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MDS Infrastructure Engineer

at J.P. Morgan

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

MDS Infrastructure Engineer

at J.P. Morgan

Mid LevelNo visa sponsorshipPython

Posted 12 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

Infrastructure Engineer II at JPMorganChase within the Commercial & Investment Banking team focuses on delivering infrastructure solutions across software, applications and technical processes. You will apply technical knowledge to defined-scope assignments, test infrastructure performance, and verify that requirements are met, driving results from test to production. The role involves day-to-day work with guidance, incident escalation, and consideration of upstream/downstream data and systems, while contributing to a diverse and inclusive team culture. Experience with Python scripting, Linux/Unix, networking fundamentals, cloud technologies, and data workflows is preferred.

Location: Jersey City, NJ, United States

With your expertise in delivering infrastructure solutions, you are a top-performer in your field. Come on board as a highly appreciated member of a winning team.
 

As an Infrastructure Engineer II at JPMorganChase within the Commercial & Investment Banking team, you develop knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Through this work you begin to apply your proficiency in a single application or technical methodology.

Job responsibilities
  • Applies technical knowledge to assignments with a defined scope such as testing the performance of the infrastructure and understanding and verifying that requirements were successfully met
  • Drives results, collects and analyzes monitoring data in test and production, and sees assignments through to completion
  • Carries out day to day work assignments with some guidance and within documented parameters
  • Escalates issues to appropriate leaders
  • Develops considerations for upstream/downstream data and systems or technical implications
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • 3+ years of relevant experience
  • Experience with Python scripting and automation
  • Proficiency in Linux/Unix environments
  • Understanding of networking fundamentals including TCP/IP, multicast, and latency concepts
  • Experience supporting technical systems or applications in a production environment
  • Understanding of data workflows, data pipelines, or data distribution systems
  • Ability to troubleshoot technical issues using diagnostic tools and methodologies
  • Proficient knowledge of hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments
  • Experience with cloud technologies with the ability to operate in and migrate across public and private clouds
  • Basic technical knowledge of additional technical domains
  • Basic data fluency and automation knowledge
Preferred qualifications, capabilities, and skills
  • Familiarity with financial data content management or previous experience as a Financial Data Content Specialist (not required but beneficial)
  • Experience with market data distribution technologies such as IDP, AMPS, AAAS, or similar platforms
  • Knowledge of market data symbology, identifiers, and reference data
  • Understanding of futures contract rolls, corporate actions, or exchange conventions
  • Experience with large-scale data workflows or data quality validation
  • Exposure to trading environments or front-office support
  • Familiarity with RMDS/TREP, DACS entitlements, Bloomberg BPIPE/MFA, Refinitiv Data Feeds, or Solace
  • Experience with direct exchange connectivity and exchange market data feeds
  • Knowledge of monitoring and forensic tools such as ITRS Geneos
  • Experience with data normalization, mapping, or reconciliation processes

 
Leverage your strong knowledge of software, applications, and technical processes across multiple applications

MDS Infrastructure Engineer

at J.P. Morgan

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

MDS Infrastructure Engineer

at J.P. Morgan

Mid LevelNo visa sponsorshipPython

Posted 12 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

Infrastructure Engineer II at JPMorganChase within the Commercial & Investment Banking team focuses on delivering infrastructure solutions across software, applications and technical processes. You will apply technical knowledge to defined-scope assignments, test infrastructure performance, and verify that requirements are met, driving results from test to production. The role involves day-to-day work with guidance, incident escalation, and consideration of upstream/downstream data and systems, while contributing to a diverse and inclusive team culture. Experience with Python scripting, Linux/Unix, networking fundamentals, cloud technologies, and data workflows is preferred.

Location: Jersey City, NJ, United States

With your expertise in delivering infrastructure solutions, you are a top-performer in your field. Come on board as a highly appreciated member of a winning team.
 

As an Infrastructure Engineer II at JPMorganChase within the Commercial & Investment Banking team, you develop knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Through this work you begin to apply your proficiency in a single application or technical methodology.

Job responsibilities
  • Applies technical knowledge to assignments with a defined scope such as testing the performance of the infrastructure and understanding and verifying that requirements were successfully met
  • Drives results, collects and analyzes monitoring data in test and production, and sees assignments through to completion
  • Carries out day to day work assignments with some guidance and within documented parameters
  • Escalates issues to appropriate leaders
  • Develops considerations for upstream/downstream data and systems or technical implications
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • 3+ years of relevant experience
  • Experience with Python scripting and automation
  • Proficiency in Linux/Unix environments
  • Understanding of networking fundamentals including TCP/IP, multicast, and latency concepts
  • Experience supporting technical systems or applications in a production environment
  • Understanding of data workflows, data pipelines, or data distribution systems
  • Ability to troubleshoot technical issues using diagnostic tools and methodologies
  • Proficient knowledge of hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments
  • Experience with cloud technologies with the ability to operate in and migrate across public and private clouds
  • Basic technical knowledge of additional technical domains
  • Basic data fluency and automation knowledge
Preferred qualifications, capabilities, and skills
  • Familiarity with financial data content management or previous experience as a Financial Data Content Specialist (not required but beneficial)
  • Experience with market data distribution technologies such as IDP, AMPS, AAAS, or similar platforms
  • Knowledge of market data symbology, identifiers, and reference data
  • Understanding of futures contract rolls, corporate actions, or exchange conventions
  • Experience with large-scale data workflows or data quality validation
  • Exposure to trading environments or front-office support
  • Familiarity with RMDS/TREP, DACS entitlements, Bloomberg BPIPE/MFA, Refinitiv Data Feeds, or Solace
  • Experience with direct exchange connectivity and exchange market data feeds
  • Knowledge of monitoring and forensic tools such as ITRS Geneos
  • Experience with data normalization, mapping, or reconciliation processes

 
Leverage your strong knowledge of software, applications, and technical processes across multiple applications