Designs, develops, troubleshoots, and supports secure, scalable Java backend services. Responsibilities include architecture, REST/gRPC APIs, messaging, databases, CI/CD, infrastructure as code, cloud and container platforms, observability, secure SDLC, vulnerability remediation, incident response, and reliability improvements. The role also uses and evaluates enterprise AI-assisted development tools, guides responsible AI usage, and may support ATM, payment, cryptographic, or embedded device integrations.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Consumer & Community Banking , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
As a Software Engineer III at JPMorganChase within the Consumer & Community Banking , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proven track record defining and delivering backend architectures in Java for performance‑critical services; proficiency with at least one scripting language (Python/Bash) for tooling and automation.
- Expertise designing RESTful and/or gRPC services; deep familiarity with messaging/streaming platforms (Kafka, MQ, or similar) and relational/NoSQL databases (e.g., Oracle, PostgreSQL, DynamoDB/Cassandra).
- Hands‑on experience leading CI/CD and infrastructure‑as‑code programs; containerization/orchestration (Docker, Kubernetes) and production workloads on a major cloud (AWS/Azure).
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Advanced knowledge of secure SDLC, secrets management, TLS/mTLS; experience steering vulnerability management and remediation at the program level.
- Strong command of observability (metrics/logging/tracing), alerting, and dashboarding; history of defining SLIs/SLOs and operationalizing them across teams.
- Demonstrated ability to lead incident response, run effective post‑mortems, and drive systemic reliability improvements with SRE and partner teams.y
Preferred qualifications, capabilities, and skills
- Experience with ATM/branch channels, hardware device control, or embedded device integrations.
- Knowledge of ISO 8583/20022 and card/payment transaction processing; familiarity with HSMs, PIN translation, and cryptographic key management in financial services.
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