
Application Architect
2 days ago
Role & responsibilities
- Lead the end-to-end application lifecycle from architecture, development, and deployment to monitoring and optimization.
- Design and evolve robust, scalable, and secure application architectures, considering high availability, maintainability, and performance.
- Oversee Java platform upgrades (e.g., Java 8 to 17), addressing compatibility, dependency, and performance concerns.
- Manage Perl-to-Perl migrations across flavors (e.g., ActivePerl to Strawberry Perl, 32-bit to 64- bit), ensuring runtime compatibility, library consistency, and minimal disruption.
- Design and maintain custom Java orchestration logic for workflow management and integration with enterprise systems.
- Architect and optimize messaging middleware built on SonicMQ, ensuring resilience, message durability, and efficient routing.
- Collaborate with infrastructure and DevOps teams to ensure smooth RHEL-based deployments, including understanding of underlying services, network configurations, and storage
Preferred candidate profile
• Proven experience in application architecture design for enterprise-grade systems.
• Strong hands-on expertise in RHEL (Red Hat Enterprise Linux) environments including configuration, troubleshooting, tuning, and deployment.
• Good understanding of Linux infrastructure components from an application perspective (e.g., services, System, firewall rules, logs, storage mounts, users/permissions).
• Proficient in Java application development, upgrades, and performance tuning.
• Solid experience in Perl script migration between different Perl versions/flavors.
• Working knowledge of enterprise messaging platforms, particularly SonicMQ.
• Capable of building and managing custom orchestration logic in Java, with knowledge of concurrency, scheduling, and system integrations.
• Having background of working on Document Composition or Customer Communication management Domain
• Experience with CI/CD pipelines (Jenkins, GitLab CI, etc.).
• Exposure to containerization and orchestration (Docker, Kubernetes).
• Familiarity with cloud infrastructure (AWS, Azure, or GCP).
• Basic understanding of infrastructure automation tools (Ansible, Terraform)
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