Aumni
Open positions
Lead Software Engineer - Python, Cloud & AI/ML
JPMorgan Chase (Aumni) is hiring a Lead Software Engineer in London for its Markets Research Technology team, hands-on building secure, scalable cloud-native data and backend products with AI/ML at production scale, while leading best practices and driving AI-assisted development across teams.
Lead Software Engineer - Python, Data, Cloud, AIML
Lead Software Engineer on JPMorgan Chase's Commercial & Investment Bank Markets Research Technology team in London, a hands-on role building cloud-native data, backend, and AIML engineering to industrialize AI/ML models at production scale. Core stack: Python, AWS data services (Glue, S3, Athena), containers, Kubernetes, and MLOps.
Software Engineer III - Java E-Trading Developer
Java e-trading developer on J.P. Morgan's Macro e-trading platform in London, building highly available, low-latency components that stream real-time prices and execute client trades across FX, Rates, Commodities, Credit and ETFs. Core stack: Java, FIX protocol, low-latency middleware, Linux, and CI/CD tooling.
Sr Lead Infrastructure Engineer- Devops/AWS
We're looking for a hands-on DevOps / SRE engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies. As a Lead DevOps / SRE Engineer - Vice…
Senior Full-Stack Engineer — AI‑Augmented, Secure & Scalable
JPMorganChase in Glasgow seeks a seasoned Full Stack Software Engineer III to join Corporate Technology's Regulatory Risk Team. You will design and deliver trusted, secure, scalable technology solutions across multiple…
Python Software Engineer III
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team. We have an exciting and rewarding opportunity for you to take your software engineering career…
Python/AIML Developer - Software Engineer III
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 JPMorganChase within the Corporate Technology, you serve as a seasoned…
Senior Lead Software Engineer - Python, AI & LLM
Senior lead engineer in J.P. Morgan's corporate AI/ML and data platform team, designing LLM inference services (vLLM, TensorRT-LLM, SGLang), Kubernetes deployment patterns, and developer tooling so engineering teams can adopt AI securely at scale. Based in Glasgow.
Director of Software Engineering - Workforce ExperienceTechnology
Director-level engineering leader at JPMorganChase's Workforce Experience Technology in Dublin, owning strategy, delivery, and operations of the cloud-native Talent Performance platform for the firm's global employees. Core stack includes Java/Spring Boot, React/TypeScript, GraphQL/REST APIs, AWS, graph and PostgreSQL databases, plus agentic AI-driven engineering practices.
Software Engineer II - Python
Software Engineer II at JPMorganChase's Commercial & Investment Bank technology group in Buenos Aires, building scalable, AI-enabled applications with Python, SQL, React, and AWS. Day to day involves full-stack delivery, data analysis and reporting, and LLM features using prompt engineering, RAG, and human-in-the-loop patterns.
Software Engineer III - Backend / Data Engineer - Java, Python, Databricks
Backend/data engineer (Software Engineer III) on JPMorgan Chase's Commercial & Investment Banking Emerging Markets team, based in Shoreditch, London. Day to day: designing and building secure Java/Spring Boot microservices, Python/Databricks ELT pipelines, and Kafka-driven event-driven systems on AWS within an agile team.
Lead Software Engineer, Java
Lead Software Engineer at JPMorganChase's Asset & Wealth Management (posted under Aumni) in Singapore, building and troubleshooting Java/Spring Boot services in an agile team. The role emphasizes secure, production-quality code, cloud-native practices, and driving adoption of AI-assisted engineering tools across the software development lifecycle.
Senior Full-Stack Engineer — AI-Driven Web Apps
J.P. Morgan in London seeks a Full Stack Engineer to design, build, and support scalable web applications and integrations using Java, Python, and React. You will collaborate with product, marketing, and partners to…
AI-Driven Full-Stack Engineer I
Full-stack engineer on JPMorgan Chase's Applied Innovation of AI team in London, designing, deploying, and maintaining AI products used across the firm. Day to day: productionizing models with engineers, data engineers, and researchers; building data pipelines for analytics, model evaluation, and training; and writing robust, secure backend services.
Software Engineer III - Fullstack (Java, React, Python and AI) Engineer
Join us to shape the future of web applications with innovative AI-driven solutions. You will have the opportunity to work across both backend and frontend technologies, collaborating with diverse teams to deliver…
Lead Java Engineer – AI-Driven, Secure Backend
JPMorganChase in Singapore seeks a Lead Software Engineer to drive architecture and deliver scalable financial technology within an agile team. You will contribute as a core technical engineer across multiple domains,…
Lead Software Engineer - Go / Python
Lead Software Engineer on JPMorgan Chase's Core Foundational Platforms team in Glasgow, building secure production code and system designs while setting strategy for agentic AI-enabled engineering practices. Core stack: Go, Python, React or Java, with Terraform/Ansible automation and cloud-native platforms (AWS EKS/GCP GKE).
Software Engineer III
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 JPMorganChase within the Asset and Wealth Management, you serve as a…
Senior Manager of Data Engineering
Leads teams of data engineers at JPMorgan Chase's Enterprise Platforms in Dublin, onboarding enterprise datasets onto the Palmos platform and delivering scalable, secure data pipelines with Databricks, Spark/PySpark, Python, SQL, and AWS, aligned to data mesh principles to power analytics, reporting, and AI/ML across the firm.