Backend engineer

2 days ago


Chennai, India Movate Full time

Position – PermanentRole – Backend Engineer Experience – 8-10 YearsLocation – Chennai/BangaloreKey ResponsibilitiesArchitect, design, and implement scalable backend systems using Type Script / Java Script (Node.js).Lead the design and optimization of data models and indexing strategies in Postgre SQL 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 Dev Ops to design resilient containerized deployments using Docker and Kubernetes.Required Skills & Experience8–10 years of backend engineering experience, ideally in high-scale Saa S or AI product environments.Deep expertise in Postgre SQL (query optimization, schema design, indexing) and/or Elasticsearch (clustering, shard management, advanced querying).Strong proficiency in Type Script and Java Script (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, Rabbit MQ, SQS) and event-driven architectures.Hands-on experience in Docker, Kubernetes, and CI/CD (Git Hub Actions, Jenkins, Azure Dev Ops).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 Graph QL systems.Strong problem-solving, debugging, and performance profiling capabilities.Good to HaveExposure 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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