hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

Job Description

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 firmâs 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
  
  

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