Lead Software Engineer - Data Platform

Archer; Austin (TX); Presencial; USD 180 000 - 240 000; Tempo integral

Resumo da oferta

JPMorgan Chase in Austin seeks a Lead Software Engineer to join the Commercial & Investment Banking Data Analytics - Payments Technology team. You will contribute as a core technical member building trusted, scalable products in a secure environment within an agile team.

The role focuses on building data pipelines with Spark, Airflow, Kafka, and Flink; implementing AI-assisted development, ensuring production readiness and security; collaborating with analytics, product managers, and

Qualificações

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Demonstrated experience leading AI-assisted software development tools with secure code practices.

Responsabilidades

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches.
• Designs, builds, and maintains scalable data pipelines for batch and real-time processing using Spark, Airflow, Kafka, and Flink.
• Drives team adoption of enterprise AI-assisted engineering practices to improve code quality and delivery speed while upholding standards.
• Applies SDLC tools to improve automation and value realization.
• Design, build and manage enterprise applications at scale for robust data processing and ingestion.
• Lead the design and evolution of event-driven microservices workflows using Kafka for inter-service communication.
• Implements data modeling strategies to support analytics and reporting.
• Partners with analytics, product managers, and stakeholders to translate requirements into production-grade solutions.
• Set and uphold engineering standards for Spring Boot services and security.
• Ensure production readiness through observability, alerting, and incident response.
• Develops secure high-quality production code and reviews others' code.
• Leads exploration of new technologies and architectures with external teams.

Conhecimentos

Spark

Airflow

Kafka

Flink

Python

Java

SQL

CI/CD

AI-assisted development tools

Secure coding

Data modeling

AWS

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Spark

Airflow

Kafka

Flink

Python

Java

SQL

AWS

Glue

Redshift

Athena

EMR

Descrição da oferta de emprego

Archer is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Banking – Data Analytics – Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Designs, builds, and maintains scalable data pipelines for batch and real-time processing using Spark, Airflow, Kafka, and Flink.
• 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.
• Design, build and manage enterprise applications as scale to ensure robust and fault tolerant data processing and ingestion.
• Lead the design and evolution of event-driven microservices workflows, using Kafka for inter-service communication and reliable asynchronous processing (at-least-once delivery, retries, and DLQ patterns).
• Implements data modeling strategies (fact and dimensional, wide tables) to support analytics, reporting, and downstream consumption
• Partners with analytics teams, product managers, and business stakeholders to translate requirements into production-grade solutions.
• Set and uphold engineering standards for the team's Spring Boot services (API design, error handling, security, logging, performance tuning, versioning).
• Ensure production readiness through observability (metrics, logs, tracing), alerting, incident response runbooks, and proactive problem management.
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Demonstrated professional experience focused on software engineering or data platform development
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, 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/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Advanced in one or more programming languages(s); Python, Java and SQL
• Hands-on experience with distributed data processing frameworks such as Apache Spark and Flink
• Solid understanding of data modeling techniques (star schema, snowflake) and query optimization
• Proficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent)
• Experience with AWS cloud platforms, including deploying and operating services in a cloud environment
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred Qualifications, Capabilities, And Skills

• Experience in designing and operating data pipelines on Databricks using orchestration tools such as Apache Airflow is a plus.

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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.