Backend Engineer

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