We are seeking experienced professionals to help deliver scalable reporting solutions and AI-enabled capabilities within a collaborative engineering environment. This role will work with .NET, C#, SQL/NoSQL databases, RESTful APIs, cloud infrastructure, event-driven architecture, AI/ML systems, LLM-based applications, and agentic coding tools to support high-quality software delivery.

Responsibilities

- Architects and designs systems, services, or platforms with broad impact.
- Leads technical decision-making for major features or initiatives.
- Breaks down complex problems into scalable and maintainable solutions.
- Drives cross-team collaboration and aligns technical solutions with business goals.
- Establishes and enforces best practices in architecture, coding, and deployment.
- Mentors engineers across multiple levels and contributes to talent development.
- Anticipates technical risks and proactively implements mitigation strategies.
- Leads incident response and root cause analysis for critical issues.
- Influences roadmap planning through technical insight and feasibility analysis.
- Ensures system scalability, reliability, and performance at enterprise scale.
- Leads cross-functional initiatives involving engineering, product, and business teams.
- Designs and improves enterprise-grade CI/CD frameworks, deployment strategies, and automation pipelines.
- Partners with DevOps/SRE to define infrastructure patterns (scalability, observability, resilience).
- Actively utilizes agentic coding tools throughout the SDLC to accelerate feature delivery and drives adoption of AI-assisted development practices across the team.

Requirements





- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field required; master's degree preferred.
- 8+ years of software engineering experience, including technical leadership for major features, systems, services, or platforms with broad impact.
- Solid technical background with .NET, C#, RESTful APIs, and API management solutions.
- Experience with SQL and NoSQL databases including PostgreSQL, SQL Server, and Redis.
- Experience with AWS services including EC2, S3, API Gateway, Lambda, RDS, EKS, CloudWatch, and SQS.
- Experience with Kubernetes, Docker, Kafka, CloudFormation, CDK, Terraform, DevOps practices, automation, agile delivery, Scrum, and test-driven development.
- 2+ years designing, delivering, or integrating production-grade AI/ML systems, LLM-based applications, AI platform capabilities, and agentic workflows.
- Strong knowledge of AI cost control, evaluation, governance, LLM integration patterns, stateful agents, memory patterns, and practical AI use case delivery.
- Experience with event-driven architectures, asynchronous messaging, cloud infrastructure, and observability practices.
- Demonstrated ability to lead architectural decisions, define technical standards, conduct code reviews, and communicate trade-offs to technical and non-technical stakeholders.
- Experience in fintech, reporting, real-time financial platforms, or regulated production environments requiring strong data consistency, idempotency, fault tolerance, and scalability.
- Hands-on experience using agentic coding tools such as Claude Code or GitHub Copilot to accelerate feature delivery, code review, testing, and SDLC execution.

📌 Lead Engineer / Architect - Dotnet+AWS+AI (Bengaluru)
🏢 QBurst
📍 Bengaluru