Staff Engineer - Pricing
New
J
JobgetherEnergy pricing
Based in GermanyFull-TimeStaff
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonSQLFastAPI
Requirements
- Deep production experience with Python backend engineering, including designing, building, and owning APIs at scale.
- Experience taking technical ownership of production systems and serving as a senior escalation point for complex backend issues.
- Experience leading a significant decoupling, migration, or architectural transformation of a live system without disrupting critical dependencies.
- Strong proficiency with FastAPI and SQL.
- Experience designing systems where data accuracy, performance, reliability, and explainability are critical.
- Ability to establish technical direction across organizational boundaries and negotiate service contracts and ownership models.
- Strong product engineering judgment to balance speed, accuracy, and explainability.
- Experience using AI coding tools such as Claude or similar in everyday engineering workflows.
- Ability to design and implement multi-agent engineering workflows that improve team development throughput.
- Strong communication and leadership skills to influence senior engineers and stakeholders without formal authority.
- Energy pricing, fintech, financial systems, or modern utility platform experience is desirable.
- Experience building APIs for external third parties is a plus.
- Familiarity with AWS, serverless architectures, Lambda, event-driven services, and PostgreSQL on RDS is beneficial.
- Experience with Polars or a track record of optimizing numerical and data-processing code is an advantage.
Responsibilities
- Build, evolve, and operate the Pricing API for reliable, accurate pricing and third-party consumption.
- Extract pricing logic into a dedicated service and establish maintainable boundaries with neighboring teams.
- Lead architectural migrations and decoupling while protecting existing functionality and dependent systems.
- Design monitoring, detection, and alerting to identify incorrect or slow prices before they reach customers.
- Create mechanisms to diagnose and explain why a quote cannot be produced.
- Optimize architecture and technical systems to improve pricing performance and reduce quote latency.
- Contribute to architecture decisions, design reviews, engineering standards, and development practices.
- Guide engineers through pairing, knowledge sharing, and AI- and multi-agent-assisted workflows.
- Serve as an escalation point for live pricing incidents and turn operational learnings into improvements.
- Influence technical direction across teams and align stakeholders on service boundaries and ownership.
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