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Zendesk

Staff Software Engineer - Data Platform

Zendesk is hiring a Staff Software Engineer - Data Platform in Pune, India. Level rates it ; you can apply on Zendesk.

Level's read on this job

  • On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Terraform, Airflow and AWS among its tools and skills.
  • Level classes it as a senior role.
  • Zendesk has 125 other open roles on Level.

AI in this role

Design and scale data infrastructure and pipelines that power analytics and lay the foundation for AI and ML integration.

TerraformAirflowAWSPython
data-infrastructureplatform-engineeringdata-platformsdistributed-systemsci-cd

Job Description

What we are looking for:

Our Enterprise Data & Analytics (EDA) is looking for an experienced Staff Data Platform Engineer to join our growing Platform engineering team. You’ll work in a collaborative Agile environment, driving innovations in data infrastructure that not only powers advanced analytics but also lays the foundation for AI and machine learning integration across Zendesk’s data platform.

About the team:

We are a newly formed Data Platform Team here in Pune dedicated to developing and maintaining Zendesk’s data platform that powers next‑generation reporting and analytics across the product portfolio. As a Staff Data Platform Engineer, you will work on designing and developing advanced data infrastructure that power the Zendesk Data Platform.

Data is at the heart of Zendesk’s business—this is a high-impact, high-ownership role with broad technical and organizational influence.

What you get to do every single day

  • Lead architecture and roadmap

    • Define and evolve the end-to-end data platform architecture across ingestion, transformation, storage and governance.

    • Establish standardized data contracts, schemas, documentation, and tooling that improve consistency and reduce time-to-data for analytics and product teams.

    • Lead build-vs-buy evaluations and pilot new technologies to improve reliability, speed, or cost.

  • Deliver platform capabilities at scale

    • Design and deliver secure, and highly-available data services and pipelines handling large-scale, mission-critical workloads.

    • Own, operate, and scale our core orchestration platform (Astronomer / Apache Airflow), optimizing performance, deployment workflows, and infrastructure costs

  • Raise the engineering bar

    • Define standards for data modeling, testing (unit/integration/contract), CI/CD, Infrastructure as Code, and code quality; champion reproducibility and reliability.

    • Conduct deep root cause analyses; drive systemic fixes that improve resilience and developer experience.

What you bring to the role

Basic qualifications

  • 10+ years of total software/data engineering background, with 3+ years dedicated to Platform Engineering or Data Infrastructure.

  • 3+ years leading complex, cross-team architecture and infrastructure initiatives at a Staff level.

  • Hands-on technical expertise designing, provisioning, and managing cloud environments on any of the public clouds like AWS, GCP, Azure (We primarily use AWS)

  • Experience with infrastructure automation tools like Terraform, CloudFormation, etc. (we primarily use Terraform)

  • Proven track record designing and automating robust CI/CD pipelines using tools like, Github Actions , Jenkins. (We primarily use Github actions)

  • Intermediate level experience with at least one of the programming languages: Python, Go, Java, Scala. (we primarily use Python)

  • Working knowledge of Docker.

  • Intermediate level experience with SQL

  • Experience implementing monitoring and observability frameworks (preferably for data pipelines)

  • A demonstrated willingness to learn and adapt to new technologies and tools.

  • Strong communication skills, both written and verbal - you’ll be collaborating closely with people in multiple time zones.

  • Ability to work independently and in a team, with a proactive approach to improving developer experience and engineering processes.

Preferred qualifications

  • 3+ years of experience building & maintaining scalable data infrastructure with strong focus on automation and reliability

  • Interest / Experience in building developer-facing automation agents, internal CLI tools, or platform productivity integrations.

  • Experience ‘managing’ ETL orchestration platforms such as Airflow, Dagster, etc. (we primarily use Airflow)

  • Familiarity with dbt (Data build tool), used for building data pipelines

  • Familiarity with Data Governance and security compliance best practices

What does our stack look like

  • Infrastructure (AWS, Docker, Terraform)

  • CICD (Github Actions)

  • Data Pipeline and Orchestration (Snowflake, dbt, Astronomer Managed Airflow)

  • Monitoring and Observability (DataDog, MonteCarlo)

Please note that Zendesk can only hire candidates who are physically located and plan to work from Karnataka or Maharashtra. Please refer to the location posted on the requisition for where this role is based.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.

Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.

Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.

How we rate this

Staff Software Engineer - Data Platform at Zendesk rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data InfrastructurePlatform EngineeringData PlatformsDistributed SystemsCI/CDTerraformAirflowAWS

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where data infrastructure was part of your work. What did you do?
  2. Tell me about a project where platform engineering was part of your work. What did you do?
  3. Tell me about a project where data platforms was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where ci/cd was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Infrastructure, Platform Engineering, Data Platforms, Distributed Systems, and CI/CD. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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