Staff Software Engineer(Data Engineer)

GE HealthCare

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 14 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Description Summary

We are looking for an experienced Staff Software Engineer to lead the design and delivery of large-scale cloud-native and data-intensive systems on AWS. This role demands deep hands-on expertise in application development data engineering and system architecture with a strong emphasis on building complex secure and highly reliable data pipelines and large-scale data solutions using Databricks and modern analytics platforms.

As a Staff Engineer you will operate at a strategic and highly technical levelowning end-to-end solution design defining architectural standards and driving engineering direction. You will tackle complex data and platform challenges mentor and elevate engineering team members and deliver business-critical outcomes through scalable secure and high-impact solutions. The role also requires a strong learning mindset a willingness to adapt to evolving technologies and the ability to balance deep technical execution with broader organizational influence.

GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition turn ideas into world-changing realities and join an organization where every voice makes a difference and every difference builds a healthier world.

Job Description

Architecture & System Design

  • Design and lead the development of highly scalable low-latency systems.
  • Architect event-driven and microservices-based systems on AWS.
  • Define best practices for:
  • Fault tolerance and resilience
  • Data-intensive applications and pipelines
  • Drive decisions on partitioning caching and load balancing.

Cloud-Native Application Development

  • Build and maintain production-grade backend systems using Python.

  • Develop APIs using REST with strong versioning and backward compatibility practices.

  • Ensure high-quality code through rigorous code reviews refactoring and performance tuning.

Data Engineering using Databricks

  • Design and implement end-to-end data pipelines using Databricks (Apache Spark Delta Lake) across ingestion transformation and consumption layers.

  • Build scalable resilient ETL workflows for both structured and unstructured data supporting batch use cases.

  • Implement Delta Lake best practices including schema enforcement time travel CDC handling and ACID-compliant data operations.

  • Optimize data processing for performance and cost using Spark tuning partitioning strategies caching.

  • Work with large-scale data storage systems such as Amazon S3 and data lakes enabling efficient lakehouse architectures.

  • Apply governance security and compliance controls using Unity Catalog for fine-grained access control lineage and auditability.

  • Orchestrate and monitor pipelines using Databricks Jobs and Workflows ensuring operational reliability and SLAs.

  • Enable analytics and downstream consumption using Databricks SQL Warehouses notebooks and integrations with BI and ML platforms.

Machine Learning Engineering

  • Collaborate with data scientists to productionize ML models.

  • Build scalable ML pipelines on AWS Databricks.

  • Implement model deployment monitoring and lifecycle management.

  • Ensure reproducibility scalability and performance of ML systems.

Containers & CI/CD

  • Build and manage containerized applications using Docker.

  • Design CI/CD pipelines and deployment strategies.

Security & Compliance

  • Apply secure coding practices and conduct threat modelling.

  • Design robust authentication and authorization mechanisms.

  • Ensure data protection and compliance standards are met.

Technical Leadership

  • Lead design and architecture discussions.

  • Write high-quality design documents (RFCs architecture specs).

  • Mentor senior engineers and raise engineering standards.

  • Drive alignment across stakeholders in ambiguous environments.

Educational Qualification:

  • Bachelors Degree in Computer Science or STEM Majors (Science Technology Engineering and Math).

Required Qualifications:

  • 8 years of experience in software engineering.

  • Strong proficiency in Python.

  • Deep experience with AWS cloud architecture.

  • Hands-on expertise in:

    • Databricks Apache Spark Delta Lake

    • Data engineering pipelines

  • Experience with Docker microservices architecture.

  • Solid understanding of:

    • Concurrency multithreading async systems

    • Memory management and performance optimization

  • Proven ability to debug complex production systems.

Preferred Qualifications

  • Experience building ML platforms or MLOps systems.

  • Familiarity with real-time streaming systems (Kafka Kinesis).

  • Experience with large-scale multi-tenant systems.

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.

Ourtotal rewardsare designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities.

Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.

#Everyroleisvital

#LI-Hybrid
#LI-MP2

Additional Information

Relocation Assistance Provided: No


Required Experience:

Staff IC

Job Description SummaryWe are looking for an experienced Staff Software Engineer to lead the design and delivery of large-scale cloud-native and data-intensive systems on AWS. This role demands deep hands-on expertise in application development data engineering and system architecture with a strong ...
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GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients

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