Staff Software Engineer - Dev - CPaaS (12 -16 years experience)

• Architect & Innovate: Lead the design, implementation and optimization of core data platform components for on-prem, hybrid-cloud enterprise & service provider environments. You will ensure our systems are resilient, performant, scalable and easily "day-2 manageable" across diverse customer data centers, including air-gapped and highly regulated environments.
• Performance Engineering: Dive deep into I/O stacks, memory management, DB engines, distributed messaging stack, and data models to squeeze every ounce of performance out of the hardware. 
• Technical Leadership: Be a force multiplier, influence the technical roadmap, conduct high-stakes design reviews, and mentor engineers across the CPaaS team.
• Customer-Led Engineering: Develop a deep intuition for user challenges to build high-impact solutions that deliver immediate value. By collaborating with cross-functional leads, you will ensure our data platform remains a pragmatic, reliable foundation that solves real-world problems without compromising on long-term architectural excellence.

• Cross-Functional Collaboration: Act as a critical escalation point for cross-functional teams, providing the deep architectural insights and hands-on debugging necessary to resolve complex technical blockers and accelerate delivery cycles across the organization.
• Open Source Leadership: Identify internal data platform technologies & contributions suitable for open-sourcing to establish Nutanix as a thought leader.
• Planning & Prioritization: Collaborate with engineering leads to define the high impact initiatives and quarterly priorities. You will ensure the CPaaS data services roadmap balances immediate customer needs with long-term architectural sustainability and technical debt reduction.
• Work in a geographically distributed team setup.

• Deep Systems Expertise: 12+ years of experience building and scaling large-scale software, with a specialized focus on distributed systems and database internals. You should have a proven track record of solving complex problems at the infrastructure layer.
• Polyglot Programming: Expert-level proficiency in Go, C++, or Rust. You are also comfortable using Python to automate, prototype, and bridge services within a cloud-native ecosystem.
• Data Engine Mastery: A deep, internal understanding (indexing, storage engines, data models, query optimization) of diverse data architectures:

• Analytical & Time-Series: ClickHouse, Prometheus, VictoriaMetrics.
• Relational: PostgreSQL, MySQL.
• Graph: Neo4j, Dgraph.
• Messaging: NATS, Apache Kafka.

• Cloud-Native Foundations: A solid architectural understanding of Kubernetes and container orchestration, specifically regarding stateful workloads and high-availability data services.
• Operational Excellence: Experience operating distributed "Big Data" systems in a resource constrained on-prem or hybrid cloud environment. You understand the nuances of observability, backup/restore, disaster recovery, and zero-downtime migrations.
• AI-Augmented Engineering: A forward-thinking passion for integrating AI tools into the SDLC. You have experience using AI for code generation, automated design reviews, and accelerating the path from "concept to commit."

--