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Because Africa’s internet penetration and growth is largely driven by mobile, our vision at Terragon Group, is 'innovation to make mobile meaningful’. We are a digital media company focused on Africa and operating from key markets - Nigeria, Ghana, Kenya, South Africa and India. Made up of three independent but complimentary business units: Terra...
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Key Duties and Responsibilities
- Design client-side and server-side architecture, write effective APIs
- Develop and manage well-functioning databases and Telco applications.
- Support in the designing, implementation and evolution of VAS Messaging, Mobile data, WAP, GPRS, SMSC & USSD GW Multi-media products etc.
- Develop documentation processes and procedures for managing VAS network and provide the necessary information required for implementation.
Requirements
You’d be a good fit if you have:
- A minimum of 4 years working experience in all aspects of web and mobile application development and management
- Knowledge of Python, Linux, scripting, or programming capabilities. Python certifications will be an added advantage.
- Experience with UNIX/Linux system administration, web server configuration and in developing Telco applications.
- Knowledge of Python back-end languages and familiarity with databases with a solid background in Linux.
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Key Duties and Responsibilities
- Evaluating and monitoring our models, their performance, and their effects on consumers.
- Identifying potential problems or opportunities for improvement, communicate these issues to the team and suggesting solutions.
- Using predictive modelling to optimize marketing campaigns and consumer experiences thereby improving revenue growth.
- Help Data product managers and business stakeholders understand the potential and limitations of AI when planning new products and use cases.
Requirements
You’d be a good fit if you have:
- 3 to 6 years as a Data Scientist in a production setting.
- Knowledge in applied statistics (e.g., AB testing, hypothesis testing, linear and logistic regression) to manipulate data and draw insights from large datasets.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Proficient understanding of code versioning tools, such as Bitbucket, Git, Mercurial, SVN etc.
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Key Duties and Responsibilities
- Building complex web applications using the latest web tooling and modern javascript frameworks including ReactJS & Redux, ES2018+, Angular, RPC and NodeJS.
- Using experimentation and data analysis tools to tune your web applications to be high-performing, intuitive and functional.
- Designing scalable client-side architecture that works with a multi-tenant cloud API
- Championing engineering excellence, establishing business metrics, and driving continuous operational improvement.
Requirements
You’d be a good fit if you have:
- 5+ years of experience as a full-time frontend engineer
- Strong experience and knowledge of HTML, CSS, JavaScript ES6, React JS and Redux, Angular and other core web technology concepts.
- Experience with common front-end development tools such as Babel, Yarn, Webpack, NPM, etc.
- Experience in understanding code bases, including API design techniques, best practices such as documentation.
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Key Duties and Responsibilities
- Working through the full life-cycle management, including requirements analysis, technical design, implementation, testing and documentation.
- Providing escalated ticket/incident management for supported applications as well as will participate in defect management, issue tracking/trending.
- Communicating to end users, engineers, and operations.
- Monitor the application performance and provide technical support as required.
Requirements
You’d be a good fit if you have:
- 4-5 years working experience in AdTech.
- Understanding of full software development life cycle, agile development and continuous
- Integration.
- Professional experience with Java, Cassandra, Kafka, Aerospike.
- Knowledge of mobile app SDKs, APIs, RTB platforms/specs.
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Key Duties and Responsibilities
- You will be the custodian of all production systems powering various products and service offerings across Publishers, Ad Exchanges, Telcos and Financial Services.
- Identifying recurring issues to design and implement automatic response.
- You will be involved in decision making and in rolling out the changes with your team.
- Troubleshooting problems, including impact assessment
Requirements
You’d be a good fit if you have:
- 3-5 years’ experience as a DevOps engineer.
- Knowledge of AWS services and extensive experience deploying dev, staging and production workloads.
- Experience in working on a Linux production platform, running Web Services (NginX, Apache, etc.)
- Good understanding of networking concepts (load balancers, routers) as well as System Administration.
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Key Duties and Responsibilities
- Technically leading end to end new Telco service integrations
- Collaborating with other Engineering teams to support projects, deploy new features and ensuring successful launches of products.
- Performing comprehensive analysis of faults, failures on CS VAS nodes to determine the root cause and conduct corrective action for permanent resolution.
- Working closely with other stakeholders (products & services, customer care and Network Planning) to deliver quality value-added services.
Requirements
You’d be a good fit if you have:
- A minimum of 3-5 years of experience in deployment, implementation, and system integration of VAS products.
- Knowledge of Telecom domain and legacy protocols related to VAS products like SMSC and USSD, for setting up SMSC and USSD gateway & Direct carrier billing applications.
- Basic Networking skills for VPN setup, IP routing, Firewall concepts & networking troubleshooting skills.
- Familiarity with end-to-end Telco applications deployment & integration on AWS/Azure Virtual machines setup.
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Key Duties and Responsibilities
- Collaborating with technology and business teams to develop and maintain end-to-end project plans, ensuring on-time delivery, including drafting requirements, using, and testing cases as well as support and escalation plans.
- Working with data engineers to ensure that development follows established processes and works as intended.
- Designing and implementing tools/framework to improve productivity and reinforcing the security of the corporate infrastructure and IT systems.
- Testing and examining infrastructure as code written by other DevOps engineers.
Requirements
You’d be a good fit if you have:
- 4+ years of experience building and/or maintaining Enterprise software/hardware systems in Telco, banking, consulting, and internet businesses.
- Experience in build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- Experience with big data tools: Hadoop, Spark, Kafka, etc. & relational SQL, and NoSQL databases, including Postgres and Cassandra.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
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Key Duties and Responsibilities
- Creating software deployment strategies essential for the successful deployment of software in the work environment.
- Designing, building, and optimizing automation systems to execute business web and data infrastructure platforms.
- Conducting research, tests and executing new techniques to stay abreast of industry trends and best practices.
- Getting involved in creating technology infrastructure, automation tools and maintaining configuration management.
Requirements
You’d be a good fit if you have:
- A minimum of 3-5 years working experience as a DevOps Engineer.
- Experience in Nginx, Git, Jenkins, Ansible, Docker, Terraform, Kubernetes
- Experience in Networking, Firewall rules and Server management. Familiarity and hands-on experience on deployment strategy.
- Good Linux/Unix Administration skills and knowledge on any cloud service provider.
go to method of application »
Key Duties and Responsibilities
- Evaluating and monitoring our models, their performance, and their effects on consumers.
- Identifying potential problems or opportunities for improvement, communicate these issues to the team and suggesting solutions.
- Using predictive modelling to optimize marketing campaigns and consumer experiences thereby improving revenue growth.
- Help Data product managers and business stakeholders understand the potential and limitations of AI when planning new products and use cases.
Requirements
You’d be a good fit if you have:
- 3 to 6 years as a Data Scientist in a production setting.
- Knowledge in applied statistics (e.g., AB testing, hypothesis testing, linear and logistic regression) to manipulate data and draw insights from large datasets.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Proficient understanding of code versioning tools, such as Bitbucket, Git, Mercurial, SVN etc.
Method of Application
Use the link(s) below to apply on company website.
Note: Only Suitable and Qualified candidates will be contacted.
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