Principal Software Engineer - Kinexys

JPMorgan Chase & Co.•Jersey City, NJ

4d•$204,250 - $285,000

About The Position

We’re seeking a Principal Software Engineer to lead technical strategy and hands-on delivery of Kinexys integrations and products across the public blockchain ecosystem. Promote secure, scalable blockchain solutions that connect enterprise systems with public networks and digital asset platforms.

Requirements

Formal training or certification on software engineering concepts and 7+ years applied experience
Deep experience building distributed systems and/or blockchain infrastructure (public chain integrations, node/provider architecture, indexing, RPC reliability, L2/bridging patterns).
Strong system design, performance, and resilience engineering; ability to operate in regulated environments.
Proven technical leadership with a track record of shipping complex platforms at scale.
Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.
Ability to present and effectively communicate with Senior Leaders and Executives.

Responsibilities

Own end-to-end architecture for public-chain connectivity, interoperability, and on-chain/off-chain workflows.
Lead design reviews, set engineering standards, and mentor senior engineers across multiple squads.
Drive security-by-design (key management, smart contract assurance, threat modeling, monitoring/incident response).
Evaluate protocols/partners, contribute to open standards where relevant, and shape the public-chain roadmap.
Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
Applies 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 at scale.
Influences leaders and senior stakeholders across business, and advises cross-functional teams on technological matters within domain of expertise.