Software Engineer III-AWS, Databricks, Python

1 month ago

Bengaluru, India JPMorgan Chase & Co. Full time
There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.
As a Software Engineer III - Python + AWS Developer at JPMorgan Chase within the Employee Platforms, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the EP’s Data strategy objectives. You will collaborate with the team to solve large scale relevance and ranking problems, engineer scalable features, and support ML Ops work to build brand new systems that benefit EP Data strategy.
Job Responsibilities
Lead complex projects that require cross-organizational alignment and collaboration.
Analyze complex datasets used to make decisions regarding real-world applications.
Investigate the applicability of new approaches to business problems and products by combining theory and experimentation.
Write software code that is built and deployed in production systems.
Anticipate and consider risks when building software engineering solutions.
Communicate complex issues clearly and credibly to consult on and approve team decisions while driving broader organizational actions.
Work transparently cross-functionally and influence your peers to do the same.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Minimum 5+ years of experience in AWS, Databricks, Python
High level understanding of machine learning lifecycle and associated technologies within the AWS ecosystem
Experience in building big data pipelines.
Experience with infrastructure as code tooling such as Terraform.
Experience with container and container orchestration such as ECS, Kubernetes
Comfortable troubleshooting common containerization technologies and issues
Knowledge of continuous integration and continuous delivery tools like Jenkins, GitLab, or GitHub Actions
A strong technical advocate with a background in Java or Scala, and Python.
Comfortable working in a cloud environment like AWS/GCP or Azure
Passionate about working with large unstructured and structured datasets.
Good to have skills:
Exposure to supporting ML model training and deployment pipelines, managing scoring endpoints.

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