Lead Software Engineer - SRE Cloud Engineer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Finance and Risk Warehouse SRE Team, you will solve complex and broad business problems with simple and straightforward solutions.

Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions.

Job responsibilities


* Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate.


* Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery (CI/CD) pipelines.


* Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications.


* Implements infrastructure, configuration, and network as code for the applications and platforms in your remit.


* Collaborates with technical experts, key stakeholders, and team members to resolve complex problems.


* Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers.


* Supports the adoption of site reliability engineering best practices within the team.


* Monitors and responds to production alerts, providing L1 and L2 support to minimize customer impact.


* Provides weekend and on-call production support as part of the team rotation.


* 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 5+ years applied experience.


* Strong analysis, research, investigation, and evaluation skills, with a structured approach to problem solving.


* Proficient in at least one programming language such as Python, Java/Spring Boot, Scala, and/or .Net.


* Hands-on with infrastructure as code (IaC) using tools such as Terraform and AWS CDK.


* Experience developing and running data pipelines using PySpark and good debugging skills.


* Experience managing and develo...