Job Id: R0000437816

Lead Engineer – Role & Responsibilities
As a Lead Engineer, you will provide technical leadership and architectural direction while remaining hands-on in building scalable, resilient, and production-grade systems.

You will play a critical role in shaping engineering standards, driving modernization, and enabling intelligent, AI-powered capabilities across the platform.
Key Responsibilities
- Technology Evaluation & Innovation
- Evaluate emerging technologies and contribute to architectural decision-making, considering alignment with Target’s technical ecosystem, long-term maintainability, scalability, and total cost of ownership.Lead research initiatives and proof-of-concept efforts to validate new tools, frameworks, and platforms before adoption.
- Architecture & Engineering Excellence
- Design and own scalable, secure, high-performance architectures.Establish and evolve engineering standards and best practices in complex or ambiguous environments.Lead service design, lifecycle management, and overall technical governance of team-owned platforms.Ensure code quality, infrastructure standards, and long-term sustainability of services.
- Hands-On Development & Delivery
- Contribute directly to development efforts, particularly on complex and high-impact components.Ensure solutions are production-ready, deployable, resilient, and scalable.Drive implementation quality through robust testing, automation, and CI/CD practices.
- Enterprise Impact & Thought Leadership




- Provide technical thought leadership to promote reusable components and consistent architectural patterns.Participate in planning and designing services with enterprise-wide impact.Guide the team in resolving routine and moderately complex technical challenges, escalating risks when necessary.
- Observability & Reliability Engineering
- Champion a culture of observability and operational excellence.Ensure monitoring, logging, and metrics are embedded into services.Leverage operational data to continuously improve system stability, performance, and reliability.Align monitoring strategies with organizational observability principles.
- AI & Intelligent Systems Integration
- Integrate Large Language Models (LLMs) and Generative AI capabilities into core applications.Design and implement safeguards to mitigate hallucinations and improve AI reliability.Build and scale agentic frameworks and AI-driven automation solutions to enhance business processes.
- Data Governance & Platform Optimization
- Influence and evolve data standards, policies, and governance practices.Configure, optimize, and monitor data management platforms with minimal oversight.Identify performance and efficiency improvements across data systems.

Required Skills & Expertise
- Advanced proficiency in Java, including backend systems and automation workflows




- Strong experience in Microservices Architecture and distributed systems
- Expertise with Spring Boot or Micronaut, including reactive programming models
- Hands-on experience with AI/LLM integration and GenAI-enabled applications
- Experience with Messaging Systems such as Kafka or RabbitMQ
- Proficiency with Databases, including NoSQL (Cassandra, MongoDB) and SQL (PostgreSQL)
- Experience building and managing CI/CD pipelines (Jenkins, GitLab, or similar)
- Strong background in Unit & Integration Testing (JUnit, Spock, TestContainers)
- Experience with Cloud Platforms (AWS, GCP, Azure)
- Expertise in Containerization & Orchestration (Docker, Kubernetes)
- Strong understanding of Monitoring & Observability tools (Grafana, ELK, Prometheus)
- Solid grasp of Event-Driven Architecture patterns in distributed environments

Preferred Qualifications
- Proficiency in Python or Kotlin
- Experience with Legacy System Modernization and refactoring initiatives
- Knowledge of Security Best Practices, including OWASP standards and secure coding principles
- Familiarity with Agile methodologies such as Scrum or Kanban

Level:
6
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Required Skill Profession

Engineers

📌 Lead Engineer Target India (Bengaluru)
🏢 Target
📍 Bengaluru