Staff Software Engineer

Accountabilities:

• • Design, build, and operate high-quality data lakes and the software systems and pipelines that support them across business functions.
  • Develop production-grade services, APIs, tooling, integrations, and automation that enable reliable data workflows at scale.
  • Leverage Trino and related technologies to solve complex data management, analytics, and software architecture challenges.
  • Build and optimize data pipelines using technologies such as Trino, Spark, dbt, and modern orchestration frameworks.
  • Collaborate with technical leads, product managers, data analysts, and other stakeholders to develop robust data products and analytics solutions.
  • Build infrastructure that enables broader, more effective access to organizational datasets, including support for AI-driven applications.
  • Support dataset preparation, model evaluation, and RAG-based use cases for AI initiatives.
  • Define and evolve engineering standards, processes, and best practices spanning software and data engineering, with an emphasis on reliability, maintainability, and speed.
  • Work with engineering and business leaders to continuously improve data architecture and the systems that implement it.
  • Identify emerging patterns in data management, software engineering, and AI, and help translate relevant innovations into practical solutions.
  • Contribute to technical decision-making and provide senior-level guidance across projects and teams.

  Requirements:

  • At least 7 years of combined experience in software engineering and/or data engineering, with substantial depth in both disciplines.
  • Strong software engineering fundamentals and experience writing clean, maintainable, testable, and well-reviewed code in Java, Python, or Scala.
  • Strong experience building and optimizing data pipelines using Trino, Spark, dbt, or comparable data frameworks.
  • Experience designing and developing backend services, APIs, integrations, and data platform components.
  • Hands-on experience managing application and data infrastructure in public cloud environments, particularly AWS, including services such as EMR, EC2, S3, and IAM.
  • Experience with orchestration platforms such as Apache Airflow or Dagster.
  • Strong SQL skills and the ability to move comfortably between SQL and general-purpose programming languages.
  • Knowledge of modern data modeling techniques and architectures for data lakes.
  • Familiarity with RAG and other architectural patterns for AI-powered applications.
  • Experience building API integrations to extract and process data from third-party sources.
  • Proficiency with Configuration-as-Code and Infrastructure-as-Code tools such as Pulumi, Terraform, and/or Ansible.
  • A proven track record of delivering reliable software and data systems on schedule, supported by disciplined testing, code review, and quality practices.
  • Strong written and verbal communication skills, with the ability to coordinate effectively across distributed teams.
  • Enthusiasm for Trino and modern data technologies, with an interest in applying them to emerging AI use cases.
  • Multi-cloud experience with platforms such as GCP or Azure is an advantage.
  • Ability to travel approximately 25% for onboarding, team or department events, customer engagements, and other business activities.

  Benefits:

  • Competitive compensation package.
  • Attractive stock grants.
  • Flexible paid time off.
  • Opportunity to work remotely from India.
  • Exposure to modern data infrastructure, distributed systems, and AI technologies.
  • Opportunity to work with a globally distributed team of experienced engineers and technical leaders.
  • Significant ownership and autonomy over technical projects and engineering practices.
  • Inclusive environment focused on professional growth, collaboration, and meaningful impact.
  • Opportunities to contribute to innovative data and AI initiatives at enterprise scale.