3 Days Left: Backend Engineer

14 hours ago

Jamnagar, India Movate Full time

Position – Permanent Role – Backend Engineer Experience – 8-10 Years Location – Chennai/Bangalore Key Responsibilities - Architect, design, and implement scalable backend systems using TypeScript / JavaScript (Node.js). - Lead the design and optimization of data models and indexing strategies in PostgreSQL and/or Elasticsearch for high-volume workloads. - Build search and analytics pipelines that support AI/ML and NLP-based content classification and detection. - Optimize APIs and services for high throughput, low latency, and horizontal scalability across global deployments. - Establish best practices in code quality, observability, CI/CD, and performance monitoring. - Partner with AI and platform teams to embed machine learning inference, semantic search, and vector indexing into production workflows. - Oversee system reliability, data consistency, and fault-tolerant design across distributed microservices. - Mentor mid-level engineers, drive design reviews, and contribute to long-term platform evolution and scalability roadmap. - Collaborate with DevOps to design resilient containerized deployments using Docker and Kubernetes. Required Skills & Experience - 8–10 years of backend engineering experience, ideally in high-scale SaaS or AI product environments. - Deep expertise in PostgreSQL (query optimization, schema design, indexing) and/or Elasticsearch (clustering, shard management, advanced querying). - Strong proficiency in TypeScript and JavaScript (Node.js) - Proven track record of scaling backend systems to handle millions of transactions and large user bases. - Solid understanding of system design, caching, load balancing, and distributed computing. - Experience with message queues (Kafka, RabbitMQ, SQS) and event-driven architectures. - Hands-on experience in Docker, Kubernetes, and CI/CD (GitHub Actions, Jenkins, Azure DevOps). - Working knowledge of cloud platforms (AWS / Azure / GCP), infrastructure as code, and monitoring stacks (Grafana, Prometheus, ELK). - Familiarity with API security, authentication, and rate limiting for large-scale REST or GraphQL systems. - Strong problem-solving, debugging, and performance profiling capabilities. Good to Have - Exposure to AI/ML system integration, vector databases, or semantic search pipelines. - Experience with data streaming frameworks (Kafka Streams, Flink, Spark Streaming). - Understanding of Zero-downtime release strategies, Blue-Green deployments, and chaos testing. - Experience with Redis, Memcached, or CDN-based caching strategies. - Familiarity with threat intelligence, anomaly detection, or cybersecurity data systems

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