Lead Software Engineer

Level AI

Dadri

On-site

INR 4,000,000 - 7,500,000

Full time

14 days+

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Job summary

A leading AI technology company in India is seeking a Lead Software Engineer to enhance their technology stack and improve customer engagement through advanced AI solutions. The ideal candidate will have over 5 years of experience in backend and infrastructure roles, with a strong knowledge of large-scale distributed systems and the ability to mentor junior engineers. This position offers market-leading compensation and the opportunity to work in a dynamic, collaborative environment.

Qualifications

  • 5+ years of Backend and Infrastructure Experience with a strong track record in development, architecture and design.
  • Hands-on experience with large-scale databases and high-scale messaging systems.
  • Experience mentoring and providing technical leadership to other engineers.
  • Experience navigating and understanding large scale systems and complex code-bases, and architectural patterns.
  • Experience mentoring and providing technical leadership to other engineers in the team.
  • Google pub-sub along with kafka in the queues part.
  • Flask, FastAPI, Django.
  • Auto-Scaling in distributed systems.
  • Nice to have: Experience with Google Cloud, Django, Postgres, Celery, Redis.
  • Some experience with AI Infrastructure and Operations.

Responsibilities

  • Develop and execute the technical roadmap to scale Level AI’s technology stack.
  • Design and build highly scalable and low latency distributed systems.
  • Drive operational excellence for critical services.
  • Drive operational excellence for critical services that need to have high uptime.
  • Collaborate with a variety of stakeholders within and outside engineering to create technical plans to deliver on important business goals, and lead the execution of those.
  • Stay up to date with the latest technologies and thoughtfully apply them to Level AI’s tech stacks.

Skills

Large Scale Distributed systems
Search (Elasticsearch)
High scale messaging systems (Kafka)
Real time Job Queues
Python
Django
Relational databases (PostgreSQL)
data modeling
DB query Optimization
Caching
Redis
Celery
CI/CD
GCP
Kubernetes
Docker

Education

B.E/B.Tech/M.E/M.Tech/PhD from tier 1/2 Engineering institutes

Job description

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.

Position Overview

We are looking for a Lead Software Engineer to help raise the engineering bar for the entire technology stack at Level AI, including applications, platform and infrastructure. They will actively collaborate with team members and the wider Level AI engineering community to develop highly scalable and performant systems. They will be a technical thought leader who will help drive solving complex problems of today and the future by designing and building simple and elegant technical solutions. They will coach and mentor junior engineers and drive engineering best practices. They will actively collaborate with product managers and other stakeholders both inside and outside the team.

Competencies

Large Scale Distributed systems, Search (such as Elasticsearch), High scale messaging systems (such as Kafka), Real time Job Queues, High throughput and Low latency systems, Python, Django, Relational databases (such as PostgreSQL), data modeling, DB query Optimization, Caching, Redis, Celery, CI/CD, GCP, Kubernetes, Docker.

Responsibilities
  • Develop and execute the technical roadmap to scale Level AI’s technology stack
  • Design and build highly scalable and low latency distributed systems to process large scale real time data
  • Drive best-in class engineering practices through the software development lifecycle
  • Drive operational excellence for critical services that need to have high uptime
  • Collaborate with a variety of stakeholders within and outside engineering to create technical plans to deliver on important business goals, and lead the execution of those
  • Stay up to date with the latest technologies and thoughtfully apply them to Level AI’s tech stacks
Requirements
  • Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1/2 Engineering institutes with relevant work experience with a top technology company.
  • 5+ years of Backend and Infrastructure Experience with strong track record in development, architecture and design
  • Hands-on experience with large-scale databases, high-scale messaging systems and real time Job Queues
  • Experience navigating and understanding large scale systems and complex code-bases, and architectural patterns
  • Experience mentoring and providing technical leadership to other engineers in the team
  • Google pub-sub along with kafka in the queues part
  • Flask, FastAPI, Django
  • Auto-Scaling in distributed systems
  • Nice to have: Experience with Google Cloud, Django, Postgres, Celery, Redis
  • Some experience with AI Infrastructure and Operations
Compensation

We offer market-leading compensation, based on the skills and aptitude of the candidate.

Links

To learn more visit: https://thelevel.ai/

Funding: https://www.crunchbase.com/organization/level-ai

LinkedIn: https://www.linkedin.com/company/level-ai/

Our AI platform: https://www.youtube.com/watch?v=g06q2V_kb-s

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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