Lead Software Engineer - Java/Python, Data Engineering

Posted 2 Days Ago
Be an Early Applicant
Hyderabad, Telangana, IND
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead development of secure, scalable, data-intensive software for a global KYC and risk assessment platform. Responsibilities include designing production applications, reusable frameworks, data platforms, and microservices; establishing engineering standards; mentoring engineers; advising cross-functional teams; and improving SDLC automation. The role requires expertise in Java or Python, cloud-native systems, large-scale data processing, databases, observability, orchestration, and data governance.
Summary Generated by Built In

Join a team where your engineering expertise drives impactful solutions for a global financial leader. Advance your career while shaping the future of data-driven risk assessment.

 

Job summary
 

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector Data Engineering team, you deliver secure and scalable solutions that support the firm’s Global Know Your Customer (KYC) and Risk Assessment Data Platform. You collaborate with colleagues to drive best-in-class outcomes and set engineering standards. Your leadership helps define architecture and practices across multiple teams. Together, we create trusted platforms that power the firm’s critical risk management initiatives.

 

Job responsibilities

 

  • Develop secure, high-quality production code for data-intensive applications and platforms, and mentor other engineers
  • Create durable, reusable software frameworks and patterns leveraged across teams and functions
  • Drive adoption of advanced technical methods and practices aligned with industry standards and product development methodologies
  • Advise cross-functional teams on technological matters within your domain of expertise
  • Apply knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to improve automation at scale

 

Required qualifications, capabilities and skills

 

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale
  • Expert in one or more programming languages, particularly Python and/or Java
  • Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)
  • Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
  • Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
  • Practical cloud-native experience (AWS, Azure, or GCP)
  • Ability to present and effectively communicate with senior leaders and executives

 

Preferred qualifications, capabilities and skills

 

  • Experience with modern data platforms such as Databricks or Snowflake
  • Deep hands-on experience with Spark/PySpark and other big data processing technologies
  • Expertise in open-source table formats and catalog services such as Apache Iceberg
  • Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)
 

Skills Required

  • Formal training or certification in software engineering concepts
  • 5+ years of applied software engineering experience
  • Experience with system design, application development, testing, and operational stability at enterprise scale
  • Expertise in one or more programming languages, particularly Python and/or Java
  • Advanced knowledge of software application development and technical processes
  • Experience in cloud, AI/ML, or data engineering disciplines
  • Experience with large-scale data processing, microservices, API design, Kafka, Redis, Memcached, observability tools, and orchestration frameworks
  • Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
  • Practical cloud-native experience with AWS, Azure, or GCP
  • Ability to present and communicate effectively with senior leaders and executives
  • Experience with Databricks or Snowflake
  • Hands-on experience with Spark/PySpark and other big data processing technologies
  • Expertise with Apache Iceberg and catalog services
  • Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

Gallery

Gallery

Similar Jobs

Hybrid
Hyderabad, Telangana, IND
289097 Employees
Hybrid
Hyderabad, Telangana, IND
289097 Employees
Hybrid
Hyderabad, Telangana, IND
289097 Employees

Similar Companies Hiring

Granted Thumbnail
Artificial Intelligence • Healthtech • Insurance • Mobile • Financial Services
New York, New York
23 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account