree in Information Technology or related field

Tools

Elasticsearch
Kibana
Logstash
Grafana
Docker

Job description

At HedgeServ, 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.

Role Responsibilities
  • 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.
Qualifications
  • 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, PowerShell, 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: CloudWatch, CloudTrail, 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.

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