Senior Backend Engineer

4 weeks ago

Bengaluru, India TALENTSTACK Full time

Description :Job Title : Senior Backend EngineerLocation : BangaloreThe 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. (ref:hirist.tech)

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