Production Operations Engineer
تفاصيل الوظيفة
About the Company Our client is one of the UK's largest technology providers for the hospitality industry. Their products are utilized by over 11,000 pubs, restaurants, and hotels, including prominent brands like Pizza Express and All Bar One. They offer solutions designed to empower their customers to succeed, featuring mobile apps for ordering and web apps that enhance consumer engagement through loyalty programs and reservations. By integrating these solutions with their EPoS (till) system, they enable hospitality brands to gain valuable insights into customer behaviour and preferences, helping them thrive in an increasingly competitive market. They are looking to hire a passionate and driven Production Operations Engineer ready to make a significant impact on their ProdOps team. They are looking for someone with operational expertise and tenacity to help them achieve operational excellence and stability in their services. About the Role Key Responsibilities:
- Foster strong relationships with Development, Platform, and DevOps teams to deliver responsive and knowledgeable service.
- Own and improve incident triage, monitoring frameworks, dashboards, and capacity analytics.
- Utilize your problem-solving expertise to reduce complexity and operational toil through automation and documentation.
- Participate in On-Call cover and Incident Response, ensuring key SLOs for availability and performance are upheld.
- Act as a key stakeholder in technical debt reduction initiatives.
- Background: Experience in application or web services support, operations, or delivery teams.
- Skills: Proficient in scripting (PowerShell, T-SQL) and comfortable with monitoring and logging toolsets.
- Experience: Minimum 2+ years in production environments, with a preference for experience in Managed Services Providers or cloud technologies.
- Collaboration: Strong organizational skills and the ability to communicate effectively with diverse teams.
- Problem Solver: A self-starter who thrives in autonomous environments and can anticipate issues before they impact users.
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