Principal Engineer

Zendesk Zendesk · Enterprise · Pune, India

Principal Software Engineer to lead technical direction for high-impact platform and product initiatives, designing and delivering large-scale systems, influencing cross-team architecture, and mentoring senior engineers to embed AI-enabled innovation into customer experience.

What you'd actually do

  1. Own and drive architecture for complex systems or platform capabilities that serve multiple product teams; define APIs, interfaces, and abstractions that enable scale and reuse.
  2. Lead end-to-end delivery of large features and platform initiatives: design, implementation, testing, rollout, and operational readiness.
  3. Set technical direction and standards: guide design reviews, influence roadmap trade-offs, and promote engineering excellence across teams.
  4. Champion an “AI-First” mindset: guide teams to thoughtfully integrate AI into product features and internal workflows to deliver purposeful, high-value automation and innovation.
  5. Improve reliability and resilience: define SLOs/SLIs, lead incident retrospectives, reduce operational toil, and advance disaster recovery readiness.

Skills

Required

  • Technical authority and depth
  • Systems and architectural thinking
  • Cross-team influence
  • Coaching and mentorship orientation
  • Product empathy and pragmatism
  • Operational excellence mindset
  • Clear communicator and collaborator
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
  • 20+ years of professional software engineering experience
  • 8+ years in senior technical leadership roles (staff or principal)
  • Strong software design and system architecture skills: distributed systems, data consistency, performance and capacity planning.
  • Proven proficiency in one or more production languages (examples: Go, Java, Python, Ruby, TypeScript)
  • experience with cloud platforms (GCP/AWS/Azure).
  • Experience with production monitoring, incident response, and operational excellence practices.

Nice to have

  • Experience designing or shipping AI/ML-driven features or platforms in production and integrating ML workflows into service architectures.
  • Very strong proficiency in JavaScript, Typescript, GraphQL services, and modern front-end frameworks (such as React, Angular, or Vue.js).
  • Deep knowledge of microservices, containers and orchestration (Docker, Kubernetes), service meshes, and infrastructure-as-code.
  • Familiarity with modern observability stacks (Prometheus, Grafana, OpenTelemetry, Jaeger) and robust CI/CD pipelines.
  • Track record of influencing technical strategy across multiple teams, contributing to technical standards, and driving cross-team initiatives.
  • Open-source contributions, published technical writing, or conference speaking are a plus.

What the JD emphasized

  • AI-First mindset
  • AI-First perspective
  • responsible AI adoption
  • integrating ML/AI where it delivers clear product or operational value
  • designing and delivering large-scale, distributed systems with measurable impact
  • ownership of large production systems
  • cross-team impact

Other signals

  • AI-First mindset
  • integrate AI into product features
  • AI-enabled innovation
  • responsible AI adoption
  • integrating ML/AI where it delivers clear product or operational value