Senior Engineer, Software

Jobgether SRL; Deutschland; Remote; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Remote work across Europe

Job summary

Jobgether is partnering with a client in Germany to hire a Senior Software Engineer who will shape a high-performance search platform powering AI-driven market intelligence. You will design distributed systems that process billions of documents with millisecond latency, migrate legacy systems, and drive platform modernization.

The role emphasizes observability, real-time data processing, and scalable architectures, with mentorship and cross-team collaboration across Europe.

Qualifications

• 5+ years building, deploying, and operating distributed systems in production.

Responsibilities

• Architect, build, and optimize distributed systems with billions of documents and high query volumes.
• Lead migration of legacy systems to modern architectures while maintaining service continuity.
• Establish monitoring, automated testing, deployment automation, and incident prevention.
• Profile, diagnose, and resolve performance bottlenecks across infra, DBs, data pipelines, and app layers.
• Design and improve data processing architectures for real-time workloads and reliable data access.
• Strengthen observability with monitoring, alerting, and reliability metrics.

Skills

Distributed systems

Large-scale data platforms

Performance optimization

Observability

Data pipelines

Kubernetes

JVM performance tuning

Search platforms (Vespa/Elasticsearch

Communication & collaboration

Ownership & accountability

Tools

Vespa

Elasticsearch

Solr

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineer, Software based in Germany.

As a Senior Software Engineer, you will help shape and scale a high-performance search platform that powers critical business decisions through AI-driven market intelligence. You will design and optimize distributed systems capable of processing billions of documents and hundreds of queries per second with millisecond-level latency. Working in a collaborative, technically ambitious environment, you will drive platform modernization, improve system reliability, and establish engineering best practices. You will tackle complex challenges across infrastructure, data processing, and application performance while balancing scalability, cost, and efficiency. Your expertise will directly influence how users discover valuable insights and interact with large-scale information systems. This is an opportunity to take ownership of a mission-critical platform, mentor fellow engineers, and contribute to the next generation of intelligent search technology.

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.
• 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.

We appreciate your interest and wish you the best!

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.