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Engineering manager at JPMorgan Chase in Buenos Aires leading multiple teams in the EMEA Last Mile Regulatory Reporting group — managing day-to-day delivery, mentoring engineers, and driving Python software design, development, testing, and CI/CD pipeline optimization.
JPMorganChase's Global Technology team in Argentina is hiring an experienced software engineer to help build secure, scalable banking products. Day to day: writing production code in Java or Python, contributing to design artifacts, and applying CI/CD, security, and cloud practices within agile teams.
Backend software engineer (Software Engineer III) on JPMorganChase's LATAM FX & Rates Engineering team, designing, building, and troubleshooting secure, scalable Java-based financial systems in an agile setup. Core stack is Core Java with Spring, Hibernate, JMS, plus REST services, Oracle/PLSQL, and CI/CD tooling like Git/Bitbucket.
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 II on JPMorganChase's Currencies and Emerging Markets (FX) team in Buenos Aires, building and troubleshooting production software on an agile team. Day-to-day involves secure coding, data analysis/visualization, and system design, with Python, object-oriented databases, front-end, and cloud experience preferred.
Software Engineer III on Proofpoint's Unified Detection team, building large-scale threat detection services that analyze and produce intelligence on cyber threats across email, cloud, and SaaS products, writing clean code in Python/Golang on cloud infrastructure.
Lead Software Engineer on JPMorganChase's CLO Primary Team in Buenos Aires: designs, builds, and debugs secure, scalable production code (primarily Python) in an agile setting, drives architecture evaluations, and improves operational stability using cloud-native practices and CI/CD to support the bank's CLO syndication business.
Afluenta S.A. in Buenos Aires is hiring a full stack developer to build internet platforms end to end — carrying projects from design through to the presentation layer — using PHP, JavaScript/jQuery, HTML5/CSS3 and MySQL/MariaDB/MongoDB. The role requires 5 years of experience and is not remote.
Senior Python Developer in J.P. Morgan's Software Engineering Group at the Buenos Aires Corporate Center, implementing new tools and functionality and contributing to software design and architecture across the full software development lifecycle while partnering daily with stakeholders.
Senior Backend Engineer, 100% remote within LATAM, for a US-based early-stage cybersecurity startup. Day to day: design, build, and own scalable distributed backend services in Java and Python — APIs, databases, message queues — using Docker/Kubernetes and AI/LLM-assisted development workflows.
Software Engineer III on JPMorgan Chase's Client 360 big data platform (Entity Resolution & Relationships) in the Commercial & Investment Bank. Day to day: acquiring and validating large-scale data, building and transforming ETL pipelines on AWS and Databricks, and developing services and APIs in advanced Python.
Experienced front-end developer building scalable, maintainable web applications with Angular 16+, TypeScript, RxJS and NgRx state management at international consulting group Talan. Includes automated testing, code reviews, and a mandatory 24/7 on-call rotation roughly one week every 3-4 months. Permanent, 100% remote role.
Senior Go backend developer designing and building microservices and REST/gRPC APIs in a highly scalable distributed architecture, integrating PostgreSQL, Redis, and Kafka. 100% remote role serving large e-commerce and fintech platforms across Latin America.
Semi-senior backend developer joining the Data & Platforms team of an agtech company in Rosario, Argentina. Day to day: design, build and maintain Python backend services and data pipelines on AWS (S3, DynamoDB, Elasticsearch) using Docker, with gradual expansion into full-stack work.
A full-stack developer role (despite the front-end title) at nonprofit Compassion International: owning web applications end-to-end — requirements, architecture, PHP/Laravel backend, APIs, databases, testing, and deployment — while mentoring other developers and partnering with teams across the US, Brazil, and Latin America. Requires 5+ years of full-stack experience and bilingual English/Spanish
Unilever (posted via INDI Staffing) seeks a Digital Transformation Lead - Cybersecurity Specialist for its Foods plant in Pilar, Argentina, to lead the site's digital roadmap: industrial automation, advanced analytics, AI, IT/OT convergence and OT cybersecurity, plus change management and vendor coordination.
Data Platform Engineer (posted as Principal Software Engineer) at pharma company Boehringer Ingelheim: designs, builds, and operates cloud-native data platform services on AWS and Snowflake — event-driven integrations, reusable APIs, CI/CD, Infrastructure-as-Code and observability — using Java, Python, SQL and AI-assisted development tools.
Senior Data Engineer building data ingestion connectors, ingestion services, and scalable pipelines for a cybersecurity platform handling identity, cloud, and network data. Customer-facing role implementing REST APIs and secure data flows across AWS, Azure, and GCP; remote within LATAM.
Data Engineer at Chevron's Global Business Services in Buenos Aires (Puerto Madero), part of a 1,800+ person shared IT/services center. The role builds and maintains automated data transformation pipelines — ingesting, cleansing, and preparing data from multiple sources to enable analytics and ML — using Azure Data Factory, Databricks, Python, Java, and CI/CD practices.
Senior data engineer for a performance marketing agency serving higher-ed and nonprofit clients: builds API pipelines from ad platforms and CRMs through Adverity into a BigQuery warehouse, models data with dbt/Dataform, and powers Looker Studio dashboards and automated Google Sheets reports. Core stack: Python, SQL, BigQuery, dbt, Adverity.
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