Description:

The position is for a Staff Software Systems Engineer specializing in Big Data Technologies, with a focus on Python and Java.
The role is remote and based in India, requiring 8 to 12 years of experience.
The engineer will innovate with generative AI and work on groundbreaking products that define the future of AI-driven network management.
Responsibilities include driving an innovative vision for products, leading the end-to-end software development lifecycle, and transforming raw data into actionable insights.
The engineer will design and develop large-scale knowledge graphs and mentor other engineers on the team.
The role emphasizes maintaining high standards of technical rigor and operational excellence.

Requirements:

A degree in mathematics, computer science, or a related discipline is required.
Candidates must have 4+ years of experience in the complete software development lifecycle, including design, coding, code reviews, testing, build processes, deployments, and operations.
Proficiency in at least one programming language, preferably Python or Java, with 4+ years of programming experience is necessary.
Candidates should have 3+ years of experience in leading the design and architecture of large distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud.
Experience with distributed and big data technologies, including MapReduce, Spark, Flink, Kafka, PySpark, and NoSQL, is required.
Experience as a mentor or tech lead, as well as the ability to tackle complex and ambiguous problems, is essential.

Employees will be part of a company recognized as one of the best places to work in IT, promoting a culture of diversity and inclusion.
The role offers the opportunity to work on innovative projects at the cutting edge of IoT, big data, cloud computing, machine learning, and generative AI.
Employees will have the chance to mentor and develop other engineers, fostering a collaborative team culture.
The company encourages applications from underrepresented groups, ensuring a workplace free from discrimination and harassment.