Lead Software Engineer developing scalable low latency systems for AI customer engagement platform, mentoring team members and driving engineering best practices.
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.
Benefits
market-leading compensation, based on the skills and aptitude of the candidate.
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