Lead Software Engineer

3 Months ago • 5 Years +

Software Development & Engineering

Job Description

Level AI is a Series C startup revolutionizing customer engagement by transforming contact centers into strategic assets with an AI-native platform leveraging Large Language Models. The company is seeking a Lead Software Engineer to elevate the entire technology stack, including applications, platform, and infrastructure. This role involves developing highly scalable and performant systems, acting as a technical thought leader, designing elegant technical solutions for complex problems, and mentoring junior engineers. The Lead Software Engineer will collaborate with product managers and stakeholders to drive engineering best practices and operational excellence for critical services with high uptime.

Good To Have:

Experience with Google Cloud.
Experience with Django.
Experience with Postgres.
Experience with Celery.
Experience with Redis.
Experience with AI Infrastructure and Operations.

Must Have:

Develop technical roadmap for scaling Level AI's tech stack.
Design and build scalable, low-latency distributed systems.
Drive best-in-class engineering practices.
Drive operational excellence for critical services.
Collaborate with stakeholders for technical plans.
Stay updated with latest technologies.
5+ years Backend and Infrastructure experience.
Experience with large-scale databases, messaging systems, job queues.
Experience with system architecture patterns.
Experience mentoring other engineers.
Experience with Google Pub-sub and Kafka.
Experience with Flask, FastAPI, Django.
Experience with auto-scaling in distributed systems.

Add these skills to join the top 1% applicants for this job

postgresql

elasticsearch

fastapi

redis

ci-cd

docker

flask

kubernetes

django

python

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.

Requirement -

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