Software Engineer III -Java Full Stack

JPMorgan Chase & Co. • Plano, TX

2d • $137,750 - $185,000

About The Position

As a Software Engineer III at JPMorgan Chase within the CTO – Identity & Access Management (IAM) organization, you will serve as a seasoned member of an agile team designing and delivering secure, stable, scalable technology products. You will build and operate an AWS-based data platform and control plane that automates cloud infrastructure provisioning, platform configuration, and data pipeline enablement, including the Databricks-on-AWS implementation. The role carries responsibility for delivering critical technology solutions across technical areas in support of the firm’s business objectives.

The position focuses on a Python-based control plane, secure backend services and APIs, infrastructure-as-code, automation, and reliable platform operations. You will collaborate with IAM/security, data engineering, and application teams to integrate platform controls and enable secure analytics at scale. You will also use enterprise-authorized AI development tools responsibly to improve productivity and quality, validating generated work through peer review, testing, and secure coding practices.

Requirements

• Formal training or certification in software engineering concepts and at least 3 years of applied experience.
• Practical experience in system design, application development, testing, and operational stability.
• Strong experience developing, debugging, and maintaining production code in a large corporate environment using Python (preferred) or another modern programming language and UI technologies.
• Strong AWS and infrastructure fundamentals, including services such as IAM, KMS, S3, and CloudWatch, as well as compute or orchestration such as EKS, ECS, or Lambda where applicable.
• Hands-on experience with infrastructure-as-code (Terraform preferred; CloudFormation acceptable) and automation-first engineering.
• Solid understanding of the SDLC, including CI/CD, automated testing, and safe deployment practices.
• Hands-on experience using enterprise-authorized AI-assisted software development tools, with the ability to critically evaluate, validate, and refine generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations; ability to guide peers on safe and effective use.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies, CI/CD, application resiliency, and security.

Nice To Haves

• Hands-on experience with Databricks on AWS or similar data engineering and analytics platforms, such as Spark-based environments or data lake/lakehouse platforms, and related jobs/orchestration, cluster/runtime, or governance/catalog components.
• Familiarity with modern front-end technologies such as React, TypeScript, and HTML/CSS.
• Familiarity with data pipelines and working with large-scale datasets.
• Production experience with streaming or distributed systems such as Apache Kafka.
• IAM domain knowledge, including authentication, authorization patterns, and RBAC/ABAC concepts.
• Experience with observability tools such as Datadog, Splunk, Dynatrace, or Grafana.
• Kubernetes and Docker familiarity.

Responsibilities

• Execute software solutions across design, development, and technical troubleshooting, including breaking down technical problems and considering non-routine approaches.
• Create secure, high-quality production code and maintain services and automation supporting AWS data platform provisioning and pipeline enablement.
• Design, develop, and troubleshoot a Python-based control plane for platform provisioning, configuration, and pipeline enablement, including Databricks-on-AWS.
• Build secure, reliable backend services and APIs for self-service workflows such as onboarding, workspace and environment provisioning, policy and guardrails, job orchestration hooks, environment configuration, and secrets and access patterns.
• Implement infrastructure-as-code and automation for AWS platform components, including identity controls, encryption, networking integrations, logging, monitoring, and guardrails.
• Use enterprise-authorized AI coding tools to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards, and share reusable practices with the team.
• Apply SDLC toolchain capabilities, including authorized AI-assisted development and automation, to improve the value realized by automation.
• Produce architecture and design artifacts for complex applications and ensure software development meets design constraints for security, resiliency, scalability, and cost.
• Drive reliability and observability practices, including logs, metrics, tracing, retries, idempotency, timeouts, and runbooks, and continuously improve platform operations.
• Partner with IAM/security, data engineering, and application teams to integrate platform controls and enable secure analytics at scale.
• Identify hidden problems and patterns in operational data and use those insights to improve coding hygiene and system architecture.

Benefits

• Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed