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Salary
≈ $62k – $161k per year (Estimated)
Location
In office (Buenos Aires)
Seniority
Staff

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 25, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

We’re looking for passionate engineers with broad exposure to multiple technologies, driven by the desire to learn, to understand, to invent, and to push boundaries.

As a Software Engineer at JPMorgan Chase within the Corporate Technology Office you will contribute to designing and delivering trusted, market-leading distributed access control technology products in a secure, reliable, and scalable way.

The Governance engineering team is working on the intersection of distributed systems, inference systems and agentic systems. The team has established a world-leading position in patented next-generation policy-driven distributed access management. Integration projects are complex and involve collaboration across multiple teams on different time schedules.

We use scaled agile methodologies in our development practices. We believe that great software is developed through ongoing, thoughtful conversations about delivery against actual business and regulatory requirements, within a high-level framework which establishes a sound semantic model and long-lived APIs.

We work in a technically diverse ecosystem using a mixture of vendor products, open-source products, and custom in-house solutions. We define policy across information models expressed in RDF and UML, retrieve data via Graph and REST APIs, and deploy a reusable component across multiple points in the application flow, in both containerized and non-containerized patterns. We combine it all through a managed services layer.

Job responsibilities

  • Decompose technical problems and build loosely coupled, highly cohesive solutions at the appropriate level of abstraction, with the ability to think beyond routine, conventional approaches.
  • Crafts secure, high-quality production code. Have an eye for detail and a passion for quality code.
  • Contribute to collaborative team culture of mutual respect and active leadership, and corresponding followership, from every member.
  • Learning mindset that contributes and explores new and emerging technologies.
  • Strong software engineering fundamentals and programming skills
  • Demonstrated experience in Golang development and with distributed computing
  • Proficiency in working with information/data models
  • Strong background in distributed systems, understanding the problems and know how to build consistent, reliable, scalable, and efficient systems.
  • Exposure to formal test methods, deterministic simulation testing, Satisfiability Modulo theories, Boolean Satisfiability
  • Experience with declarative model transformations or mappings - e.g. in a data pipeline
  • Exposure to RDF technologies such as SHACL, SHACL-AF, RML, SparQL or JSON-LD
  • Some exposure to LDAP, Active Directory, OIDC, SAML, Kerberos, Amazon IAM, or other enterprise/cloud authentication/authorization technologies

Required qualifications, capabilities, and skills

  • Strong software engineering fundamentals and programming skills
  • Demonstrated experience in Golang development and with distributed computing
  • Proficiency in working with information/data models

Preferred qualifications, capabilities, and skills

  • Strong background in distributed systems, understanding the problems and know how to build consistent, reliable, scalable, and efficient systems.
  • Exposure to formal test methods, deterministic simulation testing, Satisfiability Modulo theories, Boolean Satisfiability
  • Experience with declarative model transformations or mappings - e.g. in a data pipeline
  • Exposure to RDF technologies such as SHACL, SHACL-AF, RML, SparQL or JSON-LD
  • Some exposure to LDAP, Active Directory, OIDC, SAML, Kerberos, Amazon IAM, or other enterprise/cloud authentication/authorization technologies
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