Senior Lead Software Engineer, Cloud Infrastructure

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Houston, TXColumbus, OHPlano, TX
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $186k

$130k $235k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $161,500–$211,200.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, Cloud Infrastructure

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The Sr Lead Software Engineer- Cloud Infrastructure (AWS + Full-Stack) joins an agile team to build and deliver secure, scalable technology products. This role involves providing technical guidance, developing high-quality production code, and owning the end-to-end architecture of a distributed, multi-tenant platform. You will build backend APIs, data-collection workloads, and customer-facing dashboards while driving the adoption of AI-assisted engineering practices. Key technologies include Java, Python, JavaScript, TypeScript, Django, FastAPI, and React. You must possess practical cloud-native experience with AWS, Kubernetes (EKS), Helm, and Terraform. Responsibilities include managing RDS, S3, SQS, and EventBridge while ensuring security-by-design for data residency and tenant isolation. The work focuses on delivering software into regulated, isolated environments, specifically solving for multi-tenant architecture and high-volume data pipeline ingestion.

Skills

Python Java JavaScript TypeScript React Django FastAPI AWS Kubernetes EKS Terraform Helm PostgreSQL RDS S3 SQS EventBridge IAM KMS Secrets Manager CI/CD Databricks Spark Delta Lake generative-AI LLM vLLM Pulumi CloudFormation

What you'll do

Develop secure, high-quality production code and perform code reviews and debugging for other team members.
Own the end-to-end architecture of distributed, multi-tenant platforms across cloud SaaS and isolated AWS environments.
Drive the adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.
Establish security and privacy-by-design standards, including data residency, IAM, and signed artifacts.
Provide technical guidance and direction to business teams, contractors, and vendors.
Apply knowledge of SDLC toolchains and automation capabilities to improve value at scale.
Influence project decision-makers to adopt leading-edge technologies and firmwide frameworks.
Coach senior engineers on compliant usage patterns for responsible AI in engineering workflows.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Hands-on experience delivering system design, application development, testing, and operational stability while leading and mentoring technologists.
Advanced proficiency in one or more programming languages, with Java, Python, JavaScript, and TypeScript strongly preferred.
Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools and coaching others on compliant usage.
Advanced proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle.
Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.
Practical cloud-native experience with Kubernetes (EKS), Helm, and infrastructure-as-code tools like Terraform, Pulumi, or CloudFormation.
Deep experience with core AWS services, including EKS, RDS, S3, SQS, EventBridge, IAM, KMS, and Secrets Manager.

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