Website:
planetlink.in
Job details:
Overview
We are seeking a technically capable Operations Engineer to join our Enterprise AI Operations team. The role will provide Tier 2 and Tier 3 support for Enterprise AI applications and platforms, ensuring reliable, secure and well-governed services for the business.
The successful candidate will support deployments, investigate and resolve production issues, manage operational processes, monitor platform performance, administer user access, and contribute to the continuous improvement of Enterprise AI operations. This role requires strong technical aptitude, excellent communication skills and a genuine interest in AI technologies.
Required Experience
- Experience in Application Support, Production Support, Cloud Operations, Infrastructure Operations, or a similar technical support role.
- Experience supporting deployments using CI/CD tooling such as Jenkins or equivalent.
- Strong troubleshooting, diagnostic and problem-solving skills.
- Experience supporting cloud-hosted applications and enterprise platforms.
- Experience with APIs, authentication and system integrations.
- Experience using monitoring, logging and observability tools.
- Experience with Incident, Problem and Change Management processes.
- Experience managing user access and identity-related support activities.
- Strong documentation, organisational and communication skills.
- Ability to manage multiple priorities and work effectively in a fast-paced environment.
Key Responsibilities
Incident & Operational Support
- Investigate and resolve application and production support incidents.
- Troubleshoot issues across applications, integrations, APIs, security, infrastructure and data components.
- Partner with AI Engineers to diagnose application and platform issues.
- Perform root cause analysis and contribute to preventative improvements.
- Monitor operational health, performance dashboards, logs and alerts.
- Maintain accurate incident, problem and support records.
Deployments & Environment Management
- Support deployments across development, test and production environments.
- Execute and validate releases using CI/CD pipelines and deployment tooling.
- Perform technical validation and smoke testing of releases.
- Troubleshoot deployment issues and perform post-release validation.
- Participate in change management and release governance processes.
Access Management & Governance
- Provision, modify and revoke user access to Enterprise AI platforms.
- Support onboarding, offboarding and role changes.
- Perform access reviews and support audit activities.
- Maintain records of access requests, approvals and operational changes.
- Ensure adherence to security, governance and operational standards.
Documentation & Knowledge Management
- Create and maintain operational runbooks, support procedures and knowledge articles.
- Produce clear incident reports, root cause analyses and operational documentation.
- Ensure operational knowledge is captured, maintained and available to support teams.
- Contribute to governance, audit and compliance evidence where required.
Stakeholder Communication
- Provide clear and timely updates during incidents, deployments and service disruptions.
- Communicate technical issues and resolutions effectively to both technical and business stakeholders.
- Produce concise operational reports and service updates.
- Collaborate effectively with Engineering, Product, Infrastructure, Security and Support teams.
Continuous Improvement
- Identify opportunities to improve operational processes, monitoring and service reliability.
- Identify opportunities to reduce manual effort through AI and automation.
- Support the introduction of new AI capabilities into production operations.
- Contribute to the ongoing maturity of Enterprise AI operational practices and support model
Preferred Experience Level
- 4 to 7 years' experience in technical operations, application support, production support, cloud operations or DevOps.
- Experience providing Tier 2 and Tier 3 support for enterprise applications.
- Experience working within regulated, governance-focused or business-critical environments is advantageous.
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