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

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