About the Role
We're looking for a Java Tech Lead with 10-12 years of experience and a deep understanding of building high-performing, scalable, and personalized digital commerce solutions. You’ll lead the technical implementation of customer-facing storefronts, integrations, and backend services that power modern digital experiences. This role blends strong hands-on Java expertise with the strategic mindset needed for digital transformation and integration with pre-existing components running on non-Java platforms.
Key Responsibilities
Document and implement robust Java-based eCommerce platforms, storefront services, and headless APIs for digital experiences.
Lead design and implementation of microservices for customer journeys such as search, browse, cart, checkout, and personalization.
Experience designing, configuring and supporting RDBMS solutions in Azure Cloud.
Work closely with Product Managers, UI/UX teams, and DevOps engineers to ensure seamless end-to-end customer experiences.
Integrate with key systems like PIM, OMS, CRM, payment gateways, and third-party personalization engines.
Design and implement component integration solutions using message brokers such as AMQP based messaging solutions such as RabbitMQ, Azure Service Bus for real-time data processing, order events, customer activity tracking, etc.
Support cloud-native deployments on Azure, AWS or GCP ensuring scalability, availability, and security.
Drive performance tuning, caching strategies (Hazelcast, Redis), and low-latency API designs for high traffic storefronts.
Provide technical leadership across squads, mentor engineers, and enforce best practices around DevSecOps and CI/CD.
Ensure observability requirements are defined and met using tools such as Datadog and Splunk.
Stay abreast of the latest in commerce tech, MACH architecture, and GenAI innovations relevant to digital commerce, including agentic AI for developer productivity.
Must-Have Skills
Core Tech: Java 11+ (preferably Java 17 or 21), Spring Boot, J2EE, RESTful APIs
Architecture: Microservices, Design Patterns
DevOps: Jenkins, Docker, Bitbucket/GitHub, CI/CD pipelines
Cloud: Hands-on experience with Azure(preferred)/ AWS / GCP (2+ years; certification preferred)
Databases: Postgres/Oracle/DB2/SQL, SQL tuning
Full-cycle exposure to SDLC stages: requirements, development, testing, deployment and on-going operations
Understanding of DevSecOps practices and eCommerce-specific security concerns (PCI DSS, OWASP)
Domain Expertise: Experience in digital commerce
Messaging & Integration: Messaging queue or streaming tools for backend-to-frontend event correlation and third-party integrations
Agile Leadership: Strong understanding of Scrum, backlog grooming, iteration planning, technical sizing
Experience with agentic coding tools (e.g., OpenCode, ClaudeCode, or equivalent) for accelerating Java development, test automation, and CI/CD workflows.
Customer-Centric Mindset: Ability to build as well as verify secure, fast, and intuitive systems for high engagement and conversion
Nice-to-Have Skills
Experience with Domain-Driven Design.
Front-end familiarity with React (especially for headless commerce architectures)
Experience with application performance monitoring and distributed log tools (New Relic, Datadog, Splunk)
Previous work with GenAI tools like GitHub Copilot or Amazon Q Developer
Experience with data governance including controlling access to PII.
RFP and pre-sales solution design experience for digital commerce platforms
Design and implement solutions that externalized business rules in dedicated testable business rules engine
Evaluate and integrate third-party APIs, legacy systems (.NET, IBM iSeries), REST and GraphQL services.
Knowledge of infrastructure-as-code solutions such as Terraform.
Understanding of product catalog and session management at scale
Preferred Certifications
Cloud Certifications (Azure Architect, AWS Solution Architect, etc.)
Java / Spring Certification
eCommerce platform certifications (SAP Commerce Cloud, Salesforce Commerce Cloud, Adobe Commerce/Magento – a plus)
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
