Jobgether
Software Engineer P2P - Search Team
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Software Engineer P2P - Search Team
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer P2P - Search Team based in United Kingdom.
This is an opportunity to work on next-generation decentralized search technology within a highly distributed engineering environment.
You will help build resilient, serverless search infrastructure based on true peer-to-peer architecture and decentralized data discovery.
The role combines hands-on software engineering with opportunities to explore research-driven approaches to distributed systems and information retrieval.
You will contribute to technologies capable of indexing and searching text, images, conversations, locations, and other forms of data without relying on a centralized index.
The position is well suited to engineers who enjoy complex technical challenges and prefer turning innovative ideas into production-ready systems.
You will work on high-performance, highly concurrent networking software and contribute to protocols designed for resilience, scalability, and decentralization.
Strong curiosity, technical depth, and a builder mindset will be essential in shaping this evolving technology stack.
Accountabilities
- Design and develop next-generation peer-to-peer search infrastructure based on decentralized and serverless architectures.
- Build resilient distributed systems capable of operating without a centralized search index or traditional server infrastructure.
- Develop and optimize distributed indexing mechanisms and search architectures for different types of data, including text, images, chats, and locations.
- Contribute to peer-to-peer networking components, including connectivity, transport reliability, multiplexing, NAT traversal, and encryption.
- Design and implement high-performance, highly concurrent networking code with a focus on scalability, reliability, and efficiency.
- Work with distributed data structures, databases, CRDTs, and decentralized synchronization mechanisms.
- Research, evaluate, and implement approaches related to Kademlia DHTs, skip graphs, prefix hash trees, m-LIGHT, locality-sensitive hashing, and other distributed search techniques.
- Apply information retrieval principles such as recall, precision, ranking, lexical search, semantic search, and inverted indexes to decentralized search systems.
- Test, benchmark, evaluate, and optimize network protocols and distributed search components.
- Investigate complex technical problems, translate research findings into practical solutions, and maintain a strong bias toward implementation.
- Contribute to the evolution of the P2P technology stack, including components such as hyperdht, hyperswarm, hypercore, hyperbee, hyperdrive, and udx-native.
- Collaborate with a globally distributed engineering team to design robust solutions and continuously improve system performance and resilience.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Strong professional software engineering experience with a passion for distributed systems, peer-to-peer technology, networking, or search.
- Deep understanding of one or more relevant areas, such as Kademlia DHT, distributed indexing, distributed databases, CRDTs, P2P networking, or information retrieval.
- Knowledge of TCP/IP, transport-layer connection and reliability models, network multiplexing, NAT traversal, and encryption.
- Familiarity with distributed search and indexing research, including technologies or concepts such as skip graphs, prefix hash trees, m-LIGHT, or locality-sensitive hashing.
- Strong understanding of classical information retrieval and search engine architecture, including recall versus precision, ranking algorithms, lexical and semantic search, and inverted indexes.
- Experience developing high-performance and highly concurrent networking or distributed software.
- Ability to test, evaluate, benchmark, and optimize network protocols and distributed systems.
- Strong interest in technical research combined with a practical, implementation-focused mindset.
- Familiarity with distributed databases, synchronization mechanisms, and conflict-free replicated data types is highly valuable.
- Experience with decentralized or peer-to-peer technologies is a strong advantage.
- Familiarity with the Holepunch ecosystem, particularly hyperdht, hyperswarm, hypercore, hyperbee, hyperdrive, or udx-native, would be advantageous.
- Strong analytical and problem-solving skills, with the ability to work through complex systems-level challenges.
- Excellent English communication skills and the ability to collaborate effectively within a globally distributed team.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- 100% remote working environment with the opportunity to collaborate with a global engineering team.
- Opportunity to work on innovative peer-to-peer and decentralized technologies with significant technical depth.
- Exposure to challenging problems across distributed systems, networking, search, cryptography, and information retrieval.
- Opportunity to combine research-oriented thinking with hands-on software development.
- Ability to contribute to systems designed for resilience, decentralization, and global-scale data discovery.
- Collaborative environment with highly technical colleagues working across different parts of the world.
- Opportunity to help shape emerging technologies rather than simply maintaining established systems.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location