Lead Software Engineer - Python/Java, SRE

Posted 3 Hours Ago
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Hyderabad, Telangana, IND
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead SRE-focused engineer building automation and tooling to improve AI/ML and data platform scalability and resiliency. Design, implement, and support production code, troubleshooting, and platform configuration across Databricks, Snowflake, AWS, and Kubernetes. Mentor team members, drive automation to reduce toil, and promote secure, AI-assisted engineering practices.
Summary Generated by Built In

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Lead Software Engineer at JPMorgan Chase within the AI/ML Data Platforms team, you will be instrumental in building automation and tooling to improve the scalability and resiliency of the AI/ML and Data Platform that runs the firm. You will also engage in root cause analysis, production changes, budgetary considerations, and staffing challenges. Your experience will be vital in managing and mentoring team members to drive strategic change, both within your team and in partnership with colleagues across JPMorgan Chase & Co.'s global network of innovators.

Job Responsibilities:

  • Identify and Implement tooling that will expedite issue detection and resolution for multiple technologies such as Databricks, Snowflake, AWS, Kubernetes, etc.
  • Develop and support AI/ML solutions for troubleshooting and incident resolution.
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
  • Performs platform design, set-up and configuration, providing engineering support to data engineering teams, Data Science/ML, and Application/integration teams.
  • Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence.
  • Mentor and guide team members to foster innovation and strategic change.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. 
  • 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. 

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 8+ years applied experience
  • Proficient in Python, PySpark, and/or Java application program development with use of automated unit testing.
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Must be able to reduce toil by building new tools to automate repeated tasks.
  • Strong understanding of SLI/SLO/SLA and Error Budgets
  • Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
  • Understanding of network topologies, load balancing, and content delivery networks.
  • Awareness of risk controls and compliance with departmental and company-wide standards.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices 

Preferred qualifications, capabilities and skills

  • Experience in Data pipelines using Spark
  • Exposure to AWS & Databricks Platform administration
  • Knowledge of containerization (Docker, Kubernetes) and orchestration
  • Familiarity with distributed systems and large-scale data processing 
About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Skills Required

  • Formal training or certification on software engineering concepts and 8+ years applied experience
  • Proficient in Python, PySpark, and/or Java application development with automated unit testing
  • Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
  • Ability to reduce toil by building new tools to automate repeated tasks
  • Strong understanding of SLI/SLO/SLA and error budgets
  • Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
  • Understanding of network topologies, load balancing, and content delivery networks
  • Awareness of risk controls and compliance with departmental and company-wide standards
  • Strong understanding of responsible AI use in engineering workflows and experience coaching engineers on safe, compliant adoption
  • Experience in data pipelines using Spark
  • Exposure to AWS and Databricks platform administration
  • Knowledge of containerization (Docker, Kubernetes) and orchestration
  • Familiarity with distributed systems and large-scale data processing

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 comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
  • Retirement Support A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
  • Leave & Time Off Breadth Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.

JPMorganChase Insights

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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.

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