Geospatial Platform Technology Engineer II

Jobtailor

Connecticut

On-site

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Jobtailor is seeking an Agile Team Lead to direct a team of technology engineers focused on Geospatial platforms. The role involves coordinating with partner teams to refine features, clarify requirements, and maintain a prioritized backlog.

You will drive quality, security, and efficient delivery while guiding the team through complex geospatial solutions. Ideal candidates have deep geospatial expertise, hands-on ArcGIS Enterprise experience (cloud/on‑prem), and strong leadership to mentor

Qualifications

  • 5-6 years of technology engineering/platform management experience preferred.
  • Experience with ESRI ArcGIS Enterprise, on-premises and cloud deployments.
  • Experience with Kubernetes/EKS for geospatial workloads.
  • Familiarity with geospatial data pipelines and ETL for spatial data.
  • Strong leadership and ability to guide engineering teams.

Responsibilities

  • Fill the role of Agile Team Lead for a team of technology engineers supporting Geospatial platforms.
  • Work with partner Team Leads to refine features for the engineering team.
  • Maintain and prioritize the team backlog.
  • Provide status on projects to leadership.
  • Lead maintenance and enhancement projects across technical areas.

Skills

Leadership
Stakeholder communication
Project management
Geospatial expertise
Team mentoring

Tools

Kubernetes
EKS
ArcGIS Enterprise
ArcGIS REST API
Spectrum SDK/API
Python
PostgreSQL
LDAP/AD integration

Job description

Responsibilities
  • Fill the role of Agile 'Team Lead' for a team of technology engineers supporting our Geospatial platforms.
  • Work with partner Team Leads and engineering team members to create and refine features for the engineering team.
  • Work with engineering team members to clarify expectations and specify requirements to facilitate user story creation.
  • Maintain and prioritize the team backlog.
  • Evaluate systems specifications regarding customer requirements, transforming specifications into cost‑effective, technically correct solutions.
  • Prioritize work and manage projects within established objectives and customer priorities.
  • Responsible for establishing and managing quality control and security protocols.
  • Provide division, department, and business area management with timely and accurate information regarding the status and performance of assigned projects.
  • Leverage technology to develop, redesign, and/or implement optimal geospatial solutions.
  • Accountable for the conceptual and technical integrity and quality of the outputs of the team.
  • Provide guidance and consulting to the engineering team on geospatial best practices and technical troubleshooting.
  • Provide expertise and consulting to technology and business partners on geospatial platform usage, spatial data management, and optimization.
  • Help design, document, and implement administrative procedures for Geospatial platforms.
  • Build, leverage, and maintain effective relationships across technical and business communities.
  • Interact with software vendors for support, escalations, licensing, and general relationship management.
  • Lead maintenance and enhancement projects spanning multiple technical areas and disciplines.
  • Research, analyze, and evaluate software capabilities in new software versions of geospatial platforms.
  • Provide off‑hours support as required.
Requirements
  • 5-6 years of technology engineering/platform management experience preferred.
  • Support and maintain Geospatial platforms both on‑premises and in the Cloud: ESRI/ArcGIS Enterprise platform administration and supporting components.
  • Precisely Spectrum Technology Platform administration, configuration, and integration with enterprise systems.
  • Infrastructure planning and scaling including Cloud platforms, systems maintenance, business customer support, security configuration and management, user management, and systems integration.
  • Kubernetes/EKS cluster management for containerized geospatial workloads (preferred).
  • Amazon EKS (Elastic Kubernetes Service) experience for managing containerized geospatial workloads.
  • Experience deploying ESRI ArcGIS Enterprise in containerized or cloud-native environments.
  • Familiarity with geospatial data pipelines, ETL processes for spatial data, and integration with enterprise data platforms.
  • Experience with ArcGIS REST API, Python, and Spectrum SDK/API usage.
  • Prior experience in insurance or financial services industry geospatial applications (e.g., risk mapping, geocoding, territory management).
  • PostgreSQL experience: familiarity with RDS/Aurora PostgreSQL on AWS as the team migrates geospatial data infrastructure to the cloud.
  • In-depth knowledge of Enterprise geospatial platform implementations, maintenance, and support.
  • In-depth knowledge of technology infrastructure including Cloud services, platform design, and systems integration.
  • In-depth knowledge of Windows and Linux‑based operating systems.
  • In-depth knowledge of software installation, configuration, and maintenance practices.
  • Experience supporting enterprise‑level geospatial platforms, platform integrations, capacity planning, security, monitoring, and alerting.
  • Experience working with geospatial technology vendors and managing vendor support relationships.
  • Experience in setup, configuration, and management of common security concepts for integration with LDAP/AD at an Enterprise level.
  • Experience with containerization and Kubernetes; EKS knowledge strongly preferred.
  • Familiar with automation tools like Puppet, Autosys, and scripting languages such as Python.
  • Knowledge of spatial data formats, coordinate systems, projections, and geospatial data management concepts.
  • Ability to research and debug geospatial technology challenges through independent research or vendor technical discussions.
  • Excellent written communication and presentation skills.
  • Strong interpersonal and leadership skills to build credibility and influence.
  • Demonstrated ability to self‑teach and self‑learn new technologies.
  • Demonstrated ability to share learnings with other technology team members in a positive, encouraging manner.
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