Product Ownership Agile Delivery

Capgemini
Charlotte, NC, United States
3 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$61,547.0 - $96,158.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology BigQuery Cloud Engineering Cloud Storage Computer Programming Continuous Integration Data Flow Control Github Python (Programming Language) Scrum Methodology Software Tools Cloud Services
+6 more
Cloudera Shell Script SQL Databases Google Cloud Performance Monitor Terraform

Job description

Charlotte, NC, United States (On-site) Contract (6 months 17 days) Published 17 hours ago stakeholder management Cloud Services agile methodologies SQL Python product management presentation skills Google Cloud Platform (GCP) KPI tracking problem - solving analytical skills

Product Ownership Agile Delivery:

  • The GCP Product Owner Engineer is responsible for driving the design delivery and operationalization of cloud solutions on Google Cloud Platform GCP This role blends technical engineering expertise with product ownership responsibilities ensuring alignment between business goals engineering execution and stakeholder expectations
  • The individual must effectively communicate with leadership articulate progress manage Agile ceremonies and drive sprint execution while contributing handson to GCP solution delivery
  • Own and manage the product backlog ensuring alignment with business priorities and technical feasibility
  • Define and refine user stories acceptance criteria and sprint goals

Lead Agile ceremonies including:

  • Daily standups
  • Sprint planning
  • Sprint reviews and retrospectives
  • Track sprint progress dependencies and risks ensuring timely delivery
  • Provide regular updates to leadership on
  • Delivery progress
  • Risks and mitigations
  • Key milestones and KPIs
  • Articulate technical and delivery status in businessfriendly terms
  • Coordinate with cross functional teams including engineering architecture and business stakeholders
  • Track KPIs and communicate status proactively

Requirements

Do you have experience in Terraform?, 5 Years of experience in:

  • Cloud engineering platform engineering
  • Agile delivery or product ownership roles

Technical Skills:

  • Strong hands-on experience with GCP services
  • BigQuery Dataflow Dataproc Cloud Storage Composer

Experience with:

  • Terraform Infrastructure as Code
  • CICD tools Harness GitHub Actions etc
  • Data engineering tools and frameworks
  • Programming knowledge Python SQL Shell scripting
  • Strong communication and presentation skills with ability to interact with leadership
  • Experience running Agile ceremonies standups sprint reviews retrospectives
  • Ability to translate business requirements into technical deliverables
  • Strong problem solving and stakeholder management skills

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • Retirement plan
  • Vision insurance
  • Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $29.59/hour - $46.23/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

2:32 min

Overview of Terraform and Terraform Cloud features

Devlin Duldulao · LIVE

2:40 min

Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

1:55 min

Contrasting Terraform with Pulumi and cloud-specific tools

Devlin Duldulao · LIVE

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

Videos

See all

Related articles

See all