Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
We are looking for an experienced Salesforce L2/L3 Support Engineer to join an Application Management Services (AMS) team supporting the client's CRM ecosystem.
The project covers end-to-end application management and support for a complex CRM environment, including Salesforce Cloud, Cloud CRM, Marketing Cloud, integrations, APIs, middleware components, batch jobs, interfaces and supporting services.
The team is responsible for production support, incident and problem management, application maintenance, bug fixing, enhancements, monitoring, security remediation, continuous improvement, release support and technical documentation.
The service handles approximately 1,300 tickets per year, with defined SLA commitments and established governance processes.
You will be joining a team consisting of a Salesforce Architect, two Salesforce Engineers and a QA Engineer. The role does not require on-call support.
The position can be based in Italy or elsewhere in the EU, provided you have at least B2+ Italian. Occasional presence in Milan may be required, expected to be approximately twice per year for 2–3 days.
experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
CV review – HR call – Interview – Client Interview – Decision
Job details are sourced from the employer's original posting.
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A company operating in Poland and the Middle-Eastern Europe region.