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Sr Engineer - Target India
Target
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
KotlinJavaSpring BootGolangKafkaREST
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- Access Management (badge, mobile, and visitor systems)
- Safety Communications (emergency alerts, weather and travel notifications)
- Crisis Management (real-time incident tracking, geolocation, and operations tooling)
- Design, develop, and support scalable full-stack applications and services across the Safe & Secure platform.
- Contribute to system design and architectural discussions, ensuring solutions are scalable, maintainable, and secure.
- Build and maintain APIs, integrations, and event-driven services that enable seamless connectivity across enterprise platforms.
- Apply modern engineering practices including API-first design, observability, resiliency, and automated testing.
- Collaborate with product, security, and operations teams to deliver high-quality solutions that meet business needs.
- Support platform modernization efforts by identifying and implementing technical improvements and simplification opportunities.
- Contribute to GenAI-enabled capabilities through integration with data, services, and emerging AI technologies where applicable.
- Ensure systems meet reliability, performance, and security expectations, especially for business-critical workflows.
- Troubleshoot production issues, participate in operational support, and drive continuous improvement initiatives.
- Mentor and support other engineers through code reviews, technical guidance, and knowledge sharing.
- Stay current with emerging technologies, engineering practices, and industry trends to bring innovative solutions to the team.
- 4-year degree or equivalent experience.
- 5+ years of software development experience with experience delivering enterprise-scale applications.
- Strong experience in Kotlin/Java, Spring Boot, Golang, Kafka, REST/GraphQL, Postgres, MongoDB, Redis, Elasticsearch, and modern frontend frameworks (React preferred).
- Experience building scalable backend services, APIs, and distributed systems.
- Strong understanding of integration patterns including APIs, messaging, and event-driven architectures.
- Experience working with cloud-native applications, observability, and operational excellence practices.
- Exposure to GenAI/ML ecosystems, Python, LLM integrations, or data engineering concepts is a plus.
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