Senior Engineer, Software

Accountabilities:

Architect, build, and optimize distributed systems capable of managing billions of documents and supporting high query volumes with consistently low latency.
Lead the evolution of the search platform by migrating legacy systems to modern architectures while maintaining service continuity and improving performance.
Establish robust engineering practices, including comprehensive monitoring, automated testing, deployment automation, and proactive incident prevention.
Profile, diagnose, and resolve performance bottlenecks across infrastructure, databases, data pipelines, and application layers.
Design and improve data processing architectures that support real-time workloads, efficient information retrieval, and reliable data access.
Strengthen system observability through effective monitoring, alerting, and reliability metrics to identify and address potential issues before they affect customers.
Contribute to the development of advanced search capabilities, including hybrid lexical and vector search approaches.
Collaborate with engineers across the team, share technical expertise, and promote a culture of continuous improvement, operational excellence, and knowledge sharing.
Drive measurable improvements in platform scalability, latency, reliability, and infrastructure efficiency throughout the first year and beyond.
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.
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.