Technical Product Owner - Kubernetes Optimization (Remote)
About the Role
We are seeking a Technical Product Owner to join our team remotely. In this role, you will be pivotal in driving the development of our Kubernetes optimization platform, PerfectScale. As a Technical Product Owner remote, you will leverage your expertise to enhance cloud performance and minimize costs for our clients.
What You'll Do
- Lead fast iteration and backlog management to translate strategic objectives into actionable user stories and acceptance criteria.
- Maintain a disciplined approach to backlog refinement and sprint readiness, ensuring predictable delivery while fostering innovation.
- Utilize your hands-on DevOps experience to understand user workflows, identifying gaps and opportunities for improvement.
- Engage with customers regularly to validate product ideas and gather feedback, ensuring alignment with user needs.
- Collaborate closely with engineering teams to ensure product intent is maintained through implementation, focusing on UX, APIs, and operational behavior.
- Define success metrics for the product, tracking adoption, activation, and retention to measure outcomes effectively.
Requirements
- 3+ years of experience as a Product Owner or similar role in a technical environment.
- Strong understanding of Kubernetes and cloud technologies.
- Proven experience in agile methodologies and backlog management.
- Excellent communication skills, with the ability to engage stakeholders and customers effectively.
- Hands-on experience in DevOps practices and workflows.
Nice to Have
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Familiarity with Docker and container orchestration.
- Prior experience in a customer-facing role.
What We Offer
- Competitive salary and benefits package.
- Flexible remote work environment.
- Opportunities for professional development and growth.
- Collaborative and innovative team culture.
- Access to cutting-edge technology and tools.
This Technical Product Owner role at DoiT offers a unique opportunity to lead Kubernetes optimization efforts in a fully remote environment. With a competitive salary and a focus on professional growth, it's an attractive position for experienced candidates.
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