Staff Engineer - Pricing

Lever, Inc.; Deutschland; Remote; EUR 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Stock options

25 days leave

Birthday leave

Remote-first

Meeting-free Fridays

Remote work stipend

Wellbeing allowance

Inclusive environment

High-impact ownership

Modern engineering culture

Zusammenfassung

Lever, Inc. is seeking a Staff Engineer – Pricing based in Germany. This high-impact role builds pricing infrastructure for a modern energy platform, owning the Pricing API and data-heavy backend that drives financial outcomes.

You will lead architectural decoupling, set engineering standards, and influence cross-team direction in a remote-first environment with AI-assisted development.

Qualifikationen

• Proven Python backend API ownership at scale.
• Experience with FastAPI and SQL in data-intensive systems.
• Ability to lead decoupling or architectural migrations without disrupting dependencies.
• Experience using AI coding tools in daily engineering workflows.
• Strong communication and leadership without formal authority.
• Experience in energy pricing, fintech, or financial systems is desirable.

Aufgaben

• Build, evolve, and operate the Pricing API for speed, reliability, accuracy, explainability, and third-party consumption.
• Lead the extraction of pricing logic into a dedicated service with clear boundaries.
• Manage architectural migrations and decoupling while protecting existing functionality.
• Own pricing reliability with monitoring and alerting to catch incorrect or slow prices.
• Ensure pricing failures are diagnosable and explainable with robust tooling.
• Improve pricing performance and reduce quote latency through architectural optimization.
• Serve as a senior technical authority for pricing architecture and standards.
• Enhance team capability via pairing, knowledge-sharing, and AI-assisted workflows.
• Act as escalation point for live pricing incidents and derive durable improvements.
• Balance speed, accuracy, reliability, cost, and explainability in decisions.
• Influence technical direction across teams and negotiate ownership models.

Kenntnisse

Python backend engineering

FastAPI

SQL

AI coding tools (Claude)

Multi-agent workflows

Pricing domain knowledge

Leadership without authority

Strong communication

Tools

AWS

Serverless architectures

PostgreSQL on RDS

Polars

Jobbeschreibung

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer – Pricing based in Germany.

This is a high-impact staff-level engineering role focused on building the pricing infrastructure behind a modern energy transaction platform. You’ll own the backend and data-heavy systems responsible for pricing real energy contracts, where correctness directly affects financial outcomes and performance builds customer trust. You’ll shape a new Pricing API from initial architecture through production readiness and eventual third-party access. The role combines backend engineering, numerical systems, data, reliability, and product thinking in a highly consequential domain. You’ll also lead significant architectural decoupling, establish engineering standards, and influence technical direction across teams without relying on formal management authority. The environment is remote-first, collaborative, and focused on using modern AI-assisted engineering workflows to increase team productivity.

Accountabilities:

• Build, evolve, and operate the Pricing API, ensuring it is fast, reliable, accurate, explainable, and ready for third-party consumption.

• Lead the extraction of pricing logic from surrounding systems into a dedicated service, establishing clear and maintainable boundaries with neighboring teams.

• Manage significant architectural migrations and decoupling initiatives while protecting existing functionality and minimizing disruption to dependent systems.

• Own pricing reliability by designing detection, monitoring, and alerting systems that identify incorrect or slow prices before they reach customers.

• Ensure every pricing failure can be understood and explained, creating robust mechanisms for diagnosing why a quote cannot be produced.

• Improve pricing performance and reduce quote latency across the customer experience through architectural and technical optimization.

• Act as a senior technical authority within the pricing domain, contributing to architecture decisions, design reviews, engineering standards, and development practices.

• Raise the effectiveness of the wider engineering team through pairing, knowledge sharing, technical guidance, and AI- and multi-agent-assisted development workflows.

• Serve as a key escalation point for live pricing incidents and convert operational learnings into durable architectural and product improvements.

• Balance speed, numerical correctness, reliability, cost, and explainability when making technical and product engineering decisions.

• Influence technical direction across teams, negotiating service boundaries and aligning stakeholders without direct management responsibility.

Requirements:

• Deep production experience with Python backend engineering, including designing, building, and owning APIs at scale.

• Demonstrated experience taking technical ownership of production systems and acting as a senior escalation point when complex backend issues arise.

• Proven experience leading a significant decoupling, migration, or architectural transformation of a live system without disrupting critical dependencies.

• Strong proficiency with FastAPI and SQL, ideally within data-intensive or analytics-heavy systems where numerical correctness has direct financial consequences.

• Experience designing systems where data accuracy, performance, reliability, and explainability are critical requirements.

• Ability to establish technical direction across organizational boundaries and negotiate effective service contracts and ownership models with neighboring teams.

• Strong product engineering judgment, with the ability to understand how pricing information is consumed and deliberately balance speed, accuracy, and explainability.

• Experience using AI coding tools such as Claude or similar technologies as part of everyday engineering workflows.

• Ability to design and implement multi-agent engineering workflows that improve development throughput across a team, rather than simply using AI tools individually.

• Strong communication and leadership skills, with the ability to influence senior engineers and stakeholders without relying on formal authority.

• Experience with energy pricing, fintech, financial systems, or modern utility platforms is desirable.

• Experience building APIs intended for consumption by external third parties is a plus.

• Familiarity with AWS and serverless architectures, including Lambda, event-driven services, and PostgreSQL on RDS, is beneficial.

• Experience with Polars or a demonstrated track record of optimizing numerical and data-processing code is an advantage.

Benefits:

• Competitive salary: Compensation is positioned at a competitive level for a Staff Engineer role, with the exact local equivalent determined by location and experience.

• Stock options: Receive equity so employees can share in the long-term value created by the business.

• Generous time off: 25 days of annual leave plus public holidays, with the flexibility to swap public holidays for days that are more meaningful to you.

• Birthday leave: Enjoy your birthday as an additional day off.

• Remote-first working: Work remotely with flexible arrangements and clearly defined core hours.

• Meeting-free Friday afternoons: Dedicated time for focused work, learning, and personal priorities.

• Remote-work allowance: Up to £1,200 or €1,400 per year toward your home-office and remote-working setup.

• Wellbeing allowance: Up to £150 or €170 per month to support your health and wellbeing.

• Inclusive environment: Applications are welcomed from people of all backgrounds, experiences, and identities, including those traditionally underrepresented in technology and energy.

• High-impact technical ownership: Work on infrastructure where engineering decisions directly influence financial accuracy, customer trust, and the modernization of a major global industry.

• Modern engineering culture: Contribute to an environment that embraces AI-assisted and multi-agent engineering workflows and encourages continuous improvement.