J

JP Morgan Chase

Runs a consumer bank and an investment bank

Sr Lead Software Engineer

Full-Time
$175.8k - $260k/yr
Senior
Houston, TX, USA+1 moreMore locations: Jersey City, NJ, USA
In Person
Software EngineeringAI Application Engineering

About the job

Requirements
  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on experience building and shipping large language model-based applications and agentic systems with tool use, memory, and multi-step reasoning in production environments.
  • Advanced proficiency in one or more programming languages, particularly Python and/or Java.
  • Deep experience with large-scale data processing, microservices, application programming interface design, and event streaming with Kafka.
  • Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures.
  • Experience with caching technologies such as Redis and Memcached, observability tools such as Dynatrace, Splunk, and Grafana, and orchestration frameworks such as Airflow and Temporal.
  • Proficiency in continuous integration and continuous delivery, test-driven development, automation, and all aspects of the Software Development Lifecycle.
  • Strong understanding of agile methodologies, application resiliency, and security best practices.
  • Practical cloud-native engineering experience with AWS, Azure, or Google Cloud Platform.
  • Demonstrated experience leading the effective use of enterprise-authorized AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations.
  • Experience coaching senior engineers and leads on compliant AI usage patterns and controls.
Responsibilities
  • Develop secure, high-quality production code for data-intensive applications and platforms, and review and debug code written by others.
  • Lead the end-to-end design and implementation of complex software features from requirements through deployment and operational stability.
  • Drive technical decisions that influence application design, functionality, performance, and reliability.
  • Build and maintain agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments.
  • Implement large language model-based applications, including retrieval-augmented generation pipelines, embedding workflows, vector store integrations, and model-serving infrastructure.
  • Own observability, evaluation, and safety of production AI systems, including prompt monitoring, output validation, cost tracking, and latency optimization.
  • Identify and execute opportunities to automate remediation of recurring issues and improve operational stability.
  • Execute software solutions through design, development, and technical troubleshooting to solve complex and ambiguous problems.
  • Mentor and coach junior and mid-level engineers, conduct code reviews, and share engineering best practices.
  • Contribute to firmwide frameworks, tools, and Software Development Lifecycle practices as an engaged member of the engineering community.
  • Drive adoption and governance of approved AI-assisted engineering practices across teams, establish measurable validation standards, and promote reuse of proven patterns and automation within the Software Development Lifecycle and technology lifecycle management toolchain.
  • Apply knowledge of tools within the Software Development Lifecycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Desired Qualifications
  • Experience with large language model orchestration frameworks.
  • Hands-on experience with model-serving infrastructure or managed endpoints such as AWS Bedrock and Azure OpenAI.
  • Familiarity with AI evaluation and observability practices, including evaluation frameworks, red-teaming, prompt drift detection, and cost and latency monitoring.
  • Understanding of agentic design patterns and how to constrain agent autonomy in high-stakes financial workflows.
  • Experience with modern data platforms such as Databricks or Snowflake.
  • Hands-on experience with Spark or PySpark and big data processing at scale.
  • Knowledge of the financial services industry and its technology systems.
  • Awareness of AI risk and regulatory considerations relevant to AI use in financial decision-making.

About the company

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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Simplify's Take

What believers are saying

  • Growth is broad-based: every JPMorgan division posted record revenue in the June 2026 quarter, and trading jumped 35%.
  • Stock grants gained value: shares rose 21% in three months, valuing JPMorgan at $965 billion in August 2026.
  • Tech teams are well funded: JPMorgan's nearly $20 billion yearly tech budget is the largest in banking.

What critics are saying

  • AI is shrinking some teams: Dimon said in July 2026 that AI cut up to 40% of certain roles.
  • Plan on five office days a week: JPMorgan ended hybrid schedules for all staff in early 2025.
  • It is fighting the president in court: Trump sued JPMorgan for $5 billion in January 2026 over his closed accounts.

What makes JP Morgan Chase unique

  • It ranks first in investment banking: JPMorgan earned 9.3% of global deal fees in the first half of 2026.
  • It trains future CEOs: 10 Fortune 500 chiefs were JPMorgan alumni in September 2025, fifth-most of any employer.
  • Its payments arm is a hidden giant: JPMorgan says it processes $12 trillion a day across 160-plus countries.

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Benefits

Health Insurance

Flexible Work Hours

Paid Sick Leave

Paid Holidays

Growth & Insights and Company News

Headcount

6 month growth

-9%

1 year growth

-4%

2 year growth

-4%
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