Software Engineer III

JPMorgan Chase & Co.•Plano, TX

About The Position

We offer an exciting opportunity to advance your career and explore new possibilities in technology. As a Software Engineer at JPMorganChase within the Commercial & Consumer Bank (CCB), API Platform team, you will help develop, automate, and maintain the firm’s API management platform. Using technologies such as Apigee, Kong, Envoy, Akamai, and edge server solutions, you will enable secure, scalable, and high-performance APIs that power products and services. This role is well-suited for engineers looking to deepen hands-on experience with modern API platforms, cloud-native architectures, and real-world operational challenges while collaborating with experienced teams.

Requirements

Formal training or certification in software engineering concepts and 3+ years of applied experience.
3+ years of software development experience.
Hands-on experience using enterprise-authorized AI-assisted software development tools (e.g., coding, test creation, troubleshooting, documentation) with the ability to evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations; ability to guide peers on safe and effective usage.
Proficiency in Python and JavaScript
Experience in application development, testing, and operational support.
Experience designing, implementing, and managing API Gateway solutions (including Apigee, Kong, and Envoy), with strong knowledge of microservices architecture and modern API technologies.
Strong debugging and troubleshooting skills; familiarity with SRE practices and incident management to deliver rapid solutions for internal stakeholders.
Architectural mindset with focus on scalability, reliability, and best practices in solution design.
Exposure to relational and NoSQL databases, plus cloud-native, Agile, DevOps, and test-driven development (TDD) methodologies.
Ability to learn and apply new technical concepts independently.

Nice To Haves

Working knowledge of networking and connectivity, including diagnosing latency, DNS issues, cloud connectivity, edge server operations, and CDNs such as Akamai.
Strong understanding of API security, including transport security, payload encryption, certificate management, OAuth, and DDoS protection.
Familiarity with core gateway capabilities across security, traffic management, and API lifecycle management.
Experience or strong interest in observability tooling (Splunk, Grafana, Snowflake).
Exposure to designing scalable, resilient systems on public cloud platforms (e.g., AWS).

Responsibilities

Design, build, and maintain API gateway and API management solutions using platforms such as Apigee, Kong, Envoy, Akamai, and edge server technologies.
Use enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contribute reusable patterns and learnings to improve team effectiveness.
Apply SDLC toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities, to increase the value realized from automation.
Implement and enforce API security standards, including authentication and authorization mechanisms (OAuth, LDAP, SAML, Kerberos).
Engineer API traffic management controls such as rate limiting, throttling, and quota enforcement to support performance and reliability objectives.
Implement logging, monitoring, and observability using tools such as Splunk, Grafana, and Datadog to improve visibility and accelerate incident response.
Partner with engineers, product managers, and designers to deliver effective solutions for the API developer community.
Participate in code reviews and contribute to continuous improvements in code quality, reliability, and maintainability; Communicate clearly with team members and stakeholders to support delivery and project objectives.
Develop secure, high-quality production code aligned to engineering standards and best practices.
Support platform automation initiatives and cloud-native solution implementations; Engage with the broader engineering community to learn and apply industry frameworks, tools, and SDLC practices.
Promote a team culture grounded in diversity, opportunity, and respect.