Staff Engineer - Pricing

Jobgether SRL

Netherlands

Remote

EUR 120,000 - 180,000

Full time

13 hours ago
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Benefits offered by this job

Stock options
Remote-first working
Remote-work allowance

Job summary

Jobgether SRL is seeking a Staff Engineer – Pricing in the Netherlands. You will own the Pricing API and drive the extraction of pricing logic into a standalone service, optimizing for speed, accuracy, and explainability.

The role emphasizes architectural leadership, cross-team collaboration, and AI-assisted engineering workflows. The position offers remote-first work with strong emphasis on reliability, data integrity, and scalable infrastructure for real-time energy pricing and fintech-like

Qualifications

  • Proven Python backend experience designing, building and owning APIs at scale.
  • Ability to take ownership of production systems and act as escalation point for complex backend issues.
  • Experience leading decoupling, migrations or architecture transformations in live systems.

Responsibilities

  • Build, evolve, and operate the Pricing API for speed, reliability, accuracy, and third-party consumption.
  • Lead extraction of pricing logic into a dedicated service with clear boundaries.
  • Manage architectural migrations and decoupling while preserving functionality.
  • Own pricing reliability with monitoring and alerting to catch incorrect or slow prices.
  • Ensure pricing failures are explainable with robust diagnostic mechanisms.
  • Improve pricing performance and reduce quote latency through architectural optimizations.
  • Act as senior technical authority in pricing, shaping standards and practices.
  • Foster engineering growth via pairing, knowledge sharing, and AI-assisted workflows.
  • Escalate live pricing incidents and translate learnings into durable improvements.
  • Balance speed, accuracy, reliability, cost, and explainability in decisions.

Skills

Python backend
API ownership
FastAPI
SQL
Data-intensive systems
AI coding tools
Multi-agent workflows
AWS / Serverless
PostgreSQL (RDS)
Polars
Pricing domain knowledge
Communication & leadership

Tools

AWS
PostgreSQL (RDS)
Serverless (Lambda)
Polars
Claude / AI tools

Job description

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 Netherlands.

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.
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