
Duty Response Coordinator
2 weeks ago
The Incident Manager plays a pivotal role in bridging the gap between Support, Engineering, and Infrastructure teams. Primary responsibilities include organizing and driving the investigation of production issues within our SaaS product, comprising Spring-based microservices, ML models, and data pipelines hosted on AWS infrastructure.
This is an engineering position that requires passion for product quality, extreme customer empathy, and a constant desire to enhance the quality of our services.
- 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 the 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
- Debugging of 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 (PCI DSS, ISO 27001, SOC2) and prepare supporting evidence
- At least 8 years of 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 systems architecture of cloud-hosted applications
- 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, preferably AWS, infrastructure components
- Experience with REST APIs and tools e.g. Postman
- Experience with application logging/monitoring tools e.g. Kibana, Datadog;
- Experience with SQL, Linux & Network environments
- Willingness to learn new technical skills
Nice-to-Have Skills:
- Understanding of basic ML concepts and LLM's
- 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 & Microservices
- Network and application security
- Working within a PCI DSS environment
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