- Monitor application health, system alerts, logs, jobs, APIs, and production workflows.
- Identify errors, failures, performance issues, and unusual system behaviour.
- Perform initial troubleshooting and determine the impact and priority of incidents.
- Take appropriate corrective actions for issues that can be resolved independently.
- Escalate complex technical issues to the relevant engineering team with clear technical details.
- Track incidents through resolution and ensure proper closure.
- Act as the first technical point of contact during assigned shifts for production-related issues.
- Communicate with clients regarding system issues, incidents, delays, and resolutions in a clear and professional manner.
- Provide timely updates to clients while an issue is being investigated.
- Coordinate with Product, Engineering, AI/Data, and Customer Success teams to resolve client-impacting issues.
- Ensure that client concerns are properly documented and followed through to closure.
- Analyse application and system logs to identify the root cause of common issues.
- Troubleshoot API failures, data issues, job failures, integration problems, and application errors.
- Perform basic database queries and data validation where required.
- Restart/re-trigger failed processes or jobs where appropriate and authorised.
- Identify recurring issues and highlight them for permanent resolution.
- Support engineers in reproducing and investigating production issues.
- Maintain an incident and issue tracker with details of the problem, investigation, action taken, and resolution.
- Maintain shift handover notes to ensure continuity between shifts.
- Document recurring issues, troubleshooting steps, and known solutions.
- Prepare basic incident reports / RCA inputs for significant production issues.
- Follow defined escalation and incident management processes.
- 1–3 years of experience in Technical Support, Application Support, Production Support, NOC, or similar roles.
- Good understanding of application and system monitoring.
- Ability to read and interpret application/server logs.
- Basic knowledge of SQL and databases.
- Understanding of REST APIs, HTTP status codes, JSON, and API troubleshooting.
- Basic knowledge of Linux/Unix commands and command-line troubleshooting.
- Familiarity with tools such as log monitoring, ticketing, alerting, or monitoring platforms.
- Good troubleshooting and problem-solving ability.
- Comfortable coordinating with technical and non-technical stakeholders.
- Good written and verbal communication skills.
- Experience with Python, JavaScript, or any scripting language.
- Experience with PostgreSQL/MySQL or similar databases.
- Exposure to AWS/Azure/GCP or cloud-based applications.
- Familiarity with tools such as Grafana, Kibana/ELK, Datadog, Sentry, CloudWatch, or similar monitoring/logging tools.
- Experience supporting SaaS products or client-facing technology platforms.
- Basic understanding of CI/CD, Git, Docker, or microservices.
- Experience working in a rotational or shift-based production support environment.
- Someone who can take ownership of issues rather than simply raise tickets.
- Someone comfortable investigating problems independently before escalating.
- Strong attention to detail when analysing logs and identifying errors.
- Ability to remain calm and structured during production incidents.
- Good communication skills, particularly when explaining technical issues to clients.
- Willingness to work rotational shifts and coordinate effectively across teams.
- A proactive approach to identifying recurring problems and improving support processes.
- Morning Shift: 5:00 AM – 10:00 AM
- Evening Shift: 6:00 PM – 11:00 PM
- Timely identification and acknowledgement of production incidents.
- Resolution of issues within defined timelines.
- Effective client communication during incidents.
- Reduction in recurring production issues.
- Accuracy and completeness of incident documentation and handovers.
- Effective coordination with Engineering and Customer Success teams.
Skills Required
- 1-3 years of experience in technical support, application support, production support, NOC, or similar roles
- Understanding of application and system monitoring
- Ability to read and interpret application and server logs
- Basic knowledge of SQL and databases
- Understanding of REST APIs, HTTP status codes, JSON, and API troubleshooting
- Basic knowledge of Linux or Unix commands and command-line troubleshooting
- Familiarity with log monitoring, ticketing, alerting, or monitoring platforms
- Strong troubleshooting and problem-solving ability
- Ability to coordinate with technical and non-technical stakeholders
- Good written and verbal communication skills
- Experience with Python, JavaScript, or another scripting language
- Experience with PostgreSQL, MySQL, or similar databases
- Exposure to AWS, Azure, GCP, or cloud-based applications
- Familiarity with Grafana, Kibana/ELK, Datadog, Sentry, CloudWatch, or similar monitoring and logging tools
- Experience supporting SaaS products or client-facing technology platforms
- Basic understanding of CI/CD, Git, Docker, or microservices
- Experience working in a rotational or shift-based production support environment
- Willingness to work rotational morning and evening shifts
What We Do
Infilect is a pioneer in Visual Intelligence for worldwide Retail. With its global footprint, Infilect partners with Retail Brands and Retailers to help them super-charge their supply-chain and in-store operations. Infilect's SaaS products, that are based on patented AI and Image Recognition technology, provide exceptional speed, accuracy, sales lift, and cost savings to its enterprise customers. Infilect believes in the power of AI and Image Recognition to free humans of mental and physical drudgery so that they can do more with their time and capital. Hence, Infilect's products augment and empower the humans in the Retail Supply-Chain with automated Image Recognition. Infilect also believes in making "net-positive" impact in the world and contributing towards environmental sustainability. With this belief, Infilect solves large-scale & systemic problems with real-time & actionable AI solutions.








