Software Engineer III -Java Full Stack

What the role needs

• We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
• We’re looking for a curious engineer who thrives in ambiguity, learns quickly, and delivers high-quality outcomes—leveraging enterprise-authorized AI tools responsibly to improve productivity and drive business value
• Execute software solutions across design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Create secure and high-quality production code and maintain services/automation that support data platform provisioning and pipeline enablement on AWS.
• Design, develop, and troubleshoot software solutions for a Python-based control plane that automates platform provisioning, configuration, and pipeline enablement (including Databricks-on-AWS).
• Implement infrastructure-as-code and automation for AWS platform components (identity controls, encryption, networking integrations, logging/monitoring, guardrails).
• Apply 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.
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development (security, resiliency, scalability, cost).
• Drive reliability and observability practices (logs/metrics/tracing, retries, idempotency, timeouts, 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.
• Proactively identify hidden problems and patterns in operational data and use these insights to drive improvements to coding hygiene and system architecture.
• Required qualifications, capabilities, and skills

From the employer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the CTO – Identity & Access Management (IAM) organization, you serve as a seasoned member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You will build and operate an AWS-based data platform and control plane that automates provisioning of cloud infrastructure, platform configuration, and data pipeline enablement (including our Databricks-on-AWS implementation). You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. We’re looking for a curious engineer who thrives in ambiguity, learns quickly, and delivers high-quality outcomes—leveraging enterprise-authorized AI tools responsibly to improve productivity and drive business value Job responsibilities • Execute software solutions across design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. • Create secure and high-quality production code and maintain services/automation that support data platform provisioning and pipeline enablement on AWS. • Design, develop, and troubleshoot software solutions for a Python-based control plane that automates platform provisioning, configuration, and pipeline enablement (including Databricks-on-AWS). • Build secure, reliable backend services and APIs that enable self-service workflows (e.g., onboarding, workspace/environment provisioning, policy/guardrails, job orchestration hooks, environment configuration, secrets/access patterns). • Implement infrastructure-as-code and automation for AWS platform components (identity controls, encryption, networking integrations, logging/monitoring, guardrails). • Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness. • Apply 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. • Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development (security, resiliency, scalability, cost). • Drive reliability and observability practices (logs/metrics/tracing, retries, idempotency, timeouts, 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. • Proactively identify hidden problems and patterns in operational data and use these insights to drive improvements to coding hygiene and system architecture. Required qualifications, capabilities, and skills • Formal training or certification on software engineering concepts and 3+ years applied experience • Hands-on practical experience in system design, application development, testing, and operational stability. • Strong experience developing, debugging, and maintaining production code in a large corporate environment with Python (preferred) or another modern programming language and UI technologies. • Strong experience with AWS and infrastructure fundamentals, including services such as IAM, KMS, S3, CloudWatch (and compute/orchestration such as EKS/ECS/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 within the work environment with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices. • Overall knowledge of the Software Development Life Cycle. • Solid understanding of agile methodologies such as CI/CD, application resiliency, and security. Preferred qualifications, capabilities, and skills • Hands-on experience with Databricks on AWS or similar data engineering / analytics platforms (e.g., Spark-based environments, data lake/lakehouse platforms) and ecosystem components (jobs/orchestration, cluster/runtime concepts, governance/catalog concepts). • Familiarity with modern front-end technologies such as React , TypeScript , HTML/CSS. • Familiarity with data pipeline and working with large-scale datasets. • Experience with streaming or distributed systems (e.g., Apache Kafka) in production environments (good to have). • IAM domain knowledge (Auth, authorization patterns, RBAC/ABAC concepts). • Experience with observability tooling (Datadog, Splunk, Dynatrace, Grafana). • Kubernetes/Docker familiarity. Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team