
Production Issue Investigator
1 week ago
We are seeking a highly skilled Incident Management Specialist to play a vital role in enhancing customer experience by organizing and driving the investigation of production issues in our microservices application hosted on AWS.
This is an engineering-focused position, not a management role. As a key link between our Support, Engineering, and Infrastructure teams, you will report findings to Engineering, Support, and other stakeholders, ultimately contributing to improved product quality.
- Investigate production issues raised by customers, Support, and Engineering
- Work as a liaison between Support and Engineering to facilitate issue resolution, root cause analysis (RCA), and drive implementation of learnings
- Create and track progress of problem tickets in Jira
- Create incident analysis reports with the support of Engineering teams
- Perform log file analysis with Datadog
- Debug basic REST API calls for investigations
- Execute SQL database queries to provide more information for investigations
- Create and update knowledge base articles in Confluence
- Participate in security audits and prepare supporting evidence
Must-Have Skills:
- At least 8 years of working experience in IT (SRE, sysadmin, developer, QA, technical support, or similar)
- University degree in a relevant field
- Strong analytical, problem-solving, and collaboration skills
- Basic understanding of cloud-hosted systems architecture
- Data analysis skills – creating and interpreting dashboards to distinguish between real issues and false positives
- Project management and documentation skills such as Jira and Confluence
- Excellent written and verbal communication skills in English
- Knowledge of cloud infrastructure, preferably AWS
- Experience with REST APIs and tools like Postman
- Experience with application logging/monitoring tools like Kibana, Datadog;
- Experience with SQL, Linux, and Network environments
- Willingness to learn new technical skills
Nice-to-Have Skills:
- Understanding of basic ML concepts and LLMs
- Experience with Git or similar version control system
- Experience with agile software development process
- Jenkins or similar CI pipeline
- Bash scripting for Linux
- Basic skills in software development e.g., Java, Python, JavaScript, Go;
- Experience with Docker and Microservices
- Network and application security
- Working within a PCI DSS environment
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