Lead Software Engineer at Level AI

Noida, Uttar Pradesh, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

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 (such as Kafka, Google Pub-Sub) 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
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, Flask, FastAPI, Django, Relational databases (such as PostgreSQL), data modeling, DB query Optimization, Caching, Redis, Celery, CI/CD, GCP, Kubernetes, Docker, 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 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
Actively collaborate with team members and the wider Level AI engineering community to develop highly scalable and performant systems
Coach and mentor junior engineers and drive engineering best practices
Actively collaborate with product managers and other stakeholders both inside and outside the team

Skills

Key technologies and capabilities for this role

PythonDjangoPostgreSQLElasticsearchKafkaRedisCeleryGCPKubernetesDockerCI/CD

Questions & Answers

Common questions about this position

What is the salary for the Lead Software Engineer position?

This information is not specified in the job description.

Is this a remote position or is there a location requirement?

This information is not specified in the job description.

What key skills and technologies are required for this role?

Required skills include large scale distributed systems, Search (such as Elasticsearch), high scale messaging systems (such as Kafka), real time Job Queues, Python, Django, relational databases (such as PostgreSQL), GCP, Kubernetes, and Docker.

What does the company culture or work environment look like at Level AI?

The role involves active collaboration with team members, the wider engineering community, product managers, and stakeholders, while coaching and mentoring junior engineers and driving engineering best practices.

What qualifications make a strong candidate for this Lead Software Engineer role?

Strong candidates have a B.E/B.Tech/M.E/M.Tech/PhD from tier 1/2 engineering institutes, 5+ years of backend and infrastructure experience with top technology companies, hands-on experience with large-scale databases and messaging systems, and experience mentoring engineers.

Level AI

Enhances customer experience through intelligent automation

About Level AI

Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.

Mountain View, CaliforniaHeadquarters

2018Year Founded

$72.4MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees