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Spark roles open to India.

Browse remote Spark roles that accept candidates based in India.

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Remote Spark jobs in India with clear eligibility

Candidate locationIndiaStack focusSparkMira checkCountry eligibility

This page focuses on remote roles that list India as an accepted candidate location. That matters because many remote jobs still restrict applications by country, timezone, payroll, legal entity, or hiring policy.

Use Spark as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.

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Current search9 Spark roles · Location: India

Showing 9 of 9 roles

Cloud Field Engineering Manager

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

  • Lead
  • AWS
  • Azure
  • GCP
  • +4

Cloud Field Engineer

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Work across the entire Linux stack, from kernel, networking, storage, to applications

  • AWS
  • Azure
  • GCP
  • +3

Alliances Field Engineer

Canonical · Field Engineering

Eligibility checked Fresh this week
Worldwide eligibilityCompany-site apply Recently added

Understand Ubuntu, Linux, networking and services in real-world environments

  • AWS
  • Azure
  • Kubernetes
  • +4

Sr. ML Engineer

Fusemachines

Eligibility checked
Broad eligibilityCompany-site apply Jul 13

Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services.

  • Senior
  • AWS
  • Azure
  • CI/CD
  • +7
Eligibility checked
10 accepted countriesCompany-site apply Jul 11

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

  • Senior
  • Azure
  • CI/CD
  • LLM
  • +3
Eligibility checked
Broad eligibilityCompany-site apply Jul 5

• AWS or other cloud certifications • Experience with Agile methodologies (Scrum/Kanban) • Knowledge of databases (Oracle or other RDBMS) and data migration tools • Exposure to big data technologies like Hadoop or Spark • Experience

  • Senior
  • AWS
  • Azure
  • Docker
  • +3
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