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Technical Product Owner, Kubernetes - PerfectScale at Jobgether – Canada Creek, Nova Scotia

Jobgether
Canada Creek, Nova Scotia, B0P 1V0, Canada
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About This Position

Technical Product Owner, Kubernetes - PerfectScale

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Technical Product Owner, Kubernetes - PerfectScale in Canada.

In this role, you will sit at the intersection of product strategy, engineering execution, and real-world Kubernetes operations. You will help translate high-level product vision into clear, actionable delivery plans that guide engineering teams in building impactful capabilities for cloud optimization at scale. Working closely with DevOps, SRE, and platform engineering stakeholders, you will shape solutions that improve Kubernetes efficiency, reliability, and cost performance. This is a highly technical, hands-on product role where continuous iteration, customer feedback, and data-driven decisions are central. You will engage directly with customers and internal experts to validate ideas, refine priorities, and ensure real operational value. The environment is fast-moving, collaborative, and deeply rooted in cloud-native engineering practices.

Accountabilities

You will be responsible for turning product strategy into an executable, well-prioritized backlog that enables continuous delivery. You will work closely with engineering teams to ensure clarity of scope, sequencing, and acceptance criteria, supporting fast iteration and frequent releases. You will engage directly with customers and internal stakeholders to validate assumptions, gather feedback, and ensure alignment with real-world Kubernetes operations.

  • Translate product strategy into a structured, actionable backlog with clear user stories and acceptance criteria
  • Maintain a disciplined delivery cadence through backlog refinement, sprint planning, and scope prioritization
  • Collaborate daily with engineering teams to ensure technical feasibility and delivery alignment
  • Conduct regular customer conversations to validate needs and improve product direction
  • Define success metrics and ensure product outcomes are measurable and tracked effectively
  • Support release readiness, including documentation, enablement, and communication of value
  • Ensure product decisions reflect real cloud environments, including security, IAM, and operational constraints
Requirements

This role requires strong technical product management experience combined with hands-on familiarity with cloud infrastructure and Kubernetes environments. You should be comfortable working closely with engineering teams, translating complex technical challenges into clear product direction, and engaging with DevOps and platform engineering stakeholders. Strong communication, prioritization, and problem-solving skills are essential in a fast-paced, iterative environment.

  • 3+ years of product management or technical product ownership experience in Kubernetes or related cloud-native ecosystems
  • 2–5 years of experience working with public cloud infrastructure in production environments
  • Strong understanding of Kubernetes, DevOps workflows, and cloud operations concepts (IAM, networking, observability, cost management)
  • Ability to break down complex technical problems into clear, deliverable product requirements
  • Experience collaborating closely with engineering teams on technical tradeoffs and delivery planning
  • Strong customer-facing communication skills with the ability to simplify complex technical topics
  • Coding or hands-on technical background is a plus (e.g., Python, JavaScript, or similar)
  • Strong bias for action, iteration, and continuous improvement
Benefits
  • Fully remote work with global flexibility across multiple countries
  • Unlimited paid time off and flexible working arrangements
  • Comprehensive health insurance coverage
  • Parental leave support
  • Employee stock option plan
  • Home office allowance
  • Professional development stipend for learning and growth
  • Peer recognition programs and collaborative remote-first culture
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location

Canada Creek, Nova Scotia, B0P 1V0, Canada

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