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
- Nice to have:
- Experience with Google Cloud, Django, Postgres, Celery, Redis.
- Some experience with AI Infrastructure and Operations.
Similar roles you might like
View all Software Engineering rolesWorkplace Services Engineer
Vilnius, Vilnius, LithuaniaFull-Time
Software Engineering
Senior Software Engineer (Python+React+Typescript+AWS)
Bengaluru, Karnataka, IndiaFull-Time
Software Engineering
More roles at LevelAI
View company profileDevOps Engineer
NoidaFull-Time
DevOps
EA and Operations Specialist - Bay Area
Bay Area, CaliforniaFull-Time
Operations
Sales Development Representative
Bay Area, CaliforniaFull-Time
Customer Acquisition
