Software Engineer Lead
7 days ago
At Indsafri, we are seeking a skilled Java Software Engineer to join our team.
About the Role:
- We are looking for an engineer who can design and build software solutions that empower customers with modern payment capabilities.
- You will be responsible for architecting and designing software solutions within a multi-team environment.
Key Responsibilities:
- Apply first principles to break down and structure solutions to ambiguous problems.
- Knowledge of payments ecosystem and standards ISO8583, ISO20222.
- Familiarity with version control systems such as Git.
- Knowledge of software testing methodologies and automated testing frameworks.
- Understanding of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Proficiency in other programming languages such as Python, JavaScript, or Kotlin.
- Experience with agile development methodologies like Scrum or Kanban.
- Familiarity with performance optimization techniques for software applications.
Qualifications and Experience:
- Bachelor's Degree or Advanced Diploma in Computer Science, Mathematics, Engineering, or equivalent experience in Software Engineering.
- Excellent understanding of Computer Science fundamentals including Data Structures and Algorithms, and Design Patterns.
- Minimum of 5 years of experience for an Intermediate-level engineer.
- Expertise in Java programming, Spring Boot, and microframework.
- Experience with development and operation in both Linux and Windows environments.
- Proficiency in relational database management systems and proficiency in SQL language.
- Openness to diversify language skill set.
- Experience with open-source database systems like MySQL and Postgres.
- Familiarity with distributed caching using Memcached and Redis.
- Experience with message brokers, queues, and PubSub systems such as Kafka and RabbitMQ.
- Proficiency with containerization and orchestration systems like Docker and Kubernetes.
- Experience with Microservices Architecture and Systems.
- Previous experience working in the fintech or payments industry.
- Experience with big data technologies such as Hadoop or Spark will be advantageous.
- Exposure to machine learning and artificial intelligence concepts will be advantageous.
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