Lead Engineer - Target India
About us
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 strong 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.
•
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
- 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
Not included in the source posting: qualifications, benefits.
Skills
Who can apply
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