Cellulant is a mobile commerce and content company that manages delivers and bills for digital content and commerce service actualized over telecom network. The industry defines this segment as mobile Value Added Service (VAS) or Wireless Premium Rate Service Provider (PRSP) We are a member company of the Cellulant group which has commercial services running in Kenya, Ghana, Malawi, Nigeria, Zambia, South Africa , Uganda , Botswana and the EU. Cellulant Nigeria have rolled an innovative and top-class business and technolgy solutions to banks, multinational companies like Guinness Nigeria Plc being her technology partner in the 'Guinness Greatest Eleven Nigerian football legend’o, Pepsi Sponsored FIFA U-17 football tournament hosted by South Korea, Procter and Gamble(P&G), Nigerian Breweries, automobile giants like Toyota Nigeria Limited, Fast moving and consumer goods (FMCGs) companies like Unilever, Mr. Biggs and a host of other companies like Promasidor, Smithline and Beechams SKG etc.
JOB DESCRIPTION:
- As a member of the Observability team, you will be responsible to maintain and develop the observability tooling. You will use industry best practices to help with the design and development of observability processes and tooling using your software development/ systems administration knowledge. You will be expected to champion automation efforts within the team from deployment of your code to identifying opportunities for end to end automation in event and incident management.
KEY RELATIONSHIPS:
- Customer Success
- Software Engineering
- Platform Engineering
- Service Operations
CORE RESPONSIBILITIES:
- Your role is to Build, scale and manage our observability stack across our multi-tenant infrastructure including managing our observability tooling clusters, logging pipelines and telemetry system data.
- You will Actively engage and help our developers to improve the monitoring of their services
- Actively drive initiatives towards better system design and implementation of new technologies.
- You will work to develop additional capabilities on our observability platforms by incorporating additional data types like clickstream data and frontend user interactions.
- You will drive key initiatives in modern observability concepts like, SLIs, SLOs, error budgets, distributed tracing, canonical logging, etc.
- You will collaborate with architects, leads and managers to foster a data driven culture based on observability and reliability
- You will be responsible for developing machine learning capabilities into the observability systems to enhance signal and reduce noise.
- You will participate in observability on-call rotation to support any issues affecting the observability systems and to support other technology teams in investigations during major incidents
QUALIFICATIONS & EXPERIENCE:
- 5+ years of experience.
- Bachelor's degree in an appropriate field of study, including computer science, engineering, information technology, Statistics, or related study.
- Familiar with programming language concepts (Go, Java, Ruby, Python, Javascript)
- Experience with cloud infrastructure and services, especially AWS.
- Experience defining, measuring, and improving Reliability Metrics (SLO/SLI), Observability (Monitoring, Logging-Tracing solutions), Operations Processes (Incident, Problem Management), and Operations Toil Reduction through Automation;
- Experience in programming/ Scripting. Knowledge in python and MySQL, bash, Terraform, Ansible, gitlab and other scripting/ automation tools.
- Experience with distributed systems in a production operations environment.
- Multi-tasking and effective oral and communication skills
- Good understanding of AWS services (Glue and Athena, Amazon Cloudwatch, QuickSight), Kubernetes (EKS), ElasticSearch/ OpenSearch , Newrelic or similar observability tools, Zabbix, Grafana, PagerDuty.
- Proven use of AI (ML/ DL) for data management/ Analysis
- Solid experience is Software Development and/or Systems Administration
SKILLS:
- Programming and Scripting Skills - PHP, Python, Bash, Perl, Java.
- Systems Administration.
- Data Analytics and Visualization
Method of Application
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