Technology Capabilities
Technology CapabilitiesLead Software Engineer
Engineering
5-10 years
Ukraine
Algorithmic Programming, Applied Mathematics, Azure, CI/CD Pipeline Management, data structure and algorithm analysis and design, Python
Remote
Join a cutting-edge initiative to develop a next-generation, closed-loop causal knowledge generating reinforcement learning system based on proprietary and patented algorithmic methods. These advanced causal inference and reinforcement learning algorithms have already been deployed across multiple domains in a Fortune 500 company, powering applications ranging from e-commerce content generation and targeting to large-scale factory optimization and control.
This project will push the frontiers of adaptive learning and real-time decision-making, creating a modular, reusable codebase that can be flexibly redeployed across various high-impact systems. As part of this effort, the team will develop synthetic data generation systems to rigorously test and optimize these algorithms, ensuring they perform as if interacting with real-world environments.
#LI-OC2 #REMOTE
Required Qualifications:
● Master’s or Ph.D. in Computer Science, Software Engineering, Applied Mathematics, or a related field.
● 10+ years of experience in Python development and software architecture, with a focus on designing, structuring, and managing complex computational systems.
● Strong background in numerical computing, statistical modeling, and algorithm optimization.
● Proven ability to translate complex mathematical models into efficient, maintainable, and scalable code.
● Expertise in implementing high-performance Python-based systems for complex computational tasks.
● Advanced understanding of data structures, algorithms, and software engineering best practices.
● Solid experience in optimizing code for performance and scalability.
● Strong ability to collaborate with cross-functional teams, particularly with statistical computing and reinforcement learning experts, to integrate and refine statistical machine learning algorithms.
● Demonstrated ability to maintain system robustness, reliability, and integrity in complex environments.
Preferred Qualifications:
● Experience working with high-performance computing environments.
● Familiarity with containerization and orchestration technologies (e.g., Docker).
● Knowledge of cloud platforms, and experience with AWS, Azure or Google Cloud) for deploying and managing computational systems.
● Experience with version control systems (e.g.,including Git)
● Knowledge of MLOps principles to enhance the development and deployment lifecycle of computational systems.
● Design, implement, and optimize the DCL systemstatistical computing and reinforcement learning systems with a focus on high-quality, modular, and reusable Python code.
● Collaborate closely with mathematical experts to integrate complex statistical models and algorithms into the system.
● Ensure the robustness, integrity, and scalability of the system through careful architectural planning and performance optimization.
● Write clean, maintainable, and well-documented code that adheres to best practices in software engineering.
● Troubleshoot, debug, and optimize existing systems, focusing on performance and stability.
● Maintain and improve system performance while ensuring it meets the computational requirements of various tasks.
● Lead the architectural design of complex software systems.
Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.
Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.