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Director of Software Engineering

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Industry not specified

Director of Software Engineering

at J.P. Morgan

Tech LeadNo visa sponsorshipData Engineering

Posted 10 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Mumbai
Country
India

Director of Software Engineering at JPMorgan Chase leads a technical area within the Corporate Oversight & Governance Technology organization, driving impact across teams, technologies, and projects aligned with regulatory requirements. You will architect and deliver scalable, secure, and efficient systems while championing engineering excellence and DevOps practices. You will manage resources, budgets, and cross-functional collaboration with product, compliance, and LOB Technology, mentoring engineering leaders and building an inclusive growth culture. The role emphasizes data warehousing, data platforms, and trading surveillance capabilities, with a focus on innovation and audit-readiness.

Location: Mumbai, Maharashtra, India

If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for yo

As a Director of Software Engineering at JPMorgan Chase within the Corporate Oversight & Governance Technology organization, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive the development, and implementation of cutting-edge software solutions that align with business goals and regulatory requirements. This role requires a strong leader with exceptional technical expertise, and the ability to foster a culture of innovation and excellence.

Job responsibilities

  • Lead the strategy and delivery of Trading Surveillance solutions aligned with business goals and regulatory requirements.
  • Own decisions on team resources, budgets, and tactical operations, including process execution and continuous optimization.
  • Architect and deliver scalable, resilient, and efficient systems; champion engineering excellence, secure-by-design, and agile/DevOps best practices.
  • Evaluate, select, and integrate emerging technologies to enhance surveillance coverage, accuracy, and efficiency.
  • Manage and mentor engineering leaders and teams; build a high-performing, inclusive culture with clear growth paths.
  • Identify and mitigate risks across data, models, security, and operations; ensure audit readiness and control compliance.
  • Foster strong partnerships with product, compliance, and LOB Technology; drive innovation and continuous improvement on shared objectives

 

Required qualifications, capabilities, and skills

  • Solid track record and 10+ years of experience in building large scale data warehouses and enterprise data platforms handling critical data.
  • Experience developing or leading cross-functional teams of technologists
  • Experience with hiring, developing, and recognizing talent
  • Excellent communication, collaboration, and stakeholder management skills.
  • Ability to drive innovation and foster a culture of continuous improvement.
  • Practical cloud native experience
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

 

Preferred qualifications, capabilities, and skills

  • Strong understanding of trading surveillance regulations and compliance, with auditability, lineage, and retention controls built into data workflows.
  • Lakehouse/warehousing expertise in Databricks (Delta) and Snowflake, covering data modeling and ETL/ELT for analytical use cases.
  • Hadoop ecosystem and real-time processing: Spark Structured Streaming, Hive, and Kafka for low-latency ingestion and transformation.
  • Query performance tuning across Hive, SparkSQL, and Oracle using partitioning, pruning, indexing, AQE, and join strategies.
  • Java engineering: OOP with Java; Spring Boot and Hibernate/JPA; building scalable REST and XML/RPC services.
  • Data architecture: Data Mesh and Data Ponds, governance, cataloging, archival, and enterprise reporting/analytics.
  • SDLC and delivery: Agile/iterative methods, CI/CD, testing automation, observability, and scalable solution design.
  •  

    Lead and innovate as Director of Software Engineering, promoting impactful software solutions and fostering a culture of excellence.

    Director of Software Engineering

    at J.P. Morgan

    Back to all Data Engineering jobs
    J.P. Morgan logo
    Industry not specified

    Director of Software Engineering

    at J.P. Morgan

    Tech LeadNo visa sponsorshipData Engineering

    Posted 10 hours ago

    No clicks

    Compensation
    Not specified

    Currency: Not specified

    City
    Mumbai
    Country
    India

    Director of Software Engineering at JPMorgan Chase leads a technical area within the Corporate Oversight & Governance Technology organization, driving impact across teams, technologies, and projects aligned with regulatory requirements. You will architect and deliver scalable, secure, and efficient systems while championing engineering excellence and DevOps practices. You will manage resources, budgets, and cross-functional collaboration with product, compliance, and LOB Technology, mentoring engineering leaders and building an inclusive growth culture. The role emphasizes data warehousing, data platforms, and trading surveillance capabilities, with a focus on innovation and audit-readiness.

    Location: Mumbai, Maharashtra, India

    If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for yo

    As a Director of Software Engineering at JPMorgan Chase within the Corporate Oversight & Governance Technology organization, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive the development, and implementation of cutting-edge software solutions that align with business goals and regulatory requirements. This role requires a strong leader with exceptional technical expertise, and the ability to foster a culture of innovation and excellence.

    Job responsibilities

    • Lead the strategy and delivery of Trading Surveillance solutions aligned with business goals and regulatory requirements.
    • Own decisions on team resources, budgets, and tactical operations, including process execution and continuous optimization.
    • Architect and deliver scalable, resilient, and efficient systems; champion engineering excellence, secure-by-design, and agile/DevOps best practices.
    • Evaluate, select, and integrate emerging technologies to enhance surveillance coverage, accuracy, and efficiency.
    • Manage and mentor engineering leaders and teams; build a high-performing, inclusive culture with clear growth paths.
    • Identify and mitigate risks across data, models, security, and operations; ensure audit readiness and control compliance.
    • Foster strong partnerships with product, compliance, and LOB Technology; drive innovation and continuous improvement on shared objectives

     

    Required qualifications, capabilities, and skills

    • Solid track record and 10+ years of experience in building large scale data warehouses and enterprise data platforms handling critical data.
    • Experience developing or leading cross-functional teams of technologists
    • Experience with hiring, developing, and recognizing talent
    • Excellent communication, collaboration, and stakeholder management skills.
    • Ability to drive innovation and foster a culture of continuous improvement.
    • Practical cloud native experience
    • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

     

    Preferred qualifications, capabilities, and skills

  • Strong understanding of trading surveillance regulations and compliance, with auditability, lineage, and retention controls built into data workflows.
  • Lakehouse/warehousing expertise in Databricks (Delta) and Snowflake, covering data modeling and ETL/ELT for analytical use cases.
  • Hadoop ecosystem and real-time processing: Spark Structured Streaming, Hive, and Kafka for low-latency ingestion and transformation.
  • Query performance tuning across Hive, SparkSQL, and Oracle using partitioning, pruning, indexing, AQE, and join strategies.
  • Java engineering: OOP with Java; Spring Boot and Hibernate/JPA; building scalable REST and XML/RPC services.
  • Data architecture: Data Mesh and Data Ponds, governance, cataloging, archival, and enterprise reporting/analytics.
  • SDLC and delivery: Agile/iterative methods, CI/CD, testing automation, observability, and scalable solution design.
  •  

    Lead and innovate as Director of Software Engineering, promoting impactful software solutions and fostering a culture of excellence.

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