Lead Engineer

Eightfold; Bengaluru; On-site; INR 1,800,000 - 2,500,000; Full time

Benefits offered by this job

Family medical coverage

Vision and dental coverage

Eligibility for equity awards

Discretionary bonuses or commissions

Job summary

Nutanix in Bengaluru is seeking an experienced engineer to lead the design of scalable data platform services. You will build and optimize both batch and real-time data pipelines while mentoring other engineers.

The ideal candidate holds 7+ years of experience in distributed systems engineering with strong programming skills in languages like Java or Python, and familiarity with AWS.

We offer a comprehensive benefits package, including medical coverage and equity eligibility.

Qualifications

• 7+ years of experience in distributed systems engineering.
• Strong programming skills in Java, Scala, Python, or Go.
• Experience with technologies like Spark, Kafka, Airflow, Flink, or Snowflake.

Responsibilities

• Lead the design and development of scalable data platform services.
• Build and optimize batch and real-time data pipelines.
• Drive best practices around reliability, observability, CI/CD.

Skills

Distributed systems engineering

Programming skills in Java, Scala, Python, or Go

Technologies like Spark, Kafka, Airflow, Flink, or Snowflake

Cloud infrastructure

Large-scale data processing

Job description

Responsibilities

• Lead the design and development of scalable data platform services and distributed data systems.
• Build and optimize batch and real-time data pipelines and platform tooling.
• Drive best practices around reliability, observability, CI/CD, and infrastructure automation.
• Partner with AI/ML, analytics, and product engineering teams to enable efficient and reliable data access.
• Mentor engineers and contribute to long-term platform architecture and technical strategy.

Qualifications

• 7+ years of experience in distributed systems engineering.
• Strong programming skills in Java, Scala, Python, or Go.
• Experience with technologies like Spark, Kafka, Airflow, Flink, or Snowflake.
• Strong understanding of distributed systems, cloud infrastructure, and large-scale data processing.
• Experience operating production systems on AWS or similar cloud platforms.

Benefits

Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.