Company Description
InPost Pay is building its own fintech platform from the ground up. It’s a large-scale, international initiative where engineers will have the opportunity to shape the architecture, build core fintech components, and create solutions designed to operate at InPost’s scale.
We’re building a lean, highly effective engineering organization in Poland, with AI-native engineering at its core. We’re looking for strong engineers who are comfortable with agentic engineering, from experienced professionals building complex systems and engineering tooling to a new generation of engineers who have embraced AI-driven development from the start of their careers.
Job Description
Your key responsibilities:
- Lead and develop the team – hire, onboard, and mentor 4–5 senior engineers, holding a high engineering quality bar through regular 1:1s, growth planning, and performance management.
- Co-author the product roadmap – partner with the PM to bring engineering constraints and opportunities into quarterly planning, rather than simply receiving it.
- Own delivery end-to-end – drive sprint planning, dependency mapping, risk identification, and stakeholder expectation management across the team's domain.
- Provide technical leadership – uphold code review culture, testing standards, and architectural direction in partnership with the Staff Engineer, while promoting engineering excellence.
- Drive an AI-first, agentic team culture – embed agentic tools into daily workflows, enforce harness adoption, and track data-driven delivery metrics (DORA, cycle time, harness adoption).
- Own incident response for the team's domain – lead post-mortems and remediation, ensuring reliability and continuous improvement.
Qualifications
Must have:
- 7+ years of experience in backend software development.
- 2+ years of experience in people leadership (direct management of engineers).
- 2+ years of experience in the payments or fintech product domain.
- Very good command of English (B2+) in speech and writing.
- Strong technical credibility, with active engagement in architecture and code review, not removed from it.
- Experience in delivery management: sprint planning, dependency tracking, risk management, and DORA metrics.
- Product co-ownership mindset – experience shaping roadmaps and backlogs in close partnership with Product Management.
- University degree in Information Technology, Computer Science, or a related field.
- Proficiency in leveraging AI tools and large language models (e.g., GitHub Copilot, ChatGPT, Claude) to enhance productivity, accelerate development, and solve complex problems.
- Ability to critically evaluate AI-generated outputs and apply them responsibly within professional workflows.
- Data-driven approach to management, acting on metrics such as cycle time, deployment frequency, defect rates, and team health rather than impressions alone.
- Direct, clear communication style with stakeholders at all levels, including senior leadership.
Nice to have:
- Experience in platform or infrastructure team management.
- Exposure to OKR / goal-setting frameworks for engineering teams.
- Familiarity with compensation and leveling frameworks.
- Experience designing engineering culture in agentic / AI-native environments.
- Cloud certifications (AWS, Azure, GCP).
Additional Information
Why InPost?
- Opportunity to work in a diverse, international, and cross-functional environment, along with leading experts.
- You work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries.
- InPost is a growing company that offers its people an increasing number of opportunities in several locations in Europe.
- Fulfilling careers with a range of benefits for people and investing in providing training opportunities for their development.
- You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day.
- Excellent working environment and flexible hours
- We offer B2B type of contract