Engineering Intelligence Lead – Jellyfish / Delivery Observability
Contract W2
Contract Corp To Corp
1 Year
No Travel Required
On-site
Depends on Experience
Galaxy i Technologies, Inc.
Fitment
Dice Job Match Score™
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Job Details
Skills
- Microsoft Azure~Github Enterprise
- Experience with SDLC tools integration (GitHub
- ADO
- Jira)
Summary
Job Title : Engineering Intelligence Lead – Jellyfish / Delivery Observability
Location : Minneapolis, MN
JD :
JD – Jellyfish (Engineering Intelligence / Observability Lead)
Role Title
Engineering Intelligence Lead – Jellyfish / Delivery Observability
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:
o Engineering productivity
o Work throughput and cycle time
o Delivery bottlenecks and inefficiencies
· Integrate Jellyfish with tools such as:
o Azure DevOps (ADO), GitHub, Jira (future target)
· Design dashboards and reporting for:
o Leadership visibility
o Delivery governance
· Collaborate with
o AI DLC (Delivery lifecycle) teams
o 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 (GitHub, ADO, Jira)
· Understanding of:
o Agile delivery metrics
o 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
---
Desirable Skills:
Keyword:
Skills: Digital : Microsoft Azure~Github Enterprise
Location : Minneapolis, MN
JD :
JD – Jellyfish (Engineering Intelligence / Observability Lead)
Role Title
Engineering Intelligence Lead – Jellyfish / Delivery Observability
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:
o Engineering productivity
o Work throughput and cycle time
o Delivery bottlenecks and inefficiencies
· Integrate Jellyfish with tools such as:
o Azure DevOps (ADO), GitHub, Jira (future target)
· Design dashboards and reporting for:
o Leadership visibility
o Delivery governance
· Collaborate with
o AI DLC (Delivery lifecycle) teams
o 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 (GitHub, ADO, Jira)
· Understanding of:
o Agile delivery metrics
o 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
---
Desirable Skills:
Keyword:
Skills: Digital : Microsoft Azure~Github Enterprise
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10374872
- Position Id: 35564-43206-1784919168
- Posted 17 hours ago
Company Info
About Galaxy i Technologies, Inc.
Galaxy i Technologies, Inc is a global consulting and IT services company that is known for its commitment to client satisfaction. Galaxy i Technologies is an information technology firm offering IT Consulting, Staff Augmentation, Software Development & Training and E-commerce Development. We help our Clients to implement these solutions through a variety of skilled consulting services like Application management, Implementation and Infrastructure management.
Galaxy i Technologies has a pool of highly skilled professionals who work through the life cycle of challenging and exciting projects, including System Analysis, Designing, Development, Implementation, Maintenance, Enhancements and Test Support to our Fortune 500 Corporations.
Careers
Galaxy i Technologies has a pool of highly skilled professionals who work through the life cycle of challenging and exciting projects, including System Analysis, Designing, Development, Implementation, Maintenance, Enhancements and Test Support to our Fortune 500 Corporations.
Careers
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