5 Backend Engineer jobs in Warsaw

?Become a Luxoft employee? Our Benefits: ?Paid Referrals ?Equipment: laptop and monitor ?Private Medical & Dental care & Life Insurance covered ?? ♀️ MyBenefit program (sports card, well-being program etc.) ? Internal Mobility program - possibility of rotation between projects, locations, accounts ? LuxTalent platform (webinars, training, courses) ...and more! Project Description: You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas. This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential....

We are a leading trading platform that is expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talent team. We are currently growing our Backend Team and looking for great Engineers with an interest in trading to join us! Our Engineering team plays a pivotal role in ensuring the robustness, speed, and security of our product. Dedicated to enhancing performance, providing a best-in-class user experience, ensuring compliance, and safeguarding data, the team's efforts directly impact our ability to offer clients a seamless and secure trading journey. We believe great engineering talent not only delivers excellent code, but also lives our values. We are looking for someone who is eager to go fast , willing to innovate and grow , who knows how to listen, respect and...

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description As part of Endava's strategic partnership with WTW, who provide data-driven, insight-led solutions in the areas of people, risk and capital, we're building dedicated software engineering teams to support WTW's Insurance Consulting and Technology Division. WTW's Insurance Consulting and Technology business is a global leader in P&C, Life and Health insurance software and advisory services, with over 1,700 colleagues across 35 markets. More than 1,000 insurers...

The world of digital assets is accelerating in speed, magnitude, and complexity, opening the door to new ways for leveraging the blockchain. Fireblocks’ platform and network provide the simplest and most secure way for companies to work with digital assets and it trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more. About Fireblocks Fireblocks is the institutional standard for digital asset security and settlement. We enable banks, fintechs, and exchanges—like BNY Mellon, Revolut, and ANZ—to securely navigate the blockchain economy. Our platform and network provide the simplest and most secure way for companies to work with digital assets. The Mission: Quality The Financial Apps unit builds the critical infrastructure that connects institutions to the digital asset economy. Our products cover everything from staking...

We’re hiring an Machine Learning Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: you’ll design and operate data pipelines that feed models, and you’ll build the tooling that trains, deploys, monitors, and retrains them. You’ll work closely with research engineers and product teams, taking models from experimentation to production-grade systems with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale. What You’ll Work On Build and operate ML lifecycle infrastructure, including model packaging, deployment, versioning, rollback, and CI/CD. Implement model monitoring, experiment tracking, and reproducibility. Build and maintain reliable batch and near-real-time data and feature pipelines,...