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Intermediate java developer
Intermediate Java developer (4–6 years) joining a leading financial services institution in Johannesburg on a hybrid model. Day to day: develop, test, debug and performance-tune Java applications, write technical specs, and support systems through the SDLC using Java 8+, Spring and SQL.
Business Systems Engineer - Japanese Bilingual
On-site Business Systems Engineer at an IT consulting firm in Torrance, CA, handling the full lifecycle of client business systems — requirements, development, testing, deployment, and maintenance. Core stack: C#, WPF/WinForms, ASP.NET (MVC), and MS SQL Server; bilingual English/Japanese fluency is required.
NodeJS Developer
A Node.js developer role at WE THINK APP. The posting lists the core stack as Node.js, AWS, and Terraform, so day-to-day work centers on building Node.js services on AWS with infrastructure managed via Terraform.
Java developer
Java developer at WE THINK APP working on GoAudits, a mobile/web platform for audits and inspections that replaces paper checklists. Day-to-day backend work with Java 8, Spring Boot, Hibernate, and microservices on AWS, with DevOps tooling like Docker, Kubernetes, and Jenkins.
Java Developer
Java Developer at WE THINK APP building backend services with Java, Spring Boot, and microservices on AWS, using Kafka for messaging, plus front-end work in Angular or React.
Java Developer
Java Developer role in Hyderabad (on-site) building backend applications with Java, Spring Boot, and microservices deployed on AWS. Day-to-day work centers on developing and maintaining Java-based microservice systems.
Java Developer
On-site senior Java developer role in Hyderabad: design, build, and maintain Java applications using Spring Boot, microservices, and Hibernate for banking-domain projects, while troubleshooting issues and mentoring junior developers.
Founding Engineer
Founding engineer at Luabase, a 6-person, $4.5M-funded startup building a SQL-based data stack for web3 teams. You'd build real-time on-chain and off-chain data pipelines, a dbt-based modeling layer, a blockchain decoding layer, and optimize ClickHouse performance, using Python and SQL.