Senior Backend Engineer

1 day ago

Bengaluru, Karnataka, India TALENTSTACK Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description :

Job Title : Senior Backend Engineer

Location : Bangalore

The Role :

As a Senior Backend Engineer, youll design and build high-performance backend systems that power Enlites intelligent automation platform. Youll combine rock-solid backend fundamentals with a forward-looking mindset, using AI tools and LLM-based frameworks to accelerate engineering workflows and build never-before-seen product capabilities.

This is a chance to not only solve complex distributed systems challenges but to define the future of AI-powered infrastructure engineering.

What Youll Do :

- Architect and implement scalable microservices in Java (8+) and Spring Boot, optimized for cloud-native environments.

- Build backend services that orchestrate AI-powered infrastructure automation workflows.

- Leverage AI tools (code-generation assistants, AI test harnesses) to accelerate development, improve reliability, and innovate faster.

- Mentor a team of 3-4 engineers, instilling best practices in AI-augmented software development.

- Work on database optimization (MySQL/PostgreSQL), caching layers (Redis), and event-driven architectures (Kafka).

- Collaborate with product and software teams to push the boundaries of what backend + AI systems can achieve.

- Own deployment, scaling, and monitoring strategies across Linux-based cloud environments.

- Embed AI into the core : Integrate predictive and generative models that enable autonomous decision-making, adaptive automation, and continuous optimization.

What You Bring :

- 8+ years of backend engineering experience with a strong Core Java foundation.

- Expertise in data structures, algorithms, and system design patterns.

- Hands-on experience with Spring Boot and microservices architectures.

- Solid background in SQL databases and distributed systems.

- Experience managing small teams, fostering innovation, and shipping high-impact systems.

Bonus Points For :

- Building or scaling automation systems.

- Experience with Kafka, Redis, or cloud-native architectures (Kubernetes, containers).

- Exposure to AI/ML systems, vector databases, or LLM-driven orchestration.

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