Requirements

• At least five years of experience building, deploying, and operating distributed systems in production environments.
• Proven experience with large-scale data platforms, high-throughput systems, or infrastructure supporting demanding workloads.
• Strong understanding of distributed systems fundamentals, including sharding, replication, consistency models, and partition tolerance.
• Demonstrated ability to analyze and optimize performance, identify bottlenecks, and implement effective solutions across the technology stack.
• Experience designing data pipelines, real-time processing systems, or database internals and architectures.
• Proficiency in building observable, reliable systems with comprehensive monitoring, alerting, and diagnostic capabilities.
• Strong problem-solving skills, sound architectural judgment, and the ability to take ownership of complex technical challenges.
• Excellent communication and collaboration skills, with a willingness to share knowledge, support colleagues, and contribute to engineering excellence.
• Familiarity with search platforms such as Vespa, Elasticsearch, or Solr, or experience working with comparable large-scale data systems, is a plus.
• Experience with Kubernetes, Custom Resource Definitions (CRDs), and infrastructure as code is advantageous.
• Knowledge of information retrieval, ranking algorithms, recommendation engines, or hybrid search combining lexical and vector approaches is desirable.
• Familiarity with JVM-based systems and performance tuning, as well as modern engineering practices in high-growth technology environments, is beneficial.

Benefits

• The opportunity to own and influence a mission-critical search platform serving enterprise customers at significant scale.
• Exposure to modern distributed systems, AI-driven market intelligence, and advanced information retrieval technologies.
• Meaningful technical challenges involving billions of documents, high-throughput workloads, low-latency processing, and platform modernization.
• A collaborative environment with experienced engineers who value learning, knowledge sharing, and continuous technical development.
• The opportunity to drive architectural decisions, improve engineering standards, and make a measurable impact on product reliability and customer experience.
• Remote working opportunities across eligible European locations, with this position advertised for Germany.
• The chance to contribute to an innovative, internationally distributed technology organization serving thousands of enterprise customers.
• A commitment to equal employment opportunities, an inclusive working environment, and reasonable accommodations for qualified individuals in accordance with applicable laws.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.