Lead Distributed Systems Engineer

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Distributed Systems Engineer at JPMorganChase, you'll 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 will be responsible for building and evolving critical backend platforms and services that operate reliably at scale across multiple systems, regions, and environments-supporting the firm's business objectives.

We are seeking a dedicated professional who is a strong team player, self-motivated, and driven to achieve engineering excellence on short timescales.

This is an extremely hands-on, delivery-focused, technical position involving deep analysis, coding, testing, performance tuning, and close partnership with product, SRE/operations, and end users.

Prior experience in financial services is desirable, but curiosity, strong fundamentals, and the ability to learn quickly are just as important.

The role involves a high degree of teamwork, technical design reviews, and peer interaction.

Job Responsibilities


* Executes software solutions: leads design, development, and technical troubleshooting, thinking beyond routine approaches to build resilient distributed solutions and break down complex production problems.


* Builds secure, high-quality production services: develops and maintains low-latency and/or high-throughput services, background workers, and APIs with strong correctness and reliability guarantees.


* Designs for scale and reliability: produces architecture and design artifacts for complex distributed applications (e.g., service decomposition, data consistency patterns, caching, failover) and ensures design constraints are met in implementation.


* Ensures operational excellence: owns systems end-to-end including observability (metrics/logs/traces), incident response, capacity planning, and performance optimization.


* Works with large, diverse datasets: gathers, analyzes, and synthesizes signals from production telemetry and business data to drive continuous improvement and to inform reliability and scalability work.


* Identifies systemic issues: proactively detects hidden failure modes (hot partitions, thundering herds, cascading failures, backpressure gaps) and drives improvements to coding hygiene, testing strategy, and architecture.


* Collaborates across teams: partners with platform, infrastructure, security, and dependent application teams to deliver well-integrated capabilities and clear service contracts.


* Contributes to engineering communities: participates in communities of practice and events that explore new and emerging technologies and raises the bar through mentoring and design/code review.


* Builds inclusive culture: contributes to a team culture of diversity, equity, inclusion, and respect.

Required qualifications, Capabilities & Ski...