Software Engineer II - SRE/Java Engineer

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorganChase within the Commercial & Investment Bank- Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities
- Executes standard software solution, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Leverages enterprise-authorized AI coding assist tools within the work environment 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.
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- 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
- Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- SRE mindset and working knowledge of reliability principles, including availability, scalability, incident management, and iterative improvement
- Proficiency in at least one programming language such as Java/Spring Boot
- Experience maintaining a Cloud-base infrastructure
- Familiar with observability such as white and black box monitoring, service level objective alerting, and telemetry collection/visualization using tools such as Grafana, Dynatrace, Prometheus, Phoenix, Splunk, OpenTelemtry and others
- Familiarity with containers and orchestration technologies such as Docker or Amazon Elastic Container Service
- Emerging knowledge of software, applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, etc.)
- Emerging knowledge of continuous integration and continuous delivery tools (e.g., Jenkins, Jules, Spinnaker, BitBucket, GitLab, Terraform, etc.)
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
Preferred qualifications, capabilities, and skills
- Experience designing reliability improvements using error budgets, capacity planning, and resilience patterns (e.g., rate limiting, backpressure, graceful degradation)
- Experience improving release safety with progressive delivery practices (e.g., canary deployments, feature flags, automated rollbacks)
- Experience implementing automated quality gates (unit, integration, performance, and security testing) within delivery pipelines
- Exposure to incident management practices, post-incident reviews, and implementing measurable remediation actions to prevent recurrence
- Familiarity with infrastructure-as-code and standardized environment provisioning to improve consistency and auditability