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EXL

Analyzes business data and runs outsourced operations

Lead Assistant Manager

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNoida, Uttar Pradesh, IndiaNo salary listedIn-person

About the Job

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or related field.
  • 3+ years of professional experience in full stack software development.
  • Strong proficiency in Python backend development, with experience in frameworks like Django, Flask, or FastAPI.
  • Solid experience with ReactJS and related frontend technologies (HTML5, CSS3, JavaScript ES6+).
  • Working knowledge or hands-on experience with Google Cloud Platform is strongly preferred; AWS or Azure experience can be a plus.
  • Familiarity with Kubernetes for container orchestration and deployment.
  • Experience implementing CI/CD pipelines with Jenkins or GitHub Actions.
  • Proficient with version control systems, especially GitHub.
  • Database expertise with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems.
  • Experience with Docker for containerization.
  • Strong problem-solving skills, ability to work in a dynamic, fast-paced environment, and excellent communication skills.

Responsibilities

  • Develop and maintain robust backend APIs and microservices using Python frameworks such as Flask, FastAPI, or Django.
  • Build engaging, responsive user interfaces with ReactJS, using modern concepts such as Hooks, Redux, and Context API.
  • Collaborate closely with product managers and QA teams to translate requirements into scalable solutions.
  • Design, deploy, and manage applications and infrastructure on Google Cloud Platform, utilizing services like App Engine, Cloud Functions, and Compute Engine.
  • Containerize applications and manage orchestration using Kubernetes to ensure scalability and reliability.
  • Implement and maintain CI/CD pipelines using Jenkins or similar automation tools to enable seamless deployment.
  • Work with relational databases and NoSQL databases, optimizing data storage and retrieval.
  • Write clean, efficient, and testable code while following best practices for software development and security standards.
  • Troubleshoot, debug, and resolve production issues to maintain high availability and performance.
  • Stay updated with industry trends, cloud-native architecture, DevOps tools, and emerging technologies such as Generative AI for productivity enhancements.

Desired Qualifications

  • Experience with cloud-native microservices and serverless architectures.
  • Knowledge of infrastructure as code (e.g., Terraform), monitoring, and logging tools.
  • Exposure to Agile development methodologies and working in cross-functional teams.
  • Familiarity with Generative AI tools to increase development productivity.
  • Experience mentoring junior engineers and conducting code reviews.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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