Designs and evolves reusable Java backend frameworks and platform components, leads large-scale modernization and migration initiatives, and resolves complex distributed-systems issues. The role establishes architecture standards, API and security practices, and deployment patterns across Spring, Kafka, AWS, Docker, Kubernetes, and database platforms. It also builds technology proofs of concept, mentors architects and engineers, drives AI-assisted development and observability adoption, and collaborates with architecture, product, and engineering stakeholders.
Key Responsibilities
- Design, build, and evolve core frameworks and reusable platform components.
- Perform hands-on coding for technology upgrades and migrations (Java/Spring/Jakarta/Tomcat and related platform components).
- Own and drive large-scale modernization initiatives across services and shared libraries.
- Build and evaluate POCs to assess new technologies, patterns, and platform capabilities.
- Resolve complex technical issues across frameworks, distributed services, and integration layers.
- Ensure implementation alignment with platform and enterprise architecture.
- Define, review, and enforce coding standards, framework usage policies, and technical guidelines.
- Mentor architects, tech leads, and engineers; guide design and code quality decisions.
- Drive adoption of emerging technologies including AI-assisted development, cloud-native tooling, and observability practices.
- Collaborate with architecture, product, and engineering stakeholders for execution and delivery alignment.
Essential Experience Java & Backend
- Strong Java proficiency across mixed runtimes (legacy and modern), with migration ownership toward modern LTS baselines (JDK 11+, preferably JDK 17).
- OOP concepts, SOLID principles, and design patterns.
- Spring Framework, Spring Boot, Spring MVC, and Spring Security.
- RESTful API design and implementation.
- JPA and Hibernate.
API & Integration
- Strong API governance and specification experience using Swagger/OpenAPI.
- Experience with event-driven architecture and messaging patterns: Kafka producers/consumers, event contracts, serialization formats (JSON, Avro).
- Strong validation and business-rule enforcement patterns in API and service layers.
- Security and authentication implementation including OAuth2, JWT, and API security best practices.
Data & Schema
- Hands-on No-SQL and relational database experience (PostgreSQL preferred; MongoDB/Cassandra exposure is valuable).
- Strong database schema evolution practices using versioning/changelog approaches (Liquibase).
Platform & Delivery
- Strong experience in framework/platform-level development (not only feature-level application coding).
- Proven experience in migration and upgrade programs across core platform components.
- Experience with application container runtimes and deployment packaging patterns (Tomcat, containerized deployments).
- AWS ecosystem exposure (preferred).
- Docker containerization.
- CI/CD pipelines with Jenkins and Git-based workflows.
- Kubernetes/EKS and Helm-based deployment patterns (preferred).
Leadership & Practices
- Strong debugging, performance analysis, and production problem-solving capabilities.
- Experience working in Agile development environments.
- Strong communication, cross-team collaboration, and technical leadership capability.
- Proficiency with AI-assisted development tools (e.g., GitHub Copilot or similar) for productivity, code quality, and accelerated delivery.
Good to Have
- Front-end ecosystem awareness in JavaScript/TypeScript-based environments.
- Observability tooling and SRE-aligned engineering practices.
Technology Landscape
This role spans two product platforms:
CRS
- Java backend (custom IoC/DI framework, Tomcat WAR deployment, Kafka clients, AWS SDK).
- Jakarta XML Bind, Swagger/OpenAPI, PostgreSQL, JWT/OAuth2 (AWS Cognito).
- Ember.js / TypeScript frontend with Webpack build tooling.
- AWS-native CI/CD (CodeBuild, CodePipeline, CloudFormation, ECR).
Distribution Gateway
- Java 17, Spring Boot, Spring MVC, Spring Security.
- Kafka event-driven architecture (producers/consumers, Avro/Glue-Avro serialization, configurable event topics).
- Springdoc/OpenAPI, Swagger UI, RESTful APIs.
- JPA/Hibernate, PostgreSQL, Liquibase-managed schema evolution.
- Quartz/custom scheduler framework and @Scheduled jobs.
- Multi-tenant datasource/filter/security patterns.
- Dockerized builds, Jenkins CI/CD pipelines, AWS ECR, Helm deployment assets.
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