Staff Engineer - Pricing

Jobgether SRL; Italia; Remote; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

Remote-first working

Remote-work allowance

Wellbeing allowance

Birthday leave

Job summary

Jobgether SRL, in collaboration with a partner company, seeks a Staff Engineer – Pricing based in Italy to own the pricing backend for a modern energy transaction platform. You will build the Pricing API and enable secure, scalable third-party access while balancing performance, correctness, and reliability.

This remote-first role combines backend engineering, numerical systems, and product thinking in a high-impact domain, influencing architectural decisions and engineering standards across

Qualifications

• Deep production experience with Python backend engineering and APIs.
• Proven ownership of production systems and senior escalation capability.
• Experience leading decoupling or migrations of live systems.
• Strong skills with FastAPI and SQL in data-heavy contexts.
• Ability to set tech direction across teams and negotiate ownership models.

Responsibilities

• Build, evolve, and operate the Pricing API for third-party consumption.
• Lead extraction of pricing logic into a dedicated service.
• Manage architectural migrations while protecting functionality.
• Design monitoring and alerting for pricing reliability.
• Be a senior technical authority in pricing domain.
• Collaborate across teams to improve development throughput with AI workflows

Skills

Python backend

FastAPI

SQL

Pricing systems

AI tooling

Tools

PostgreSQL

AWS Lambda

Polars

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 Italy. 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.

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!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.