Software Engineer II - SRE/Java Engineer

JP Morgan Chase; Bengaluru; Presencial; INR 1.200.000 - 2.000.000; Jornada completa

Descripción de la vacante

JP Morgan Chase in Bengaluru seeks a Software Engineer II to join the Payments Technology team. You will contribute to the design, development, and troubleshooting of secure, scalable software components within an agile team.

You will apply reliability principles, work with cloud infrastructure, and utilize AI-assisted development tools to enhance code quality and delivery speed while ensuring secure coding standards. Strong collaboration across teams is essential.

Formación

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• SRE mindset and reliability principles including availability and scalability
• Proficiency in Java/Spring Boot
• Experience maintaining a Cloud-based infrastructure
• Familiar with observability tools and telemetry collection
• Familiarity with containers and orchestration (Docker/Kubernetes)
• Knowledge of CI/CD tools (Jenkins, GitLab, Terraform, etc.)
• Experience in large corporate environments with modern languages and DB querying
• Hands-on use of AI-assisted development tools with validation of outputs
• Understanding responsible AI usage and security expectations.

Responsabilidades

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code in at least one programming language with limited guidance.
• Leverages AI coding assist tools to improve quality, speed, and productivity with peer review and automated testing.
• Designs, develops, codes, and troubleshoots considering upstream/downstream systems.
• Applies SDLC tools and automation to improve value of automation.
• Troubleshoots basic complexity problems.
• Analyzes large data sets to identify problems and inform decisions for secure, stable development.
• Learns system processes and skills for secure code and systems.

Conocimientos

Java/Spring Boot

SRE mindset

Cloud base infrastructure

Observability tooling

AI-assisted coding tools

CI/CD practices

Software debugging

Problem solving

Secure coding

Team collaboration

Herramientas

Docker

Kubernetes

Terraform

Jenkins

GitLab

Dynatrace/OpenTelemetry/Splunk

Grafana

Descripción del empleo

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 onsoftware engineeringconcepts 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