Senior Lead Software Engineer - SRE/Databricks at JPMC Candidate Experience page

Jersey City, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Python, Java, Automated Testing, System Design, Application Development, Terraform, GitHub, Bitbucket, Jenkins, Big Data, Spark, AWS, Databricks, Agile Development, Data Pipelines

Industry

Financial Services

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Senior Lead Software Engineer at JPMorgan Chase within the AIML Data Platforms and Chief Data and Analytics Team, you will develop and deliver advanced technology products focused on data and analytics. Tackle complex cloud data platform challenges, especially around Datalakes Tools. In this role you will work in an agile environment, collaborating with cross-functional teams. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Solves the companies most challenging cloud data platform problems by building innovative technical solutions around Data Lake Tools. Designs, implements, and maintains a managed AWS Databricks platform, and provides engineering and operational support for the platform to SRE and app teams. Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams. Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, opportunity, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on experience with Python and/or Java application program development with use of automated unit testing Hands-on practical experience delivering system design, application development, testing, and operational stability Hands-on practical experience with terraform development and understanding of terraform enterprise Hands-on experience with GitHub / Bitbucket code versioning tool, Jenkins build tool and pypi / maven artifactory integrations Knowledge of Big Data distributed compute frameworks like Spark Preferred qualifications, capabilities, and skills Exposure to AWS & Databricks Platform administration Experience with Agile development processes, as needed (SCRUM/KANBAN) using JIRA. Experience in Data pipelines using Spark Experience in managing product release lifecycle at enterprise level.

Responsibilities

As a Senior Lead Software Engineer, you will develop and deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges and provide engineering support for the AWS Databricks platform.