Software Engineer II - Site Reliability Engineer with Java

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Software Engineer II (SRE/Java) to join the Payments Technology team. You will contribute to the design, development, and troubleshooting of secure, scalable software components within an agile environment.

The role emphasizes reliability, observability, cloud infrastructure, and modern CI/CD practices, with exposure to AI-assisted development tools and secure coding standards. Collaboration across teams is essential for resilient systems.

Qualifications

• Formal training or certification in software engineering and 3+ years of applied experience.
• SRE mindset and 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 and monitoring tools (Grafana, Dynatrace, Prometheus, OpenTelemetry, etc.).
• Familiarity with containers and orchestration (Docker, Amazon ECS).
• Emerging knowledge of CI/CD tools (Jenkins, Jules, Spinnaker, Bitbucket, GitLab, Terraform).
• Hands-on with AI-assisted software development tools and secure coding practices.
• Understanding of responsible AI use in engineering workflows.

Responsibilities

• Executes standard software solution design, development, and troubleshooting.
• Writes secure, high-quality code using Java/Spring Boot with limited guidance.
• Uses enterprise AI coding assist tools to improve quality and speed, with peer review and secure coding standards.
• Designs and troubleshoots components with consideration of upstream/downstream systems.
• Implements automation to improve value of SDLC tooling and processes.
• Applies troubleshooting to resolve basic complexity problems.
• Analyzes large data sets to identify problems and support secure, stable development.
• Learns system processes and skills for secure, stable code and systems.

Skills

Java/Spring Boot

SRE mindset

Cloud infrastructure

Observability

Docker

Amazon ECS

CI/CD tools

AI-assisted development

Secure coding

SQL/DB querying

Tools

Jenkins

Jules

Spinnaker

Bitbucket

GitLab

Terraform

Docker

Kubernetes

OpenTelemetry

Job description

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