Senior Azure Optimization Engineer

Note:

• This is a fully remote role working in the US Eastern Time Zone. Only candidates located in Central or Eastern Time Zones will be considered.
• No sponsorship is available for this position.

Senior Azure Optimization Engineer

We deliver a high-trust, high-competence customer experience around cloud optimization, and we’re productizing that expertise into our agentic platform. This role is for an engineer who can manually assess, design, and execute cloud optimization work in real customer Microsoft Azure environments today, while also helping us validate, calibrate, and improve the agent-driven workflows that will increasingly do that work tomorrow.

You’ll operate as a solutions-driven technical partner to customer stakeholders, navigate objections and organizational dynamics, and translate technical choices into win-win business outcomes. You’ll use AI daily to move faster and deliver better results, and you’ll partner closely with Product and Engineering to evaluate our flagship product savings opportunities and execution plans, passing or failing them against real-world constraints, improving accuracy and safety, and accelerating the roadmap based on what you learn in the field.

Responsibilities

• Customer Outcomes & Optimization Delivery: Manually assess customer Azure environments (and Amazon Web Services (AWS) environments where customers run both), identify optimization opportunities, quantify impact, propose solutions, and execute approved changes safely and efficiently, delivering measurable savings and operational improvements.
• Output Review & Calibration: Review cost-savings opportunities, recommendations, and execution plans generated by us. Validate assumptions, safety, feasibility, and expected impact; approve or reject proposed work; and provide structured feedback that improves agent accuracy, reliability, and customer readiness over time.
• Build Trust & Navigate Stakeholders: Build and nurture strong customer relationships through clear communication, genuine care, and consistent follow-through. Confidently navigate technical discussions with both technical and non-technical stakeholders, overcome objections by bringing options and recommendations, and make approvals easy.
• Big-Picture Decision Support: Connect day-to-day optimization work to customer goals and our strategy. Explain the business and technical implications of decisions (cost, risk, reliability, performance, operational overhead), and guide stakeholders toward win-win outcomes.
• Agent Improvement Feedback Loop: Capture patterns in agent errors and blind spots (for example, missing context, risky sequencing, unclear rollback, incomplete stakeholder info). Propose rubric changes, training examples, and workflow improvements; partner with Product and Engineering to measurably improve quality and safety.
• Pull Request-Quality Change Proposals: Produce clear, decision-ready deliverables that quantify business value up front, document risks and mitigations, and demonstrate safety and rollback ability, so customers are making decisions, not providing direction. Where our Product drafts artifacts, you’ll refine them and bring them up to our standards.
• Execution with Reliability & Urgency: Own work end-to-end with a strong sense of responsibility. Capture commitments, hit deadlines, communicate status proactively, escalate early, and close the loop visibly. No surprises.
• AI-Enabled Delivery: Use AI tools daily to accelerate investigation, documentation, analysis, and implementation planning, raising quality, reducing cycle time, and improving customer outcomes while maintaining sound engineering judgment.
• Agent Work Product Evaluation & Feedback: Evaluate, score, and provide actionable feedback on agent-driven outputs (findings, plans, execution steps, customer comms) to continuously improve reliability, safety, and usefulness.
• Product Partnership & Roadmap Input: Partner with Product to convert customer problems and recurring friction into clear problem statements, capability gaps, and roadmap recommendations, bringing evidence and pattern recognition from the field.
• Cross-Functional Collaboration: Work in high-visibility channels with Engineering, Product, and Customer teams; share context broadly; ask questions early; and support a safe culture where we learn fast without introducing risk through isolation.
• **Operational Excellenc…