Lead Full-Stack Engineer - Bengaluru - Yularatech

    Yularatech
    Yularatech Bengaluru

    15 hours ago

    ₹3,500,000 - ₹6,500,000 (INR) per year * Technology / Internet
    Description

    Role Overview

    We are seeking a highly experienced, hands-on Lead Engineer – AWS Infrastructure to design, scale, and operate production-grade systems on AWS.

    This is an infrastructure-heavy leadership role:

    • 75% AWS Infrastructure / DevOps / Distributed Systems
    • 25% Backend Engineering / Full-Stack Development , TypeScript, React, , NestJS)

    For candidates with 10 years of total experience, at least the last 3-4 years must have heavily involved owning and operating production-scale cloud infrastructure on AWS, along with building and maintaining scalable backend services/APIs using , TypeScript, and NestJS, with the ability to contribute to frontend applications (React / ) when required.

    This role requires strong system design capabilities and proven experience handling high-traffic, complex applications at scale - across both infrastructure and application layers.

    Key Responsibilities

    • Architect and scale cloud-native systems on AWS
    • Design highly available, fault-tolerant infrastructure
    • Handle traffic spikes, performance bottlenecks, and infrastructure failures
    • Own CI/CD pipelines and deployment processes
    • Design scalable backend services using and TypeScript
    • Contribute to frontend development when required )
    • Debug production incidents across infrastructure, networking, and database layers
    • Lead infrastructure decisions aligned with scalability, security, and performance best practices

    Mandatory AWS Infrastructure Expertise

    Candidates must have strong, recent hands-on production experience with:

    • Amazon EKS (Kubernetes in production environments)
    • Docker (containerization, image optimization, orchestration)
    • Amazon API Gateway
    • Elastic Load Balancing (ALB/NLB)
    • Amazon VPC (subnets, route tables, NAT, security groups)
    • Amazon RDS (Multi-AZ, read replicas, performance tuning)
    • Kubernetes networking, ingress controllers, and traffic routing
    • Horizontal Pod Autoscaler (HPA)
    • CI/CD pipelines (GitHub Actions or equivalent)
    • Infrastructure as Code using AWS CDK (preferred), CloudFormation, or Terraform

    Scalability & High-Performance Requirements

    Candidates must have demonstrated experience in:

    • Scaling backend applications from thousands to millions of users
    • Designing systems for high RPS workloads across application and infrastructure layers
    • Handling database connection exhaustion, query optimization, and performance bottlenecks
    • Implementing horizontal and vertical scaling strategies at both service and infrastructure levels
    • Designing stateless, production-grade microservices
    • Implementing caching strategies (Redis or equivalent) within backend services
    • Designing event-driven architectures using queues or streaming services
    • Building resilient distributed systems that remain stable under real production load

    System Design & Distributed Systems Knowledge (Preferred)

    Candidates with a good understanding of or practical exposure on the below concepts will be prioritized:

    • CAP theorem and consistency trade-offs
    • Eventual vs strong consistency
    • Idempotency in transaction systems
    • Saga pattern and distributed transactions
    • Retry mechanisms with exponential backoff
    • High-availability architecture (Multi-AZ, failover strategies)
    • Eliminating single points of failure

    Database & Data Architecture

    • Managing large datasets (tens of millions of records)
    • Index optimization and write performance trade-offs
    • Read replica strategies
    • Sharding and partitioning approaches
    • Designing scalable transaction storage systems

    Monitoring & Observability

    Experience with:

    • Logging and alerting systems
    • Distributed tracing across microservices
    • Correlation IDs
    • Root cause analysis for production incidents
    • Infrastructure health monitoring

    Full-Stack Technical Expectations (Mandatory but Secondary to Infrastructure)

    Candidates must be comfortable contributing to application development:

    • Strong TypeScript proficiency
    • backend development
    • NestJS
    • REST API design and authentication mechanisms

    While frontend is not the primary focus, the candidate must be capable of shipping features end-to-end when required.

    Preferred Qualifications

    • AWS Certified Solutions Architect (Associate or Professional)
    • AWS Certified DevOps Engineer
    • Kubernetes certification
    • Experience in fintech, payments, or high-transaction systems
    • Experience working in startup or high-growth environments
    * This salary range is an estimation made by beBee
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