Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Senior Lead Software Engineer on JPMorganChase's Consumer & Community Banking tech team in Jersey City: writes and reviews secure production Java code, provides technical direction, and drives adoption of enterprise AI-assisted engineering practices. Core stack includes Java, Kubernetes, CI/CD automation, and AWS.
Lead engineer on JPMorganChase's Workforce Experience team in Dublin, designing backend services, data models, and AWS infrastructure for HR talent-management applications while driving AI-assisted engineering practices. Core stack: Java/Spring Boot, Python, Terraform, AWS, PostgreSQL/Neptune, CI/CD.
Lead backend software engineer on JPMorganChase's Commercial & Investment Bank Digital Post Trade Technology group, designing, building, and troubleshooting secure, scalable post-trade services in an agile team. Core stack is Java with Spring Boot and Kafka, plus NoSQL stores and optionally AWS.
Lead backend software engineer at JPMorgan Chase building Java/Spring Boot microservices and distributed systems for the Equities Broker Dealer and Prime Finance platform (securities lending, trade lifecycle, clearing & settlement), while integrating AI/ML and GenAI (LLMs, RAG, vector databases) securely at enterprise scale.
Lead Java engineer on JPMorganChase's Wholesale Credit Risk Technology team in Jersey City, building secure, scalable risk products. Day to day: leading development and code reviews, driving automation, and championing CI/CD and security best practices across frontend and backend work.
Lead Software Engineer at JPMorgan Chase's Digital Post Trade Technology group in Jersey City, NJ: driving design, development, and delivery of scalable, secure post-trade products — building production-grade Java applications (Spring Boot, Kafka), reviewing code, and guiding architecture discussions with stakeholders.
Lead iOS engineer on JPMorganChase's Consumer & Community Banking technology team in New York, building and maintaining secure, scalable iOS apps with Swift/SwiftUI, UIKit and Core Data, while driving team adoption of AI-assisted engineering practices, code quality standards, and CI/CD in an agile environment.
A Lead DevOps Engineer on JPMorganChase's Execution Services Technology team in London, guiding DevOps practices and building secure production code while collaborating with business units and global partners. Core tech includes AWS, Linux, Python/Perl, CI/CD tooling and cloud-native architectures.
Lead Data Engineer at JPMorgan Chase (UK) designing, building, and maintaining scalable data processing solutions on Databricks, Python, and AWS. Day to day involves mentoring associates, guiding SDLC, ensuring data quality and security, implementing monitoring, and modernizing data warehouses.
Lead DevOps Engineer in JPMorganChase's Execution Services Technology team (Global Electronic Trading Group) in London, supporting low-latency electronic trading, data analytics and quant environments. Day to day involves CI/CD and release management, capacity monitoring, third-level production support, and building Python/Linux automation tooling on cloud-native AWS infrastructure.
Data Engineer III at JPMorganChase in Dublin, joining an agile Enterprise Platforms team that onboards enterprise data and builds scalable ELT pipelines on the Palmos platform. Day to day involves Python, Spark/PySpark, Databricks, and SQL on AWS to deliver curated datasets for analytics, reporting, and AI/ML within a data mesh architecture.
Data engineer role on JPMorganChase's Enterprise Platforms team in Dublin: onboarding data into the Palmos platform and building scalable, secure data pipelines for analytics, AI/ML, and reporting using Python, PySpark, SQL, and Databricks, while following data mesh standards and integrating governance and security practices.
Data Engineer at JPMorganChase in Singapore who designs and operates scalable data pipelines and architectures for analytics, working in an agile team on large TB/PB-scale datasets with a focus on reliability, security, and data accuracy. Core stack: Python, Spark, AWS services, and CI/CD.
Data Engineer III at JPMorganChase's International Consumer Bank in Singapore: design, build, and maintain secure, scalable AWS data pipelines, microservices, and analytics platforms as part of an agile team. Core stack is Python, Spark/PySpark, AWS services (S3, Glue, EKS, Lambda, Athena), SQL, Terraform, and CI/CD DevOps practices.
Lead Software Engineer focused on building AI-enabled tools and agentic workflows to enhance employee productivity and developer experience. Core technologies include Python, AWS, and AI-assisted engineering tools within an agile, large-scale financial services environment.
Lead backend engineer at JPMorganChase's Consumer & Community Banking, leading an agile team that builds data-centric, low-latency distributed applications and APIs. Core stack is Java, Spring Boot, AWS, and Kafka, with a focus on driving adoption of AI-assisted engineering practices across the SDLC.
Lead Site Reliability Engineer at JPMorgan Chase driving SRE frameworks across global Google Cloud environments and championing a DevOps culture with automated, elastic services. Day to day: cross-regional collaboration on high availability, strong SLAs, and AI-assisted incident response within the Cloud Foundational Services SRE team.
A senior engineering leadership role in JPMorganChase's AI/ML & Data Platforms group in London: leading a technical area and cross-functional teams, driving AI-assisted engineering practices across the SDLC, and building cloud-based (AWS) applications. Requires 10+ years of software engineering experience.
Senior Lead Data Engineer on JPMorganChase's Behavioral Insights Team in London, owning reliability and performance of reporting/analytics pipelines (SLIs/SLOs, error budgets, automated dashboards and near-real-time views) using SQL, Tableau/Power BI/Looker, ServiceNow, and optionally Python, AWS, and cloud data platforms like Snowflake/dbt; also mentors junior engineers.
Hands-on senior engineer on JPMorgan Chase's Commercial & Investment Bank Markets Research Technology team in London, designing and building cloud-native data, backend and MLOps solutions — primarily in Python on AWS — to industrialize AI/ML models at production scale.
We couldn't check your fit for this role — add a CV to your profile to see it next time.