Senior Software Engineer: Signal Processing

Posted 29 days agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: South Africa

🔍 Industry: Mobile authentication, mobile app security, and payments enablement technology

🏢 Company: Entersekt👥 101-250💰 Secondary Market 7 months agoMobile Payments Security Finance Apps Mobile FinTech Software

⏳ Experience: 5+ years

🪄 Skills: AWSDockerLeadershipPythonAgileDynamoDBJavaKafkaKubernetesMachine LearningSCRUMSoftware ArchitectureApache KafkaGoCommunication SkillsMentoringDevOpsMicroservices

Requirements:

5+ years of experience with one or more general-purpose programming languages, such as Java, Python, or Golang, with a strong grasp of object-oriented programming and design principles.
Experience with cloud platforms, particularly AWS. Familiar with key AWS services like Lambda, DynamoDB and S3, and experience deploying and managing applications in cloud environments.
Knowledge of large-scale data processing technologies, such as Apache Kafka or AWS Kinesis for handling real-time data streams and integrating them into scalable solutions.
Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
Exposure to machine learning workflows and understanding of how to integrate ML models into production systems.
Strong understanding of software architecture, with experience building and scaling microservices for high-performance environments.
Familiarity with security best practices, including knowledge of cryptography, public key infrastructure (PKI), and secure system design.
Experience with automated testing, ensuring software quality and stability.
Agile experience: Familiarity with Scrum or Kanban methodologies.
Proven experience in mentoring junior engineers and providing technical leadership.
A bachelor’s degree in computer science, Engineering, or a related field is preferred.

Responsibilities:

Develop, test, and maintain robust, scalable microservices that process large volumes of data in real-time.
Design, implement, and optimize machine learning pipelines that integrate with AWS cloud infrastructure.
Lead the design of new features, ensuring high-performance and secure implementations.
Mentor and guide junior engineers, preparing to transition into a future Team Lead role.
Collaborate with cross-functional teams to define and implement innovative data-driven solutions.
Work with DevOps to ensure smooth deployment and scaling of microservices in cloud environments (AWS).
Drive architectural improvements for high-performance, fault-tolerant systems.

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