Sr Lead Software Engineer - Cassandra / AWS / Databricks

JPMorgan Chase & Co.; Plano (TX); On-site; USD 170,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Senior Lead Software Engineer to drive design, development, and operational excellence for trusted technology products within Corporate Technology.

You will champion AI-assisted practices, automate monitoring and release processes, and lead multi-technology data solutions with Python, Snowflake, Cassandra, and Databricks across AWS. You will collaborate with QA and development teams, own data-driven reporting, and contribute to secure, scalable software delivery in a

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• At least 3 years of software engineering experience with a focus on automation, monitoring, and incident management.
• Proficient in Python, Snowflake, Cassandra, Databricks, AWS, and SQL. Hands-on expertise in Python, Snowflake, Cassandra (including managing multiple clusters, diagnosis, and resiliency), and Databricks is mandatory and must be ready for full Hands-on solution building.
• Demonstrated experience leading enterprise-authorized AI-assisted software development tools within the work environment with the ability to set team expectations for validating AI outputs for correctness, performance, and security; strong understanding of responsible AI use.
• Expert Level in Cassandra management and operational setups and linkage between Databricks Workflows/Jobs, Unity Catalog permissions and governance, AWS Lambda and Step Functions, and developing REST APIs using API Gateway.
• Databricks certified and strong knowledge of Databricks and AWS Components.
• Skilled in job scheduling tools such as Autosys and Airflow.
• Experienced in performance monitoring and capacity management using Grafana, Splunk, and Dynatrace.
• Strong communication, collaboration, and problem-solving skills.
• Willing to participate in support rotations, including weekends and late shifts.

Responsibilities

• Design and develop innovative software solutions, applying creative problem-solving skills to address complex technical challenges.
• Provide comprehensive production support, including batch job management, incident troubleshooting, and resolution of data delivery issues to ensure system reliability.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Lead automation efforts for monitoring, reporting, and operational tasks to enhance system health, efficiency, and resiliency.
• Utilize key monitoring tools and drive process improvements to maximize system stability and performance.
• Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that support continuous improvement of applications and systems.
• Proactively identify hidden issues and patterns in data, using insights to improve coding hygiene and system architecture.
• Collaborate with QA and Application Development teams to define and implement quality metrics for data processing, ingestion, API validation, cloud migration, and throughput testing.
• Oversee release management and software development lifecycle activities, with hands-on experience in Jules and Jenkins pipeline deployments.

Skills

Python

Snowflake

Cassandra

Databricks

AWS

SQL

AI-assisted engineering tools

Monitoring & incident management

REST APIs

Jenkins

Education

Software engineering concepts certification

Tools

Databricks Workflows/Jobs

Unity Catalog

AWS Lambda

Step Functions

API Gateway

Autosys

Airflow

Grafana

Splunk

Dynatrace

Jules

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking - Corporate 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

• Design and develop innovative software solutions, applying creative problem-solving skills to address complex technical challenges.
• Provide comprehensive production support, including batch job management, incident troubleshooting, and resolution of data delivery issues to ensure system reliability.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Lead automation efforts for monitoring, reporting, and operational tasks to enhance system health, efficiency, and resiliency.
• Utilize key monitoring tools and drive process improvements to maximize system stability and performance.
• Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that support continuous improvement of applications and systems.
• Proactively identify hidden issues and patterns in data, using insights to improve coding hygiene and system architecture.
• Collaborate with QA and Application Development teams to define and implement quality metrics for data processing, ingestion, API validation, cloud migration, and throughput testing.
• Oversee release management and software development lifecycle activities, with hands-on experience in Jules and Jenkins pipeline deployments.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• At least 3 years of software engineering experience with a focus on automation, monitoring, and incident management
• Proficient in Python, Snowflake, Cassandra, Databricks, AWS, and SQL.Hands-on expertise in Python, Snowflake, Cassandra (including managing multiple clusters, diagnosis, and resiliency), and Databricks is mandatory and must be ready for full Hands-on solution building.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Expert Level inCassandra management and operational setups and linkage between Databricks Workflows/Jobs(scheduling and monitoring),Unity Catalogpermissions and governance,AWS LambdaandStep Functions, and developingREST APIsusing API Gateway.
• Databricks certified and strong knowledge of Databricks and AWS Components
• Skilled in job scheduling tools such as Autosys and Airflow
• Experienced in performance monitoring and capacity management using Grafana, Splunk, and Dynatrace
• Strong communication, collaboration, and problem-solving skills
• Willing to participate in support rotations, including weekends and late shifts