Software Engineer II - Terraform, AWS, Python

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 JPMorgan Chase within the Asset & Wealth Management, 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

• Develops Python services, APIs, and tooling to improve CI/CD, deployment orchestration, and developer productivity on AWS

• Builds scalable, secure microservices and batch workflows using AWS services; ensure best practices for networking, identity, and security

• Owns infrastructure as Code with Terraform (modules, state management, environments); establish standards, reviews, and automation for plans/apply

• Builds integrations with enterprise systems and AWS services in Python; create reusable SDKs, CLI tools, templates, and libraries

• Implements policy-as-code, audit logging, compliance controls; enforce RBAC and secure secrets handling across applications and infrastructure

• Optimizes deployment strategies (canary, blue/green), rollbacks, approvals, and gates within CI/CD pipelines

• Drives automated testing (unit, integration, contract) with Python frameworks; manage test data and continuous quality gates.

Ensures reliability and observability with logging, metrics, tracing, alerts; define SLOs and error budgets

• Implements performance tuning and cost optimization across compute, storage, and networking

• Collaborates with product, platform, security, and SRE teams

• Contributes to roadmap, estimation, and delivery plans; manage technical risk, debt, and cross-team dependencies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 2+ years applied experience

• Proficiency in full stack development and strong experience with CI/CD platforms

• In-depth experience designing, deploying, and managing solutions on AWS, including VPC, IAM, EC2, S3, Lambda, and networking/security best practices

• Hands-on expertise with infrastructure-as-code using Terraform for provisioning and managing cloud resources

• Proficient in containerization with Docker, including building, optimizing, and securing container images.

Strong background in orchestrating and scaling workloads using Kubernetes RBAC, and cluster management

• Familiarity with multi-cloud environments (AWS, Azure, GCP) and integrating cloud-native services into CI/CD pipelines.

Expertise in pipeline design, deployment strategies, and release governance in regulated environments

• Must have a security-first mindset, secrets management, RBAC, OIDC/SAML, compliance, audit, and policy-as-code (OPA)

• Proficiency on observability; logs, metrics, tracing (Datadog, Splunk, Prometheus, Open

Telemetry)

• Strong architectural design, documentation, and stakeholder communication skills

Preferred qualifications, capabilities, and skills

• Experience with Agentic AI or integrating AI/ML models into CI/CD workflows.

Familiarity with AI-driven automation, intelligent agents, or LLM-based developer tools

• Experience with API Gateway, container orchestration, serverless architectures, and Terraform Cloud/Enterprise

• Knowledge of security best practices in AWS, especially as they relate to AI/ML workloads.

Exposure to prompt engineering, AI workflow orchestration, or embedding AI stages in the SDLC

• Interest in continuous learning and experimentation with emerging AI technologies in software engineering