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 Securities Services Engineering and Architecture team, you will deliver high-quality architecture solutions for modern cloud-based applications. You will work closely with technology teams across multiple product areas, providing subject matter expertise and supporting proofs of concept. Your deep technical knowledge and problem-solving skills will help design and operate secure, efficient cloud-native applications across private and public cloud environments. You will play a key role in shaping our technology landscape and driving innovation.
Job Responsibilities:
- Engage with technical and business stakeholders to understand requirements and propose effective technical solutions.
- Provide oversight and guidance to technology teams deploying workloads to public cloud environments.
- Participate in architecture governance bodies to ensure alignment with organizational standards.
- Execute creative solution design, development, and technical troubleshooting across software and infrastructure.
- 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.
- Identify gaps in current technologies and recommend improvements.
- Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials.
- Identify opportunities to automate or eliminate recurring issues, improving operational stability.
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on experience with public cloud solution design, primarily AWS.
- Proficiency in one or more mainstream programming languages, such as Java or Python.
- Experience with microservice application development or solution-oriented/N-tier architecture.
- Familiarity with multiple data storage technologies, including RDBMS and NoSQL.
- 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.
- Demonstrated expertise in software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile).
- Advanced knowledge of software, applications, and architecture disciplines.
- Ability to evaluate current and emerging technologies to recommend future state architecture solutions.
Preferred Qualifications, Capabilities, and Skills:
- Experience in secure application and software design practices.
- Experience with infrastructure as code designs.
- Architecture certification for a public cloud provider.
- In-depth knowledge of the financial services industry and related IT system