What are the responsibilities and job description for the Incident Engineer position at WeVision LLC?
Job Description for WeVision Incident Engineer (Harmony/Kafka/CoreDataPL direction)
About the Job
As an Incident Engineer supporting one of our largest clients, you will work closely with Incident Managers, global peer Incident Engineers, and client-side senior development engineers and team leads to mitigate production incidents during your shift. You will utilize incident runbooks, existing documentation, independent research, investigation, troubleshooting, testing, and prior experience to restore services efficiently. This role provides exposure to modern data processing and streaming technologies, including Kafka-based systems, while continuously expanding technical and operational expertise.
Responsibilities
- Act as a first-tier incident responder by promptly acknowledging alerts, analyzing incidents, and independently identifying accurate mitigation solutions
- Investigate incidents using runbooks, knowledge bases, documentation, and self-driven research
- Identify root causes, clearly document findings, and capture actionable learning points for team sharing
- Communicate proactively with Incident Managers and client-side senior engineers or team leads
- Escalate incidents as needed with thorough technical context and analysis
- Work independently on incidents while maintaining strong attention to detail and accuracy
- Effectively multitask across incidents, operational tickets, and project work in a fast-paced environment
- Recognize recurring patterns and connect insights across multiple incidents
- Continuously expand technical knowledge through documentation, runbooks, and online resources
- Prepare and present demos or knowledge-sharing sessions based on learnings
- Perform routine operational tasks such as cluster or machine maintenance and access or permission management
Skills Summary
- Incident Response & Production Support
- Kafka & Streaming Platforms
- Databricks
- Distributed Systems Troubleshooting
- Cloud Platforms (AWS)
- Linux & Command-Line Environments
- Scripting & Automation (Bash, Python, JSON)
- Workflow Orchestration (Airflow)
- Containerization & Kubernetes
- Monitoring & Observability Tools
- Technical Documentation
- Cross-Functional Communication
- Attention to Detail & Multitasking
Minimum Qualifications
- Associate degree in Computer Science, Information Systema related technical field, or equivalent practical experience
- 2 years of experience in technical support, operations, QA, software development, or related technical roles
- Strong analytical, troubleshooting, and communication skills
- Ability to learn new technologies quickly and work independently
- Quick learner, self-sufficient in learning a broad array of topics in a short amount of time based on video trainings or documentations
- Interested in diving into the technical fields utilizing extensive troubleshooting skills
- Uplifting, empathetic and a marvelous team player
- Growth-mindset and life-long learner
Preferred Qualifications
- Bachelor and above degree in a technical field or additional relevant practical experience
- Hands-on experience supporting or troubleshooting distributed or streaming systems
- Familiarity with Kafka or similar messaging platforms
- Ability to work with multiple differing priorities in a fast-paced, constantly changing
Environment
- Ability to work effectively in a fast-paced, constantly changing environment
- Excellent communications, logical thinking and analytical skills
- Multitasking acumen, resilient, and able to handle pressures
Nice-to-Have Qualifications
- Experience with data streaming and processing technologies such as Kafka and ZooKeeper
- Exposure to AWS infrastructure and cloud services
- Experience with Databricks or other data warehousing platforms
- Familiarity with Linux environments and command-line tools
- Experience with scripting languages such as Bash, Python, or JSON
- Exposure to Airflow, Kubernetes, containers, or similar orchestration technologies
- Experience with monitoring, logging, or collaboration tools such as GitHub, Datadog, Grafana, Jira, or Confluence