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Engineering Intelligence Lead – Jellyfish ​/ Delivery Observability

Job in Minneapolis, Hennepin County, Minnesota, 55401, USA
Listing for: Diverse Lynx
Full Time position
Listed on 2026-08-05
Job specializations:
  • Software Development
    DevOps, AI Engineer (Applied/Software), Cloud Engineer - Software
Job Description & How to Apply Below

Engineering Intelligence Lead – Jellyfish / Delivery Observability

Location:

Minneapolis, MN

Work Type:
Onsite

Job Type: Contract

Skill:
Jellyfish, Delivery Observability, Azure Dev Ops, AI DLC (Delivery lifecycle) Experience

Required:

8+

Role

Summary:

Own the Jellyfish platform, implementation and operation of engineering intelligence and delivery observability. The role will enable visibility into delivery lifecycle performance, engineering productivity, and workflow efficiency across AI initiatives. This role is expected to immediately take over tooling ownership and partner with product, engineering, and AI teams to operationalize insights.

Key Responsibilities
  • Lead onboarding, configuration, and operationalization of Jellyfish platform
  • Provide end-to-end visibility into delivery lifecycle and work orchestration
  • Enable tracking of:
    • Engineering productivity
    • Work throughput and cycle time
    • Delivery bottlenecks and inefficiencies
  • Integrate Jellyfish with tools such as:
    Azure Dev Ops (ADO), Git Hub, Jira (future target)
  • Design dashboards and reporting for:
    • Leadership visibility
    • Delivery governance
  • Collaborate with:
    • AI DLC (Delivery lifecycle) teams
    • App Ops / Observability teams
  • Enable data-driven decision making for engineering leadership
  • Support scaling of the tooling ecosystem as additional tools are onboarded
Required Skills
  • Strong experience with Jellyfish or similar engineering intelligence platforms
  • Experience with SDLC tools integration (Git Hub, ADO, Jira)
  • Understanding of:
    • Agile delivery metrics
    • Software engineering lifecycle
  • Experience building reporting dashboards and analytics frameworks
  • Strong stakeholder management skills
Preferred Skills
  • Exposure to AI/ML development lifecycle (AI DLC)
  • Experience in observability and app performance measurement
  • Familiarity with engineering productivity metrics frameworks

Profile Expectation (Critical per Customer):
Hands-on and immediately deployable. Capable of working directly with product and engineering teams. Able to operate in high-pressure, fast-moving environments

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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