Staff Engineer (CPaaS Data Platform Team)

NutanixSan Jose, CA
20dHybrid

About The Position

Hungry, Humble, Honest, with Heart. The Opportunity Are you an accomplished engineer with 10-15 years of experience in distributed systems and a passion for open-source contributions, capable of driving architectural leadership across teams? If so, you'll thrive in a dynamic environment where you can own high-impact initiatives, collaborate with cross-functional teams, and contribute to cutting-edge analytics solutions that shape the future of data infrastructure. About the Team The Staff Engineer will join a dynamic team at Nutanix focused on building cutting-edge analytics and high-scale data platforms. This team, renowned for its expertise in distributed systems, operates out of Bangalore, India and San Jose, California, with collaboration spanning across engineering teams in the US, India, and Serbia. The culture emphasizes deep technical ownership, curiosity, and transparency, fostering an environment where team members are encouraged to contribute to open-source projects and engage in meaningful discussions that drive innovation. You will report to a Staff Engineer, who is known for leading high-impact distributed-systems initiatives and empowering team members to take ownership of complex technical challenges. This manager actively contributes to open-source projects and organizes tech meetups, promoting a culture of collaboration and continuous learning. The role is hybrid, allowing for a flexible work arrangement, with team members encouraged to come into the office as needed, depending on the team's needs and schedules. Travel requirements for this role are expected to be low, primarily focused on local engagements or occasional meetings that may arise, ensuring that the candidate can maintain their commitment to both office and remote work while fulfilling team objectives.

Requirements

  • 10-15 years of experience in building distributed systems or contributing to large-scale data platforms.
  • Expertise in distributed systems or internal workings of data platforms.
  • Deep knowledge of OLAP, Lakehouse, Messaging, or Distributed Compute technologies.
  • Strong proficiency in coding languages such as Go, Rust, C++, Java, or Python.
  • Experience with architectural leadership and guiding multi-quarter initiatives.
  • Performance tuning and debugging skills for high-volume systems.
  • Open-source contributions in relevant projects (e.g., ClickHouse, Iceberg).
  • Excellent communication and collaboration skills, with a focus on cross-team influence and ownership mindset.

Responsibilities

  • Architect and own high-scale analytics systems, lakehouse ingestion, and control-plane messaging.
  • Collaborate across engineering teams to review designs, evaluate data models, and propose architectural improvements.
  • Lead multi-quarter initiatives, driving decisions, and influencing product teams without formal authority.
  • Debug complex distributed system issues, optimizing performance and guiding schema and shard decisions.
  • Contribute to reference implementations and internal tools using Go, C++, Rust, or Python.
  • Write and review design documentation, RFCs, and technical blogs to share knowledge and improvements.
  • Participate in cross-functional collaboration with Product Management, SRE, and Engineering leadership.
  • Take ownership of at least one long-term initiative while improving the team's knowledge of current technology stacks.

Benefits

  • The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service