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Lead Software Engineer - Python/Databricks/AWS

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Lead Software Engineer - Python/Databricks/AWS

at J.P. Morgan

Tech LeadNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Plano
Country
United States

Lead Software Engineer on the Corporate Sector - Consumer and Community Banking Risk team responsible for designing, building, and delivering secure, scalable data processing solutions. Hands-on contributor developing production code using Python, Databricks, Apache Spark and AWS, and improving operational stability through automation and CI/CD. Drives architectural evaluations with vendors and internal teams, leads communities of practice, and promotes best practices around resiliency and security. Works within an agile team to support the firm’s business objectives in financial services.

Location: Plano, TX, United States

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector - Consumer and Community Banking - Risk / Attribute Income Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

 

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
  • 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, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training and certification on software and network engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) and framework(s) (i.e., Java, Python, Scala, Databricks, Py Spark, etc.)
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages 
  • Strong hands on experience on Databricks, Apache Spark and Big Data
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline and emerging knowledge (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience (i.e. AWS Cloud -  data processing on EMR)

 

Preferred qualifications, capabilities, and skills
 
  • Certifications in Cloud Services and Databricks (i.e. AWS Solutions Architect, Databricks Certified Data Engineer, etc.)
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Lead Software Engineer - Python/Databricks/AWS

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Lead Software Engineer - Python/Databricks/AWS

at J.P. Morgan

Tech LeadNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Plano
Country
United States

Lead Software Engineer on the Corporate Sector - Consumer and Community Banking Risk team responsible for designing, building, and delivering secure, scalable data processing solutions. Hands-on contributor developing production code using Python, Databricks, Apache Spark and AWS, and improving operational stability through automation and CI/CD. Drives architectural evaluations with vendors and internal teams, leads communities of practice, and promotes best practices around resiliency and security. Works within an agile team to support the firm’s business objectives in financial services.

Location: Plano, TX, United States

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector - Consumer and Community Banking - Risk / Attribute Income Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

 

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
  • 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, inclusion, and respect

 

Required qualifications, capabilities, and skills

  • Formal training and certification on software and network engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) and framework(s) (i.e., Java, Python, Scala, Databricks, Py Spark, etc.)
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages 
  • Strong hands on experience on Databricks, Apache Spark and Big Data
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline and emerging knowledge (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience (i.e. AWS Cloud -  data processing on EMR)

 

Preferred qualifications, capabilities, and skills
 
  • Certifications in Cloud Services and Databricks (i.e. AWS Solutions Architect, Databricks Certified Data Engineer, etc.)
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team