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 Asset & Wealth Management, 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 are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
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 3+ 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, OpenTelemetry)
- 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