Principal Software Engineer, Site Reliability (AI)

TL;DR

Principal Software Engineer, Site Reliability (AI/SRE): Building and scaling AI-powered SRE platforms and systems to ensure compliance and SLA promises with an accent on automated remediation, incident detection, and platform adoption. Focus on architecting large-scale distributed systems, designing internal platforms for other engineering teams, and integrating AI capabilities into reliability workflows.

Location: Bucharest, Romania (Hybrid/Remote flexibility varies by team)

Company

A category-leading enterprise software company specializing in the transformative power of automation to change how the world works.

What you will do

• Design and build AI-powered SRE platform systems as products that other engineering teams depend on in their critical path.
• Manage livesite monitoring rotations, handle escalations, and drive effective mitigations via detailed post-mortems.
• Drive availability, scalability, and performance improvements based on production learnings and codified best practices.
• Onboard other teams onto SRE platforms by writing integrations and removing friction personally.
• Mentor software engineers through hands-on coaching, advice, and training opportunities.
• Influence engineering-wide process improvements and reliability architectural changes.

Requirements

• 10+ years of experience architecting and engineering large-scale, distributed commercial applications.
• Proven track record of building complex internal platforms adopted by multiple teams at a large company.
• Experience building and maintaining complex AI-powered applications in production.
• Proficiency in one or more OO languages (C#, C++, Java, or Python) with solid computer science fundamentals.
• Deep understanding of microservices, HTTP applications, multithreading, and asynchronous patterns.
• Must be eligible to work in Romania (Bucharest).

Nice to have

• Experience working with or managing production Kubernetes infrastructure.
• Experience with cloud providers (Azure, AWS, GCP) and managed services (AKS, GKE).
• Experience with database backends such as Azure SQL, CosmosDB, MongoDB, or MySQL.

Culture & Benefits

• Flexible work arrangements including hybrid and remote options depending on business needs.
• Inclusive workplace that values diverse backgrounds and equal opportunities for all.
• Product-driven engineering culture where internal tools are treated as products with a focus on user feedback.
• Collaborative environment emphasizing curiosity, generosity, and a fast-moving growth mindset.