Responsibilities Solution Architecture & Strategy Architectural Ownership:

Own and drive end-to-end solution architecture across frontend, backend, data, integrations, and cloud infrastructure layers.

Requirements Translation:

Transform business goals into clear, actionable functional and technical designs while proactively identifying hidden dependencies, risks, and edge cases.

Artifact Creation:

Produce clear architectural documentation, including solution designs, data flows, integration diagrams, domain models, API contracts, and Architecture Decision Records (ADRs).

Platform Modernization:

Support platform evolution toward reusable, configurable capabilities rather than rigid, one-off implementations.

Stakeholder Management & Facilitation Collaborative Leadership:

Spend roughly 4+ hours daily in active collaboration—leading design workshops with Product, QA, Infrastructure, and engineering leads.

Executive Alignment:

Present technical roadmaps, architectural trade-offs, and risk assessments to senior stakeholders, directors, and VPs. Requirements Required Qualifications & Experience Business & Architecture Ambiguity to

Architecture:

Proven ability to turn high-level, unformed business ideas into implementable, production-grade technical designs.

Critical Analysis:

Strong track record of challenging incomplete or inconsistent requirements and defining boundaries between business needs, technical constraints, and implementation choices.

Communication:

Exceptional written and verbal presentation skills, suited for a high-touch, highly communicative onsite environment.

Technical Skills Domain Ecosystems:

Hands-on experience with

PIM , CMS

, or DAM platforms and enterprise e-commerce/retail ecosystems (catalog management, product modeling, SKU hierarchies).

Tech Stack:

Familiarity with Java, Spring / Spring Boot, and cloud-native, Kubernetes-based environments.

Full-Stack Awareness:

Deep understanding of full-stack ecosystems, including frontend, backend microservices, databases, APIs, CI/CD, cloud platforming, and observability.

Data & Messaging Systems:

Hands-on experience with SQL and NoSQL databases, alongside event streaming/messaging frameworks (e.g., Kafka).

Integration Patterns:

Proficiency in distributed systems, API-driven design, event-driven architectures, data schema transformations, and handling data consistency/versioning across complex systems. Bachelor's Degree in Computer Science or similar. Nice to have

Modern Development:

Experience utilizing AI-assisted software development tools, coding agents, or LLM-driven engineering workflows.

Legacy Modernization:

Proven experience modernizing or replacing legacy enterprise platforms while maintaining functional parity.

Global Delivery:

Prior experience partnering with distributed/offshore development teams. We offer Opportunity to work on cutting-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, vision, dental, etc. Corporate social events Professional development opportunities Well-equipped office Please note that all onboardings must occur in person and you may be asked to travel to attend. About us Grid Dynamics (

NASDAQ:

GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. 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, cloud & DevOps, application modernization and customer experience. 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