Live opening · Posted 7 hours ago

Architect II

JPMorgan Chase · Bengaluru, Karnataka, India
Oracle
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanyJPMorgan Chase
LocationBengaluru, Karnataka, India
SkillsAWS, Kubernetes, Terraform, PostgreSQL
SourceOracle
ListedPosted 7 hours ago

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About the role

Description supplied by the original job listing.

You are ready to revolutionize your career and the world of technology with an iconic company. Now is the time to take the reins on this exciting opportunity.
As an Architect III at JPMorganChase within the Corporate and Investment Banking - Risk and Control Management team, you serve as a seasoned member of a team by incorporating leading best practices and collaborating with other architects to develop high-quality architecture solutions for various software applications and platforms. You are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Executes architecture solutions and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down problems
Applies enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and design (e.g., option evaluation, trade-offs, and documentation), validating outputs and handling data according to sensitivity and security requirements.
Produces architecture and design artifacts for complex applications, evaluates design recommendations, and is accountable for ensuring that design constraints are met by software code development
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
Represents a product in architectural governance bodies
Leads the product team in evaluating new technologies using existing standards and frameworks, and develops recommendations to influence progress to modern architecture
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Drives reuse-first adoption of enterprise-authorized AI-enabled patterns and guardrails within the work environment across the product’s SDLC and engineering governance (e.g., design reviews, CI/CD quality gates, testing, and operational readiness), ensuring traceability and human-in-the-loop validation.
Contributes to architecture communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
Formal training or certification on architecture concepts and 2+ years applied experience (NAMR/APAC – India/ LATAM/ Hong Kong)
Strong knowledge of one or more software applications and architecture development within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Working knowledge of applying enterprise-authorized AI capabilities within the work environment to software engineering workflows (e.g., requirements interpretation, design support, code/test assistance) with strong validation habits and awareness of data sensitivity.
Ability to evaluate and integrate AI-enabled features and architectural patterns (e.g., model/service integration, retrieval patterns, monitoring considerations) while maintaining security, resiliency, and auditability expectations.
Ability to evaluate current technologies to recommend ways to optimize architecture
Hands-on practical experience in system design, application development, testing, and operational stability
Proficient in coding in one or more languages
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle, including agile practices such as CI/CD, application resiliency, and security
Preferred qualifications, capabilities, and skills
Strong experience in SDLC delivery in Agile methodologies
Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instances
Experience writing Terraform scripts and deploying in AWS production environment
Experience in at least one relational database management system (preferably Oracle or PostgreSQL)

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