Grid Dynamics

www.griddynamics.com

2 Jobs

4,156 Employees

About the Company

Grid Dynamics empowers enterprise-scale companies to drive revenue growth, boost efficiency, and maximize the impact of their digital modernization initiatives.

Our clients span diverse industry verticals such as Retail, Manufacturing and CPG, Insurance, Wealth Management, Banking and Payments, Pharma and Life Sciences, and High-tech. We co-innovate with clients to help them solve complex business challenges and uncover new revenue streams through our technology consulting, platform and product engineering, AI, and advanced analytics services.

With expertise in simplifying and modernizing business operations, we enable clients to make data-driven decisions and support an evolving digital customer, from initial engagement to post-purchase support, driving efficiency and growth across business operations.

In addition to our work with enterprise leaders, we serve as a trusted co-innovation partner for startups, helping them address key challenges and transition into young enterprises poised for sustainable growth. By combining our deep technical expertise with a collaborative approach, we empower businesses—from startups to enterprises—to reach new heights.

A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, application modernization, cloud & DevOps, and customer experience. Grid Dynamics offers a range of starter kits to its clients, enabling increased speed-to-market with business driving solutions.

Grid Dynamics is headquartered in Silicon Valley with a global footprint (Americas, Europe, and India) and a follow-the-sun delivery model bolstered by engineering talent driven by innovation, technical mastery, and resulting in transformational business outcomes.

Listed Jobs

Company Name: Grid Dynamics
Job Title: Senior Software Developer
Job Description: Senior Software Developer Role Summary: Lead development of cloud-native financial trading platform components. Expactations: Proven experience in cloud-native Kotlin/Java backend development; readiness to learn Kotlin if not familiar. Experience in financial industry an advantage. Key Responsibilities: Design, develop, and test scalable distributed systems for pre- and post-trade processes; collaborate with global teams on high-impact solutions; architect platform components using GCP, Kubernetes, and event-driven workflows; implement and maintain cloud-native infrastructure and CI/CD pipelines. Required Skills: Proficiency in Kotlin (preferred) or Java; cloud-native technologies (GCP, Kubernetes); data storage (PostgreSQL); messaging systems (Pub/Sub, Kafka); experience with distributed systems and problem-solving in mission-critical environments. Required Education & Certifications: Bachelor’s degree in Computer Science, Engineering, or related field; certifications in cloud (e.g., GCP, Kubernetes) or DevOps practices preferred.

London, United kingdom

Hybrid

Senior

25-09-2025

Company Name: Grid Dynamics
Job Title: Data Scientist
Job Description: Job Title: Data Scientist Role Summary: Lead research and development of NLP and computational linguistics solutions, focusing on designing robust evaluation metrics, scalable data pipelines, and methodologies for large‑scale language models. Expectations: Deliver high‑quality, scalable evaluation frameworks; produce publishable research; integrate insights into production systems; maintain clear technical documentation. Key Responsibilities: - Research and develop NLP models with a focus on linguistic analysis and evaluation. - Design, deploy, and maintain distributed data pipelines (e.g., Spark, Hadoop) to compute evaluation metrics from large datasets. - Define and implement robust evaluation metrics and statistical sampling methods for model assessment. - Develop and evaluate Large Language Model features ensuring high‑quality outputs. - Conduct computational linguistics research and present findings at top NLP conferences (ACL, EMNLP, etc.). - Produce clear, comprehensive technical documentation on methodologies, frameworks, and results. - Collaborate cross‑functionally with engineers, researchers, and product teams to operationalize research insights. Required Skills: - Advanced knowledge of NLP model development and deployment. - Experience building scalable data pipelines (Spark, Hadoop, or equivalent). - Strong background in linguistic analysis, statistical modeling, and NLP evaluation. - Proven track record of publishing research in leading NLP conferences. - Hands‑on experience with Large Language Model development and evaluation. - Excellent technical writing and stakeholder communication skills. - Ability to work collaboratively in multidisciplinary teams. Required Education & Certifications: - Ph.D. or Master’s degree (or equivalent) in Computational Linguistics, NLP, or a closely related field. - Demonstrated research experience and publications in computational linguistics/NLP.