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Backend Engineer

Backend Engineer

MovateThrissur, IN
15 hours ago
Job description

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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