JP Morgan Chase

Runs a consumer bank and an investment bank

Director of Software Engineering - Data Engineering & Transformation

Engineering LeadershipUpdated on Nov 13

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and 10+ years of applied experience, including 5+ years leading technologists to manage, anticipate, and solve complex technical items within the domain of expertise.
Experience developing or leading cross-functional teams of technologists.
Experience hiring, developing, and recognizing talent.
Experience leading adoption of agentic AI-enabled engineering practices using enterprise-authorized tools, including defining operating expectations such as human-in-the-loop validation and quality gates, measuring outcomes, and ensuring secure handling of sensitive inputs and outputs.
Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency and security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
Practical cloud-native experience.
Experience working with Databricks or Snowflake.
Experience building data lakes using AWS and hands-on experience with AWS Glue and AWS KMS.
Experience with Spark using Python or in-depth experience with Java.
Experience writing SQL queries.
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Responsibilities

Lead a technical area and drive impact across teams, technologies, and projects spanning departments.
Use in-depth knowledge of software, applications, technical processes, and product management to drive complex projects and initiatives; serve as a primary decision-maker for teams and drive innovation and solution delivery.
Lead technology and process implementations to achieve functional technology objectives.
Make decisions influencing team resources, budget, tactical operations, and execution and implementation of processes and procedures.
Set direction and governance for agentic AI-enabled engineering and SDLC/TLM automation, including AI-orchestrated delivery workflows, release-readiness controls, automated test modernization, and incident-triage acceleration; establish guardrails for validation, security, resiliency, traceability, and reuse.
Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value and support capacity-unlock initiatives at scale.
Maintain governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.
Deliver technical solutions that can be leveraged across multiple businesses and domains.
Influence peer leaders and senior stakeholders across business, product, and technology teams.

Desired Qualifications

Past work experience with data transformation programs.

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

As a Director of Software Engineering at JPMorgan Chase within the Post trade tech, 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 multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job responsibilities

Leads technology and process implementations to achieve functional technology objectives
Accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery workflows, release readiness controls, automated test modernization, and incident triage acceleration), while establishing guardrails for validation, security, resiliency, traceability, and reuse across teams.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives at scale.
Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
Delivers technical solutions that can be leveraged across multiple businesses and domains
Influences peer leaders and senior stakeholders across the business, product, and technology teams

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise ( NAMR/APAC – India/ LATAM/ Hong Kong)
Experience developing or leading cross-functional teams of technologists
Experience with hiring, developing, and recognizing talent
Experience leading adoption of agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
Strong understanding of responsible AI use and control expectations in engineering workflows, including data sensitivity, resiliency/security implications, and governance; ability to influence leaders on safe scaling patterns and reuse.
Practical cloud native experience
Experience working on Databricks/Snowflake.
Experience in building Data Lakes using AWS and Hands-on experience in AWS Glue, AWS KMS etc.
Experience in Spark leveraging Python or in-depth experience in Java.
Experience in writing SQL queries
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

Past work experience of working on Data transformation programs

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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