Application Support Engineer
Job Summary
- Investigate troubleshoot and resolve application-related issues across backend services APIs databases and frontend integrations.
- Debug and analyze Golang-based applications to identify defects performance bottlenecks and operational issues.
- Replicate reported issues in development or staging environments and document detailed reproduction steps.
- Perform root cause analysis (RCA) for incidents and provide clear technical reports and remediation recommendations.
- Write and execute SQL queries to validate data investigate inconsistencies correct anomalies and support operational reporting.
- Collaborate with frontend and backend engineering teams to identify integration issues and implement fixes where necessary.
- Analyze logs traces metrics and API responses to diagnose application behavior and failures.
- Develop and maintain internal troubleshooting guides operational runbooks and support documentation.
- Monitor production systems and proactively identify issues before they impact users.
- Participate in incident management escalation handling and post-incident reviews.
- Support deployment verification and perform regression validation after fixes are released.
- Assist in improving system reliability observability and operational tooling
Requirements
Strong experience working with Golang applications in production environments.
Solid understanding of debugging techniques logging and performance troubleshooting.
Experience replicating issues and performing detailed root cause analysis.
Strong SQL skills with the ability to write complex queries for investigation validation and data correction.
Experience working with relational databases such as MySQL or PostgreSQL.
Understanding of REST APIs JSON payloads HTTP requests/responses and service integrations.
Experience interacting with frontend applications to trace user flows and identify integration or UI-related issues.
Ability to read understand and modify application code when required to resolve issues.
Familiarity with Linux environments containerized applications and cloud infrastructure is an advantage.
Experience using monitoring and logging tools such as Grafana Kibana Datadog Sentry or similar platforms.
Excellent documentation and communication skills.
Preferred Qualifications
Experience supporting distributed or microservice-based systems.
Familiarity with Docker Kubernetes or AWS environments.
Understanding of CI/CD pipelines and deployment processes.
Experience handling financial payment or transactional systems is a plus.
Key Competencies
Strong analytical and problem-solving skills
Attention to detail
Ability to work independently under pressure
Effective communication and stakeholder management
Ownership mindset and proactive troubleshooting approach
Benefits
Why you should join us
You would be part of a dynamic startup revolutionizing the vehicle subscription and financial services industry for gig workers in Africa.
You would be part of a dynamic environment where your ideas are heard and your contributions propel us forward.
You would work alongside passionate talented colleagues who share your commitment to excellence.
You would witness firsthand the positive change your work brings to the lives of thousands of riders and drivers.
You would enjoy a comprehensive benefits package including a competitive salary health insurance and exciting growth opportunities.
Required Skills:
Requirements Skills and Competencies: Bachelors degree in Data Analytics Statistics Economics Computer Science Engineering or related field (Masters preferred). 7 years of progressive experience in analytics business intelligence performance management or data strategy roles. Proven leadership experience managing analysts or cross-functional performance programs. Advanced proficiency in SQL and experience working with complex enterprise datasets. Expert-level capability with BI and visualization tools (Power BI Tableau Looker). Strong understanding of KPI governance performance frameworks and operational analytics. Exceptional stakeholder management skills with ability to influence executive decisions through data. Strong communication and executive presentation capability.