Full-Stack Engineer

We're looking for an experienced Senior/Lead Fullstack Engineer for our client to join the team responsible for building a new, scalable finance and accounting platform.

If you enjoy solving complex platform-related problems, working in distributed teams, and building reliable systems that support critical financial operations, this opportunity is for you!

What you can expect from us?

• Flexible contract options: Employment Contract (UoP) or B2B Contract.
• Hybrid work model: 4 days form the Wroclaw office (Centrum Południe)
• Private medical care (co-funded).
• Sports card.
• Life insurance coverage.

Employment agency entry number 47

this job offer is intended for people over 18 years of age

What will your tasks involve?

• Modernize Eagle Accounting platform capabilities by building scalable services for high-volume accounting and data processing workflows.
• Build a multi-tenant, cloud-based accounting platform capable of ingesting data in both real-time and batch modes.
• Design, build, test, deploy, and operate highly scalable API-driven services, primarily using Java, with SQL and NoSQL databases, hosted in Microsoft Azure and on-prem platforms.
• Evolve legacy platform capabilities into modern cloud-ready and API-first services.
• Provide technical leadership across design, implementation, testing, deployment, and production support while mentoring engineers and helping the team maintain high standards for quality, resiliency, scalability, and maintainability.
• Build software with strong attention to reliability, observability, auditability, data quality, and operational controls in a highly regulated financial services environment.
• Strengthen platform reliability through improved monitoring, observability, resiliency, and production support practices.
• Work within an Agile delivery model, adhering to team architecture standards and engineering best practices.
• Lead design discussions and help teams make practical architecture decisions.
• Take true end-to-end ownership of your code from ideation and implementation through production support and optimization.
• Collaborate with Product Management, UX, clients, operations, architects, and globally distributed engineering teams to translate accounting and data requirements into secure, maintainable technical solutions.
• Contribute to rapid, high-quality delivery through a mature CI/CD pipeline, automation, reusable patterns, and DevOps ecosystem.
• Use AI-assisted engineering tools responsibly to accelerate design, coding, testing, documentation, and troubleshooting while maintaining high standards for security, quality, and review.

What we expect from you?

• Bachelor's degree in computer science, Computer Engineering, or equivalent practical experience.
• 7+ years of progressive experience building large-scale distributed software systems.
• Strong hands-on experience with Java and API-driven backend services.
• Experience with SQL and/or NoSQL databases and enterprise data platforms.
• Experience designing, building, testing, deploying, and supporting production-grade services.
• Familiarity with cloud or hybrid hosting models, preferably Microsoft Azure and on-prem platforms.
• Experience with CI/CD pipelines, DevOps practices, automated testing, and modern engineering toolchains.
• Ability to work effectively with geographically distributed engineering teams.
• Strong communication skills with the ability to explain technical decisions, tradeoffs, and risks clearly.
• Ability to mentor engineers through design reviews, code reviews, delivery planning, and production readiness discussions.

Preferred

• Experience in financial services, investment accounting, asset servicing, data platforms, or transaction processing systems.
• Experience with Oracle, Snowflake, or similar enterprise data platforms.
• Experience with Python, TypeScript/Angular, Kafka, Spark, or other streaming and distributed systems technologies.
• Experience modernizing legacy platforms into cloud-ready, API-first services.
• Experience using AI-assisted tools across the software development lifecycle.
• Experience building or integrating AI-enabled applications.