Full Time

India

Job Description & Responsibilities

Legacy System Optimization.

- Analyze and optimize existing monolithic/SOA systems with heavy database-driven logic.
- Improve maintainability and performance of legacy codebases.
- Guide teams on safe and efficient enhancements to production systems.

AI Enablement & Engineering Productivity.

- Drive adoption of AI coding tools across engineering teams.
- Train developers on effective and secure use of AI tools for debugging, development, and optimization.
- Establish guardrails and best practices for AI-assisted development.

Architecture Modernization.

- Support transition from legacy architecture to .NET Core, Angular, and microservices-based systems.
- Define patterns for moving business logic from database-heavy designs to service-based architecture.
- Align with ongoing solution re-write initiatives and future architecture roadmap.

Data & Performance Engineering.

- Optimize database performance across SQL Server, PostgreSQL, and MongoDB.
- Improve query efficiency, indexing strategies, and data access patterns.
- Address performance challenges in real-time systems with high transaction volumes.

Production Architecture & Stability.

- Own and continuously improve production system architecture across applications, APIs, and databases.
- Monitor system performance and proactively identify architectural bottlenecks.
- Ensure high availability and SLA adherence for high-volume airline systems.

Troubleshooting & Incident Management.

- Lead deep-dive troubleshooting across IIS, ASP.NET, .NET Framework, APIs, and database layers.
- Address issues related to performance, memory,



threading, and application pool behavior.
- Collaborate with Dev, QA, and IT teams during production incidents and post-release stabilization.

Technical Leadership & Collaboration.

- Act as a bridge between architecture, development, QA, and IT operations.
- Provide hands-on guidance, code reviews, and design recommendations.
- Mentor engineers and leads to improve troubleshooting and system design capabilities.

CANDIDATE REQUIREMENTS

Education

- Bachelor’s degree in Computer Science, Information Security, or related field.

Certifications

- Knowledge of On-Premise.
- Knowledge of AI coding Tools.
- Knowledge of ASP.NET and .NET Framework (mandatory).
- Knowledge of.NET Core / ASP.NET Core.
- Knowledge of Angular (SPA development).
- Knowledge of SQL Serve.
- Knowledge of PostgreSQL and MongoDB.
- Knowledge of Data Lake Architectures.
- Knowledge of Data pipelines, ETL processes, and integration with analytics or AI/ML systems.
- Knowledge of Troubleshooting and Debugging.
- Knowledge of Performance Optimization and System Tuning.
- Knowledge of API Development and Integration (REST/JSON).
- nowledge of Driven Architecture (Kafka or Similar).
- Knowledge of Monitoring Tools (Datadog, ELK, OpManager).

Work Experience





- 08–12 years of experience in Software Engineering with solid production exposure.
- Experience in Airlines or travel domain is a plus.

Skills

- Bachelor’s degree in Computer Science, Information Security, or related field.
- 8–12 years of experience in software engineering with strong production exposure.
- Strong written and verbal communication skills with ability to interact with technical and business stakeholders.
- Experience working with high-volume real-time systems.
- Exposure to on-premise or hybrid hosting environments.
- Experience with AI coding tools (GitHub Copilot/Cursor/Claude or similar) and team enablement.
- Experience in airline cargo domain is a plus.

Strong hands-on experience with:

- ASP.NET and .NET Framework (mandatory).
- .NET Core / ASP.NET Core.
- Angular (SPA development).

Strong experience with databases:

- SQL Server (performance tuning, indexing, query optimization).
- Exposure to PostgreSQL and MongoDB.
- Experience working with Data Lake architectures (e.g., MinIO, Azure Data Lake, or similar object storage systems) for large-scale data storage, ingestion, and processing.
- Understanding of data pipelines, ETL processes, and integration with analytics or AI/ML systems.

Proven experience in:

- Production troubleshooting and debugging.
- Performance optimization and system tuning.
- API development and integration (REST/JSON).

Familiarity with:

- Event-driven architecture (Kafka or similar).
- Monitoring tools (Datadog, ELK, OpManager).

Job Features

Job Category

System Architect

📌 Solution Architect Lead (India)
🏢 Revenue Technology Services
📍 India